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A Numerical Comparison of Finite Difference and Finite Element Methods for a Stochastic Differential Equation with Polynomial Chaos

Published online by Cambridge University Press:  28 May 2015

Ning Li
Affiliation:
College of Mathematics and Systems Science, Xinjiang University, Urumqi 830046, P.R. China
Bo Meng
Affiliation:
College of Mathematics and Systems Science, Xinjiang University, Urumqi 830046, P.R. China
Xinlong Feng
Affiliation:
College of Mathematics and Systems Science, Xinjiang University, Urumqi 830046, P.R. China
Dongwei Gui*
Affiliation:
State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830001; Cele National Station of Observation & Research for Desert-Grassland Ecosystem in Xinjiang, Cele 848300, Xinjiang, P.R. China.
*
*Corresponding author. Email addresses: [email protected] (N. Li), [email protected] (B. Meng), [email protected] (X. Feng), [email protected] (D. Gui)
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Abstract

A numerical comparison of finite difference (FD) and finite element (FE) methods for a stochastic ordinary differential equation is made. The stochastic ordinary differential equation is turned into a set of ordinary differential equations by applying polynomial chaos, and the FD and FE methods are then implemented. The resulting numerical solutions are all non-negative. When orthogonal polynomials are used for either continuous or discrete processes, numerical experiments also show that the FE method is more accurate and efficient than the FD method.

Type
Research Article
Copyright
Copyright © Global-Science Press 2015 

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