NASA Technical Note

NASA Technical Note
Author:
Publisher:
Total Pages: 542
Release: 1975
Genre:
ISBN:

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Applied Mechanics Reviews

Applied Mechanics Reviews
Author:
Publisher:
Total Pages: 990
Release: 1976
Genre: Mechanics, Applied
ISBN:

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Solving Problems in Scientific Computing Using Maple and MATLAB®

Solving Problems in Scientific Computing Using Maple and MATLAB®
Author: Walter Gander
Publisher: Springer Science & Business Media
Total Pages: 479
Release: 2011-06-27
Genre: Computers
ISBN: 3642188737

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Teaches problem-solving using two of the most important mathematical software packages: Maple and MATLAB. This new edition contains five completely new chapters covering new developments.

A Software Repository for Gaussian Quadratures and Christoffel Functions

A Software Repository for Gaussian Quadratures and Christoffel Functions
Author: Walter Gautschi
Publisher: SIAM
Total Pages: 152
Release: 2020-10-30
Genre: Mathematics
ISBN: 1611976359

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This companion piece to the author’s 2018 book, A Software Repository for Orthogonal Polynomials, focuses on Gaussian quadrature and the related Christoffel function. The book makes Gauss quadrature rules of any order easily accessible for a large variety of weight functions and for arbitrary precision. It also documents and illustrates known as well as original approximations for Gauss quadrature weights and Christoffel functions. The repository contains 60+ datasets, each dealing with a particular weight function. Included are classical, quasi-classical, and, most of all, nonclassical weight functions and associated orthogonal polynomials. Scientists, engineers, applied mathematicians, and statisticians will find the book of interest.

Computational Integration

Computational Integration
Author: Arnold R. Krommer
Publisher: SIAM
Total Pages: 464
Release: 1998-01-01
Genre: Mathematics
ISBN: 9781611971460

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This survey covers a wide range of topics fundamental to calculating integrals on computer systems and discusses both the theoretical and computational aspects of numerical and symbolic methods. It includes extensive sections on one- and multidimensional integration formulas, like polynomial, number-theoretic, and pseudorandom formulas, and deals with issues concerning the construction of numerical integration algorithms.