rombergQuadrature

Computes integral of vector functions using Romberg quadrature.
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Mise à jour 1 mars 2016

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% [x, err] = rombergQuadrature(fun,tSpan,tol)
%
% Compute the integral(fun), over the domain tSpan, to an accuracy of tol,
% using Romberg quadrature. Fully vectorized.
%
% Good for high-accuracy quadrature over smooth vector functions.
%
% If necessary, this function will automatically sub-divide the interval to
% achieve the desired accuracy. This should only occur when fun is stiff or
% non-smooth.
%
% INPUTS:
% fun = vector function to be integrated
% dx = fun(t)
% t = [1, nt] = time vector
% dx = [nx, nt] = function value at each point in t
% tSpan = [tLow, tUpp] = time span (domain) for integration
% tol = [nx,1] = desired error tolerance along each dimension
%
% OUTPUT:
% x = [nx,1] = integral along each dimension
% err = [nx, 1] = error estimate along each dimension
%
% NOTES:
% algorithm from:
% http://www.math.usm.edu/lambers/mat460/fall09/lecture29.pdf
%

Citation pour cette source

Matthew Kelly (2024). rombergQuadrature (https://www.mathworks.com/matlabcentral/fileexchange/55703-rombergquadrature), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2012a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Numerical Integration and Differential Equations dans Help Center et MATLAB Answers

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Version Publié le Notes de version
1.1.0.0

Now the rombergQuadrature automatically detects a non-smooth integrand and sub-divides the interval to achieve the desired accuracy.

1.0.0.0