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Math and StatisticsNumerical Mathematics

Generalized Gaussian Quadratures and Singular Value Decompositions of Integral Operators

Authors: Vladimir Rokhlin; Norman Yarvin; YALE UNIV NEW HAVEN CT DEPT OF COMPUTER SCIENCE
 
Abstract: Generalized Gaussian quadratures appear to have been introduced by Markov late in the last century, and have been studied in great detail as a part of modern analysis. They have not been widely used as a computational tool, in part due to absence of effective numerical schemes for their construction. Recently, a numerical scheme was introduced for the design of such quadratures; numerical results presented indicate that such quadratures dramatically reduce the computational cost of the evaluation of integrals under certain conditions. In this paper, we modify the approach, improving the stability of the scheme and extending its range of applicability. The performance of the method is illustrated with several numerical examples.

Limitations: APPROVED FOR PUBLIC RELEASE DOCUMENT PARTIALLY ILLEGIBLE
Description: Research rept.
Pages: 44
Report Date: MAY 96
Contract Number: F49620-93-1-0575, $N00014-89-J
Report Number: A176903
Keywords relating to this report:
*ALGORITHMS
*GAUSSIAN QUADRATURE
ACCURACY
APPROXIMATION_MATHEMATICS_
BESSEL FUNCTIONS
CHEBYSHEV POLYNOMIALS
CONVERGENCE
EXPONENTIAL FUNCTIONS
INTEGRAL TRANSFORMS
INTERPOLATION
LEGENDRE FUNCTIONS
MATHEMATICAL PROGRAMMING
MATRICES_MATHEMATICS_
NUMERICAL INTEGRATION
NUMERICAL QUADRATURE
OPERATORS_MATHEMATICS_
SYSTEMS ANALYSIS
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