Derivation of stochastic Taylor methods for stochastic differential equations

This paper demonstrates a derivation of stochastic Taylor methods for stochastic differential equations (SDEs). The stochastic Taylor series is extended and truncated at certain terms to achieve the order of convergence of stochatsic Taylor methods for SDEs. The systematic derivation of the expansio...

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Main Authors: Noor Amalina Nisa, Ariffin, Norhayati, Rosli
格式: Article
語言:English
出版: Penerbit UTM Press 2017
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在線閱讀:http://umpir.ump.edu.my/id/eprint/20729/1/mjfas.pdf
http://umpir.ump.edu.my/id/eprint/20729/
https://mjfas.utm.my/index.php/mjfas/article/view/633/pdf
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總結:This paper demonstrates a derivation of stochastic Taylor methods for stochastic differential equations (SDEs). The stochastic Taylor series is extended and truncated at certain terms to achieve the order of convergence of stochatsic Taylor methods for SDEs. The systematic derivation of the expansion of stochastic Taylor series formula is presented. Numerical methods of Euler, Milstein scheme and stochastic Taylor methods of order 2.0 are proposed.