Handbook of Applied Optimization

Author:   Panos M. Pardalos (Professor and Director, Center for Applied Optimization, Industrial and Systems Engineering Department, University of Florida, Gainesville) ,  Mauricio G. C. Resende (Principal Research Scientist, AT&T Laboratories, New Jersey)
Publisher:   Oxford University Press Inc
ISBN:  

9780195125948


Pages:   1116
Publication Date:   01 March 2001
Format:   Hardback
Availability:   To order   Availability explained
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Handbook of Applied Optimization


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Overview

Optimization is an essential tool in every project in every large-scale organization, whether in business, industry, engineering, and science. In recent years, algorithmic advances and software and hardware improvements have given managers a powerful framework for making key decisions about everything from production planning to scheduling distribution. This comprehensive resource brings together in one volume the major advances in the field. Distinguished contributors focus on the algorithmic and computational aspects of optimization, particularly the most recent methods for solving a wide range of decision-making problems. The book is divided into three main sections: algorithms, covering every type of programming; applications, where computational tools are put to work solving tasks in planning, production, distribution, scheduling and other decisions in project management; and software, a comprehensive introduction to languages and systems. Designed as a practical resource for programmers and project planners and managers, it covers optimization problems in a wide range of settings, from the airline and aerospace industries to telecommunications, finance, health systems, biomedicine, and engineering.

Full Product Details

Author:   Panos M. Pardalos (Professor and Director, Center for Applied Optimization, Industrial and Systems Engineering Department, University of Florida, Gainesville) ,  Mauricio G. C. Resende (Principal Research Scientist, AT&T Laboratories, New Jersey)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 18.70cm , Height: 5.60cm , Length: 25.90cm
Weight:   2.145kg
ISBN:  

9780195125948


ISBN 10:   0195125940
Pages:   1116
Publication Date:   01 March 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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The editors draw on the expertise of researchers and application specialists from throughout the world. --Choice This reference provides a guide for applications specialists to the most important instruments and the major recent advances in the field of applied optimization. Pardalos (industrial and systems engineering, U. of Florida) and Resende (research scientist, AT&T Laboratories) present 26 chapters in which expert contributors discuss algorithms (linear, semidefinite, quadratic, nonlinear, stochastic, and integer programming), combinatorial optimization, deterministic global optimization, decomposition methods for mathematical programming, network and hierarchical optimization, artificial neural networks and parallel algorithms in optimization, complementary and related problems, data envelopment analysis, and randomization in discrete optimization. They also cover applications (problem types, application areas) and software. --SciTech Book News


The editors draw on the expertise of researchers and application specialists from throughout the world. --Choice This reference provides a guide for applications specialists to the most important instruments and the major recent advances in the field of applied optimization. Pardalos (industrial and systems engineering, U. of Florida) and Resende (research scientist, AT&T Laboratories) present 26 chapters in which expert contributors discuss algorithms (linear, semidefinite, quadratic, nonlinear, stochastic, and integer programming), combinatorial optimization, deterministic global optimization, decomposition methods for mathematical programming, network and hierarchical optimization, artificial neural networks and parallel algorithms in optimization, complementary and related problems, data envelopment analysis, and randomization in discrete optimization. They also cover applications (problem types, application areas) and software. --SciTech Book News


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