1992
DOI: 10.1145/131766.131772
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Algorithm 706: DCUTRI: an algorithm for adaptive cubature over a collection of triangles

Abstract: An adaptive algorlthm for computing an approximation to the integral of each element in a vector function N x, y) over a two-dimensional region made UP of triangles is presented. A FORTRAN implementation of the algorithm is included. The basic cubature rule used over each triangle is a 37-point symmetric rule of degree 13. Based on the same evaluation points the local error for each element in the approximation vector and for each triangle is computed using a sequence of null rule evaluations. A sophisticated … Show more

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Cited by 37 publications
(24 citation statements)
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“…The numerical integration algorithm that we have developed constructs a quadrature rule over each finite element that satisfies a given error tolerance for all the above integrands. Adaptive integration schemes are normally recursive in nature and have a few common ingredients: a quadrature rule that can be applied to the integration domain to provide a local estimate of the integral; a procedure to estimate the local integration error; a strategy to partition the integration domain into smaller divisions of the same shape; and a stopping criterion [98][99][100]. Our quadrature construction algorithm is specifically designed for high accuracy on parallelepipeds.…”
Section: Adaptive Quadraturementioning
confidence: 99%
“…The numerical integration algorithm that we have developed constructs a quadrature rule over each finite element that satisfies a given error tolerance for all the above integrands. Adaptive integration schemes are normally recursive in nature and have a few common ingredients: a quadrature rule that can be applied to the integration domain to provide a local estimate of the integral; a procedure to estimate the local integration error; a strategy to partition the integration domain into smaller divisions of the same shape; and a stopping criterion [98][99][100]. Our quadrature construction algorithm is specifically designed for high accuracy on parallelepipeds.…”
Section: Adaptive Quadraturementioning
confidence: 99%
“…Define fo(fo ) (1) lrz(f) = f(x, y)dy dx = f(x, y)dxdy. 2 With f equal to the function given in the first 3 examples (with a, b > 0 in the cases 1.…”
Section: ((Ax + By)/(cx +mentioning
confidence: 99%
“…We will discuss how to compute numerical estimates to integration problems of type (1), where the function involved, f , is a product of a homogeneous function f α (x 1 , x 2 , . .…”
Section: Homogeneous Functions: Basic Error Expansionmentioning
confidence: 99%