TETRAHEDRON_MONTE_CARLO
Monte Carlo Integral Estimates over a Tetrahedron


TETRAHEDRON_MONTE_CARLO is a MATLAB library which estimates the integral of a function over a tetrahedron using the Monte Carlo method.

The library makes it relatively easy to compare different methods of producing sample points in the tetrahedron, and to vary the tetrahedron over which integration is carried out.

Licensing:

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

Related Data and Programs:

FELIPPA is a MATLAB library which defines quadrature rules for lines, triangles, quadrilaterals, pyramids, wedges, tetrahedrons and hexahedrons.

GM_RULES is a MATLAB library which defines Grundmann-Moeller rules for quadrature over a triangle, tetrahedron, or general M-dimensional simplex.

KEAST is a MATLAB library which defines a number of quadrature rules for a tetrahedron.

NCC_TETRAHEDRON is a MATLAB library which defines Newton-Cotes Closed quadrature rules on a tetrahedron.

NCO_TETRAHEDRON is a MATLAB library which defines Newton-Cotes Open quadrature rules on a tetrahedron.

NINT_EXACTNESS_TET is a MATLAB program which investigates the polynomial exactness of a quadrature rule for the tetrahedron.

RANDOM_DATA, a MATLAB library which generates sample points for various probability distributions, spatial dimensions, and geometries;

STROUD is a MATLAB library which defines quadrature rules for a variety of multidimensional reqions.

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

TRIANGLE_MONTE_CARLO, a MATLAB program which uses the Monte Carlo method to estimate integrals over a triangle.

Reference:

  1. Claudio Rocchini, Paolo Cignoni,
    Generating Random Points in a Tetrahedron,
    Journal of Graphics Tools,
    Volume 5, Number 4, 2000, pages 9-12.
  2. Reuven Rubinstein,
    Monte Carlo Optimization, Simulation and Sensitivity of Queueing Networks,
    Krieger, 1992,
    ISBN: 0894647644,
    LC: QA298.R79.
  3. Greg Turk,
    Generating Random Points in a Triangle,
    in Graphics Gems I,
    edited by Andrew Glassner,
    AP Professional, 1990,
    ISBN: 0122861663,
    LC: T385.G697

Source Code:

Examples and Tests:

You can go up one level to the MATLAB source codes.


Last revised on 16 August 2009.