The numerical solution of Fokker–Planck equation with radial basis functions (RBFs) based on the meshless technique of Kansa׳s approach and Galerkin method-Reference-Cited by-同舟云学术

The numerical solution of Fokker–Planck equation with radial basis functions (RBFs) based on the meshless technique of Kansa׳s approach and Galerkin method

Published:2014-10 Issue: Volume:47 Page:38-63
ISSN:0955-7997
Container-title:Engineering Analysis with Boundary Elements
language:en
Short-container-title:Engineering Analysis with Boundary Elements

Author:

Dehghan Mehdi,Mohammadi Vahid

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Engineering,Analysis

Reference113 articles.

1. A numerical method for solving linear integral equations of the second kind on the non-rectangular domains based on the meshless method;Assari;Appl Math Model,2013

2. Computing the survival probability density function in jump-diffusion models;Ballestra;Eng Anal Bound Elem,2011

3. A radial basis function approach to compute the first-passage probability density function in two-dimensional jump-diffusion models for financial and other applications;Ballestra;Eng Anal Bound Elem,2012

4. Pricing European and American options with two stochastic factors;Ballestra;J Econ Dyn Control,2013

5. RBF-FD formulas and convergence properties;Bayona;J Comput Phys,2010

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