NINTLIB
Multi-dimensional quadrature


NINTLIB, a MATLAB library which estimates integrals over multi-dimensional regions.

Please note that these routines are simple and academic. A good program for computing an integral in multiple dimensions must include error estimation and adaptivity. Simple straightforward approaches to reducing the error will cause a ruinous explosion in the number of function evaluations required.

Licensing:

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

Languages:

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

Related Data and Programs:

INTEGRAL_TEST, a FORTRAN90 program which tests the suitability of a set of N points for use in an equal-weight quadrature rule over the multi-dimensional unit hypercube.

INTLIB, a FORTRAN90 library which estimates the integral of a function over a one-dimensional interval.

NINT_EXACTNESS, a MATLAB program which demonstrates how to measure the polynomial exactness of a multidimensional quadrature rule.

nintlib_test

PRODUCT_RULE, a MATLAB program which can create a multidimensional quadrature rule as a product of one dimensional rules.

QUADRATURE_TEST, a MATLAB program which reads the definition of a multidimensional quadrature rule from three files, applies the rule to a number of test integrals, and prints the results.

QUADRULE, a MATLAB library which defines a variety of (mostly 1-dimensional) quadrature rules.

QUADRULE_FAST, a MATLAB library which defines efficient versions of a few 1D quadrature rules.

STROUD, a MATLAB library which defines quadrature rules over various "interesting" geometric shapes.

TEST_INT_2D, a MATLAB library which defines test integrands for 2D quadrature rules.

TEST_NINT, a MATLAB library which tests multi-dimensional quadrature routines.

TESTPACK, a MATLAB library which defines a set of integrands used to test multidimensional quadrature.

Reference:

  1. Philip Davis, Philip Rabinowitz,
    Methods of Numerical Integration,
    Second Edition,
    Dover, 2007,
    ISBN: 0486453391,
    LC: QA299.3.D28.

Source Code:


Last revised on 15 February 2019.