feynman_kac_2d


feynman_kac_2d, a C code which demonstrates the use of the Feynman-Kac algorithm to solve Poisson's equation in a 2D ellipse by averaging stochastic paths to the boundary.

The program is intended as a simple demonstration of the method. The main purpose is to have a version that runs sequentially, so that it can be compared to versions which have been enhanced using parallel programming techniques.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Languages:

feynman_kac_2d is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version.

Related Data and Programs:

FEYNMAN_KAC_1D, a C code which demonstrates the use of the Feynman-Kac algorithm to solve Poisson's equation in a 1D interval by averaging stochastic paths to the boundary.

feynman_kac_2d_test

FEYNMAN_KAC_3D, a C code which demonstrates the use of the Feynman-Kac algorithm to solve Poisson's equation in a 3D ellipsoid by averaging stochastic paths to the boundary.

SDE, a MATLAB library which solves certain stochastic differential equations.

STOCHASTIC_RK, a C code which applies a Runge-Kutta scheme to a stochastic differential equation.

Reference:

  1. Peter Arbenz, Wesley Petersen,
    Introduction to Parallel Computing - A practical guide with examples in C,
    Oxford University Press,
    ISBN: 0-19-851576-6,
    LC: QA76.58.P47.

Source Code:


Last revised on 26 June 2019.