arma-thesis

git clone https://git.igankevich.com/arma-thesis.git
Log | Files | Refs | LICENSE

commit 540f7e0858be4a5f11aa2afccf4cf31c1c4482db
parent 68e1fd461a36c20f2154e3abbca24e85ecef67b2
Author: Ivan Gankevich <igankevich@ya.ru>
Date:   Mon, 25 Sep 2017 10:46:15 +0300

Add common org-mode setup file.

Diffstat:
arma-thesis-ru.org | 260+------------------------------------------------------------------------------
arma-thesis.org | 1204+------------------------------------------------------------------------------
setup.org | 1247+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
3 files changed, 1250 insertions(+), 1461 deletions(-)

diff --git a/arma-thesis-ru.org b/arma-thesis-ru.org @@ -1,270 +1,14 @@ -# Local Variables: -# org-ref-default-bibliography ("bib/refs.bib") -# org-latex-image-default-width nil -# org-latex-caption-above nil -# org-latex-hyperref-template "\\hypersetup{\n pdfauthor={%a},\n pdftitle={%t},\n pdfkeywords={%k},\n pdfsubject={%d},\n pdfcreator={%c},\n pdflang={%L},\n unicode={true}\n}\n\\setdefaultlanguage{%l}\n" -# org-export-latex-tables-hline "\\midrule" -# org-export-latex-tables-tstart "\\toprule" -# org-export-latex-tables-tend "\\bottomrule" -# eval: (add-to-list 'org-latex-classes '("gost" "\\documentclass{gost} [DEFAULT-PACKAGES] [PACKAGES] [EXTRA]" ("\\section{%s}" . "\\section*{%s}") ("\\subsection{%s}" . "\\subsection*{%s}") ("\\subsubsection{%s}" . "\\subsubsection*{%s}") ("\\paragraph{%s}" . "\\paragraph*{%s}") ("\\subparagraph{%s}" . "\\subparagraph*{%s}"))) -# End: - #+TITLE: Высокопроизводительная модель морского волнения для программ динамики морских объектов #+AUTHOR: Иван Ганкевич #+DATE: Санкт-Петербург, 2017 #+LANGUAGE: ru -#+LATEX_CLASS: gost -#+LATEX_CLASS_OPTIONS: [hidelinks,fontsize=14pt,paper=a4,pagesize,DIV=calc,noenddot] -#+LATEX_HEADER_EXTRA: \input{preamble} +#+SETUPFILE: setup.org #+LATEX_HEADER_EXTRA: \organization{Санкт-Петербургский государственный университет} #+LATEX_HEADER_EXTRA: \manuscript{на правах рукописи} #+LATEX_HEADER_EXTRA: \degree{Диссертация на соискание ученой степени\\кандидата физико-математических наук} #+LATEX_HEADER_EXTRA: \speciality{Специальность 05.13.18\\Математическое моделирование, численные методы и комплексы программ} #+LATEX_HEADER_EXTRA: \supervisor{Научный руководитель\\д.т.н Дегтярев Александр Борисович} #+LATEX_HEADER_EXTRA: \newcites{published}{Список опубликованных по теме диссертации работ} -#+OPTIONS: todo:nil title:nil ':t H:5 -#+STARTUP: indent -#+PROPERTY: header-args:R :results graphics :exports results - -* Config :noexport: -** Produce data for Q-Q and ACF plots -#+begin_src sh :exports none :results verbatim -root=$(pwd) -for testname in propagating_wave standing_wave -do - wd=$root/build/$testname - rm -rf $wd - mkdir -p $wd - cd $wd - arma -c $root/config/$testname.arma 2>&1 -done -#+end_src - -#+RESULTS: -#+begin_example -Input file = /home/igankevich/workspace/phd-diss/config/propagating_wave.arma -ACF grid size = (20,10,10) -ACF grid patch size = (0.526316,0.555556,0.555556) -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -AR order = (10,10,10) -Do least squares = 0 -ACF function = propagating_wave -Model = MA -MA algorithm = fixed_point_iteration -Verification scheme = manual -ACF variance = 5 -fixed_point_iteration:Iteration=0, var_wn=2.70831 -fixed_point_iteration:Iteration=1, var_wn=1.93791 -fixed_point_iteration:Iteration=2, var_wn=1.54801 -fixed_point_iteration:Iteration=3, var_wn=1.31202 -fixed_point_iteration:Iteration=4, var_wn=1.15328 -fixed_point_iteration:Iteration=5, var_wn=1.0386 -fixed_point_iteration:Iteration=6, var_wn=0.951442 -fixed_point_iteration:Iteration=7, var_wn=0.882674 -fixed_point_iteration:Iteration=8, var_wn=0.82688 -fixed_point_iteration:Iteration=9, var_wn=0.780623 -fixed_point_iteration:Iteration=10, var_wn=0.74161 -fixed_point_iteration:Iteration=11, var_wn=0.708244 -fixed_point_iteration:Iteration=12, var_wn=0.679374 -fixed_point_iteration:Iteration=13, var_wn=0.654145 -fixed_point_iteration:Iteration=14, var_wn=0.63191 -fixed_point_iteration:Iteration=15, var_wn=0.612168 -fixed_point_iteration:Iteration=16, var_wn=0.594523 -fixed_point_iteration:Iteration=17, var_wn=0.578663 -fixed_point_iteration:Iteration=18, var_wn=0.564333 -fixed_point_iteration:Iteration=19, var_wn=0.551325 -fixed_point_iteration:Iteration=20, var_wn=0.539469 -fixed_point_iteration:Iteration=21, var_wn=0.528623 -fixed_point_iteration:Iteration=22, var_wn=0.518666 -fixed_point_iteration:Iteration=23, var_wn=0.509497 -fixed_point_iteration:Iteration=24, var_wn=0.50103 -fixed_point_iteration:Iteration=25, var_wn=0.493191 -fixed_point_iteration:Iteration=26, var_wn=0.485916 -fixed_point_iteration:Iteration=27, var_wn=0.479148 -fixed_point_iteration:Iteration=28, var_wn=0.472841 -fixed_point_iteration:Iteration=29, var_wn=0.466951 -fixed_point_iteration:Iteration=30, var_wn=0.461442 -fixed_point_iteration:Iteration=31, var_wn=0.456279 -fixed_point_iteration:Iteration=32, var_wn=0.451435 -fixed_point_iteration:Iteration=33, var_wn=0.446882 -fixed_point_iteration:Iteration=34, var_wn=0.442597 -fixed_point_iteration:Iteration=35, var_wn=0.43856 -fixed_point_iteration:Iteration=36, var_wn=0.434752 -fixed_point_iteration:Iteration=37, var_wn=0.431155 -fixed_point_iteration:Iteration=38, var_wn=0.427755 -fixed_point_iteration:Iteration=39, var_wn=0.424538 -fixed_point_iteration:Iteration=40, var_wn=0.42149 -fixed_point_iteration:Iteration=41, var_wn=0.418601 -fixed_point_iteration:Iteration=42, var_wn=0.415859 -fixed_point_iteration:Iteration=43, var_wn=0.413256 -fixed_point_iteration:Iteration=44, var_wn=0.410782 -fixed_point_iteration:Iteration=45, var_wn=0.40843 -fixed_point_iteration:Iteration=46, var_wn=0.406191 -fixed_point_iteration:Iteration=47, var_wn=0.404059 -fixed_point_iteration:Iteration=48, var_wn=0.402029 -fixed_point_iteration:Iteration=49, var_wn=0.400092 -fixed_point_iteration:Iteration=50, var_wn=0.398246 -fixed_point_iteration:Iteration=51, var_wn=0.396483 -fixed_point_iteration:Iteration=52, var_wn=0.3948 -fixed_point_iteration:Iteration=53, var_wn=0.393193 -fixed_point_iteration:Iteration=54, var_wn=0.391656 -fixed_point_iteration:Iteration=55, var_wn=0.390188 -fixed_point_iteration:Iteration=56, var_wn=0.388782 -fixed_point_iteration:Iteration=57, var_wn=0.387438 -fixed_point_iteration:Iteration=58, var_wn=0.386151 -fixed_point_iteration:Iteration=59, var_wn=0.384918 -fixed_point_iteration:Iteration=60, var_wn=0.383738 -fixed_point_iteration:Iteration=61, var_wn=0.382606 -fixed_point_iteration:Iteration=62, var_wn=0.381522 -fixed_point_iteration:Iteration=63, var_wn=0.380482 -fixed_point_iteration:Iteration=64, var_wn=0.379485 -fixed_point_iteration:Iteration=65, var_wn=0.378528 -fixed_point_iteration:Iteration=66, var_wn=0.37761 -fixed_point_iteration:Iteration=67, var_wn=0.376729 -fixed_point_iteration:Iteration=68, var_wn=0.375882 -fixed_point_iteration:Iteration=69, var_wn=0.37507 -fixed_point_iteration:Iteration=70, var_wn=0.374289 -fixed_point_iteration:Iteration=71, var_wn=0.373539 -fixed_point_iteration:Iteration=72, var_wn=0.372818 -fixed_point_iteration:Iteration=73, var_wn=0.372126 -fixed_point_iteration:Iteration=74, var_wn=0.37146 -fixed_point_iteration:Iteration=75, var_wn=0.37082 -fixed_point_iteration:Iteration=76, var_wn=0.370204 -fixed_point_iteration:Iteration=77, var_wn=0.369612 -fixed_point_iteration:Iteration=78, var_wn=0.369042 -fixed_point_iteration:Iteration=79, var_wn=0.368494 -fixed_point_iteration:Iteration=80, var_wn=0.367966 -fixed_point_iteration:Iteration=81, var_wn=0.367458 -fixed_point_iteration:Iteration=82, var_wn=0.366969 -fixed_point_iteration:Iteration=83, var_wn=0.366499 -fixed_point_iteration:Iteration=84, var_wn=0.366046 -fixed_point_iteration:Iteration=85, var_wn=0.36561 -fixed_point_iteration:Iteration=86, var_wn=0.365189 -fixed_point_iteration:Iteration=87, var_wn=0.364785 -fixed_point_iteration:Iteration=88, var_wn=0.364395 -fixed_point_iteration:Iteration=89, var_wn=0.364019 -fixed_point_iteration:Iteration=90, var_wn=0.363657 -fixed_point_iteration:Iteration=91, var_wn=0.363309 -fixed_point_iteration:Iteration=92, var_wn=0.362973 -fixed_point_iteration:Iteration=93, var_wn=0.362649 -fixed_point_iteration:Iteration=94, var_wn=0.362337 -fixed_point_iteration:Iteration=95, var_wn=0.362036 -fixed_point_iteration:Iteration=96, var_wn=0.361746 -fixed_point_iteration:Iteration=97, var_wn=0.361466 -fixed_point_iteration:Iteration=98, var_wn=0.361197 -fixed_point_iteration:Iteration=99, var_wn=0.360937 -fixed_point_iteration:Iteration=100, var_wn=0.360686 -fixed_point_iteration:Iteration=101, var_wn=0.360444 -fixed_point_iteration:Iteration=102, var_wn=0.360211 -fixed_point_iteration:Iteration=103, var_wn=0.359986 -fixed_point_iteration:Iteration=104, var_wn=0.359769 -fixed_point_iteration:Iteration=105, var_wn=0.35956 -fixed_point_iteration:Iteration=106, var_wn=0.359358 -fixed_point_iteration:Iteration=107, var_wn=0.359163 -fixed_point_iteration:Iteration=108, var_wn=0.358975 -fixed_point_iteration:Iteration=109, var_wn=0.358794 -fixed_point_iteration:Iteration=110, var_wn=0.358619 -fixed_point_iteration:Iteration=111, var_wn=0.35845 -fixed_point_iteration:Iteration=112, var_wn=0.358288 -fixed_point_iteration:Iteration=113, var_wn=0.35813 -fixed_point_iteration:Iteration=114, var_wn=0.357979 -fixed_point_iteration:Iteration=115, var_wn=0.357832 -fixed_point_iteration:Iteration=116, var_wn=0.357691 -fixed_point_iteration:Iteration=117, var_wn=0.357555 -fixed_point_iteration:Iteration=118, var_wn=0.357423 -fixed_point_iteration:Iteration=119, var_wn=0.357296 -fixed_point_iteration:Iteration=120, var_wn=0.357173 -fixed_point_iteration:Iteration=121, var_wn=0.357055 -fixed_point_iteration:Iteration=122, var_wn=0.356941 -fixed_point_iteration:Iteration=123, var_wn=0.356831 -fixed_point_iteration:Iteration=124, var_wn=0.356724 -fixed_point_iteration:Iteration=125, var_wn=0.356621 -fixed_point_iteration:Iteration=126, var_wn=0.356522 -fixed_point_iteration:Iteration=127, var_wn=0.356426 -fixed_point_iteration:Iteration=128, var_wn=0.356334 -fixed_point_iteration:Iteration=129, var_wn=0.356244 -fixed_point_iteration:Iteration=130, var_wn=0.356158 -fixed_point_iteration:Iteration=131, var_wn=0.356075 -fixed_point_iteration:Iteration=132, var_wn=0.355994 -fixed_point_iteration:Iteration=133, var_wn=0.355917 -fixed_point_iteration:Iteration=134, var_wn=0.355842 -fixed_point_iteration:Iteration=135, var_wn=0.355769 -fixed_point_iteration:Iteration=136, var_wn=0.355699 -fixed_point_iteration:Iteration=137, var_wn=0.355632 -fixed_point_iteration:Iteration=138, var_wn=0.355567 -fixed_point_iteration:Iteration=139, var_wn=0.355504 -fixed_point_iteration:Iteration=140, var_wn=0.355443 -fixed_point_iteration:Iteration=141, var_wn=0.355384 -fixed_point_iteration:Iteration=142, var_wn=0.355327 -fixed_point_iteration:Iteration=143, var_wn=0.355273 -fixed_point_iteration:Iteration=144, var_wn=0.35522 -fixed_point_iteration:Iteration=145, var_wn=0.355169 -fixed_point_iteration:Iteration=146, var_wn=0.355119 -fixed_point_iteration:Iteration=147, var_wn=0.355072 -fixed_point_iteration:Iteration=148, var_wn=0.355026 -fixed_point_iteration:Iteration=149, var_wn=0.354981 -fixed_point_iteration:Iteration=150, var_wn=0.354938 -fixed_point_iteration:Iteration=151, var_wn=0.354897 -fixed_point_iteration:Iteration=152, var_wn=0.354856 -fixed_point_iteration:Iteration=153, var_wn=0.354818 -fixed_point_iteration:Iteration=154, var_wn=0.35478 -fixed_point_iteration:Iteration=155, var_wn=0.354744 -fixed_point_iteration:Iteration=156, var_wn=0.354709 -fixed_point_iteration:Iteration=157, var_wn=0.354676 -fixed_point_iteration:Iteration=158, var_wn=0.354643 -fixed_point_iteration:Iteration=159, var_wn=0.354612 -fixed_point_iteration:Iteration=160, var_wn=0.354581 -fixed_point_iteration:Iteration=161, var_wn=0.354552 -fixed_point_iteration:Iteration=162, var_wn=0.354524 -fixed_point_iteration:Iteration=163, var_wn=0.354496 -fixed_point_iteration:Iteration=164, var_wn=0.35447 -fixed_point_iteration:Iteration=165, var_wn=0.354444 -fixed_point_iteration:Iteration=166, var_wn=0.35442 -fixed_point_iteration:Iteration=167, var_wn=0.354396 -fixed_point_iteration:Iteration=168, var_wn=0.354373 -fixed_point_iteration:Iteration=169, var_wn=0.35435 -fixed_point_iteration:Iteration=170, var_wn=0.354329 -fixed_point_iteration:Iteration=171, var_wn=0.354308 -fixed_point_iteration:Iteration=172, var_wn=0.354288 -fixed_point_iteration:Iteration=173, var_wn=0.354269 -fixed_point_iteration:Iteration=174, var_wn=0.35425 -fixed_point_iteration:Iteration=175, var_wn=0.354232 -fixed_point_iteration:Iteration=176, var_wn=0.354214 -fixed_point_iteration:Iteration=177, var_wn=0.354198 -fixed_point_iteration:Iteration=178, var_wn=0.354181 -fixed_point_iteration:Iteration=179, var_wn=0.354165 -fixed_point_iteration:Iteration=180, var_wn=0.35415 -fixed_point_iteration:Iteration=181, var_wn=0.354136 -fixed_point_iteration:Iteration=182, var_wn=0.354121 -fixed_point_iteration:Iteration=183, var_wn=0.354108 -fixed_point_iteration:Iteration=184, var_wn=0.354094 -fixed_point_iteration:Iteration=185, var_wn=0.354082 -fixed_point_iteration:Iteration=186, var_wn=0.354069 -fixed_point_iteration:Iteration=187, var_wn=0.354057 -fixed_point_iteration:Iteration=188, var_wn=0.354046 -fixed_point_iteration:Iteration=189, var_wn=0.354034 -fixed_point_iteration:Iteration=190, var_wn=0.354024 -fixed_point_iteration:Iteration=191, var_wn=0.354013 -fixed_point_iteration:Iteration=192, var_wn=0.354003 -fixed_point_iteration:Iteration=193, var_wn=0.353994 -WN variance = 0.353994 -Input file = /home/igankevich/workspace/phd-diss/config/standing_wave.arma -ACF grid size = (10,10,10) -ACF grid patch size = (0.277778,0.555556,0.555556) -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -AR order = (7,7,7) -Do least squares = 0 -ACF function = standing_wave -Model = AR -MA algorithm = fixed_point_iteration -Verification scheme = manual -ACF variance = 5 -WN variance = 0.00261323 -Zeta size = (193,33,33) -NaN: 29, -nan, 1.798e+36, -1.04284e+38, inf, -1.798e+36, -1.798e+36 -#+end_example * Введение **** Актуальность темы. @@ -1653,7 +1397,7 @@ source(file.path("R", "common.R")) arma.plot_ramp_up_interval(label="Интервал разгона") #+end_src -#+caption: Интевал разгона в начале оси \(OX\) реализации. +#+caption: Интервал разгона в начале оси \(OX\) реализации. #+label: fig-ramp-up-interval #+RESULTS: fig-ramp-up-interval [[file:build/ramp-up-interval-ru.pdf]] diff --git a/arma-thesis.org b/arma-thesis.org @@ -1,1216 +1,14 @@ -# Local Variables: -# org-latex-image-default-width nil -# org-latex-caption-above nil -# org-latex-hyperref-template "\\hypersetup{\n pdfauthor={%a},\n pdftitle={%t},\n pdfkeywords={%k},\n pdfsubject={%d},\n pdfcreator={%c},\n pdflang={%L},\n unicode={true}\n}\n\\setdefaultlanguage{%l}\n" -# org-export-latex-tables-hline "\\midrule" -# org-export-latex-tables-tstart "\\toprule" -# org-export-latex-tables-tend "\\bottomrule" -# eval: (add-to-list 'org-latex-classes '("gost" "\\documentclass{gost} [DEFAULT-PACKAGES] [PACKAGES] [EXTRA]" ("\\section{%s}" . "\\section*{%s}") ("\\subsection{%s}" . "\\subsection*{%s}") ("\\subsubsection{%s}" . "\\subsubsection*{%s}") ("\\paragraph{%s}" . "\\paragraph*{%s}") ("\\subparagraph{%s}" . "\\subparagraph*{%s}"))) -# End: - #+TITLE: High-performance sea wave simulation model for studying marine object behaviour #+AUTHOR: Ivan Gankevich #+DATE: St. Petersburg, 2017 #+LANGUAGE: en -#+LATEX_CLASS: gost -#+LATEX_CLASS_OPTIONS: [hidelinks,fontsize=14pt,paper=a4,pagesize,DIV=calc,noenddot] -#+LATEX_HEADER_EXTRA: \input{preamble} +#+SETUPFILE: setup.org #+LATEX_HEADER_EXTRA: \organization{Saint Petersburg State University} #+LATEX_HEADER_EXTRA: \manuscript{} #+LATEX_HEADER_EXTRA: \degree{thesis for candidate of sciences degree} #+LATEX_HEADER_EXTRA: \speciality{Speciality 05.13.18\\Mathematical modeling, numerical methods and programme complexes} #+LATEX_HEADER_EXTRA: \supervisor{Supervisor\\Alexander Degtyarev} #+LATEX_HEADER_EXTRA: \newcites{published}{Publications on the subject of thesis} -#+OPTIONS: todo:nil title:nil ':t H:5 -#+STARTUP: indent -#+PROPERTY: header-args:R :results graphics :exports results - -* Config :noexport: -** Produce data for Q-Q, ACF and velocity potential plots -#+begin_src sh :exports none :results verbatim -root=$(pwd) -for testname in \ - propagating_wave \ - standing_wave \ - plain_wave_linear_solver \ - plain_wave_high_amplitude_solver -do - wd=$root/build/$testname - rm -rf $wd - mkdir -p $wd - cd $wd - cp $root/config/mt.dat . - arma -c $root/config/$testname.arma 2>&1 -done -#+end_src - -#+RESULTS: -#+begin_example -Input file = /home/igankevich/workspace/arma-thesis/config/propagating_wave.arma -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = MA -Verification scheme = manual -MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration -ACF variance = 5 -fixed_point_iteration:Iteration=0, var_wn=2.70831 -fixed_point_iteration:Iteration=1, var_wn=1.93791 -fixed_point_iteration:Iteration=2, var_wn=1.54801 -fixed_point_iteration:Iteration=3, var_wn=1.31202 -fixed_point_iteration:Iteration=4, var_wn=1.15328 -fixed_point_iteration:Iteration=5, var_wn=1.0386 -fixed_point_iteration:Iteration=6, var_wn=0.951442 -fixed_point_iteration:Iteration=7, var_wn=0.882674 -fixed_point_iteration:Iteration=8, var_wn=0.82688 -fixed_point_iteration:Iteration=9, var_wn=0.780623 -fixed_point_iteration:Iteration=10, var_wn=0.74161 -fixed_point_iteration:Iteration=11, var_wn=0.708244 -fixed_point_iteration:Iteration=12, var_wn=0.679374 -fixed_point_iteration:Iteration=13, var_wn=0.654145 -fixed_point_iteration:Iteration=14, var_wn=0.63191 -fixed_point_iteration:Iteration=15, var_wn=0.612168 -fixed_point_iteration:Iteration=16, var_wn=0.594523 -fixed_point_iteration:Iteration=17, var_wn=0.578663 -fixed_point_iteration:Iteration=18, var_wn=0.564333 -fixed_point_iteration:Iteration=19, var_wn=0.551325 -fixed_point_iteration:Iteration=20, var_wn=0.539469 -fixed_point_iteration:Iteration=21, var_wn=0.528623 -fixed_point_iteration:Iteration=22, var_wn=0.518666 -fixed_point_iteration:Iteration=23, var_wn=0.509497 -fixed_point_iteration:Iteration=24, var_wn=0.50103 -fixed_point_iteration:Iteration=25, var_wn=0.493191 -fixed_point_iteration:Iteration=26, var_wn=0.485915 -fixed_point_iteration:Iteration=27, var_wn=0.479148 -fixed_point_iteration:Iteration=28, var_wn=0.472841 -fixed_point_iteration:Iteration=29, var_wn=0.466951 -fixed_point_iteration:Iteration=30, var_wn=0.461442 -fixed_point_iteration:Iteration=31, var_wn=0.456279 -fixed_point_iteration:Iteration=32, var_wn=0.451435 -fixed_point_iteration:Iteration=33, var_wn=0.446882 -fixed_point_iteration:Iteration=34, var_wn=0.442597 -fixed_point_iteration:Iteration=35, var_wn=0.43856 -fixed_point_iteration:Iteration=36, var_wn=0.434752 -fixed_point_iteration:Iteration=37, var_wn=0.431155 -fixed_point_iteration:Iteration=38, var_wn=0.427755 -fixed_point_iteration:Iteration=39, var_wn=0.424537 -fixed_point_iteration:Iteration=40, var_wn=0.42149 -fixed_point_iteration:Iteration=41, var_wn=0.4186 -fixed_point_iteration:Iteration=42, var_wn=0.415859 -fixed_point_iteration:Iteration=43, var_wn=0.413256 -fixed_point_iteration:Iteration=44, var_wn=0.410782 -fixed_point_iteration:Iteration=45, var_wn=0.408429 -fixed_point_iteration:Iteration=46, var_wn=0.406191 -fixed_point_iteration:Iteration=47, var_wn=0.404059 -fixed_point_iteration:Iteration=48, var_wn=0.402028 -fixed_point_iteration:Iteration=49, var_wn=0.400092 -fixed_point_iteration:Iteration=50, var_wn=0.398246 -fixed_point_iteration:Iteration=51, var_wn=0.396483 -fixed_point_iteration:Iteration=52, var_wn=0.3948 -fixed_point_iteration:Iteration=53, var_wn=0.393193 -fixed_point_iteration:Iteration=54, var_wn=0.391656 -fixed_point_iteration:Iteration=55, var_wn=0.390187 -fixed_point_iteration:Iteration=56, var_wn=0.388782 -fixed_point_iteration:Iteration=57, var_wn=0.387438 -fixed_point_iteration:Iteration=58, var_wn=0.386151 -fixed_point_iteration:Iteration=59, var_wn=0.384918 -fixed_point_iteration:Iteration=60, var_wn=0.383738 -fixed_point_iteration:Iteration=61, var_wn=0.382606 -fixed_point_iteration:Iteration=62, var_wn=0.381522 -fixed_point_iteration:Iteration=63, var_wn=0.380482 -fixed_point_iteration:Iteration=64, var_wn=0.379485 -fixed_point_iteration:Iteration=65, var_wn=0.378528 -fixed_point_iteration:Iteration=66, var_wn=0.37761 -fixed_point_iteration:Iteration=67, var_wn=0.376728 -fixed_point_iteration:Iteration=68, var_wn=0.375882 -fixed_point_iteration:Iteration=69, var_wn=0.37507 -fixed_point_iteration:Iteration=70, var_wn=0.374289 -fixed_point_iteration:Iteration=71, var_wn=0.373539 -fixed_point_iteration:Iteration=72, var_wn=0.372818 -fixed_point_iteration:Iteration=73, var_wn=0.372126 -fixed_point_iteration:Iteration=74, var_wn=0.37146 -fixed_point_iteration:Iteration=75, var_wn=0.370819 -fixed_point_iteration:Iteration=76, var_wn=0.370204 -fixed_point_iteration:Iteration=77, var_wn=0.369611 -fixed_point_iteration:Iteration=78, var_wn=0.369042 -fixed_point_iteration:Iteration=79, var_wn=0.368493 -fixed_point_iteration:Iteration=80, var_wn=0.367966 -fixed_point_iteration:Iteration=81, var_wn=0.367458 -fixed_point_iteration:Iteration=82, var_wn=0.366969 -fixed_point_iteration:Iteration=83, var_wn=0.366499 -fixed_point_iteration:Iteration=84, var_wn=0.366046 -fixed_point_iteration:Iteration=85, var_wn=0.365609 -fixed_point_iteration:Iteration=86, var_wn=0.365189 -fixed_point_iteration:Iteration=87, var_wn=0.364785 -fixed_point_iteration:Iteration=88, var_wn=0.364395 -fixed_point_iteration:Iteration=89, var_wn=0.364019 -fixed_point_iteration:Iteration=90, var_wn=0.363657 -fixed_point_iteration:Iteration=91, var_wn=0.363309 -fixed_point_iteration:Iteration=92, var_wn=0.362973 -fixed_point_iteration:Iteration=93, var_wn=0.362649 -fixed_point_iteration:Iteration=94, var_wn=0.362337 -fixed_point_iteration:Iteration=95, var_wn=0.362036 -fixed_point_iteration:Iteration=96, var_wn=0.361746 -fixed_point_iteration:Iteration=97, var_wn=0.361466 -fixed_point_iteration:Iteration=98, var_wn=0.361196 -fixed_point_iteration:Iteration=99, var_wn=0.360936 -fixed_point_iteration:Iteration=100, var_wn=0.360686 -fixed_point_iteration:Iteration=101, var_wn=0.360444 -fixed_point_iteration:Iteration=102, var_wn=0.360211 -fixed_point_iteration:Iteration=103, var_wn=0.359986 -fixed_point_iteration:Iteration=104, var_wn=0.359769 -fixed_point_iteration:Iteration=105, var_wn=0.35956 -fixed_point_iteration:Iteration=106, var_wn=0.359358 -fixed_point_iteration:Iteration=107, var_wn=0.359163 -fixed_point_iteration:Iteration=108, var_wn=0.358975 -fixed_point_iteration:Iteration=109, var_wn=0.358794 -fixed_point_iteration:Iteration=110, var_wn=0.358619 -fixed_point_iteration:Iteration=111, var_wn=0.35845 -fixed_point_iteration:Iteration=112, var_wn=0.358287 -fixed_point_iteration:Iteration=113, var_wn=0.35813 -fixed_point_iteration:Iteration=114, var_wn=0.357979 -fixed_point_iteration:Iteration=115, var_wn=0.357832 -fixed_point_iteration:Iteration=116, var_wn=0.357691 -fixed_point_iteration:Iteration=117, var_wn=0.357555 -fixed_point_iteration:Iteration=118, var_wn=0.357423 -fixed_point_iteration:Iteration=119, var_wn=0.357296 -fixed_point_iteration:Iteration=120, var_wn=0.357173 -fixed_point_iteration:Iteration=121, var_wn=0.357055 -fixed_point_iteration:Iteration=122, var_wn=0.356941 -fixed_point_iteration:Iteration=123, var_wn=0.35683 -fixed_point_iteration:Iteration=124, var_wn=0.356724 -fixed_point_iteration:Iteration=125, var_wn=0.356621 -fixed_point_iteration:Iteration=126, var_wn=0.356522 -fixed_point_iteration:Iteration=127, var_wn=0.356426 -fixed_point_iteration:Iteration=128, var_wn=0.356334 -fixed_point_iteration:Iteration=129, var_wn=0.356244 -fixed_point_iteration:Iteration=130, var_wn=0.356158 -fixed_point_iteration:Iteration=131, var_wn=0.356075 -fixed_point_iteration:Iteration=132, var_wn=0.355994 -fixed_point_iteration:Iteration=133, var_wn=0.355917 -fixed_point_iteration:Iteration=134, var_wn=0.355842 -fixed_point_iteration:Iteration=135, var_wn=0.355769 -fixed_point_iteration:Iteration=136, var_wn=0.355699 -fixed_point_iteration:Iteration=137, var_wn=0.355632 -fixed_point_iteration:Iteration=138, var_wn=0.355566 -fixed_point_iteration:Iteration=139, var_wn=0.355504 -fixed_point_iteration:Iteration=140, var_wn=0.355443 -fixed_point_iteration:Iteration=141, var_wn=0.355384 -fixed_point_iteration:Iteration=142, var_wn=0.355327 -fixed_point_iteration:Iteration=143, var_wn=0.355272 -fixed_point_iteration:Iteration=144, var_wn=0.35522 -fixed_point_iteration:Iteration=145, var_wn=0.355168 -fixed_point_iteration:Iteration=146, var_wn=0.355119 -fixed_point_iteration:Iteration=147, var_wn=0.355071 -fixed_point_iteration:Iteration=148, var_wn=0.355025 -fixed_point_iteration:Iteration=149, var_wn=0.354981 -fixed_point_iteration:Iteration=150, var_wn=0.354938 -fixed_point_iteration:Iteration=151, var_wn=0.354896 -fixed_point_iteration:Iteration=152, var_wn=0.354856 -fixed_point_iteration:Iteration=153, var_wn=0.354818 -fixed_point_iteration:Iteration=154, var_wn=0.35478 -fixed_point_iteration:Iteration=155, var_wn=0.354744 -fixed_point_iteration:Iteration=156, var_wn=0.354709 -fixed_point_iteration:Iteration=157, var_wn=0.354676 -fixed_point_iteration:Iteration=158, var_wn=0.354643 -fixed_point_iteration:Iteration=159, var_wn=0.354612 -fixed_point_iteration:Iteration=160, var_wn=0.354581 -fixed_point_iteration:Iteration=161, var_wn=0.354552 -fixed_point_iteration:Iteration=162, var_wn=0.354523 -fixed_point_iteration:Iteration=163, var_wn=0.354496 -fixed_point_iteration:Iteration=164, var_wn=0.35447 -fixed_point_iteration:Iteration=165, var_wn=0.354444 -fixed_point_iteration:Iteration=166, var_wn=0.354419 -fixed_point_iteration:Iteration=167, var_wn=0.354396 -fixed_point_iteration:Iteration=168, var_wn=0.354373 -fixed_point_iteration:Iteration=169, var_wn=0.35435 -fixed_point_iteration:Iteration=170, var_wn=0.354329 -fixed_point_iteration:Iteration=171, var_wn=0.354308 -fixed_point_iteration:Iteration=172, var_wn=0.354288 -fixed_point_iteration:Iteration=173, var_wn=0.354269 -fixed_point_iteration:Iteration=174, var_wn=0.35425 -fixed_point_iteration:Iteration=175, var_wn=0.354232 -fixed_point_iteration:Iteration=176, var_wn=0.354214 -fixed_point_iteration:Iteration=177, var_wn=0.354197 -fixed_point_iteration:Iteration=178, var_wn=0.354181 -fixed_point_iteration:Iteration=179, var_wn=0.354165 -fixed_point_iteration:Iteration=180, var_wn=0.35415 -fixed_point_iteration:Iteration=181, var_wn=0.354135 -fixed_point_iteration:Iteration=182, var_wn=0.354121 -fixed_point_iteration:Iteration=183, var_wn=0.354107 -fixed_point_iteration:Iteration=184, var_wn=0.354094 -fixed_point_iteration:Iteration=185, var_wn=0.354081 -fixed_point_iteration:Iteration=186, var_wn=0.354069 -fixed_point_iteration:Iteration=187, var_wn=0.354057 -fixed_point_iteration:Iteration=188, var_wn=0.354046 -fixed_point_iteration:Iteration=189, var_wn=0.354034 -fixed_point_iteration:Iteration=190, var_wn=0.354024 -fixed_point_iteration:Iteration=191, var_wn=0.354013 -fixed_point_iteration:Iteration=192, var_wn=0.354003 -fixed_point_iteration:Iteration=193, var_wn=0.353993 -WN variance = 0.353993 -Partition size = (34,13,13) -Finished part [1/96] -Finished part [2/96] -Finished part [3/96] -Finished part [4/96] -Finished part [5/96] -Finished part [6/96] -Finished part [7/96] -Finished part [8/96] -Finished part [9/96] -Finished part [10/96] -Finished part [11/96] -Finished part [12/96] -Finished part [13/96] -Finished part [14/96] -Finished part [15/96] -Finished part [16/96] -Finished part [17/96] -Finished part [18/96] -Finished part [19/96] -Finished part [20/96] -Finished part [21/96] -Finished part [22/96] -Finished part [23/96] -Finished part [24/96] -Finished part [25/96] -Finished part [26/96] -Finished part [27/96] -Finished part [28/96] -Finished part [29/96] -Finished part [30/96] -Finished part [31/96] -Finished part [32/96] -Finished part [33/96] -Finished part [34/96] -Finished part [35/96] -Finished part [36/96] -Finished part [37/96] -Finished part [38/96] -Finished part [39/96] -Finished part [40/96] -Finished part [41/96] -Finished part [42/96] -Finished part [43/96] -Finished part [44/96] -Finished part [45/96] -Finished part [46/96] -Finished part [47/96] -Finished part [48/96] -Finished part [49/96] -Finished part [50/96] -Finished part [51/96] -Finished part [52/96] -Finished part [53/96] -Finished part [54/96] -Finished part [55/96] -Finished part [56/96] -Finished part [57/96] -Finished part [58/96] -Finished part [59/96] -Finished part [60/96] -Finished part [61/96] -Finished part [62/96] -Finished part [63/96] -Finished part [64/96] -Finished part [65/96] -Finished part [66/96] -Finished part [67/96] -Finished part [68/96] -Finished part [69/96] -Finished part [70/96] -Finished part [71/96] -Finished part [72/96] -Finished part [73/96] -Finished part [74/96] -Finished part [75/96] -Finished part [76/96] -Finished part [77/96] -Finished part [78/96] -Finished part [79/96] -Finished part [80/96] -Finished part [81/96] -Finished part [82/96] -Finished part [83/96] -Finished part [84/96] -Finished part [85/96] -Finished part [86/96] -Finished part [87/96] -Finished part [88/96] -Finished part [89/96] -Finished part [90/96] -Finished part [91/96] -Finished part [92/96] -Finished part [93/96] -Finished part [94/96] -Finished part [95/96] -Finished part [96/96] -Input file = /home/igankevich/workspace/arma-thesis/config/standing_wave.arma -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = AR -Verification scheme = manual -AR model = order=(7,7,7),acf.shape=(10,10,10) -ACF variance = 5 -WN variance = 0.00259511 -Partition size = (21,10,10) -Finished part [1/160] -Finished part [2/160] -Finished part [3/160] -Finished part [4/160] -Finished part [5/160] -Finished part [6/160] -Finished part [7/160] -Finished part [8/160] -Finished part [9/160] -Finished part [10/160] -Finished part [11/160] -Finished part [12/160] -Finished part [13/160] -Finished part [14/160] -Finished part [15/160] -Finished part [16/160] -Finished part [17/160] -Finished part [18/160] -Finished part [19/160] -Finished part [20/160] -Finished part [21/160] -Finished part [22/160] -Finished part [23/160] -Finished part [24/160] -Finished part [25/160] -Finished part [26/160] -Finished part [27/160] -Finished part [28/160] -Finished part [29/160] -Finished part [30/160] -Finished part [31/160] -Finished part [32/160] -Finished part [33/160] -Finished part [34/160] -Finished part [35/160] -Finished part [36/160] -Finished part [37/160] -Finished part [38/160] -Finished part [39/160] -Finished part [40/160] -Finished part [41/160] -Finished part [42/160] -Finished part [43/160] -Finished part [44/160] -Finished part [45/160] -Finished part [46/160] -Finished part [47/160] -Finished part [48/160] -Finished part [49/160] -Finished part [50/160] -Finished part [51/160] -Finished part [52/160] -Finished part [53/160] -Finished part [54/160] -Finished part [55/160] -Finished part [56/160] -Finished part [57/160] -Finished part [58/160] -Finished part [59/160] -Finished part [60/160] -Finished part [61/160] -Finished part [62/160] -Finished part [63/160] -Finished part [64/160] -Finished part [65/160] -Finished part [66/160] -Finished part [67/160] -Finished part [68/160] -Finished part [69/160] -Finished part [70/160] -Finished part [71/160] -Finished part [72/160] -Finished part [73/160] -Finished part [74/160] -Finished part [75/160] -Finished part [76/160] -Finished part [77/160] -Finished part [78/160] -Finished part [79/160] -Finished part [80/160] -Finished part [81/160] -Finished part [82/160] -Finished part [83/160] -Finished part [84/160] -Finished part [85/160] -Finished part [86/160] -Finished part [87/160] -Finished part [88/160] -Finished part [89/160] -Finished part [90/160] -Finished part [91/160] -Finished part [92/160] -Finished part [93/160] -Finished part [94/160] -Finished part [95/160] -Finished part [96/160] -Finished part [97/160] -Finished part [98/160] -Finished part [99/160] -Finished part [100/160] -Finished part [101/160] -Finished part [102/160] -Finished part [103/160] -Finished part [104/160] -Finished part [105/160] -Finished part [106/160] -Finished part [107/160] -Finished part [108/160] -Finished part [109/160] -Finished part [110/160] -Finished part [111/160] -Finished part [112/160] -Finished part [113/160] -Finished part [114/160] -Finished part [115/160] -Finished part [116/160] -Finished part [117/160] -Finished part [118/160] -Finished part [119/160] -Finished part [120/160] -Finished part [121/160] -Finished part [122/160] -Finished part [123/160] -Finished part [124/160] -Finished part [125/160] -Finished part [126/160] -Finished part [127/160] -Finished part [128/160] -Finished part [129/160] -Finished part [130/160] -Finished part [131/160] -Finished part [132/160] -Finished part [133/160] -Finished part [134/160] -Finished part [135/160] -Finished part [136/160] -Finished part [137/160] -Finished part [138/160] -Finished part [139/160] -Finished part [140/160] -Finished part [141/160] -Finished part [142/160] -Finished part [143/160] -Finished part [144/160] -Finished part [145/160] -Finished part [146/160] -Finished part [147/160] -Finished part [148/160] -Finished part [149/160] -Finished part [150/160] -Finished part [151/160] -Finished part [152/160] -Finished part [153/160] -Finished part [154/160] -Finished part [155/160] -Finished part [156/160] -Finished part [157/160] -Finished part [158/160] -Finished part [159/160] -Finished part [160/160] -Zeta size = (192,32,32) -Input file = /home/igankevich/workspace/arma-thesis/config/plain_wave_linear_solver.arma -Output grid size = (200,128,40) -Output grid patch size = (1,0.0629921,0.205128) -Model = plain_wave -Verification scheme = manual -Plain wave model = func=cos,amplitudes=[4],wavenumbers=[0.125],phases=[0],velocities=[0.5] -Velocity potential solver name = N4arma8velocity13Linear_solverIdEE -Velocity potential solver = wnmax=(0,0.25),depth=12,domain=from (10,-12) to (10,4) npoints (1,128) -Input file = /home/igankevich/workspace/arma-thesis/config/plain_wave_high_amplitude_solver.arma -Output grid size = (200,128,40) -Output grid patch size = (1,0.0629921,0.205128) -Model = plain_wave -Verification scheme = manual -Plain wave model = func=cos,amplitudes=[4],wavenumbers=[0.125],phases=[0],velocities=[0.5] -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=(0,0.25),depth=12,domain=from (10,-12) to (10,4) npoints (1,128) -#+end_example -** Produce NIT plots -#+begin_src sh :exports none :results verbatim -root=$(pwd) - -function generate_surface() { - none=$1 - gcs=$2 - sn=$3 - testcase=$4 - - wd=$root/build/$testcase - rm -rf $wd - mkdir -p $wd - cd $wd - cp $root/config/mt.dat . - - # run linear case - arma -c $root/config/$none 2>&1 - cp -v zeta.csv zeta-none.csv - - # run Gram---Charlier case - arma -c $root/config/$gcs 2>&1 - cp -v zeta.csv zeta-gramcharlier.csv - - # run skew normal case - arma -c $root/config/$sn 2>&1 - cp -v zeta.csv zeta-skewnormal.csv -} - -echo "NIT for propagating waves" -generate_surface \ - nit-propagating-none \ - nit-propagating-gramcharlier \ - nit-propagating-skewnormal \ - nit-propagating - -echo "NIT for standing waves" -generate_surface \ - nit-standing-none \ - nit-standing-gramcharlier \ - nit-standing-skewnormal \ - nit-standing -#+end_src - -#+RESULTS: -#+begin_example -NIT for propagating waves -Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-none -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = MA -Verification scheme = manual -MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = none -ACF variance = 1 -fixed_point_iteration:Iteration=0, var_wn=0.541662 -fixed_point_iteration:Iteration=1, var_wn=0.387581 -fixed_point_iteration:Iteration=2, var_wn=0.309602 -fixed_point_iteration:Iteration=3, var_wn=0.262404 -fixed_point_iteration:Iteration=4, var_wn=0.230656 -fixed_point_iteration:Iteration=5, var_wn=0.207721 -fixed_point_iteration:Iteration=6, var_wn=0.190288 -fixed_point_iteration:Iteration=7, var_wn=0.176535 -fixed_point_iteration:Iteration=8, var_wn=0.165376 -fixed_point_iteration:Iteration=9, var_wn=0.156125 -fixed_point_iteration:Iteration=10, var_wn=0.148322 -fixed_point_iteration:Iteration=11, var_wn=0.141649 -fixed_point_iteration:Iteration=12, var_wn=0.135875 -fixed_point_iteration:Iteration=13, var_wn=0.130829 -fixed_point_iteration:Iteration=14, var_wn=0.126382 -fixed_point_iteration:Iteration=15, var_wn=0.122434 -fixed_point_iteration:Iteration=16, var_wn=0.118905 -fixed_point_iteration:Iteration=17, var_wn=0.115733 -fixed_point_iteration:Iteration=18, var_wn=0.112867 -fixed_point_iteration:Iteration=19, var_wn=0.110265 -fixed_point_iteration:Iteration=20, var_wn=0.107894 -fixed_point_iteration:Iteration=21, var_wn=0.105725 -fixed_point_iteration:Iteration=22, var_wn=0.103733 -fixed_point_iteration:Iteration=23, var_wn=0.101899 -fixed_point_iteration:Iteration=24, var_wn=0.100206 -fixed_point_iteration:Iteration=25, var_wn=0.0986382 -fixed_point_iteration:Iteration=26, var_wn=0.0971831 -fixed_point_iteration:Iteration=27, var_wn=0.0958297 -fixed_point_iteration:Iteration=28, var_wn=0.0945682 -fixed_point_iteration:Iteration=29, var_wn=0.0933903 -fixed_point_iteration:Iteration=30, var_wn=0.0922883 -fixed_point_iteration:Iteration=31, var_wn=0.0912558 -fixed_point_iteration:Iteration=32, var_wn=0.0902869 -fixed_point_iteration:Iteration=33, var_wn=0.0893763 -fixed_point_iteration:Iteration=34, var_wn=0.0885194 -fixed_point_iteration:Iteration=35, var_wn=0.087712 -fixed_point_iteration:Iteration=36, var_wn=0.0869503 -fixed_point_iteration:Iteration=37, var_wn=0.086231 -fixed_point_iteration:Iteration=38, var_wn=0.085551 -fixed_point_iteration:Iteration=39, var_wn=0.0849075 -fixed_point_iteration:Iteration=40, var_wn=0.0842979 -fixed_point_iteration:Iteration=41, var_wn=0.0837201 -fixed_point_iteration:Iteration=42, var_wn=0.0831718 -fixed_point_iteration:Iteration=43, var_wn=0.0826511 -fixed_point_iteration:Iteration=44, var_wn=0.0821564 -fixed_point_iteration:Iteration=45, var_wn=0.0816859 -fixed_point_iteration:Iteration=46, var_wn=0.0812382 -fixed_point_iteration:Iteration=47, var_wn=0.0808119 -fixed_point_iteration:Iteration=48, var_wn=0.0804057 -fixed_point_iteration:Iteration=49, var_wn=0.0800185 -fixed_point_iteration:Iteration=50, var_wn=0.0796491 -fixed_point_iteration:Iteration=51, var_wn=0.0792966 -fixed_point_iteration:Iteration=52, var_wn=0.07896 -fixed_point_iteration:Iteration=53, var_wn=0.0786385 -fixed_point_iteration:Iteration=54, var_wn=0.0783313 -fixed_point_iteration:Iteration=55, var_wn=0.0780375 -fixed_point_iteration:Iteration=56, var_wn=0.0777565 -fixed_point_iteration:Iteration=57, var_wn=0.0774875 -fixed_point_iteration:Iteration=58, var_wn=0.0772301 -fixed_point_iteration:Iteration=59, var_wn=0.0769836 -fixed_point_iteration:Iteration=60, var_wn=0.0767475 -fixed_point_iteration:Iteration=61, var_wn=0.0765213 -fixed_point_iteration:Iteration=62, var_wn=0.0763044 -fixed_point_iteration:Iteration=63, var_wn=0.0760964 -fixed_point_iteration:Iteration=64, var_wn=0.0758969 -fixed_point_iteration:Iteration=65, var_wn=0.0757056 -fixed_point_iteration:Iteration=66, var_wn=0.075522 -fixed_point_iteration:Iteration=67, var_wn=0.0753457 -fixed_point_iteration:Iteration=68, var_wn=0.0751764 -fixed_point_iteration:Iteration=69, var_wn=0.0750139 -fixed_point_iteration:Iteration=70, var_wn=0.0748578 -fixed_point_iteration:Iteration=71, var_wn=0.0747078 -fixed_point_iteration:Iteration=72, var_wn=0.0745637 -fixed_point_iteration:Iteration=73, var_wn=0.0744251 -fixed_point_iteration:Iteration=74, var_wn=0.0742919 -fixed_point_iteration:Iteration=75, var_wn=0.0741639 -fixed_point_iteration:Iteration=76, var_wn=0.0740407 -fixed_point_iteration:Iteration=77, var_wn=0.0739223 -fixed_point_iteration:Iteration=78, var_wn=0.0738083 -fixed_point_iteration:Iteration=79, var_wn=0.0736987 -fixed_point_iteration:Iteration=80, var_wn=0.0735932 -fixed_point_iteration:Iteration=81, var_wn=0.0734916 -fixed_point_iteration:Iteration=82, var_wn=0.0733939 -fixed_point_iteration:Iteration=83, var_wn=0.0732998 -fixed_point_iteration:Iteration=84, var_wn=0.0732091 -fixed_point_iteration:Iteration=85, var_wn=0.0731219 -fixed_point_iteration:Iteration=86, var_wn=0.0730379 -fixed_point_iteration:Iteration=87, var_wn=0.0729569 -fixed_point_iteration:Iteration=88, var_wn=0.072879 -fixed_point_iteration:Iteration=89, var_wn=0.0728038 -fixed_point_iteration:Iteration=90, var_wn=0.0727315 -fixed_point_iteration:Iteration=91, var_wn=0.0726617 -fixed_point_iteration:Iteration=92, var_wn=0.0725945 -fixed_point_iteration:Iteration=93, var_wn=0.0725298 -fixed_point_iteration:Iteration=94, var_wn=0.0724673 -fixed_point_iteration:Iteration=95, var_wn=0.0724072 -fixed_point_iteration:Iteration=96, var_wn=0.0723491 -fixed_point_iteration:Iteration=97, var_wn=0.0722932 -fixed_point_iteration:Iteration=98, var_wn=0.0722393 -fixed_point_iteration:Iteration=99, var_wn=0.0721873 -fixed_point_iteration:Iteration=100, var_wn=0.0721372 -fixed_point_iteration:Iteration=101, var_wn=0.0720888 -fixed_point_iteration:Iteration=102, var_wn=0.0720422 -fixed_point_iteration:Iteration=103, var_wn=0.0719972 -fixed_point_iteration:Iteration=104, var_wn=0.0719538 -fixed_point_iteration:Iteration=105, var_wn=0.0719119 -fixed_point_iteration:Iteration=106, var_wn=0.0718716 -fixed_point_iteration:Iteration=107, var_wn=0.0718326 -fixed_point_iteration:Iteration=108, var_wn=0.0717951 -fixed_point_iteration:Iteration=109, var_wn=0.0717588 -fixed_point_iteration:Iteration=110, var_wn=0.0717238 -fixed_point_iteration:Iteration=111, var_wn=0.0716901 -fixed_point_iteration:Iteration=112, var_wn=0.0716575 -fixed_point_iteration:Iteration=113, var_wn=0.0716261 -fixed_point_iteration:Iteration=114, var_wn=0.0715957 -fixed_point_iteration:Iteration=115, var_wn=0.0715664 -fixed_point_iteration:Iteration=116, var_wn=0.0715382 -fixed_point_iteration:Iteration=117, var_wn=0.0715109 -fixed_point_iteration:Iteration=118, var_wn=0.0714846 -fixed_point_iteration:Iteration=119, var_wn=0.0714592 -fixed_point_iteration:Iteration=120, var_wn=0.0714347 -fixed_point_iteration:Iteration=121, var_wn=0.071411 -fixed_point_iteration:Iteration=122, var_wn=0.0713881 -fixed_point_iteration:Iteration=123, var_wn=0.0713661 -fixed_point_iteration:Iteration=124, var_wn=0.0713448 -fixed_point_iteration:Iteration=125, var_wn=0.0713242 -fixed_point_iteration:Iteration=126, var_wn=0.0713044 -fixed_point_iteration:Iteration=127, var_wn=0.0712852 -fixed_point_iteration:Iteration=128, var_wn=0.0712667 -fixed_point_iteration:Iteration=129, var_wn=0.0712488 -fixed_point_iteration:Iteration=130, var_wn=0.0712316 -fixed_point_iteration:Iteration=131, var_wn=0.0712149 -fixed_point_iteration:Iteration=132, var_wn=0.0711988 -fixed_point_iteration:Iteration=133, var_wn=0.0711833 -fixed_point_iteration:Iteration=134, var_wn=0.0711683 -fixed_point_iteration:Iteration=135, var_wn=0.0711538 -fixed_point_iteration:Iteration=136, var_wn=0.0711398 -fixed_point_iteration:Iteration=137, var_wn=0.0711263 -fixed_point_iteration:Iteration=138, var_wn=0.0711133 -fixed_point_iteration:Iteration=139, var_wn=0.0711007 -fixed_point_iteration:Iteration=140, var_wn=0.0710885 -fixed_point_iteration:Iteration=141, var_wn=0.0710768 -fixed_point_iteration:Iteration=142, var_wn=0.0710654 -fixed_point_iteration:Iteration=143, var_wn=0.0710545 -fixed_point_iteration:Iteration=144, var_wn=0.0710439 -fixed_point_iteration:Iteration=145, var_wn=0.0710337 -fixed_point_iteration:Iteration=146, var_wn=0.0710238 -WN variance = 0.0710238 -Partition size = (34,13,13) - Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] -'zeta.csv' -> 'zeta-none.csv' -Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-gramcharlier -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = MA -Verification scheme = manual -MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = dist=gram_charlier,skewness=2.25,kurtosis=0.4,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 -err = 0.999006 -err = 0.171001 -err = 0.25565 -err = 0.275353 -err = 6.34477e+26 -err = 7.61373e+26 -err = 4.86898e+32 -err = 4.86898e+32 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03444e+34 -err = 7.03447e+34 -err = 7.03447e+34 -err = 7.03807e+34 -err = 7.03808e+34 -err = 7.26744e+34 -trim = 2 -ACF variance = 1 -fixed_point_iteration:Iteration=0, var_wn=0.541662 -fixed_point_iteration:Iteration=1, var_wn=0.387581 -fixed_point_iteration:Iteration=2, var_wn=0.309602 -fixed_point_iteration:Iteration=3, var_wn=0.262404 -fixed_point_iteration:Iteration=4, var_wn=0.230656 -fixed_point_iteration:Iteration=5, var_wn=0.207721 -fixed_point_iteration:Iteration=6, var_wn=0.190288 -fixed_point_iteration:Iteration=7, var_wn=0.176535 -fixed_point_iteration:Iteration=8, var_wn=0.165376 -fixed_point_iteration:Iteration=9, var_wn=0.156125 -fixed_point_iteration:Iteration=10, var_wn=0.148322 -fixed_point_iteration:Iteration=11, var_wn=0.141649 -fixed_point_iteration:Iteration=12, var_wn=0.135875 -fixed_point_iteration:Iteration=13, var_wn=0.130829 -fixed_point_iteration:Iteration=14, var_wn=0.126382 -fixed_point_iteration:Iteration=15, var_wn=0.122434 -fixed_point_iteration:Iteration=16, var_wn=0.118905 -fixed_point_iteration:Iteration=17, var_wn=0.115733 -fixed_point_iteration:Iteration=18, var_wn=0.112867 -fixed_point_iteration:Iteration=19, var_wn=0.110265 -fixed_point_iteration:Iteration=20, var_wn=0.107894 -fixed_point_iteration:Iteration=21, var_wn=0.105725 -fixed_point_iteration:Iteration=22, var_wn=0.103733 -fixed_point_iteration:Iteration=23, var_wn=0.101899 -fixed_point_iteration:Iteration=24, var_wn=0.100206 -fixed_point_iteration:Iteration=25, var_wn=0.0986382 -fixed_point_iteration:Iteration=26, var_wn=0.0971831 -fixed_point_iteration:Iteration=27, var_wn=0.0958297 -fixed_point_iteration:Iteration=28, var_wn=0.0945682 -fixed_point_iteration:Iteration=29, var_wn=0.0933903 -fixed_point_iteration:Iteration=30, var_wn=0.0922883 -fixed_point_iteration:Iteration=31, var_wn=0.0912558 -fixed_point_iteration:Iteration=32, var_wn=0.0902869 -fixed_point_iteration:Iteration=33, var_wn=0.0893763 -fixed_point_iteration:Iteration=34, var_wn=0.0885194 -fixed_point_iteration:Iteration=35, var_wn=0.087712 -fixed_point_iteration:Iteration=36, var_wn=0.0869503 -fixed_point_iteration:Iteration=37, var_wn=0.086231 -fixed_point_iteration:Iteration=38, var_wn=0.085551 -fixed_point_iteration:Iteration=39, var_wn=0.0849075 -fixed_point_iteration:Iteration=40, var_wn=0.0842979 -fixed_point_iteration:Iteration=41, var_wn=0.0837201 -fixed_point_iteration:Iteration=42, var_wn=0.0831718 -fixed_point_iteration:Iteration=43, var_wn=0.0826511 -fixed_point_iteration:Iteration=44, var_wn=0.0821564 -fixed_point_iteration:Iteration=45, var_wn=0.0816859 -fixed_point_iteration:Iteration=46, var_wn=0.0812382 -fixed_point_iteration:Iteration=47, var_wn=0.0808119 -fixed_point_iteration:Iteration=48, var_wn=0.0804057 -fixed_point_iteration:Iteration=49, var_wn=0.0800185 -fixed_point_iteration:Iteration=50, var_wn=0.0796491 -fixed_point_iteration:Iteration=51, var_wn=0.0792966 -fixed_point_iteration:Iteration=52, var_wn=0.07896 -fixed_point_iteration:Iteration=53, var_wn=0.0786385 -fixed_point_iteration:Iteration=54, var_wn=0.0783313 -fixed_point_iteration:Iteration=55, var_wn=0.0780375 -fixed_point_iteration:Iteration=56, var_wn=0.0777565 -fixed_point_iteration:Iteration=57, var_wn=0.0774875 -fixed_point_iteration:Iteration=58, var_wn=0.0772301 -fixed_point_iteration:Iteration=59, var_wn=0.0769836 -fixed_point_iteration:Iteration=60, var_wn=0.0767475 -fixed_point_iteration:Iteration=61, var_wn=0.0765213 -fixed_point_iteration:Iteration=62, var_wn=0.0763044 -fixed_point_iteration:Iteration=63, var_wn=0.0760964 -fixed_point_iteration:Iteration=64, var_wn=0.0758969 -fixed_point_iteration:Iteration=65, var_wn=0.0757056 -fixed_point_iteration:Iteration=66, var_wn=0.075522 -fixed_point_iteration:Iteration=67, var_wn=0.0753457 -fixed_point_iteration:Iteration=68, var_wn=0.0751764 -fixed_point_iteration:Iteration=69, var_wn=0.0750139 -fixed_point_iteration:Iteration=70, var_wn=0.0748578 -fixed_point_iteration:Iteration=71, var_wn=0.0747078 -fixed_point_iteration:Iteration=72, var_wn=0.0745637 -fixed_point_iteration:Iteration=73, var_wn=0.0744251 -fixed_point_iteration:Iteration=74, var_wn=0.0742919 -fixed_point_iteration:Iteration=75, var_wn=0.0741639 -fixed_point_iteration:Iteration=76, var_wn=0.0740407 -fixed_point_iteration:Iteration=77, var_wn=0.0739223 -fixed_point_iteration:Iteration=78, var_wn=0.0738083 -fixed_point_iteration:Iteration=79, var_wn=0.0736987 -fixed_point_iteration:Iteration=80, var_wn=0.0735932 -fixed_point_iteration:Iteration=81, var_wn=0.0734916 -fixed_point_iteration:Iteration=82, var_wn=0.0733939 -fixed_point_iteration:Iteration=83, var_wn=0.0732998 -fixed_point_iteration:Iteration=84, var_wn=0.0732091 -fixed_point_iteration:Iteration=85, var_wn=0.0731219 -fixed_point_iteration:Iteration=86, var_wn=0.0730379 -fixed_point_iteration:Iteration=87, var_wn=0.0729569 -fixed_point_iteration:Iteration=88, var_wn=0.072879 -fixed_point_iteration:Iteration=89, var_wn=0.0728038 -fixed_point_iteration:Iteration=90, var_wn=0.0727315 -fixed_point_iteration:Iteration=91, var_wn=0.0726617 -fixed_point_iteration:Iteration=92, var_wn=0.0725945 -fixed_point_iteration:Iteration=93, var_wn=0.0725298 -fixed_point_iteration:Iteration=94, var_wn=0.0724673 -fixed_point_iteration:Iteration=95, var_wn=0.0724072 -fixed_point_iteration:Iteration=96, var_wn=0.0723491 -fixed_point_iteration:Iteration=97, var_wn=0.0722932 -fixed_point_iteration:Iteration=98, var_wn=0.0722393 -fixed_point_iteration:Iteration=99, var_wn=0.0721873 -fixed_point_iteration:Iteration=100, var_wn=0.0721372 -fixed_point_iteration:Iteration=101, var_wn=0.0720888 -fixed_point_iteration:Iteration=102, var_wn=0.0720422 -fixed_point_iteration:Iteration=103, var_wn=0.0719972 -fixed_point_iteration:Iteration=104, var_wn=0.0719538 -fixed_point_iteration:Iteration=105, var_wn=0.0719119 -fixed_point_iteration:Iteration=106, var_wn=0.0718716 -fixed_point_iteration:Iteration=107, var_wn=0.0718326 -fixed_point_iteration:Iteration=108, var_wn=0.0717951 -fixed_point_iteration:Iteration=109, var_wn=0.0717588 -fixed_point_iteration:Iteration=110, var_wn=0.0717238 -fixed_point_iteration:Iteration=111, var_wn=0.0716901 -fixed_point_iteration:Iteration=112, var_wn=0.0716575 -fixed_point_iteration:Iteration=113, var_wn=0.0716261 -fixed_point_iteration:Iteration=114, var_wn=0.0715957 -fixed_point_iteration:Iteration=115, var_wn=0.0715664 -fixed_point_iteration:Iteration=116, var_wn=0.0715382 -fixed_point_iteration:Iteration=117, var_wn=0.0715109 -fixed_point_iteration:Iteration=118, var_wn=0.0714846 -fixed_point_iteration:Iteration=119, var_wn=0.0714592 -fixed_point_iteration:Iteration=120, var_wn=0.0714347 -fixed_point_iteration:Iteration=121, var_wn=0.071411 -fixed_point_iteration:Iteration=122, var_wn=0.0713881 -fixed_point_iteration:Iteration=123, var_wn=0.0713661 -fixed_point_iteration:Iteration=124, var_wn=0.0713448 -fixed_point_iteration:Iteration=125, var_wn=0.0713242 -fixed_point_iteration:Iteration=126, var_wn=0.0713044 -fixed_point_iteration:Iteration=127, var_wn=0.0712852 -fixed_point_iteration:Iteration=128, var_wn=0.0712667 -fixed_point_iteration:Iteration=129, var_wn=0.0712488 -fixed_point_iteration:Iteration=130, var_wn=0.0712316 -fixed_point_iteration:Iteration=131, var_wn=0.0712149 -fixed_point_iteration:Iteration=132, var_wn=0.0711988 -fixed_point_iteration:Iteration=133, var_wn=0.0711833 -fixed_point_iteration:Iteration=134, var_wn=0.0711683 -fixed_point_iteration:Iteration=135, var_wn=0.0711538 -fixed_point_iteration:Iteration=136, var_wn=0.0711398 -fixed_point_iteration:Iteration=137, var_wn=0.0711263 -fixed_point_iteration:Iteration=138, var_wn=0.0711133 -fixed_point_iteration:Iteration=139, var_wn=0.0711007 -fixed_point_iteration:Iteration=140, var_wn=0.0710885 -fixed_point_iteration:Iteration=141, var_wn=0.0710768 -fixed_point_iteration:Iteration=142, var_wn=0.0710654 -fixed_point_iteration:Iteration=143, var_wn=0.0710545 -fixed_point_iteration:Iteration=144, var_wn=0.0710439 -fixed_point_iteration:Iteration=145, var_wn=0.0710337 -fixed_point_iteration:Iteration=146, var_wn=0.0710238 -WN variance = 0.0710238 -Partition size = (34,13,13) - Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] -'zeta.csv' -> 'zeta-gramcharlier.csv' -Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-skewnormal -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = MA -Verification scheme = manual -MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = dist=skew_normal,mean=0,stdev=1,alpha=1,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -err = inf -trim = 0 -ACF variance = 1 -fixed_point_iteration:Iteration=0, var_wn=0.541662 -fixed_point_iteration:Iteration=1, var_wn=0.387581 -fixed_point_iteration:Iteration=2, var_wn=0.309602 -fixed_point_iteration:Iteration=3, var_wn=0.262404 -fixed_point_iteration:Iteration=4, var_wn=0.230656 -fixed_point_iteration:Iteration=5, var_wn=0.207721 -fixed_point_iteration:Iteration=6, var_wn=0.190288 -fixed_point_iteration:Iteration=7, var_wn=0.176535 -fixed_point_iteration:Iteration=8, var_wn=0.165376 -fixed_point_iteration:Iteration=9, var_wn=0.156125 -fixed_point_iteration:Iteration=10, var_wn=0.148322 -fixed_point_iteration:Iteration=11, var_wn=0.141649 -fixed_point_iteration:Iteration=12, var_wn=0.135875 -fixed_point_iteration:Iteration=13, var_wn=0.130829 -fixed_point_iteration:Iteration=14, var_wn=0.126382 -fixed_point_iteration:Iteration=15, var_wn=0.122434 -fixed_point_iteration:Iteration=16, var_wn=0.118905 -fixed_point_iteration:Iteration=17, var_wn=0.115733 -fixed_point_iteration:Iteration=18, var_wn=0.112867 -fixed_point_iteration:Iteration=19, var_wn=0.110265 -fixed_point_iteration:Iteration=20, var_wn=0.107894 -fixed_point_iteration:Iteration=21, var_wn=0.105725 -fixed_point_iteration:Iteration=22, var_wn=0.103733 -fixed_point_iteration:Iteration=23, var_wn=0.101899 -fixed_point_iteration:Iteration=24, var_wn=0.100206 -fixed_point_iteration:Iteration=25, var_wn=0.0986382 -fixed_point_iteration:Iteration=26, var_wn=0.0971831 -fixed_point_iteration:Iteration=27, var_wn=0.0958297 -fixed_point_iteration:Iteration=28, var_wn=0.0945682 -fixed_point_iteration:Iteration=29, var_wn=0.0933903 -fixed_point_iteration:Iteration=30, var_wn=0.0922883 -fixed_point_iteration:Iteration=31, var_wn=0.0912558 -fixed_point_iteration:Iteration=32, var_wn=0.0902869 -fixed_point_iteration:Iteration=33, var_wn=0.0893763 -fixed_point_iteration:Iteration=34, var_wn=0.0885194 -fixed_point_iteration:Iteration=35, var_wn=0.087712 -fixed_point_iteration:Iteration=36, var_wn=0.0869503 -fixed_point_iteration:Iteration=37, var_wn=0.086231 -fixed_point_iteration:Iteration=38, var_wn=0.085551 -fixed_point_iteration:Iteration=39, var_wn=0.0849075 -fixed_point_iteration:Iteration=40, var_wn=0.0842979 -fixed_point_iteration:Iteration=41, var_wn=0.0837201 -fixed_point_iteration:Iteration=42, var_wn=0.0831718 -fixed_point_iteration:Iteration=43, var_wn=0.0826511 -fixed_point_iteration:Iteration=44, var_wn=0.0821564 -fixed_point_iteration:Iteration=45, var_wn=0.0816859 -fixed_point_iteration:Iteration=46, var_wn=0.0812382 -fixed_point_iteration:Iteration=47, var_wn=0.0808119 -fixed_point_iteration:Iteration=48, var_wn=0.0804057 -fixed_point_iteration:Iteration=49, var_wn=0.0800185 -fixed_point_iteration:Iteration=50, var_wn=0.0796491 -fixed_point_iteration:Iteration=51, var_wn=0.0792966 -fixed_point_iteration:Iteration=52, var_wn=0.07896 -fixed_point_iteration:Iteration=53, var_wn=0.0786385 -fixed_point_iteration:Iteration=54, var_wn=0.0783313 -fixed_point_iteration:Iteration=55, var_wn=0.0780375 -fixed_point_iteration:Iteration=56, var_wn=0.0777565 -fixed_point_iteration:Iteration=57, var_wn=0.0774875 -fixed_point_iteration:Iteration=58, var_wn=0.0772301 -fixed_point_iteration:Iteration=59, var_wn=0.0769836 -fixed_point_iteration:Iteration=60, var_wn=0.0767475 -fixed_point_iteration:Iteration=61, var_wn=0.0765213 -fixed_point_iteration:Iteration=62, var_wn=0.0763044 -fixed_point_iteration:Iteration=63, var_wn=0.0760964 -fixed_point_iteration:Iteration=64, var_wn=0.0758969 -fixed_point_iteration:Iteration=65, var_wn=0.0757056 -fixed_point_iteration:Iteration=66, var_wn=0.075522 -fixed_point_iteration:Iteration=67, var_wn=0.0753457 -fixed_point_iteration:Iteration=68, var_wn=0.0751764 -fixed_point_iteration:Iteration=69, var_wn=0.0750139 -fixed_point_iteration:Iteration=70, var_wn=0.0748578 -fixed_point_iteration:Iteration=71, var_wn=0.0747078 -fixed_point_iteration:Iteration=72, var_wn=0.0745637 -fixed_point_iteration:Iteration=73, var_wn=0.0744251 -fixed_point_iteration:Iteration=74, var_wn=0.0742919 -fixed_point_iteration:Iteration=75, var_wn=0.0741639 -fixed_point_iteration:Iteration=76, var_wn=0.0740407 -fixed_point_iteration:Iteration=77, var_wn=0.0739223 -fixed_point_iteration:Iteration=78, var_wn=0.0738083 -fixed_point_iteration:Iteration=79, var_wn=0.0736987 -fixed_point_iteration:Iteration=80, var_wn=0.0735932 -fixed_point_iteration:Iteration=81, var_wn=0.0734916 -fixed_point_iteration:Iteration=82, var_wn=0.0733939 -fixed_point_iteration:Iteration=83, var_wn=0.0732998 -fixed_point_iteration:Iteration=84, var_wn=0.0732091 -fixed_point_iteration:Iteration=85, var_wn=0.0731219 -fixed_point_iteration:Iteration=86, var_wn=0.0730379 -fixed_point_iteration:Iteration=87, var_wn=0.0729569 -fixed_point_iteration:Iteration=88, var_wn=0.072879 -fixed_point_iteration:Iteration=89, var_wn=0.0728038 -fixed_point_iteration:Iteration=90, var_wn=0.0727315 -fixed_point_iteration:Iteration=91, var_wn=0.0726617 -fixed_point_iteration:Iteration=92, var_wn=0.0725945 -fixed_point_iteration:Iteration=93, var_wn=0.0725298 -fixed_point_iteration:Iteration=94, var_wn=0.0724673 -fixed_point_iteration:Iteration=95, var_wn=0.0724072 -fixed_point_iteration:Iteration=96, var_wn=0.0723491 -fixed_point_iteration:Iteration=97, var_wn=0.0722932 -fixed_point_iteration:Iteration=98, var_wn=0.0722393 -fixed_point_iteration:Iteration=99, var_wn=0.0721873 -fixed_point_iteration:Iteration=100, var_wn=0.0721372 -fixed_point_iteration:Iteration=101, var_wn=0.0720888 -fixed_point_iteration:Iteration=102, var_wn=0.0720422 -fixed_point_iteration:Iteration=103, var_wn=0.0719972 -fixed_point_iteration:Iteration=104, var_wn=0.0719538 -fixed_point_iteration:Iteration=105, var_wn=0.0719119 -fixed_point_iteration:Iteration=106, var_wn=0.0718716 -fixed_point_iteration:Iteration=107, var_wn=0.0718326 -fixed_point_iteration:Iteration=108, var_wn=0.0717951 -fixed_point_iteration:Iteration=109, var_wn=0.0717588 -fixed_point_iteration:Iteration=110, var_wn=0.0717238 -fixed_point_iteration:Iteration=111, var_wn=0.0716901 -fixed_point_iteration:Iteration=112, var_wn=0.0716575 -fixed_point_iteration:Iteration=113, var_wn=0.0716261 -fixed_point_iteration:Iteration=114, var_wn=0.0715957 -fixed_point_iteration:Iteration=115, var_wn=0.0715664 -fixed_point_iteration:Iteration=116, var_wn=0.0715382 -fixed_point_iteration:Iteration=117, var_wn=0.0715109 -fixed_point_iteration:Iteration=118, var_wn=0.0714846 -fixed_point_iteration:Iteration=119, var_wn=0.0714592 -fixed_point_iteration:Iteration=120, var_wn=0.0714347 -fixed_point_iteration:Iteration=121, var_wn=0.071411 -fixed_point_iteration:Iteration=122, var_wn=0.0713881 -fixed_point_iteration:Iteration=123, var_wn=0.0713661 -fixed_point_iteration:Iteration=124, var_wn=0.0713448 -fixed_point_iteration:Iteration=125, var_wn=0.0713242 -fixed_point_iteration:Iteration=126, var_wn=0.0713044 -fixed_point_iteration:Iteration=127, var_wn=0.0712852 -fixed_point_iteration:Iteration=128, var_wn=0.0712667 -fixed_point_iteration:Iteration=129, var_wn=0.0712488 -fixed_point_iteration:Iteration=130, var_wn=0.0712316 -fixed_point_iteration:Iteration=131, var_wn=0.0712149 -fixed_point_iteration:Iteration=132, var_wn=0.0711988 -fixed_point_iteration:Iteration=133, var_wn=0.0711833 -fixed_point_iteration:Iteration=134, var_wn=0.0711683 -fixed_point_iteration:Iteration=135, var_wn=0.0711538 -fixed_point_iteration:Iteration=136, var_wn=0.0711398 -fixed_point_iteration:Iteration=137, var_wn=0.0711263 -fixed_point_iteration:Iteration=138, var_wn=0.0711133 -fixed_point_iteration:Iteration=139, var_wn=0.0711007 -fixed_point_iteration:Iteration=140, var_wn=0.0710885 -fixed_point_iteration:Iteration=141, var_wn=0.0710768 -fixed_point_iteration:Iteration=142, var_wn=0.0710654 -fixed_point_iteration:Iteration=143, var_wn=0.0710545 -fixed_point_iteration:Iteration=144, var_wn=0.0710439 -fixed_point_iteration:Iteration=145, var_wn=0.0710337 -fixed_point_iteration:Iteration=146, var_wn=0.0710238 -WN variance = 0.0710238 -Partition size = (34,13,13) - Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] -'zeta.csv' -> 'zeta-skewnormal.csv' -NIT for standing waves -Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-none -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = AR -Verification scheme = manual -AR model = order=(7,7,7),acf.shape=(10,10,10) -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = none -ACF variance = 1 -WN variance = 0.000519022 -Partition size = (21,10,10) - Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] -Zeta size = (192,32,32) -'zeta.csv' -> 'zeta-none.csv' -Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-gramcharlier -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = AR -Verification scheme = manual -AR model = order=(7,7,7),acf.shape=(10,10,10) -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = dist=gram_charlier,skewness=3.25,kurtosis=2.4,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 -err = 0.995366 -err = 0.472576 -err = 0.608796 -err = 0.61584 -err = 0.639818 -err = 12.4501 -err = 9.45159e+10 -err = 1.08018e+11 -err = 3.05905e+13 -err = 3.39774e+13 -err = 1.70414e+14 -err = 1.82818e+14 -err = 1.83166e+14 -err = 2.11267e+25 -err = 9.15985e+25 -err = 2.75794e+29 -err = 2.79745e+29 -err = 3.63216e+31 -err = 3.64474e+31 -err = 2.32998e+33 -trim = 2 -ACF variance = 1 -WN variance = 0.000519022 -Partition size = (21,10,10) - Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] -Zeta size = (192,32,32) -'zeta.csv' -> 'zeta-gramcharlier.csv' -Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-skewnormal -Output grid size = (200,40,40) -Output grid patch size = (1,1,1) -Model = AR -Verification scheme = manual -AR model = order=(7,7,7),acf.shape=(10,10,10) -Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE -Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) -NIT transform = dist=skew_normal,mean=0,stdev=1,alpha=1,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 -err = 0.893011 -err = 0.269503 -err = 0.173329 -err = 0.0040605 -err = 2.82799e+09 -err = 4.3525e+25 -err = 4.3525e+25 -err = 7.2978e+33 -err = 2.7618e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -err = 3.06867e+44 -trim = 4 -ACF variance = 1 -WN variance = 0.000519022 -Partition size = (21,10,10) - Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] -Zeta size = (192,32,32) -'zeta.csv' -> 'zeta-skewnormal.csv' -#+end_example -** Download arma-benchmarks data from repository -#+begin_src sh :exports none :results verbatim -set -e -dir=build/arma-benchmarks -mkdir -p $dir -if ! test -d "$dir/.git" -then - git clone https://github.com/igankevich/arma-benchmarks $dir -fi -cd $dir -git checkout master -git pull -git checkout 1ed6679387f0b79d8495c8bf55a6b0b304347e48 -#+end_src - -#+RESULTS: -: Ваша ветка обновлена в соответствии с «origin/master». -: Already up-to-date. * Introduction **** Topic relevance. diff --git a/setup.org b/setup.org @@ -0,0 +1,1247 @@ +#+LATEX_CLASS: gost +#+LATEX_CLASS_OPTIONS: [hidelinks,fontsize=14pt,paper=a4,pagesize,DIV=calc,noenddot] +#+LATEX_HEADER_EXTRA: \input{preamble} +#+OPTIONS: todo:nil title:nil ':t H:5 +#+STARTUP: indent +#+PROPERTY: header-args:R :results graphics :exports results + +* Config :noexport: +** Emacs +#+begin_src elisp :exports none :results none +;; GOST class +(add-to-list 'org-latex-classes + '("gost" + "\\documentclass{gost} +% default packages {{{ +[DEFAULT-PACKAGES]% }}} +% more packages {{{ +[PACKAGES]% }}} +% extra commands {{{ +[EXTRA]% }}}" + ("\\section{%s}" . "\\section*{%s}") + ("\\subsection{%s}" . "\\subsection*{%s}") + ("\\subsubsection{%s}" . "\\subsubsection*{%s}") + ("\\paragraph{%s}" . "\\paragraph*{%s}") + ("\\subparagraph{%s}" . "\\subparagraph*{%s}"))) +;; do not include obsolete packages +(setq org-latex-default-packages-alist + '(("" "graphicx") + ("" "booktabs") + ("" "amsmath") + ("" "amssymb") + ("" "hyperref") + ("" "tikz") + ("" "cite") + ("" "url") + ("" "polyglossia") + )) +;; auto-detect document language +(setq org-latex-hyperref-template +"%% meta data {{{ +\\hypersetup{ + pdfauthor={%a}, + pdftitle={%t}, + pdfkeywords={%k}, + pdfsubject={%d}, + pdfcreator={%c}, + pdflang={%L}, + unicode={true} +} +\\setdefaultlanguage{%l} +%% }}} +") +;; move table/figure captions to the bottom +(setq org-latex-caption-above nil) +;; preserve original image width +(setq org-latex-image-default-width nil) +;; booktabs tables +(setq org-export-latex-tables-hline "\\midrule") +(setq org-export-latex-tables-tstart "\\toprule") +(setq org-export-latex-tables-tend "\\bottomrule") +#+end_src + +** Produce data for Q-Q, ACF and velocity potential plots +#+begin_src sh :exports none :results verbatim +root=$(pwd) +for testname in \ + propagating_wave \ + standing_wave \ + plain_wave_linear_solver \ + plain_wave_high_amplitude_solver +do + wd=$root/build/$testname + rm -rf $wd + mkdir -p $wd + cd $wd + cp $root/config/mt.dat . + arma -c $root/config/$testname.arma 2>&1 +done +#+end_src + +#+RESULTS: +#+begin_example +Input file = /home/igankevich/workspace/arma-thesis/config/propagating_wave.arma +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = MA +Verification scheme = manual +MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration +ACF variance = 5 +fixed_point_iteration:Iteration=0, var_wn=2.70831 +fixed_point_iteration:Iteration=1, var_wn=1.93791 +fixed_point_iteration:Iteration=2, var_wn=1.54801 +fixed_point_iteration:Iteration=3, var_wn=1.31202 +fixed_point_iteration:Iteration=4, var_wn=1.15328 +fixed_point_iteration:Iteration=5, var_wn=1.0386 +fixed_point_iteration:Iteration=6, var_wn=0.951442 +fixed_point_iteration:Iteration=7, var_wn=0.882674 +fixed_point_iteration:Iteration=8, var_wn=0.82688 +fixed_point_iteration:Iteration=9, var_wn=0.780623 +fixed_point_iteration:Iteration=10, var_wn=0.74161 +fixed_point_iteration:Iteration=11, var_wn=0.708244 +fixed_point_iteration:Iteration=12, var_wn=0.679374 +fixed_point_iteration:Iteration=13, var_wn=0.654145 +fixed_point_iteration:Iteration=14, var_wn=0.63191 +fixed_point_iteration:Iteration=15, var_wn=0.612168 +fixed_point_iteration:Iteration=16, var_wn=0.594523 +fixed_point_iteration:Iteration=17, var_wn=0.578663 +fixed_point_iteration:Iteration=18, var_wn=0.564333 +fixed_point_iteration:Iteration=19, var_wn=0.551325 +fixed_point_iteration:Iteration=20, var_wn=0.539469 +fixed_point_iteration:Iteration=21, var_wn=0.528623 +fixed_point_iteration:Iteration=22, var_wn=0.518666 +fixed_point_iteration:Iteration=23, var_wn=0.509497 +fixed_point_iteration:Iteration=24, var_wn=0.50103 +fixed_point_iteration:Iteration=25, var_wn=0.493191 +fixed_point_iteration:Iteration=26, var_wn=0.485915 +fixed_point_iteration:Iteration=27, var_wn=0.479148 +fixed_point_iteration:Iteration=28, var_wn=0.472841 +fixed_point_iteration:Iteration=29, var_wn=0.466951 +fixed_point_iteration:Iteration=30, var_wn=0.461442 +fixed_point_iteration:Iteration=31, var_wn=0.456279 +fixed_point_iteration:Iteration=32, var_wn=0.451435 +fixed_point_iteration:Iteration=33, var_wn=0.446882 +fixed_point_iteration:Iteration=34, var_wn=0.442597 +fixed_point_iteration:Iteration=35, var_wn=0.43856 +fixed_point_iteration:Iteration=36, var_wn=0.434752 +fixed_point_iteration:Iteration=37, var_wn=0.431155 +fixed_point_iteration:Iteration=38, var_wn=0.427755 +fixed_point_iteration:Iteration=39, var_wn=0.424537 +fixed_point_iteration:Iteration=40, var_wn=0.42149 +fixed_point_iteration:Iteration=41, var_wn=0.4186 +fixed_point_iteration:Iteration=42, var_wn=0.415859 +fixed_point_iteration:Iteration=43, var_wn=0.413256 +fixed_point_iteration:Iteration=44, var_wn=0.410782 +fixed_point_iteration:Iteration=45, var_wn=0.408429 +fixed_point_iteration:Iteration=46, var_wn=0.406191 +fixed_point_iteration:Iteration=47, var_wn=0.404059 +fixed_point_iteration:Iteration=48, var_wn=0.402028 +fixed_point_iteration:Iteration=49, var_wn=0.400092 +fixed_point_iteration:Iteration=50, var_wn=0.398246 +fixed_point_iteration:Iteration=51, var_wn=0.396483 +fixed_point_iteration:Iteration=52, var_wn=0.3948 +fixed_point_iteration:Iteration=53, var_wn=0.393193 +fixed_point_iteration:Iteration=54, var_wn=0.391656 +fixed_point_iteration:Iteration=55, var_wn=0.390187 +fixed_point_iteration:Iteration=56, var_wn=0.388782 +fixed_point_iteration:Iteration=57, var_wn=0.387438 +fixed_point_iteration:Iteration=58, var_wn=0.386151 +fixed_point_iteration:Iteration=59, var_wn=0.384918 +fixed_point_iteration:Iteration=60, var_wn=0.383738 +fixed_point_iteration:Iteration=61, var_wn=0.382606 +fixed_point_iteration:Iteration=62, var_wn=0.381522 +fixed_point_iteration:Iteration=63, var_wn=0.380482 +fixed_point_iteration:Iteration=64, var_wn=0.379485 +fixed_point_iteration:Iteration=65, var_wn=0.378528 +fixed_point_iteration:Iteration=66, var_wn=0.37761 +fixed_point_iteration:Iteration=67, var_wn=0.376728 +fixed_point_iteration:Iteration=68, var_wn=0.375882 +fixed_point_iteration:Iteration=69, var_wn=0.37507 +fixed_point_iteration:Iteration=70, var_wn=0.374289 +fixed_point_iteration:Iteration=71, var_wn=0.373539 +fixed_point_iteration:Iteration=72, var_wn=0.372818 +fixed_point_iteration:Iteration=73, var_wn=0.372126 +fixed_point_iteration:Iteration=74, var_wn=0.37146 +fixed_point_iteration:Iteration=75, var_wn=0.370819 +fixed_point_iteration:Iteration=76, var_wn=0.370204 +fixed_point_iteration:Iteration=77, var_wn=0.369611 +fixed_point_iteration:Iteration=78, var_wn=0.369042 +fixed_point_iteration:Iteration=79, var_wn=0.368493 +fixed_point_iteration:Iteration=80, var_wn=0.367966 +fixed_point_iteration:Iteration=81, var_wn=0.367458 +fixed_point_iteration:Iteration=82, var_wn=0.366969 +fixed_point_iteration:Iteration=83, var_wn=0.366499 +fixed_point_iteration:Iteration=84, var_wn=0.366046 +fixed_point_iteration:Iteration=85, var_wn=0.365609 +fixed_point_iteration:Iteration=86, var_wn=0.365189 +fixed_point_iteration:Iteration=87, var_wn=0.364785 +fixed_point_iteration:Iteration=88, var_wn=0.364395 +fixed_point_iteration:Iteration=89, var_wn=0.364019 +fixed_point_iteration:Iteration=90, var_wn=0.363657 +fixed_point_iteration:Iteration=91, var_wn=0.363309 +fixed_point_iteration:Iteration=92, var_wn=0.362973 +fixed_point_iteration:Iteration=93, var_wn=0.362649 +fixed_point_iteration:Iteration=94, var_wn=0.362337 +fixed_point_iteration:Iteration=95, var_wn=0.362036 +fixed_point_iteration:Iteration=96, var_wn=0.361746 +fixed_point_iteration:Iteration=97, var_wn=0.361466 +fixed_point_iteration:Iteration=98, var_wn=0.361196 +fixed_point_iteration:Iteration=99, var_wn=0.360936 +fixed_point_iteration:Iteration=100, var_wn=0.360686 +fixed_point_iteration:Iteration=101, var_wn=0.360444 +fixed_point_iteration:Iteration=102, var_wn=0.360211 +fixed_point_iteration:Iteration=103, var_wn=0.359986 +fixed_point_iteration:Iteration=104, var_wn=0.359769 +fixed_point_iteration:Iteration=105, var_wn=0.35956 +fixed_point_iteration:Iteration=106, var_wn=0.359358 +fixed_point_iteration:Iteration=107, var_wn=0.359163 +fixed_point_iteration:Iteration=108, var_wn=0.358975 +fixed_point_iteration:Iteration=109, var_wn=0.358794 +fixed_point_iteration:Iteration=110, var_wn=0.358619 +fixed_point_iteration:Iteration=111, var_wn=0.35845 +fixed_point_iteration:Iteration=112, var_wn=0.358287 +fixed_point_iteration:Iteration=113, var_wn=0.35813 +fixed_point_iteration:Iteration=114, var_wn=0.357979 +fixed_point_iteration:Iteration=115, var_wn=0.357832 +fixed_point_iteration:Iteration=116, var_wn=0.357691 +fixed_point_iteration:Iteration=117, var_wn=0.357555 +fixed_point_iteration:Iteration=118, var_wn=0.357423 +fixed_point_iteration:Iteration=119, var_wn=0.357296 +fixed_point_iteration:Iteration=120, var_wn=0.357173 +fixed_point_iteration:Iteration=121, var_wn=0.357055 +fixed_point_iteration:Iteration=122, var_wn=0.356941 +fixed_point_iteration:Iteration=123, var_wn=0.35683 +fixed_point_iteration:Iteration=124, var_wn=0.356724 +fixed_point_iteration:Iteration=125, var_wn=0.356621 +fixed_point_iteration:Iteration=126, var_wn=0.356522 +fixed_point_iteration:Iteration=127, var_wn=0.356426 +fixed_point_iteration:Iteration=128, var_wn=0.356334 +fixed_point_iteration:Iteration=129, var_wn=0.356244 +fixed_point_iteration:Iteration=130, var_wn=0.356158 +fixed_point_iteration:Iteration=131, var_wn=0.356075 +fixed_point_iteration:Iteration=132, var_wn=0.355994 +fixed_point_iteration:Iteration=133, var_wn=0.355917 +fixed_point_iteration:Iteration=134, var_wn=0.355842 +fixed_point_iteration:Iteration=135, var_wn=0.355769 +fixed_point_iteration:Iteration=136, var_wn=0.355699 +fixed_point_iteration:Iteration=137, var_wn=0.355632 +fixed_point_iteration:Iteration=138, var_wn=0.355566 +fixed_point_iteration:Iteration=139, var_wn=0.355504 +fixed_point_iteration:Iteration=140, var_wn=0.355443 +fixed_point_iteration:Iteration=141, var_wn=0.355384 +fixed_point_iteration:Iteration=142, var_wn=0.355327 +fixed_point_iteration:Iteration=143, var_wn=0.355272 +fixed_point_iteration:Iteration=144, var_wn=0.35522 +fixed_point_iteration:Iteration=145, var_wn=0.355168 +fixed_point_iteration:Iteration=146, var_wn=0.355119 +fixed_point_iteration:Iteration=147, var_wn=0.355071 +fixed_point_iteration:Iteration=148, var_wn=0.355025 +fixed_point_iteration:Iteration=149, var_wn=0.354981 +fixed_point_iteration:Iteration=150, var_wn=0.354938 +fixed_point_iteration:Iteration=151, var_wn=0.354896 +fixed_point_iteration:Iteration=152, var_wn=0.354856 +fixed_point_iteration:Iteration=153, var_wn=0.354818 +fixed_point_iteration:Iteration=154, var_wn=0.35478 +fixed_point_iteration:Iteration=155, var_wn=0.354744 +fixed_point_iteration:Iteration=156, var_wn=0.354709 +fixed_point_iteration:Iteration=157, var_wn=0.354676 +fixed_point_iteration:Iteration=158, var_wn=0.354643 +fixed_point_iteration:Iteration=159, var_wn=0.354612 +fixed_point_iteration:Iteration=160, var_wn=0.354581 +fixed_point_iteration:Iteration=161, var_wn=0.354552 +fixed_point_iteration:Iteration=162, var_wn=0.354523 +fixed_point_iteration:Iteration=163, var_wn=0.354496 +fixed_point_iteration:Iteration=164, var_wn=0.35447 +fixed_point_iteration:Iteration=165, var_wn=0.354444 +fixed_point_iteration:Iteration=166, var_wn=0.354419 +fixed_point_iteration:Iteration=167, var_wn=0.354396 +fixed_point_iteration:Iteration=168, var_wn=0.354373 +fixed_point_iteration:Iteration=169, var_wn=0.35435 +fixed_point_iteration:Iteration=170, var_wn=0.354329 +fixed_point_iteration:Iteration=171, var_wn=0.354308 +fixed_point_iteration:Iteration=172, var_wn=0.354288 +fixed_point_iteration:Iteration=173, var_wn=0.354269 +fixed_point_iteration:Iteration=174, var_wn=0.35425 +fixed_point_iteration:Iteration=175, var_wn=0.354232 +fixed_point_iteration:Iteration=176, var_wn=0.354214 +fixed_point_iteration:Iteration=177, var_wn=0.354197 +fixed_point_iteration:Iteration=178, var_wn=0.354181 +fixed_point_iteration:Iteration=179, var_wn=0.354165 +fixed_point_iteration:Iteration=180, var_wn=0.35415 +fixed_point_iteration:Iteration=181, var_wn=0.354135 +fixed_point_iteration:Iteration=182, var_wn=0.354121 +fixed_point_iteration:Iteration=183, var_wn=0.354107 +fixed_point_iteration:Iteration=184, var_wn=0.354094 +fixed_point_iteration:Iteration=185, var_wn=0.354081 +fixed_point_iteration:Iteration=186, var_wn=0.354069 +fixed_point_iteration:Iteration=187, var_wn=0.354057 +fixed_point_iteration:Iteration=188, var_wn=0.354046 +fixed_point_iteration:Iteration=189, var_wn=0.354034 +fixed_point_iteration:Iteration=190, var_wn=0.354024 +fixed_point_iteration:Iteration=191, var_wn=0.354013 +fixed_point_iteration:Iteration=192, var_wn=0.354003 +fixed_point_iteration:Iteration=193, var_wn=0.353993 +WN variance = 0.353993 +Partition size = (34,13,13) +Finished part [1/96] +Finished part [2/96] +Finished part [3/96] +Finished part [4/96] +Finished part [5/96] +Finished part [6/96] +Finished part [7/96] +Finished part [8/96] +Finished part [9/96] +Finished part [10/96] +Finished part [11/96] +Finished part [12/96] +Finished part [13/96] +Finished part [14/96] +Finished part [15/96] +Finished part [16/96] +Finished part [17/96] +Finished part [18/96] +Finished part [19/96] +Finished part [20/96] +Finished part [21/96] +Finished part [22/96] +Finished part [23/96] +Finished part [24/96] +Finished part [25/96] +Finished part [26/96] +Finished part [27/96] +Finished part [28/96] +Finished part [29/96] +Finished part [30/96] +Finished part [31/96] +Finished part [32/96] +Finished part [33/96] +Finished part [34/96] +Finished part [35/96] +Finished part [36/96] +Finished part [37/96] +Finished part [38/96] +Finished part [39/96] +Finished part [40/96] +Finished part [41/96] +Finished part [42/96] +Finished part [43/96] +Finished part [44/96] +Finished part [45/96] +Finished part [46/96] +Finished part [47/96] +Finished part [48/96] +Finished part [49/96] +Finished part [50/96] +Finished part [51/96] +Finished part [52/96] +Finished part [53/96] +Finished part [54/96] +Finished part [55/96] +Finished part [56/96] +Finished part [57/96] +Finished part [58/96] +Finished part [59/96] +Finished part [60/96] +Finished part [61/96] +Finished part [62/96] +Finished part [63/96] +Finished part [64/96] +Finished part [65/96] +Finished part [66/96] +Finished part [67/96] +Finished part [68/96] +Finished part [69/96] +Finished part [70/96] +Finished part [71/96] +Finished part [72/96] +Finished part [73/96] +Finished part [74/96] +Finished part [75/96] +Finished part [76/96] +Finished part [77/96] +Finished part [78/96] +Finished part [79/96] +Finished part [80/96] +Finished part [81/96] +Finished part [82/96] +Finished part [83/96] +Finished part [84/96] +Finished part [85/96] +Finished part [86/96] +Finished part [87/96] +Finished part [88/96] +Finished part [89/96] +Finished part [90/96] +Finished part [91/96] +Finished part [92/96] +Finished part [93/96] +Finished part [94/96] +Finished part [95/96] +Finished part [96/96] +Input file = /home/igankevich/workspace/arma-thesis/config/standing_wave.arma +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = AR +Verification scheme = manual +AR model = order=(7,7,7),acf.shape=(10,10,10) +ACF variance = 5 +WN variance = 0.00259511 +Partition size = (21,10,10) +Finished part [1/160] +Finished part [2/160] +Finished part [3/160] +Finished part [4/160] +Finished part [5/160] +Finished part [6/160] +Finished part [7/160] +Finished part [8/160] +Finished part [9/160] +Finished part [10/160] +Finished part [11/160] +Finished part [12/160] +Finished part [13/160] +Finished part [14/160] +Finished part [15/160] +Finished part [16/160] +Finished part [17/160] +Finished part [18/160] +Finished part [19/160] +Finished part [20/160] +Finished part [21/160] +Finished part [22/160] +Finished part [23/160] +Finished part [24/160] +Finished part [25/160] +Finished part [26/160] +Finished part [27/160] +Finished part [28/160] +Finished part [29/160] +Finished part [30/160] +Finished part [31/160] +Finished part [32/160] +Finished part [33/160] +Finished part [34/160] +Finished part [35/160] +Finished part [36/160] +Finished part [37/160] +Finished part [38/160] +Finished part [39/160] +Finished part [40/160] +Finished part [41/160] +Finished part [42/160] +Finished part [43/160] +Finished part [44/160] +Finished part [45/160] +Finished part [46/160] +Finished part [47/160] +Finished part [48/160] +Finished part [49/160] +Finished part [50/160] +Finished part [51/160] +Finished part [52/160] +Finished part [53/160] +Finished part [54/160] +Finished part [55/160] +Finished part [56/160] +Finished part [57/160] +Finished part [58/160] +Finished part [59/160] +Finished part [60/160] +Finished part [61/160] +Finished part [62/160] +Finished part [63/160] +Finished part [64/160] +Finished part [65/160] +Finished part [66/160] +Finished part [67/160] +Finished part [68/160] +Finished part [69/160] +Finished part [70/160] +Finished part [71/160] +Finished part [72/160] +Finished part [73/160] +Finished part [74/160] +Finished part [75/160] +Finished part [76/160] +Finished part [77/160] +Finished part [78/160] +Finished part [79/160] +Finished part [80/160] +Finished part [81/160] +Finished part [82/160] +Finished part [83/160] +Finished part [84/160] +Finished part [85/160] +Finished part [86/160] +Finished part [87/160] +Finished part [88/160] +Finished part [89/160] +Finished part [90/160] +Finished part [91/160] +Finished part [92/160] +Finished part [93/160] +Finished part [94/160] +Finished part [95/160] +Finished part [96/160] +Finished part [97/160] +Finished part [98/160] +Finished part [99/160] +Finished part [100/160] +Finished part [101/160] +Finished part [102/160] +Finished part [103/160] +Finished part [104/160] +Finished part [105/160] +Finished part [106/160] +Finished part [107/160] +Finished part [108/160] +Finished part [109/160] +Finished part [110/160] +Finished part [111/160] +Finished part [112/160] +Finished part [113/160] +Finished part [114/160] +Finished part [115/160] +Finished part [116/160] +Finished part [117/160] +Finished part [118/160] +Finished part [119/160] +Finished part [120/160] +Finished part [121/160] +Finished part [122/160] +Finished part [123/160] +Finished part [124/160] +Finished part [125/160] +Finished part [126/160] +Finished part [127/160] +Finished part [128/160] +Finished part [129/160] +Finished part [130/160] +Finished part [131/160] +Finished part [132/160] +Finished part [133/160] +Finished part [134/160] +Finished part [135/160] +Finished part [136/160] +Finished part [137/160] +Finished part [138/160] +Finished part [139/160] +Finished part [140/160] +Finished part [141/160] +Finished part [142/160] +Finished part [143/160] +Finished part [144/160] +Finished part [145/160] +Finished part [146/160] +Finished part [147/160] +Finished part [148/160] +Finished part [149/160] +Finished part [150/160] +Finished part [151/160] +Finished part [152/160] +Finished part [153/160] +Finished part [154/160] +Finished part [155/160] +Finished part [156/160] +Finished part [157/160] +Finished part [158/160] +Finished part [159/160] +Finished part [160/160] +Zeta size = (192,32,32) +Input file = /home/igankevich/workspace/arma-thesis/config/plain_wave_linear_solver.arma +Output grid size = (200,128,40) +Output grid patch size = (1,0.0629921,0.205128) +Model = plain_wave +Verification scheme = manual +Plain wave model = func=cos,amplitudes=[4],wavenumbers=[0.125],phases=[0],velocities=[0.5] +Velocity potential solver name = N4arma8velocity13Linear_solverIdEE +Velocity potential solver = wnmax=(0,0.25),depth=12,domain=from (10,-12) to (10,4) npoints (1,128) +Input file = /home/igankevich/workspace/arma-thesis/config/plain_wave_high_amplitude_solver.arma +Output grid size = (200,128,40) +Output grid patch size = (1,0.0629921,0.205128) +Model = plain_wave +Verification scheme = manual +Plain wave model = func=cos,amplitudes=[4],wavenumbers=[0.125],phases=[0],velocities=[0.5] +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=(0,0.25),depth=12,domain=from (10,-12) to (10,4) npoints (1,128) +#+end_example +** Produce NIT plots +#+begin_src sh :exports none :results verbatim +root=$(pwd) + +function generate_surface() { + none=$1 + gcs=$2 + sn=$3 + testcase=$4 + + wd=$root/build/$testcase + rm -rf $wd + mkdir -p $wd + cd $wd + cp $root/config/mt.dat . + + # run linear case + arma -c $root/config/$none 2>&1 + cp -v zeta.csv zeta-none.csv + + # run Gram---Charlier case + arma -c $root/config/$gcs 2>&1 + cp -v zeta.csv zeta-gramcharlier.csv + + # run skew normal case + arma -c $root/config/$sn 2>&1 + cp -v zeta.csv zeta-skewnormal.csv +} + +echo "NIT for propagating waves" +generate_surface \ + nit-propagating-none \ + nit-propagating-gramcharlier \ + nit-propagating-skewnormal \ + nit-propagating + +echo "NIT for standing waves" +generate_surface \ + nit-standing-none \ + nit-standing-gramcharlier \ + nit-standing-skewnormal \ + nit-standing +#+end_src + +#+RESULTS: +#+begin_example +NIT for propagating waves +Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-none +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = MA +Verification scheme = manual +MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = none +ACF variance = 1 +fixed_point_iteration:Iteration=0, var_wn=0.541662 +fixed_point_iteration:Iteration=1, var_wn=0.387581 +fixed_point_iteration:Iteration=2, var_wn=0.309602 +fixed_point_iteration:Iteration=3, var_wn=0.262404 +fixed_point_iteration:Iteration=4, var_wn=0.230656 +fixed_point_iteration:Iteration=5, var_wn=0.207721 +fixed_point_iteration:Iteration=6, var_wn=0.190288 +fixed_point_iteration:Iteration=7, var_wn=0.176535 +fixed_point_iteration:Iteration=8, var_wn=0.165376 +fixed_point_iteration:Iteration=9, var_wn=0.156125 +fixed_point_iteration:Iteration=10, var_wn=0.148322 +fixed_point_iteration:Iteration=11, var_wn=0.141649 +fixed_point_iteration:Iteration=12, var_wn=0.135875 +fixed_point_iteration:Iteration=13, var_wn=0.130829 +fixed_point_iteration:Iteration=14, var_wn=0.126382 +fixed_point_iteration:Iteration=15, var_wn=0.122434 +fixed_point_iteration:Iteration=16, var_wn=0.118905 +fixed_point_iteration:Iteration=17, var_wn=0.115733 +fixed_point_iteration:Iteration=18, var_wn=0.112867 +fixed_point_iteration:Iteration=19, var_wn=0.110265 +fixed_point_iteration:Iteration=20, var_wn=0.107894 +fixed_point_iteration:Iteration=21, var_wn=0.105725 +fixed_point_iteration:Iteration=22, var_wn=0.103733 +fixed_point_iteration:Iteration=23, var_wn=0.101899 +fixed_point_iteration:Iteration=24, var_wn=0.100206 +fixed_point_iteration:Iteration=25, var_wn=0.0986382 +fixed_point_iteration:Iteration=26, var_wn=0.0971831 +fixed_point_iteration:Iteration=27, var_wn=0.0958297 +fixed_point_iteration:Iteration=28, var_wn=0.0945682 +fixed_point_iteration:Iteration=29, var_wn=0.0933903 +fixed_point_iteration:Iteration=30, var_wn=0.0922883 +fixed_point_iteration:Iteration=31, var_wn=0.0912558 +fixed_point_iteration:Iteration=32, var_wn=0.0902869 +fixed_point_iteration:Iteration=33, var_wn=0.0893763 +fixed_point_iteration:Iteration=34, var_wn=0.0885194 +fixed_point_iteration:Iteration=35, var_wn=0.087712 +fixed_point_iteration:Iteration=36, var_wn=0.0869503 +fixed_point_iteration:Iteration=37, var_wn=0.086231 +fixed_point_iteration:Iteration=38, var_wn=0.085551 +fixed_point_iteration:Iteration=39, var_wn=0.0849075 +fixed_point_iteration:Iteration=40, var_wn=0.0842979 +fixed_point_iteration:Iteration=41, var_wn=0.0837201 +fixed_point_iteration:Iteration=42, var_wn=0.0831718 +fixed_point_iteration:Iteration=43, var_wn=0.0826511 +fixed_point_iteration:Iteration=44, var_wn=0.0821564 +fixed_point_iteration:Iteration=45, var_wn=0.0816859 +fixed_point_iteration:Iteration=46, var_wn=0.0812382 +fixed_point_iteration:Iteration=47, var_wn=0.0808119 +fixed_point_iteration:Iteration=48, var_wn=0.0804057 +fixed_point_iteration:Iteration=49, var_wn=0.0800185 +fixed_point_iteration:Iteration=50, var_wn=0.0796491 +fixed_point_iteration:Iteration=51, var_wn=0.0792966 +fixed_point_iteration:Iteration=52, var_wn=0.07896 +fixed_point_iteration:Iteration=53, var_wn=0.0786385 +fixed_point_iteration:Iteration=54, var_wn=0.0783313 +fixed_point_iteration:Iteration=55, var_wn=0.0780375 +fixed_point_iteration:Iteration=56, var_wn=0.0777565 +fixed_point_iteration:Iteration=57, var_wn=0.0774875 +fixed_point_iteration:Iteration=58, var_wn=0.0772301 +fixed_point_iteration:Iteration=59, var_wn=0.0769836 +fixed_point_iteration:Iteration=60, var_wn=0.0767475 +fixed_point_iteration:Iteration=61, var_wn=0.0765213 +fixed_point_iteration:Iteration=62, var_wn=0.0763044 +fixed_point_iteration:Iteration=63, var_wn=0.0760964 +fixed_point_iteration:Iteration=64, var_wn=0.0758969 +fixed_point_iteration:Iteration=65, var_wn=0.0757056 +fixed_point_iteration:Iteration=66, var_wn=0.075522 +fixed_point_iteration:Iteration=67, var_wn=0.0753457 +fixed_point_iteration:Iteration=68, var_wn=0.0751764 +fixed_point_iteration:Iteration=69, var_wn=0.0750139 +fixed_point_iteration:Iteration=70, var_wn=0.0748578 +fixed_point_iteration:Iteration=71, var_wn=0.0747078 +fixed_point_iteration:Iteration=72, var_wn=0.0745637 +fixed_point_iteration:Iteration=73, var_wn=0.0744251 +fixed_point_iteration:Iteration=74, var_wn=0.0742919 +fixed_point_iteration:Iteration=75, var_wn=0.0741639 +fixed_point_iteration:Iteration=76, var_wn=0.0740407 +fixed_point_iteration:Iteration=77, var_wn=0.0739223 +fixed_point_iteration:Iteration=78, var_wn=0.0738083 +fixed_point_iteration:Iteration=79, var_wn=0.0736987 +fixed_point_iteration:Iteration=80, var_wn=0.0735932 +fixed_point_iteration:Iteration=81, var_wn=0.0734916 +fixed_point_iteration:Iteration=82, var_wn=0.0733939 +fixed_point_iteration:Iteration=83, var_wn=0.0732998 +fixed_point_iteration:Iteration=84, var_wn=0.0732091 +fixed_point_iteration:Iteration=85, var_wn=0.0731219 +fixed_point_iteration:Iteration=86, var_wn=0.0730379 +fixed_point_iteration:Iteration=87, var_wn=0.0729569 +fixed_point_iteration:Iteration=88, var_wn=0.072879 +fixed_point_iteration:Iteration=89, var_wn=0.0728038 +fixed_point_iteration:Iteration=90, var_wn=0.0727315 +fixed_point_iteration:Iteration=91, var_wn=0.0726617 +fixed_point_iteration:Iteration=92, var_wn=0.0725945 +fixed_point_iteration:Iteration=93, var_wn=0.0725298 +fixed_point_iteration:Iteration=94, var_wn=0.0724673 +fixed_point_iteration:Iteration=95, var_wn=0.0724072 +fixed_point_iteration:Iteration=96, var_wn=0.0723491 +fixed_point_iteration:Iteration=97, var_wn=0.0722932 +fixed_point_iteration:Iteration=98, var_wn=0.0722393 +fixed_point_iteration:Iteration=99, var_wn=0.0721873 +fixed_point_iteration:Iteration=100, var_wn=0.0721372 +fixed_point_iteration:Iteration=101, var_wn=0.0720888 +fixed_point_iteration:Iteration=102, var_wn=0.0720422 +fixed_point_iteration:Iteration=103, var_wn=0.0719972 +fixed_point_iteration:Iteration=104, var_wn=0.0719538 +fixed_point_iteration:Iteration=105, var_wn=0.0719119 +fixed_point_iteration:Iteration=106, var_wn=0.0718716 +fixed_point_iteration:Iteration=107, var_wn=0.0718326 +fixed_point_iteration:Iteration=108, var_wn=0.0717951 +fixed_point_iteration:Iteration=109, var_wn=0.0717588 +fixed_point_iteration:Iteration=110, var_wn=0.0717238 +fixed_point_iteration:Iteration=111, var_wn=0.0716901 +fixed_point_iteration:Iteration=112, var_wn=0.0716575 +fixed_point_iteration:Iteration=113, var_wn=0.0716261 +fixed_point_iteration:Iteration=114, var_wn=0.0715957 +fixed_point_iteration:Iteration=115, var_wn=0.0715664 +fixed_point_iteration:Iteration=116, var_wn=0.0715382 +fixed_point_iteration:Iteration=117, var_wn=0.0715109 +fixed_point_iteration:Iteration=118, var_wn=0.0714846 +fixed_point_iteration:Iteration=119, var_wn=0.0714592 +fixed_point_iteration:Iteration=120, var_wn=0.0714347 +fixed_point_iteration:Iteration=121, var_wn=0.071411 +fixed_point_iteration:Iteration=122, var_wn=0.0713881 +fixed_point_iteration:Iteration=123, var_wn=0.0713661 +fixed_point_iteration:Iteration=124, var_wn=0.0713448 +fixed_point_iteration:Iteration=125, var_wn=0.0713242 +fixed_point_iteration:Iteration=126, var_wn=0.0713044 +fixed_point_iteration:Iteration=127, var_wn=0.0712852 +fixed_point_iteration:Iteration=128, var_wn=0.0712667 +fixed_point_iteration:Iteration=129, var_wn=0.0712488 +fixed_point_iteration:Iteration=130, var_wn=0.0712316 +fixed_point_iteration:Iteration=131, var_wn=0.0712149 +fixed_point_iteration:Iteration=132, var_wn=0.0711988 +fixed_point_iteration:Iteration=133, var_wn=0.0711833 +fixed_point_iteration:Iteration=134, var_wn=0.0711683 +fixed_point_iteration:Iteration=135, var_wn=0.0711538 +fixed_point_iteration:Iteration=136, var_wn=0.0711398 +fixed_point_iteration:Iteration=137, var_wn=0.0711263 +fixed_point_iteration:Iteration=138, var_wn=0.0711133 +fixed_point_iteration:Iteration=139, var_wn=0.0711007 +fixed_point_iteration:Iteration=140, var_wn=0.0710885 +fixed_point_iteration:Iteration=141, var_wn=0.0710768 +fixed_point_iteration:Iteration=142, var_wn=0.0710654 +fixed_point_iteration:Iteration=143, var_wn=0.0710545 +fixed_point_iteration:Iteration=144, var_wn=0.0710439 +fixed_point_iteration:Iteration=145, var_wn=0.0710337 +fixed_point_iteration:Iteration=146, var_wn=0.0710238 +WN variance = 0.0710238 +Partition size = (34,13,13) + Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] +'zeta.csv' -> 'zeta-none.csv' +Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-gramcharlier +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = MA +Verification scheme = manual +MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = dist=gram_charlier,skewness=2.25,kurtosis=0.4,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 +err = 0.999006 +err = 0.171001 +err = 0.25565 +err = 0.275353 +err = 6.34477e+26 +err = 7.61373e+26 +err = 4.86898e+32 +err = 4.86898e+32 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03444e+34 +err = 7.03447e+34 +err = 7.03447e+34 +err = 7.03807e+34 +err = 7.03808e+34 +err = 7.26744e+34 +trim = 2 +ACF variance = 1 +fixed_point_iteration:Iteration=0, var_wn=0.541662 +fixed_point_iteration:Iteration=1, var_wn=0.387581 +fixed_point_iteration:Iteration=2, var_wn=0.309602 +fixed_point_iteration:Iteration=3, var_wn=0.262404 +fixed_point_iteration:Iteration=4, var_wn=0.230656 +fixed_point_iteration:Iteration=5, var_wn=0.207721 +fixed_point_iteration:Iteration=6, var_wn=0.190288 +fixed_point_iteration:Iteration=7, var_wn=0.176535 +fixed_point_iteration:Iteration=8, var_wn=0.165376 +fixed_point_iteration:Iteration=9, var_wn=0.156125 +fixed_point_iteration:Iteration=10, var_wn=0.148322 +fixed_point_iteration:Iteration=11, var_wn=0.141649 +fixed_point_iteration:Iteration=12, var_wn=0.135875 +fixed_point_iteration:Iteration=13, var_wn=0.130829 +fixed_point_iteration:Iteration=14, var_wn=0.126382 +fixed_point_iteration:Iteration=15, var_wn=0.122434 +fixed_point_iteration:Iteration=16, var_wn=0.118905 +fixed_point_iteration:Iteration=17, var_wn=0.115733 +fixed_point_iteration:Iteration=18, var_wn=0.112867 +fixed_point_iteration:Iteration=19, var_wn=0.110265 +fixed_point_iteration:Iteration=20, var_wn=0.107894 +fixed_point_iteration:Iteration=21, var_wn=0.105725 +fixed_point_iteration:Iteration=22, var_wn=0.103733 +fixed_point_iteration:Iteration=23, var_wn=0.101899 +fixed_point_iteration:Iteration=24, var_wn=0.100206 +fixed_point_iteration:Iteration=25, var_wn=0.0986382 +fixed_point_iteration:Iteration=26, var_wn=0.0971831 +fixed_point_iteration:Iteration=27, var_wn=0.0958297 +fixed_point_iteration:Iteration=28, var_wn=0.0945682 +fixed_point_iteration:Iteration=29, var_wn=0.0933903 +fixed_point_iteration:Iteration=30, var_wn=0.0922883 +fixed_point_iteration:Iteration=31, var_wn=0.0912558 +fixed_point_iteration:Iteration=32, var_wn=0.0902869 +fixed_point_iteration:Iteration=33, var_wn=0.0893763 +fixed_point_iteration:Iteration=34, var_wn=0.0885194 +fixed_point_iteration:Iteration=35, var_wn=0.087712 +fixed_point_iteration:Iteration=36, var_wn=0.0869503 +fixed_point_iteration:Iteration=37, var_wn=0.086231 +fixed_point_iteration:Iteration=38, var_wn=0.085551 +fixed_point_iteration:Iteration=39, var_wn=0.0849075 +fixed_point_iteration:Iteration=40, var_wn=0.0842979 +fixed_point_iteration:Iteration=41, var_wn=0.0837201 +fixed_point_iteration:Iteration=42, var_wn=0.0831718 +fixed_point_iteration:Iteration=43, var_wn=0.0826511 +fixed_point_iteration:Iteration=44, var_wn=0.0821564 +fixed_point_iteration:Iteration=45, var_wn=0.0816859 +fixed_point_iteration:Iteration=46, var_wn=0.0812382 +fixed_point_iteration:Iteration=47, var_wn=0.0808119 +fixed_point_iteration:Iteration=48, var_wn=0.0804057 +fixed_point_iteration:Iteration=49, var_wn=0.0800185 +fixed_point_iteration:Iteration=50, var_wn=0.0796491 +fixed_point_iteration:Iteration=51, var_wn=0.0792966 +fixed_point_iteration:Iteration=52, var_wn=0.07896 +fixed_point_iteration:Iteration=53, var_wn=0.0786385 +fixed_point_iteration:Iteration=54, var_wn=0.0783313 +fixed_point_iteration:Iteration=55, var_wn=0.0780375 +fixed_point_iteration:Iteration=56, var_wn=0.0777565 +fixed_point_iteration:Iteration=57, var_wn=0.0774875 +fixed_point_iteration:Iteration=58, var_wn=0.0772301 +fixed_point_iteration:Iteration=59, var_wn=0.0769836 +fixed_point_iteration:Iteration=60, var_wn=0.0767475 +fixed_point_iteration:Iteration=61, var_wn=0.0765213 +fixed_point_iteration:Iteration=62, var_wn=0.0763044 +fixed_point_iteration:Iteration=63, var_wn=0.0760964 +fixed_point_iteration:Iteration=64, var_wn=0.0758969 +fixed_point_iteration:Iteration=65, var_wn=0.0757056 +fixed_point_iteration:Iteration=66, var_wn=0.075522 +fixed_point_iteration:Iteration=67, var_wn=0.0753457 +fixed_point_iteration:Iteration=68, var_wn=0.0751764 +fixed_point_iteration:Iteration=69, var_wn=0.0750139 +fixed_point_iteration:Iteration=70, var_wn=0.0748578 +fixed_point_iteration:Iteration=71, var_wn=0.0747078 +fixed_point_iteration:Iteration=72, var_wn=0.0745637 +fixed_point_iteration:Iteration=73, var_wn=0.0744251 +fixed_point_iteration:Iteration=74, var_wn=0.0742919 +fixed_point_iteration:Iteration=75, var_wn=0.0741639 +fixed_point_iteration:Iteration=76, var_wn=0.0740407 +fixed_point_iteration:Iteration=77, var_wn=0.0739223 +fixed_point_iteration:Iteration=78, var_wn=0.0738083 +fixed_point_iteration:Iteration=79, var_wn=0.0736987 +fixed_point_iteration:Iteration=80, var_wn=0.0735932 +fixed_point_iteration:Iteration=81, var_wn=0.0734916 +fixed_point_iteration:Iteration=82, var_wn=0.0733939 +fixed_point_iteration:Iteration=83, var_wn=0.0732998 +fixed_point_iteration:Iteration=84, var_wn=0.0732091 +fixed_point_iteration:Iteration=85, var_wn=0.0731219 +fixed_point_iteration:Iteration=86, var_wn=0.0730379 +fixed_point_iteration:Iteration=87, var_wn=0.0729569 +fixed_point_iteration:Iteration=88, var_wn=0.072879 +fixed_point_iteration:Iteration=89, var_wn=0.0728038 +fixed_point_iteration:Iteration=90, var_wn=0.0727315 +fixed_point_iteration:Iteration=91, var_wn=0.0726617 +fixed_point_iteration:Iteration=92, var_wn=0.0725945 +fixed_point_iteration:Iteration=93, var_wn=0.0725298 +fixed_point_iteration:Iteration=94, var_wn=0.0724673 +fixed_point_iteration:Iteration=95, var_wn=0.0724072 +fixed_point_iteration:Iteration=96, var_wn=0.0723491 +fixed_point_iteration:Iteration=97, var_wn=0.0722932 +fixed_point_iteration:Iteration=98, var_wn=0.0722393 +fixed_point_iteration:Iteration=99, var_wn=0.0721873 +fixed_point_iteration:Iteration=100, var_wn=0.0721372 +fixed_point_iteration:Iteration=101, var_wn=0.0720888 +fixed_point_iteration:Iteration=102, var_wn=0.0720422 +fixed_point_iteration:Iteration=103, var_wn=0.0719972 +fixed_point_iteration:Iteration=104, var_wn=0.0719538 +fixed_point_iteration:Iteration=105, var_wn=0.0719119 +fixed_point_iteration:Iteration=106, var_wn=0.0718716 +fixed_point_iteration:Iteration=107, var_wn=0.0718326 +fixed_point_iteration:Iteration=108, var_wn=0.0717951 +fixed_point_iteration:Iteration=109, var_wn=0.0717588 +fixed_point_iteration:Iteration=110, var_wn=0.0717238 +fixed_point_iteration:Iteration=111, var_wn=0.0716901 +fixed_point_iteration:Iteration=112, var_wn=0.0716575 +fixed_point_iteration:Iteration=113, var_wn=0.0716261 +fixed_point_iteration:Iteration=114, var_wn=0.0715957 +fixed_point_iteration:Iteration=115, var_wn=0.0715664 +fixed_point_iteration:Iteration=116, var_wn=0.0715382 +fixed_point_iteration:Iteration=117, var_wn=0.0715109 +fixed_point_iteration:Iteration=118, var_wn=0.0714846 +fixed_point_iteration:Iteration=119, var_wn=0.0714592 +fixed_point_iteration:Iteration=120, var_wn=0.0714347 +fixed_point_iteration:Iteration=121, var_wn=0.071411 +fixed_point_iteration:Iteration=122, var_wn=0.0713881 +fixed_point_iteration:Iteration=123, var_wn=0.0713661 +fixed_point_iteration:Iteration=124, var_wn=0.0713448 +fixed_point_iteration:Iteration=125, var_wn=0.0713242 +fixed_point_iteration:Iteration=126, var_wn=0.0713044 +fixed_point_iteration:Iteration=127, var_wn=0.0712852 +fixed_point_iteration:Iteration=128, var_wn=0.0712667 +fixed_point_iteration:Iteration=129, var_wn=0.0712488 +fixed_point_iteration:Iteration=130, var_wn=0.0712316 +fixed_point_iteration:Iteration=131, var_wn=0.0712149 +fixed_point_iteration:Iteration=132, var_wn=0.0711988 +fixed_point_iteration:Iteration=133, var_wn=0.0711833 +fixed_point_iteration:Iteration=134, var_wn=0.0711683 +fixed_point_iteration:Iteration=135, var_wn=0.0711538 +fixed_point_iteration:Iteration=136, var_wn=0.0711398 +fixed_point_iteration:Iteration=137, var_wn=0.0711263 +fixed_point_iteration:Iteration=138, var_wn=0.0711133 +fixed_point_iteration:Iteration=139, var_wn=0.0711007 +fixed_point_iteration:Iteration=140, var_wn=0.0710885 +fixed_point_iteration:Iteration=141, var_wn=0.0710768 +fixed_point_iteration:Iteration=142, var_wn=0.0710654 +fixed_point_iteration:Iteration=143, var_wn=0.0710545 +fixed_point_iteration:Iteration=144, var_wn=0.0710439 +fixed_point_iteration:Iteration=145, var_wn=0.0710337 +fixed_point_iteration:Iteration=146, var_wn=0.0710238 +WN variance = 0.0710238 +Partition size = (34,13,13) + Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] +'zeta.csv' -> 'zeta-gramcharlier.csv' +Input file = /home/igankevich/workspace/arma-thesis/config/nit-propagating-skewnormal +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = MA +Verification scheme = manual +MA model = order=(20,10,10),acf.shape=(20,10,10),algorithm=fixed_point_iteration +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = dist=skew_normal,mean=0,stdev=1,alpha=1,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +err = inf +trim = 0 +ACF variance = 1 +fixed_point_iteration:Iteration=0, var_wn=0.541662 +fixed_point_iteration:Iteration=1, var_wn=0.387581 +fixed_point_iteration:Iteration=2, var_wn=0.309602 +fixed_point_iteration:Iteration=3, var_wn=0.262404 +fixed_point_iteration:Iteration=4, var_wn=0.230656 +fixed_point_iteration:Iteration=5, var_wn=0.207721 +fixed_point_iteration:Iteration=6, var_wn=0.190288 +fixed_point_iteration:Iteration=7, var_wn=0.176535 +fixed_point_iteration:Iteration=8, var_wn=0.165376 +fixed_point_iteration:Iteration=9, var_wn=0.156125 +fixed_point_iteration:Iteration=10, var_wn=0.148322 +fixed_point_iteration:Iteration=11, var_wn=0.141649 +fixed_point_iteration:Iteration=12, var_wn=0.135875 +fixed_point_iteration:Iteration=13, var_wn=0.130829 +fixed_point_iteration:Iteration=14, var_wn=0.126382 +fixed_point_iteration:Iteration=15, var_wn=0.122434 +fixed_point_iteration:Iteration=16, var_wn=0.118905 +fixed_point_iteration:Iteration=17, var_wn=0.115733 +fixed_point_iteration:Iteration=18, var_wn=0.112867 +fixed_point_iteration:Iteration=19, var_wn=0.110265 +fixed_point_iteration:Iteration=20, var_wn=0.107894 +fixed_point_iteration:Iteration=21, var_wn=0.105725 +fixed_point_iteration:Iteration=22, var_wn=0.103733 +fixed_point_iteration:Iteration=23, var_wn=0.101899 +fixed_point_iteration:Iteration=24, var_wn=0.100206 +fixed_point_iteration:Iteration=25, var_wn=0.0986382 +fixed_point_iteration:Iteration=26, var_wn=0.0971831 +fixed_point_iteration:Iteration=27, var_wn=0.0958297 +fixed_point_iteration:Iteration=28, var_wn=0.0945682 +fixed_point_iteration:Iteration=29, var_wn=0.0933903 +fixed_point_iteration:Iteration=30, var_wn=0.0922883 +fixed_point_iteration:Iteration=31, var_wn=0.0912558 +fixed_point_iteration:Iteration=32, var_wn=0.0902869 +fixed_point_iteration:Iteration=33, var_wn=0.0893763 +fixed_point_iteration:Iteration=34, var_wn=0.0885194 +fixed_point_iteration:Iteration=35, var_wn=0.087712 +fixed_point_iteration:Iteration=36, var_wn=0.0869503 +fixed_point_iteration:Iteration=37, var_wn=0.086231 +fixed_point_iteration:Iteration=38, var_wn=0.085551 +fixed_point_iteration:Iteration=39, var_wn=0.0849075 +fixed_point_iteration:Iteration=40, var_wn=0.0842979 +fixed_point_iteration:Iteration=41, var_wn=0.0837201 +fixed_point_iteration:Iteration=42, var_wn=0.0831718 +fixed_point_iteration:Iteration=43, var_wn=0.0826511 +fixed_point_iteration:Iteration=44, var_wn=0.0821564 +fixed_point_iteration:Iteration=45, var_wn=0.0816859 +fixed_point_iteration:Iteration=46, var_wn=0.0812382 +fixed_point_iteration:Iteration=47, var_wn=0.0808119 +fixed_point_iteration:Iteration=48, var_wn=0.0804057 +fixed_point_iteration:Iteration=49, var_wn=0.0800185 +fixed_point_iteration:Iteration=50, var_wn=0.0796491 +fixed_point_iteration:Iteration=51, var_wn=0.0792966 +fixed_point_iteration:Iteration=52, var_wn=0.07896 +fixed_point_iteration:Iteration=53, var_wn=0.0786385 +fixed_point_iteration:Iteration=54, var_wn=0.0783313 +fixed_point_iteration:Iteration=55, var_wn=0.0780375 +fixed_point_iteration:Iteration=56, var_wn=0.0777565 +fixed_point_iteration:Iteration=57, var_wn=0.0774875 +fixed_point_iteration:Iteration=58, var_wn=0.0772301 +fixed_point_iteration:Iteration=59, var_wn=0.0769836 +fixed_point_iteration:Iteration=60, var_wn=0.0767475 +fixed_point_iteration:Iteration=61, var_wn=0.0765213 +fixed_point_iteration:Iteration=62, var_wn=0.0763044 +fixed_point_iteration:Iteration=63, var_wn=0.0760964 +fixed_point_iteration:Iteration=64, var_wn=0.0758969 +fixed_point_iteration:Iteration=65, var_wn=0.0757056 +fixed_point_iteration:Iteration=66, var_wn=0.075522 +fixed_point_iteration:Iteration=67, var_wn=0.0753457 +fixed_point_iteration:Iteration=68, var_wn=0.0751764 +fixed_point_iteration:Iteration=69, var_wn=0.0750139 +fixed_point_iteration:Iteration=70, var_wn=0.0748578 +fixed_point_iteration:Iteration=71, var_wn=0.0747078 +fixed_point_iteration:Iteration=72, var_wn=0.0745637 +fixed_point_iteration:Iteration=73, var_wn=0.0744251 +fixed_point_iteration:Iteration=74, var_wn=0.0742919 +fixed_point_iteration:Iteration=75, var_wn=0.0741639 +fixed_point_iteration:Iteration=76, var_wn=0.0740407 +fixed_point_iteration:Iteration=77, var_wn=0.0739223 +fixed_point_iteration:Iteration=78, var_wn=0.0738083 +fixed_point_iteration:Iteration=79, var_wn=0.0736987 +fixed_point_iteration:Iteration=80, var_wn=0.0735932 +fixed_point_iteration:Iteration=81, var_wn=0.0734916 +fixed_point_iteration:Iteration=82, var_wn=0.0733939 +fixed_point_iteration:Iteration=83, var_wn=0.0732998 +fixed_point_iteration:Iteration=84, var_wn=0.0732091 +fixed_point_iteration:Iteration=85, var_wn=0.0731219 +fixed_point_iteration:Iteration=86, var_wn=0.0730379 +fixed_point_iteration:Iteration=87, var_wn=0.0729569 +fixed_point_iteration:Iteration=88, var_wn=0.072879 +fixed_point_iteration:Iteration=89, var_wn=0.0728038 +fixed_point_iteration:Iteration=90, var_wn=0.0727315 +fixed_point_iteration:Iteration=91, var_wn=0.0726617 +fixed_point_iteration:Iteration=92, var_wn=0.0725945 +fixed_point_iteration:Iteration=93, var_wn=0.0725298 +fixed_point_iteration:Iteration=94, var_wn=0.0724673 +fixed_point_iteration:Iteration=95, var_wn=0.0724072 +fixed_point_iteration:Iteration=96, var_wn=0.0723491 +fixed_point_iteration:Iteration=97, var_wn=0.0722932 +fixed_point_iteration:Iteration=98, var_wn=0.0722393 +fixed_point_iteration:Iteration=99, var_wn=0.0721873 +fixed_point_iteration:Iteration=100, var_wn=0.0721372 +fixed_point_iteration:Iteration=101, var_wn=0.0720888 +fixed_point_iteration:Iteration=102, var_wn=0.0720422 +fixed_point_iteration:Iteration=103, var_wn=0.0719972 +fixed_point_iteration:Iteration=104, var_wn=0.0719538 +fixed_point_iteration:Iteration=105, var_wn=0.0719119 +fixed_point_iteration:Iteration=106, var_wn=0.0718716 +fixed_point_iteration:Iteration=107, var_wn=0.0718326 +fixed_point_iteration:Iteration=108, var_wn=0.0717951 +fixed_point_iteration:Iteration=109, var_wn=0.0717588 +fixed_point_iteration:Iteration=110, var_wn=0.0717238 +fixed_point_iteration:Iteration=111, var_wn=0.0716901 +fixed_point_iteration:Iteration=112, var_wn=0.0716575 +fixed_point_iteration:Iteration=113, var_wn=0.0716261 +fixed_point_iteration:Iteration=114, var_wn=0.0715957 +fixed_point_iteration:Iteration=115, var_wn=0.0715664 +fixed_point_iteration:Iteration=116, var_wn=0.0715382 +fixed_point_iteration:Iteration=117, var_wn=0.0715109 +fixed_point_iteration:Iteration=118, var_wn=0.0714846 +fixed_point_iteration:Iteration=119, var_wn=0.0714592 +fixed_point_iteration:Iteration=120, var_wn=0.0714347 +fixed_point_iteration:Iteration=121, var_wn=0.071411 +fixed_point_iteration:Iteration=122, var_wn=0.0713881 +fixed_point_iteration:Iteration=123, var_wn=0.0713661 +fixed_point_iteration:Iteration=124, var_wn=0.0713448 +fixed_point_iteration:Iteration=125, var_wn=0.0713242 +fixed_point_iteration:Iteration=126, var_wn=0.0713044 +fixed_point_iteration:Iteration=127, var_wn=0.0712852 +fixed_point_iteration:Iteration=128, var_wn=0.0712667 +fixed_point_iteration:Iteration=129, var_wn=0.0712488 +fixed_point_iteration:Iteration=130, var_wn=0.0712316 +fixed_point_iteration:Iteration=131, var_wn=0.0712149 +fixed_point_iteration:Iteration=132, var_wn=0.0711988 +fixed_point_iteration:Iteration=133, var_wn=0.0711833 +fixed_point_iteration:Iteration=134, var_wn=0.0711683 +fixed_point_iteration:Iteration=135, var_wn=0.0711538 +fixed_point_iteration:Iteration=136, var_wn=0.0711398 +fixed_point_iteration:Iteration=137, var_wn=0.0711263 +fixed_point_iteration:Iteration=138, var_wn=0.0711133 +fixed_point_iteration:Iteration=139, var_wn=0.0711007 +fixed_point_iteration:Iteration=140, var_wn=0.0710885 +fixed_point_iteration:Iteration=141, var_wn=0.0710768 +fixed_point_iteration:Iteration=142, var_wn=0.0710654 +fixed_point_iteration:Iteration=143, var_wn=0.0710545 +fixed_point_iteration:Iteration=144, var_wn=0.0710439 +fixed_point_iteration:Iteration=145, var_wn=0.0710337 +fixed_point_iteration:Iteration=146, var_wn=0.0710238 +WN variance = 0.0710238 +Partition size = (34,13,13) + Finished part [1/96] Finished part [2/96] Finished part [3/96] Finished part [4/96] Finished part [5/96] Finished part [6/96] Finished part [7/96] Finished part [8/96] Finished part [9/96] Finished part [10/96] Finished part [11/96] Finished part [12/96] Finished part [13/96] Finished part [14/96] Finished part [15/96] Finished part [16/96] Finished part [17/96] Finished part [18/96] Finished part [19/96] Finished part [20/96] Finished part [21/96] Finished part [22/96] Finished part [23/96] Finished part [24/96] Finished part [25/96] Finished part [26/96] Finished part [27/96] Finished part [28/96] Finished part [29/96] Finished part [30/96] Finished part [31/96] Finished part [32/96] Finished part [33/96] Finished part [34/96] Finished part [35/96] Finished part [36/96] Finished part [37/96] Finished part [38/96] Finished part [39/96] Finished part [40/96] Finished part [41/96] Finished part [42/96] Finished part [43/96] Finished part [44/96] Finished part [45/96] Finished part [46/96] Finished part [47/96] Finished part [48/96] Finished part [49/96] Finished part [50/96] Finished part [51/96] Finished part [52/96] Finished part [53/96] Finished part [54/96] Finished part [55/96] Finished part [56/96] Finished part [57/96] Finished part [58/96] Finished part [59/96] Finished part [60/96] Finished part [61/96] Finished part [62/96] Finished part [63/96] Finished part [64/96] Finished part [65/96] Finished part [66/96] Finished part [67/96] Finished part [68/96] Finished part [69/96] Finished part [70/96] Finished part [71/96] Finished part [72/96] Finished part [73/96] Finished part [74/96] Finished part [75/96] Finished part [76/96] Finished part [77/96] Finished part [78/96] Finished part [79/96] Finished part [80/96] Finished part [81/96] Finished part [82/96] Finished part [83/96] Finished part [84/96] Finished part [85/96] Finished part [86/96] Finished part [87/96] Finished part [88/96] Finished part [89/96] Finished part [90/96] Finished part [91/96] Finished part [92/96] Finished part [93/96] Finished part [94/96] Finished part [95/96] Finished part [96/96] +'zeta.csv' -> 'zeta-skewnormal.csv' +NIT for standing waves +Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-none +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = AR +Verification scheme = manual +AR model = order=(7,7,7),acf.shape=(10,10,10) +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = none +ACF variance = 1 +WN variance = 0.000519022 +Partition size = (21,10,10) + Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] +Zeta size = (192,32,32) +'zeta.csv' -> 'zeta-none.csv' +Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-gramcharlier +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = AR +Verification scheme = manual +AR model = order=(7,7,7),acf.shape=(10,10,10) +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = dist=gram_charlier,skewness=3.25,kurtosis=2.4,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 +err = 0.995366 +err = 0.472576 +err = 0.608796 +err = 0.61584 +err = 0.639818 +err = 12.4501 +err = 9.45159e+10 +err = 1.08018e+11 +err = 3.05905e+13 +err = 3.39774e+13 +err = 1.70414e+14 +err = 1.82818e+14 +err = 1.83166e+14 +err = 2.11267e+25 +err = 9.15985e+25 +err = 2.75794e+29 +err = 2.79745e+29 +err = 3.63216e+31 +err = 3.64474e+31 +err = 2.32998e+33 +trim = 2 +ACF variance = 1 +WN variance = 0.000519022 +Partition size = (21,10,10) + Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] +Zeta size = (192,32,32) +'zeta.csv' -> 'zeta-gramcharlier.csv' +Input file = /home/igankevich/workspace/arma-thesis/config/nit-standing-skewnormal +Output grid size = (200,40,40) +Output grid patch size = (1,1,1) +Model = AR +Verification scheme = manual +AR model = order=(7,7,7),acf.shape=(10,10,10) +Velocity potential solver name = N4arma8velocity21High_amplitude_solverIdEE +Velocity potential solver = wnmax=from (0,0) to (0,0.25) npoints (2,2),depth=12,domain=from (10,-12) to (10,3) npoints (1,128) +NIT transform = dist=skew_normal,mean=0,stdev=1,alpha=1,interpolation_nodes=100,interpolation_order=12,gram_charlier_order=20 +err = 0.893011 +err = 0.269503 +err = 0.173329 +err = 0.0040605 +err = 2.82799e+09 +err = 4.3525e+25 +err = 4.3525e+25 +err = 7.2978e+33 +err = 2.7618e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +err = 3.06867e+44 +trim = 4 +ACF variance = 1 +WN variance = 0.000519022 +Partition size = (21,10,10) + Finished part [1/160] Finished part [2/160] Finished part [3/160] Finished part [4/160] Finished part [5/160] Finished part [6/160] Finished part [7/160] Finished part [8/160] Finished part [9/160] Finished part [10/160] Finished part [11/160] Finished part [12/160] Finished part [13/160] Finished part [14/160] Finished part [15/160] Finished part [16/160] Finished part [17/160] Finished part [18/160] Finished part [19/160] Finished part [20/160] Finished part [21/160] Finished part [22/160] Finished part [23/160] Finished part [24/160] Finished part [25/160] Finished part [26/160] Finished part [27/160] Finished part [28/160] Finished part [29/160] Finished part [30/160] Finished part [31/160] Finished part [32/160] Finished part [33/160] Finished part [34/160] Finished part [35/160] Finished part [36/160] Finished part [37/160] Finished part [38/160] Finished part [39/160] Finished part [40/160] Finished part [41/160] Finished part [42/160] Finished part [43/160] Finished part [44/160] Finished part [45/160] Finished part [46/160] Finished part [47/160] Finished part [48/160] Finished part [49/160] Finished part [50/160] Finished part [51/160] Finished part [52/160] Finished part [53/160] Finished part [54/160] Finished part [55/160] Finished part [56/160] Finished part [57/160] Finished part [58/160] Finished part [59/160] Finished part [60/160] Finished part [61/160] Finished part [62/160] Finished part [63/160] Finished part [64/160] Finished part [65/160] Finished part [66/160] Finished part [67/160] Finished part [68/160] Finished part [69/160] Finished part [70/160] Finished part [71/160] Finished part [72/160] Finished part [73/160] Finished part [74/160] Finished part [75/160] Finished part [76/160] Finished part [77/160] Finished part [78/160] Finished part [79/160] Finished part [80/160] Finished part [81/160] Finished part [82/160] Finished part [83/160] Finished part [84/160] Finished part [85/160] Finished part [86/160] Finished part [87/160] Finished part [88/160] Finished part [89/160] Finished part [90/160] Finished part [91/160] Finished part [92/160] Finished part [93/160] Finished part [94/160] Finished part [95/160] Finished part [96/160] Finished part [97/160] Finished part [98/160] Finished part [99/160] Finished part [100/160] Finished part [101/160] Finished part [102/160] Finished part [103/160] Finished part [104/160] Finished part [105/160] Finished part [106/160] Finished part [107/160] Finished part [108/160] Finished part [109/160] Finished part [110/160] Finished part [111/160] Finished part [112/160] Finished part [113/160] Finished part [114/160] Finished part [115/160] Finished part [116/160] Finished part [117/160] Finished part [118/160] Finished part [119/160] Finished part [120/160] Finished part [121/160] Finished part [122/160] Finished part [123/160] Finished part [124/160] Finished part [125/160] Finished part [126/160] Finished part [127/160] Finished part [128/160] Finished part [129/160] Finished part [130/160] Finished part [131/160] Finished part [132/160] Finished part [133/160] Finished part [134/160] Finished part [135/160] Finished part [136/160] Finished part [137/160] Finished part [138/160] Finished part [139/160] Finished part [140/160] Finished part [141/160] Finished part [142/160] Finished part [143/160] Finished part [144/160] Finished part [145/160] Finished part [146/160] Finished part [147/160] Finished part [148/160] Finished part [149/160] Finished part [150/160] Finished part [151/160] Finished part [152/160] Finished part [153/160] Finished part [154/160] Finished part [155/160] Finished part [156/160] Finished part [157/160] Finished part [158/160] Finished part [159/160] Finished part [160/160] +Zeta size = (192,32,32) +'zeta.csv' -> 'zeta-skewnormal.csv' +#+end_example +** Download arma-benchmarks data from repository +#+begin_src sh :exports none :results verbatim +set -e +dir=build/arma-benchmarks +mkdir -p $dir +if ! test -d "$dir/.git" +then + git clone https://github.com/igankevich/arma-benchmarks $dir +fi +cd $dir +git checkout master +git pull +git checkout 1ed6679387f0b79d8495c8bf55a6b0b304347e48 +#+end_src + +#+RESULTS: +: Ваша ветка обновлена в соответствии с «origin/master». +: Already up-to-date.