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26 Aug 2008 (Updated )

Gauss-Hermite quadrature using tabulated abscissas and weights

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Numerical integration from -Inf to Inf of an integrand in the form f(x)*exp(-x^2)

f(x) must be a slowly varying function

fn_val = GaussHermite(func, npt, varargin)

func is a handle for f(x)

npt is the number of points at which f(x) is to be evaluated. A look-up table of abscissas and weights is used, so npt must be 2, 4, 6, 8, 10, 12, 16 or 20.

varargin contains any extra parameters for f

TestGaussHermite(k,b) tests the integration for f(x) = 1, x^2, cos(bx),
selected with k = 0, 1, 2 respectively.


Benbarrowes/F2matlab inspired this file.

MATLAB release MATLAB 7.6 (R2008a)
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