commit eeaff3fab5c476f1f3f8a0eaf1fb296fa5c95c41
parent 872b6b1681890edcc9f526fbf788615f16ba0ea2
Author: Ivan Gankevich <igankevich@ya.ru>
Date: Fri, 22 Jun 2018 00:01:13 +0300
Use verification data from arma-benchmarks repo.
Diffstat:
6 files changed, 37 insertions(+), 1196 deletions(-)
diff --git a/.Rprofile b/.Rprofile
@@ -1,6 +1,6 @@
+library(ascii)
+library(grDevices)
# Replace pdf with cairo_pdf to be able to print Russian characters on graphs.
-require("grDevices")
pdf <- cairo_pdf
-library(ascii)
options(asciiType="org")
options(arma.mark=".")
diff --git a/Makefile b/Makefile
@@ -20,11 +20,19 @@ build/$(PHD_EN).pdf: $(PHD_EN).tex preamble.tex bib/*
latexmk $(FLAGS) -f $(PHD_EN).tex
true
-build/$(SLIDES).pdf: $(SLIDES).tex slides-preamble.tex $(SLIDES).org
- org export $(SLIDES).org beamer
+build/$(SLIDES).pdf: $(SLIDES).tex slides-preamble.tex math.tex
latexmk $(FLAGS) -f $(SLIDES).tex
true
+$(PHD_EN).tex: $(PHD_EN).org
+ org export $< latex
+
+$(PHD_RU).tex: $(PHD_RU).org
+ org export $< latex
+
+$(SLIDES).tex: $(SLIDES).org
+ org export $< beamer
+
clean:
rm -f build/$(PHD_EN)*
rm -f build/$(PHD_RU)*
diff --git a/arma-slides.org b/arma-slides.org
@@ -8,7 +8,7 @@
#+BEAMER_THEME: SaintPetersburg
#+OPTIONS: todo:nil title:nil ':t toc:nil H:2
#+STARTUP: indent
-#+PROPERTY: header-args:R :results graphics :exports results :eval no-export
+#+PROPERTY: header-args:R :results graphics :exports results
#+begin_export latex
\setbeamertemplate{title page}{%
@@ -408,7 +408,7 @@ arma.acf_plot(df, 0, zlim=c(0,1.0), expand=0.5, border=NA)
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), mar=c(1,1,1,0), mgp=c(3,0.3,0), cex=0.6, fg='black', col='navy')
arma.qqplot_grid_adj(
- file.path("build", "standing_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "standing_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("подъем", "высота", "длина", "период"),
0.1,
@@ -435,7 +435,7 @@ arma.qqplot_grid_adj(
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), mar=c(1,1,1,0), mgp=c(3,0.3,0), cex=0.6, col='navy')
arma.qqplot_grid_adj(
- file.path("build", "propagating_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "propagating_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("подъем", "высота", "длина", "период"),
0.1,
@@ -616,7 +616,7 @@ par(pty="s",mgp=c(3,0.2,0),mfrow=c(1,2),mar=c(1.5,1,0,0),cex=0.66,bty="n")
# linear solver
#par(fig=c(0,0.95,0,0.5),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_linear_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_linear_solver"),
levels=levels,
col=col,
contour_lwd=0.5,
@@ -630,7 +630,7 @@ arma.plot_velocity_potential_field(
# high-amplitude solver
#par(fig=c(0,0.95,0.5,1),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_high_amplitude_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_high_amplitude_solver"),
levels=levels,
col=col,
contour_lwd=0.5,
@@ -776,7 +776,7 @@ arma.plot_velocity_potential_field(
- волн произвольных амплитуд,
- произвольной глубины $h=\text{const}$.
-* Программный комплекс :noexport:
+* Программный комплекс
** Диаграмма
:PROPERTIES:
:BEAMER_ENV: fullframe
diff --git a/arma-thesis-ru.org b/arma-thesis-ru.org
@@ -679,7 +679,7 @@ Motion Programme (LAMP), программе для моделирования к
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), family="serif")
arma.qqplot_grid(
- file.path("build", "propagating_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "propagating_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("подъем", "высота по Y", "длина по Y", "период"),
xlab="x",
@@ -698,7 +698,7 @@ arma.qqplot_grid(
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), family="serif")
arma.qqplot_grid(
- file.path("build", "standing_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "standing_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("подъем", "высота по Y ", "длина по Y", "период"),
xlab="x",
@@ -716,8 +716,8 @@ arma.qqplot_grid(
#+header: :width 6 :height 9
#+begin_src R :file build/acf-slices-ru.pdf
source(file.path("R", "common.R"))
-propagating_acf <- read.csv(file.path("build", "propagating_wave", "acf.csv"))
-standing_acf <- read.csv(file.path("build", "standing_wave", "acf.csv"))
+propagating_acf <- read.csv(file.path("build", "arma-benchmarks", "verification-orig", "propagating_wave", "acf.csv"))
+standing_acf <- read.csv(file.path("build", "arma-benchmarks", "verification-orig", "standing_wave", "acf.csv"))
par(mfrow=c(5, 2), mar=c(0,0,0,0), family="serif")
for (i in seq(0, 4)) {
arma.wavy_plot(standing_acf, i, zlim=c(-5,5))
@@ -986,9 +986,9 @@ args <- list(
linetypes=c('solid', 'dashed', 'dotted')
)
args$title <- 'Прогрессивные волны'
-arma.plot_nonlinear(file.path("build", "nit-propagating"), args)
+arma.plot_nonlinear(file.path("build", "arma-benchmarks", "verification-orig", "nit-propagating"), args)
args$title <- 'Стоячие волны'
-arma.plot_nonlinear(file.path("build", "nit-standing"), args)
+arma.plot_nonlinear(file.path("build", "arma-benchmarks", "verification-orig", "nit-standing"), args)
#+end_src
#+name: fig-nit
@@ -1650,7 +1650,7 @@ col <- palette(nlevels-1)
# linear solver
par(fig=c(0,0.95,0,0.5),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_linear_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_linear_solver"),
levels=levels,
col=col
)
@@ -1658,7 +1658,7 @@ arma.plot_velocity_potential_field(
# high-amplitude solver
par(fig=c(0,0.95,0.5,1),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_high_amplitude_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_high_amplitude_solver"),
levels=levels,
col=col
)
diff --git a/arma-thesis.org b/arma-thesis.org
@@ -644,7 +644,7 @@ fig.\nbsp{}[[propagating-wave-distributions]],\nbsp{}[[standing-wave-distributio
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), family="serif")
arma.qqplot_grid(
- file.path("build", "propagating_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "propagating_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("elevation", "height Y", "length Y", "period"),
xlab="x",
@@ -663,7 +663,7 @@ arma.qqplot_grid(
source(file.path("R", "common.R"))
par(pty="s", mfrow=c(2, 2), family="serif")
arma.qqplot_grid(
- file.path("build", "standing_wave"),
+ file.path("build", "arma-benchmarks", "verification-orig", "standing_wave"),
c("elevation", "heights_y", "lengths_y", "periods"),
c("elevation", "height Y", "length Y", "period"),
xlab="x",
@@ -681,8 +681,8 @@ arma.qqplot_grid(
#+header: :width 6 :height 9
#+begin_src R :file build/acf-slices.pdf
source(file.path("R", "common.R"))
-propagating_acf <- read.csv(file.path("build", "propagating_wave", "acf.csv"))
-standing_acf <- read.csv(file.path("build", "standing_wave", "acf.csv"))
+propagating_acf <- read.csv(file.path("build", "arma-benchmarks", "verification-orig", "propagating_wave", "acf.csv"))
+standing_acf <- read.csv(file.path("build", "arma-benchmarks", "verification-orig", "standing_wave", "acf.csv"))
par(mfrow=c(5, 2), mar=c(0,0,0,0), family="serif")
for (i in seq(0, 4)) {
arma.wavy_plot(standing_acf, i, zlim=c(-5,5))
@@ -942,9 +942,9 @@ args <- list(
linetypes=c('solid', 'dashed', 'dotted')
)
args$title <- 'Propagating waves'
-arma.plot_nonlinear(file.path("build", "nit-propagating"), args)
+arma.plot_nonlinear(file.path("build", "arma-benchmarks", "verification-orig", "nit-propagating"), args)
args$title <- 'Standing waves'
-arma.plot_nonlinear(file.path("build", "nit-standing"), args)
+arma.plot_nonlinear(file.path("build", "arma-benchmarks", "verification-orig", "nit-standing"), args)
#+end_src
#+name: fig-nit
@@ -986,8 +986,8 @@ in wave height is small (table\nbsp{}[[tab-nit-error]]).
#+header:
#+begin_src R :results output org
source(file.path("R", "nonlinear.R"))
-propagating <- arma.print_wave_height(file.path("build", "nit-propagating"))
-standing <- arma.print_wave_height(file.path("build", "nit-standing"))
+propagating <- arma.print_wave_height(file.path("build", "arma-benchmarks", "verification-orig", "nit-propagating"))
+standing <- arma.print_wave_height(file.path("build", "arma-benchmarks", "verification-orig", "nit-standing"))
result <- data.frame(
h1=c(propagating$h1, standing$h1),
h2=c(propagating$h2, standing$h2),
@@ -1614,7 +1614,7 @@ col <- palette(nlevels-1)
# linear solver
par(fig=c(0,0.95,0,0.5),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_linear_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_linear_solver"),
levels=levels,
col=col
)
@@ -1622,7 +1622,7 @@ arma.plot_velocity_potential_field(
# high-amplitude solver
par(fig=c(0,0.95,0.5,1),new=TRUE)
arma.plot_velocity_potential_field(
- file.path("build", "plain_wave_high_amplitude_solver"),
+ file.path("build", "arma-benchmarks", "verification-orig", "plain_wave_high_amplitude_solver"),
levels=levels,
col=col
)
diff --git a/setup.org b/setup.org
@@ -60,1173 +60,6 @@
(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)
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-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)
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-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)
-
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-'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)
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-'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
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-fixed_point_iteration:Iteration=70, var_wn=0.0748578
-fixed_point_iteration:Iteration=71, var_wn=0.0747078
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-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
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-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)
-
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-'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)
-
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-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)
-
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-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)
-
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-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
@@ -1239,7 +72,7 @@ fi
cd $dir
git checkout master
git pull
-git checkout e478211f2682faabf32cf7a95cf21fb361ddcd48
+git checkout 7fee9b269c904b91163c596966e78b6f6d368d2e
#+end_src
#+RESULTS:
