Quadrature of the absolute value of a function
Given a set x of discrete points in 1D and a set of values y=f(x) at these points, a Matlab function trapz(x,abs(y)) provides a quadrature based on a piece-wise linear interpolation of a function f (known as the trapezoidal rule).
Our new function trapzAbs(x,y) detects intervals (x_i, x_{i+1}), where y(x_i)*y(x_{i+1))>0 and applies the regula falsi method and integrates the absolute value of the linear interpolant exactly. Consequently, the approximation of the solution f(x)=0 is provided.
In 2D, this idea it generalized for a P1 approximation (a piecewise affine and globally continuous function know the the finite element method), defined of given triangulation. Then, triangles with vertices v1=(x1,y1), v2=(x2,y2), v3=(x3,y3) satisfying f(v1)*f(v2)*f(v3) >0 are detected and the integral of the absolute value of the function is computed exactly. Similarly, the approximation of the solution f(x,y)=0 is provided.
Our focus is to integrate the absolute value (or its branches) of a given P1 approximation in 1D and 2D exactly.
To test the code, run
example_1D or comparison_1D or example_2D or comparison_2D.
The ideas will be explained in the forthcoming Bc. thesis of Jiri Kadlec written under the supervision of Jan Valdman at the University of South Bohemia in Ceske Budejovice.
Citation pour cette source
Jan Valdman (2024). Quadrature of the absolute value of a function (https://www.mathworks.com/matlabcentral/fileexchange/54183-quadrature-of-the-absolute-value-of-a-function), MATLAB Central File Exchange. Extrait(e) le .
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A inspiré : Two-phase obstacle problem in 2D and its aposteriori error estimate
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Version | Publié le | Notes de version | |
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1.1 | Now, trapzAbs(x,y) does not depend on trapzMinus and trapzPlus function and it is therefore faster. |
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1.0.0.0 |