Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation

Nash, J.C.

ISBN 10: 085274319X / ISBN 13: 9780852743195

Edité par United Kingdom: Inst of Physics Pub Inc [hilger], 1990

A propos de cet article

2nd edition soft cover in near fine condition,original book.

N° de réf. du vendeur 127597

Détails bibliographiques

• Titre: Compact Numerical Methods for Computers: Linear Algebra and Function Minimisation
• Éditeur: United Kingdom: Inst of Physics Pub Inc [hilger]
• Date de parution: 1990
• Langue: anglais
• ISBN à 10 chiffres: 085274319X
• ISBN à 13 chiffres: 9780852743195
• Reliure: Soft cover
• Édition: 2nd Edition
• État de l'article: Near Fine
• Catalogues du vendeur:
  • computer science
  • mathematics

A propos de ce titre

Synopsis

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.

À propos de l?auteur

John C. Nash