Numerical Integration
(→Gauss-Legendre Numerical Integration) |
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− | ! Number of points, ''p'' !! Points, ''xi''<sub>''i'' !! Weights, ''w''<sub>''i''</sub> | + | ! Number of points, ''p'' !! Points, ''&xi''<sub>''i'' !! Weights, ''w''<sub>''i''</sub> |
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Revision as of 11:28, 3 November 2009
Numerical integration refers to all the procedures, algorithms and techniques in the numerical analysis to obtain an approximate solution to a definite integral.
That is, how to obtain a numerical value of:
where can be a 1D, 2D or 3D domain.
For our interest in the Finite Element Method, the purpose is to describe how the element matrices can be integrated numerically.
Gauss-Legendre Numerical Integration
To fix the most basic concepts on Numerical Integration, we will focus our description on a one dimensional integration using the Gauss-Legendre quadrature, that is, to solve:
The Gauss-Legendre quadrature establish that the definite integral of a function can be approximate by using a weighted sum of function values at specified points within the domain of integration. An p-point Gaussian quadrature rule is constructed to yield an exact result for polynomials of degree 2p − 1 or less by a suitable choice of the points and weights
for
.
The coordinates and related weights are:
Number of points, p | Points, &xii | Weights, wi |
---|---|---|
1 | 0 | 2 |
2 | ![]() |
1 |
3 | 0 | 8⁄9 |
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5⁄9 | |
4 | ![]() |
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5 | 0 | 128⁄225 |
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References
- Carlos A. Felippa, "A compendium of FEM integration formulas for symbolic work", Engineering Computations, Vol. 21 No. 8, 2004, pp. 867-890, (c) Emerald Group Publishing Limited [1]
- Numerical Integration
- Gaussian Quadrature