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Compact Numerical Methods for Computers
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Compact Numerical Methods for Computers : Linear Algebra and Function Minimisation

Book Details

Format Paperback / Softback
ISBN-10 085274319X
ISBN-13 9780852743195
Publisher Taylor & Francis Ltd
Imprint Institute of Physics Publishing
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 1st, 1990
Print length 290 Pages
Weight 521 grams
Ksh 12,050.00
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Designed to help people solve numerical problems on small computers, this book's main subject areas are numerical linear algebra, function minimization and root-finding. This edition has been revised and updated, the main difference being that the algorithms are presented in Turbo Pascal.
This second edition of Compact Numerical Methods for Computers presents reliable yet compact algorithms for computational problems. As in the previous edition, the author considers specific mathematical problems of wide applicability, develops approaches to a solution and the consequent algorithm, and provides the program steps. He emphasizes useful applicable methods from various scientific research fields, ranging from mathematical physics to commodity production modeling. While the ubiquitous personal computer is the particular focus, the methods have been implemented on computers as small as a programmable pocket calculator and as large as a highly parallel supercomputer.

New to the Second Edition
  • Presents program steps as Turbo Pascal code
  • Includes more algorithmic examples
  • Contains an extended bibliography

    The accompanying software (available by coupon at no charge) includes not only the algorithm source codes, but also driver programs, example data, and several utility codes to help in the software engineering of end-user programs. The codes are designed for rapid implementation and reliable use in a wide variety of computing environments. Scientists, statisticians, engineers, and economists who prepare/modify programs for use in their work will find this resource invaluable. Moreover, since little previous training in numerical analysis is required, the book can also be used as a supplementary text for courses on numerical methods and mathematical software.

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