scispace - formally typeset
Book ChapterDOI

A Survey of Gauss-Christoffel Quadrature Formulae

Reads0
Chats0
TLDR
A survey of Gauss-Christoffel quadrature formulae can be found in this paper, with a discussion of the error and convergence theory of the quadratures.
Abstract
We present a historical survey of Gauss-Christoffel quadrature formulae, beginning with Gauss’ discovery of his well-known method of approximate integration and the early contributions of Jacobi and Christoffel, but emphasizing the more recent advances made after the emergence of powerful digital computing machinery. One group of inquiry concerns the development of the quadrature formula itself, e.g. the inclusion of preassigned nodes and the admission of multiple nodes, as well as other generalizations of the quadrature sum. Another is directed towards the widening of the class of integrals made accessible to Gauss-Christoffel quadrature. These include integrals with nonpositive measures of integration and singular principal value integrals. An account of the error and convergence theory will also be given, as well as a discussion of modern methods for generating Gauss-Christoffel formulae, and a survey of numerical tables.

read more

Citations
More filters
Journal ArticleDOI

Is Gauss Quadrature Better than Clenshaw-Curtis?

TL;DR: Comparisons of the convergence behavior of Gauss quadrature with that of its younger brother, Clenshaw-Curtis are compared, and experiments show that the supposed factor-of-2 advantage of Gaussian quadratures is rarely realized.
Book

Handbook of Continued Fractions for Special Functions

TL;DR: This handbook is a systematic study of continued fraction representations for special functions and it is emphasised that only 10% of the continued fractions contained in this book, can also be found in the Abramowitz and Stegun project or at the Wolfram website!
Journal ArticleDOI

Some large-scale matrix computation problems

TL;DR: A practical numerical algorithm for bounding the bilinear form, where the matrix A is only referenced through matrix-vector multiplications is studied and a Monte Carlo method is presented to efficiently estimate the trace of the inverse and the determinant of a large sparse matrix.
ReportDOI

Numerical Solution of Singular Integral Equations.

Frank Stenger
TL;DR: In this paper, the authors have developed methods for solving integral equations which work well in spite of the presence of singularities, in which the new approximation methods which were developed do work well for singularities.
References
More filters
Book

Numerical Analysis

TL;DR: This report contains a description of the typical topics covered in a two-semester sequence in Numerical Analysis, and describes the accuracy, efficiency and robustness of these algorithms.
Book

Linear Algebra

Book

Linear Algebra