Quadrature Rules Using Halton Points


These are some examples of "quadrature rules" based on multidimensional quasirandom Halton sequences.

A quadrature rule is a set of n points x and associated weights w so that the integral of a function f(x) over some particular region can be approximated by:

Integral f(x) dx = Sum ( 1 <= i <= n ) w(i) * f(x(i))

Using a random, pseudorandom, or quasirandom sequence can be regarded as a kind of quadrature rule in which the weight vector is 1/N.

For this directory, a quadrature rule is stored as three files, containing the weights, the points, and a file containing two points defining the corners of the rectangular region. The dimension of the region is deduced implicitly from the dimension of the points.

Related Data and Programs:

Sample Files:

"HALTON" (quasirandom) Quadrature Rules in 6D, defined on the [0,1] square: (we're regarding the QuasiMonte Carlo method as a sort of quadrature rule with all weights equal)

"HALTON" (quasirandom) Quadrature Rules in 10D, defined on the [0,1] square: (we're regarding the QuasiMonte Carlo method as a sort of quadrature rule with all weights equal)

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Last revised on 10 September 2007.