Algorithms of Numerical-spectral Methods for Modeling Stochastic Dynamical Systems

K.A. Rybakov
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Abstract

Representations of iterated Stratonovich and Ito stochastic integrals are obtained on the basis of the spectral form of mathematical description, they have both theoretical and practical significance. The latter is due to the possibility of constructing quite simple algorithms for the approximate modeling iterated stochastic integrals, which are necessary for the implementation of numerical methods for solving stochastic differential equations. The use of spectral representations of iterated stochastic integrals in numerical methods forms the numerical-spectral methods. Algorithms for them are presented in the form of programs for the computer algebra system Mathcad.

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随机动力系统建模的数值-谱方法算法
< >基于谱形式的数学描述,得到了迭代的Stratonovich和Ito随机积分的表示,具有理论和实际意义。后者是由于可以为近似建模迭代随机积分构造相当简单的算法,这对于实现求解随机微分方程的数值方法是必要的。在数值方法中使用迭代随机积分的谱表示形成了数值-谱方法。它们的算法以计算机代数系统Mathcad的程序形式给出。</p>
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