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Compact Numerical Methods for Computers
Linear Algebra and Function Minimisation
Udgivet af Taylor & Francis Ltd
ISBN
9780852743195
Om denne bog
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 prog…
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Bogdetaljer
Forfatter
John C. Nash
Forlag
Taylor & Francis Ltd
Kategori
Algebra
ISBN-13
9780852743195
EAN
9780852743195
Format
Hæftet
Sprog
Engelsk
sider
290
Undertitel
- Linear Algebra and Function Minimisation
Produktbeskrivelse
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 EditionPresents program steps as Turbo Pascal codeIncludes more algorithmic examplesContains an extended bibliographyThe 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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