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Handbook of Applied Optimization
 
 
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Handbook of Applied Optimization [Hardcover]

Panos M. Pardalos (Editor), Mauricio G. C. Resende (Editor)
5.0 out of 5 stars  See all reviews (1 customer review)

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Book Description

0195125940 978-0195125948 February 22, 2002 1
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.

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Editorial Reviews

Review

"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, ATandT 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

About the Author

Panos M. Pardalos is at University of Florida, Gainesville. Mauricio G. C. Resende is at ATandT Laboratories, New Jersey.

Product Details

  • Hardcover: 2026 pages
  • Publisher: Oxford University Press, USA; 1 edition (February 22, 2002)
  • Language: English
  • ISBN-10: 0195125940
  • ISBN-13: 978-0195125948
  • Product Dimensions: 10.1 x 7.3 x 2.4 inches
  • Shipping Weight: 4.8 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,340,598 in Books (See Top 100 in Books)

 

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2 of 6 people found the following review helpful:
5.0 out of 5 stars A must have!!!, December 6, 2004
This review is from: Handbook of Applied Optimization (Hardcover)
This massive book is the best compilation on optimization algorithms I've seen so far. All chapters are authoritatively written and up to date. A great job by the editors, Dr. Pardalos (one of the greatest authorities in Combinatorial Optimization) and Dr. Resende (the creator of GRASP).
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Inside This Book (learn more)
First Sentence:
ABSTRACT Linear programming (LP) is the fundamental problem in mathematical optimization. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
nonserial systems, nontree arc, average wirelength, cut optimality conditions, backbone network design, convex relaxation methods, model decomposition algorithms, path optimality conditions, capacity scaling algorithm, crew pairing problem, optimization modeling languages, augmenting path algorithm, admissible pivots, multicommodity network flow problems, quadratic penalty method, callable packages, extragradient method, steamer problem, column generation subproblem, fleet assignment problem, inventory balance constraints, bilevel programming problem, concentrator location problem, diversification generation method, general integer programming problems
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Kluwer Academic Publishers, Mgmnt Sci, John Wiley, Global Optim, The Netherlands, International Conference, American Mathematical Society, Englewood Cliffs, Engng Chem, Theory Appl, Monte Carlo, Discrete Appl, Discrete Math, Rinnooy Kan, Control Optim, New Zealand, Oxford University Press, Princeton University Press, International Symposium, Kluwer Book Series, Prentice Hall, Programming Study, Stanford University, United States
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This book cites 58 books:
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29 books cite this book:
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