Generalized Gaussian Quadratures and Singular Value Decompositions of Integral Operators.

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.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA309671

Entities

People

  • Norman Yarvin
  • Vladimir Rokhlin, Jr.

Organizations

  • Yale University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Bessel Functions
  • Chebyshev Polynomials
  • Equations
  • Gaussian Quadrature
  • Integral Equations
  • Integrals
  • Interpolation
  • Numbers
  • Numerical Analysis
  • Polynomials
  • Power Series
  • Precision
  • Real Numbers
  • Sequences
  • Theorems

Fields of Study

  • Mathematics

Readers

  • Computational Fluid Dynamics (CFD)
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Mathematical Modeling and Probability Theory.