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Introduction to Scientific Computing
FEATURES/BENEFITS
NEW—Upgraded to a MATLAB 5 level. NEW—Approximately 60 new problems., NEW—New sections on structure arrays, cell arrays, and how to produce more informative plots (Ch. 1). NEW—A brief treatment of trigonometric interpolation (Ch. 2)—A follow-up FFT solution to the problem is provided in Ch. 5). NEW—A brief discussion of sparse arrays (Ch. 5). Permits a limited study of sparse methods for linear equations and least squares in Chs. 6 and 7. NEW—Block matrix material—Now enriched with the use of cell arrays (Chs. 6-7). NEW—Orbit problem solutions—Now make use of simple structures (Ch. 8). Simplifies the presentation. NEW—More detailed coverage of "ode23" (Ch. 9). NEW—Website—Provides solutions to half the problems. Additional coverage of graphics. Numerical linear algebra—Permeates the entire presentation, beginning in Ch. 1. (This is a get-started-with-MATLAB tutorial, but is driven by examples that set the stage for the numerical algorithms that follow.) One important theorem covered per chapter. Motivational examples and related homework problems using MATLAB. Allows users to get a personal feel for algorithm strengths and weaknesses without the distraction of debugging the syntax of a compiled higher level language. An abundance of examples, packaged in 200+ M-files—The book revolves aroundexamples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Snapshots of advanced computing—In sections that deal with parallel adaptive quadrature and parallel matrix computations. Treatment of recursion includes divided differences, adaptive approximation, quadrature, the fast Fourier transform, Strassen matrix multiplication, and the Cholesky factorization.
NEW—Upgraded to a MATLAB 5 level. NEW—Approximately 60 new problems., NEW—New sections on structure arrays, cell arrays, and how to produce more informative plots (Ch. 1). NEW—A brief treatment of trigonometric interpolation (Ch. 2)—A follow-up FFT solution to the problem is provided in Ch. 5). NEW—A brief discussion of sparse arrays (Ch. 5). Permits a limited study of sparse methods for linear equations and least squares in Chs. 6 and 7. NEW—Block matrix material—Now enriched with the use of cell arrays (Chs. 6-7). NEW—Orbit problem solutions—Now make use of simple structures (Ch. 8). Simplifies the presentation. NEW—More detailed coverage of "ode23" (Ch. 9). NEW—Website—Provides solutions to half the problems. Additional coverage of graphics. Numerical linear algebra—Permeates the entire presentation, beginning in Ch. 1. (This is a get-started-with-MATLAB tutorial, but is driven by examples that set the stage for the numerical algorithms that follow.) One important theorem covered per chapter. Motivational examples and related homework problems using MATLAB. Allows users to get a personal feel for algorithm strengths and weaknesses without the distraction of debugging the syntax of a compiled higher level language. An abundance of examples, packaged in 200+ M-files—The book revolves aroundexamples that are packaged in 200+ M-files, which, collectively, communicate all the key mathematical ideas and an appreciation for the subtleties of numerical computing. Snapshots of advanced computing—In sections that deal with parallel adaptive quadrature and parallel matrix computations. Treatment of recursion includes divided differences, adaptive approximation, quadrature, the fast Fourier transform, Strassen matrix multiplication, and the Cholesky factorization.
Paperback
First published August 16, 1996
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