arma-thesis

git clone https://git.igankevich.com/arma-thesis.git
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commit af7977cd6efb0d7eab98c155569e2861bc907eec
parent bb970c5b4af097ecc1eec02653c5a7fe4221532c
Author: Ivan Gankevich <igankevich@ya.ru>
Date:   Mon, 12 Jun 2017 18:29:10 +0300

Add results.

Diffstat:
arma-thesis.org | 20++++++++++++--------
1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/arma-thesis.org b/arma-thesis.org @@ -2103,6 +2103,9 @@ approximation in Gram---Charlier series does not lead to such errors. * Numerical methods and experimental results ** The shape of ACF for different types of waves +:PROPERTIES: +:CUSTOM_ID: sec-wave-acfs +:END: **** Analytic method of finding the ACF. The straightforward way to find ACF for a given ocean wave profile is to apply Wiener---Khinchin theorem. According to this theorem the autocorrelation \(K\) of @@ -2675,16 +2678,20 @@ surface, three realisations were generated: - realisation with Gram---Charlier series based distribution, and - realisation with skew normal distribution. The seed of PRNG was set to be the same for all progrmme executions to make ARMA -model produce the same values for eahc realisation. Standing wave ACF was used -in the first experiment. +model produce the same values for each realisation. There we two experiments: on +for standing and one for propagating waves with ACFs similar to the ones in +section\nbsp{}[[#sec-wave-acfs]]. The results of the experiment are twofold: while the experiment showed that applying NIT with GCS-based distribution makes wave profiles steeper, the same -is not true for skew normal distribution (fig.\nbsp{}[[fig-nonlinear]]. Using this +is not true for skew normal distribution (fig.\nbsp{}[[fig-nonlinear]]). Using this distribution results in wavy surface each \(z\)-coordinate of which is always greater or equal to nought. So, skew normal distribution is unsuitable for NIT. -In addition to this, NIT did not change wave asymmetry as expected, but this can -be related to the fact that the wave is standing. +NIT increases the wave height of standing waves and decreases the wave height of +propagating waves. Since wave height depends on ACF, this is a consequence of +ACF being different for each wave type. For both wave types the wave steepness +is increased. Finally, increasing skewness parameter of GCS-based distribution +increases wave steepness, while increasing kurtosis increases the wave height. #+name: fig-nit #+header: :width 5 :height 5 :pointsize 8 @@ -2705,9 +2712,6 @@ arma.plot_nonlinear(file.path("build", "nit-standing"), args) #+RESULTS: fig-nit [[file:build/nit.pdf]] -In the second experiment the same benchmarks were repeated for propagating -waves. - *** Non-physical nature of ARMA model ARMA model, owing to its non-physical nature, does not have the notion of ocean wave; it simulates wavy surface as a whole instead. Motions of individual waves