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Heath 2/e, presents a broad overview of numerical methods for solving all the major problems in scientific computing, including linear and nonlinear equations, least squares, eigenvalues, optimization, interpolation, integration, ordinary and partial differential equations, fast Fourier transforms, and random number generators. The treatment is comprehensive yet concise, ...more
Hardcover, 576 pages
Published July 17th 2001 by McGraw-Hill Education
(first published December 1st 1996)
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Jul 15, 2008 Dr M rated it liked it · review of another edition
Recommends it for: scientists, engineers
The subtitle to Heath's book on numerical methods for scientific computing is "an Introductory Survey". This is almost an auto-review. Brevity is simultaneously the book's strength and its weakness. Scientific Computing is not so much a comprehensive textbook as a collection of introductions to the central ideas of the most important, elementary numerical methods for linear algebra, calculus, differential equations and non-linear equations. As such it is a splendid work to turn to when you need ...more
This is not a bad text book. It covers a lot of material and is pretty general. However there are also a lot of examples to help make things concrete. My only compliant was there are a good number of typos. Since this is the sort of thing I don't normally notice I figure there must be a lot more than I saw.
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