Optimization in Industry: Volume 1, Optimization Techniques
Autor T. a. J. Nicholsonen Limba Engleză Paperback – 15 dec 2007
In this first volume, T. A. J. Nicholson demonstrates the full range of techniques available to the practitioner for the solution of varying problems. For each technique, the background reasoning behind its development is explained in simple terms; where helpful it is supported by a geometrical argument; and the iterative algorithm for finding the optimum is defined clearly. These steps enable the reader not only to see plainly what is happening in the method but also to reach a level of understanding necessary to write computer programs for optimization techniques.
Problems are tackled in the same way--by searching a feasible region for an optimum. This approach helps the reader to develop the most essential of all skills--selecting appropriate techniques for different circumstances. The numerous worked examples in the text, supported by worked solutions, and the exercises at the end of the chapters are important aids to learning and to teachers. This book serves as an introduction to optimization techniques for students as well as a reference work for the practitioner in business and industry.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 404.08 lei 6-8 săpt. | |
Taylor & Francis – 15 dec 2007 | 404.08 lei 6-8 săpt. | |
Taylor & Francis – 15 ian 2008 | 406.90 lei 6-8 săpt. | |
Hardback (2) | 980.00 lei 6-8 săpt. | |
Taylor & Francis – 13 iul 2017 | 980.00 lei 6-8 săpt. | |
Taylor & Francis – 13 iul 2017 | 980.00 lei 6-8 săpt. |
Preț: 404.08 lei
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Specificații
ISBN-13: 9780202309651
ISBN-10: 0202309657
Pagini: 236
Ilustrații: 1
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.36 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
ISBN-10: 0202309657
Pagini: 236
Ilustrații: 1
Dimensiuni: 152 x 229 x 14 mm
Greutate: 0.36 kg
Ediția:1
Editura: Taylor & Francis
Colecția Routledge
Locul publicării:Oxford, United Kingdom
Cuprins
Preface 1 The study of optimization 2 Mathematical background 3 Optimization problems and methods 4 Calculus and Lagrange multipliers 5 Linear programming 6 Optimization of non-linear functions 7 Dynamic programming 8 Branch and bound methods 9 Permutation procedures 10 Heuristic techniques 11 Problem specification and mathematical treatment
Descriere
As optimization techniques have developed, a gap has arisen between the people devising the methods and the people who actually need to use them