arma-thesis

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

commit 201bfbe22ec2fd43d4de9c800816d3d87201b083
parent ec11b97d5678d3fe4bc9dc9a3b1555274dc8ebc9
Author: Ivan Gankevich <igankevich@ya.ru>
Date:   Thu, 10 Nov 2016 11:21:16 +0300

Edit related work.

Diffstat:
phd-diss-ru.org | 1+
phd-diss.org | 32+++++++++++++++++++++++++++++++-
2 files changed, 32 insertions(+), 1 deletion(-)

diff --git a/phd-diss-ru.org b/phd-diss-ru.org @@ -1291,6 +1291,7 @@ exit | <<<СС>>> | процесс скользящего среднего | | <<<ЛХ>>> | модель Лонге---Хиггинса | | <<<LAMP>>> | Large Amplitude Motion Programme, программа для моделирования качки судна на морских волнах | +| <<<ЦПТ>>> | центральная предельная теорема | #+begin_latex \input{postamble} diff --git a/phd-diss.org b/phd-diss.org @@ -232,6 +232,35 @@ Coefficients $c_n$ are derived from wave energy spectrum $S(\omega)$ via \end{equation*} *** Disadvantages of Longuet-Higgins model +Although LH model is simple and easy to understand, there are shortcomings one +should be aware of. + +1. LH model simulates only stationary Gaussian process. This is consequence of + central limit theorem (CLT): sum of large number of sines with random + amplitudes and phases has normal distribution, no matter what spectrum is + used as the model input. Using lower number of coefficients may solve the + problem, but it makes realisation periodic. So, using LH model to simulate + waves with non-Gaussian distribution of elevation --- a distribution which + real ocean waves have cite:huang1980experimental,рожков1996теория --- is + impractical. +2. From computational point of view, the deficiency of the model is non-linear + increase of wavy surface generation time with the increase of realisation + size. The larger the size of the realisation, the higher number of + coefficients (discrete points of frequency-directional spectrum) is needed to + eliminate periodicity. This makes LH model inefficient for long-time + simulations. +3. Finally, there are peculiearities which make LH model unsuitable base for + building more advanced simulation models. + - In software implementation convergence rate of ([[eq:longuet-higgins]]) may be + low due to randomness of phases $\epsilon_n$. + - It is difficult to generalise LH model for non-Gaussian processes as it + involves incorporating non-linear terms in ([[eq:longuet-higgins]]) for which + there is no known formula to determine coefficients + cite:рожков1990вероятностные. + +To summarise, LH model is linear, computationally inefficient for long-time +simiualtions, and difficult to use as a base for more advanced models. + *** ARMA model in ocean sciences cite:mignolet1992simulation,spanos1982arma,spanos1983arma @@ -732,12 +761,13 @@ stationary and MA model parameters finding algorithm to converge. | <<<PRNG>>> | pseudo-random number generator | | <<<BC>>> | boundary condition | | <<<PDE>>> | partial differential equation | -| <<<NIT>>> | non-linear inertia-less transform | +| <<<NIT>>> | non-linear inertia-less transform | | <<<AR>>> | autoregressive process | | <<<ARMA>>> | autoregressive moving average process | | <<<MA>>> | moving average process | | <<<LH>>> | Longuet---Higgins model | | <<<LAMP>>> | Large Amplitude Motion Programme, a programme that simulates ship behaviour in ocean waves | +| <<<CLT>>> | central limit theorem | #+begin_latex \input{postamble}