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