On Solving a System of Volterra Integral Equations with Relaxed Monte Carlo Method

نویسندگان

  • Zhimin Hong
  • Xiangzhong Fang
  • Zaizai Yan
  • Hui Hao
چکیده

A random simulation method was used for treatment of systems of Volterra integral equations of the second kind. Firstly, a linear algebra system was obtained by discretization using quadrature formula. Secondly, this algebra system was solved by using relaxed Monte Carlo method with importance sampling and numerical approximation solutions of the integral equations system were achieved. It is theoretically proved that the validity of relaxed Monte Carlo method is based on importance sampling to solve the integral equations system. Finally, some numerical examples from literatures are given to show the efficiency of the method.

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تاریخ انتشار 2016