Handbook of Applied Optimization

Hardcover (Print)
Used and New from Other Sellers
Used and New from Other Sellers
from $390.32
Usually ships in 1-2 business days
Other sellers (Hardcover)
  • All (1) from $390.32   
  • New (1) from $390.32   
Close
Sort by
Page 1 of 1
Showing All
Note: Marketplace items are not eligible for any BN.com coupons and promotions
$390.32
Seller since 2010

Feedback rating:

(206)

Condition:

New — never opened or used in original packaging.

Like New — packaging may have been opened. A "Like New" item is suitable to give as a gift.

Very Good — may have minor signs of wear on packaging but item works perfectly and has no damage.

Good — item is in good condition but packaging may have signs of shelf wear/aging or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Acceptable — item is in working order but may show signs of wear such as scratches or torn packaging. All specific defects should be noted in the Comments section associated with each item.

Used — An item that has been opened and may show signs of wear. All specific defects should be noted in the Comments section associated with each item.

Refurbished — A used item that has been renewed or updated and verified to be in proper working condition. Not necessarily completed by the original manufacturer.

New
Hardcover New 0195125940 New Condition ~~~ Right off the Shelf-BUY NOW & INCREASE IN KNOWLEDGE...

Ships from: Geneva, IL

Usually ships in 1-2 business days

  • Canadian
  • International
  • Standard, 48 States
  • Standard (AK, HI)
  • Express, 48 States
  • Express (AK, HI)
Page 1 of 1
Showing All
Close
Sort by

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.
Read More Show Less

Editorial Reviews

From The Critics
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. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Read More Show Less

Product Details

  • ISBN-13: 9780195125948
  • Publisher: Oxford University Press, USA
  • Publication date: 2/22/2002
  • Pages: 2026
  • Product dimensions: 10.10 (w) x 7.40 (h) x 2.20 (d)

Meet the Author

University of Florida, Gainesville

AT&T Laboratories, New Jersey

Read More Show Less

Table of Contents

Preface Panos M. Pardalos and Mauricio G. C. Resende
Introduction Panos M. Pardalos and Mauricio G. C. Resende
Part One: Algorithms
1. Linear Programming
1.1. Introduction, Tamás Terlaky
1.2. Simplex-Type Algorithms, Tamás Terlaky
1.3. Interior-Point Methods for Linear Optimization, Kees Roos
2. Semidefinite Programming, Henry Wolkowicz
3. Combinatorial Optimization
3.1. Introduction, Panos M. Pardalos and Mauricio G. C. Resende
3.2. Branch-and-Bound Methods, Eva K. Lee
3.3. Branch-and-Cut Algorithms for Combinatorial Optimization Problems, John E. Mitchell
3.4. Dynamic Programming Approaches, Augustine O. Esogbue
3.5. Local Search, Mutsunori Yagiura and Toshihide Ibaraki
3.6. Metaheuristics
3.6.1. Introduction, Bruce L. Golden and Edward A. Wasil
3.6.2. Ant Systems, Éric D. Taillard
3.6.3. Population Heuristics, John E. Beasley
3.6.4. Memetic Algorithms, Pablo Moscato
3.6.5. Greedy Randomized Adaptive Search Procedures, Leonidas S. Pitsoulis and Mauricio G. C. Resende
3.6.6. Scatter Search, Manuel Laguna
3.6.7. Tabu Search, Fred Glover and Manuel Laguna
3.6.8. Simulated Annealing, E. H. L. Aarts and H. M. M. Ten Eikelder
3.6.9. Variable Neighborhood Search, Pierre Hansen and Nenad Mladenovi'c
4. Quadratic Programming, Yinyu Ye
5. Nonlinear Programming
5.1. Introduction, Gianni Di Pillo and Laura Palagi
5.2. Unconstrained Nonlinear Programming, Gianni Di Pillo and Laura Palagi
5.3. Constrained Nonlinear Programming }a Gianni Di Pillo and Laura Palagi
5.4. Nonsmooth Optimization, Manlio Gaudioso
6. Deterministic Global Optimizatio and Its Applications, Christodoulos A. Floudas
7. Decomposition Methods for Mathematical Programming, Philippe Mahey
8. Network Optimization
8.1. Introduction, Ravindra K. Ahuja, Thomas L. Magnanti, and James B. Orlin
8.2. Maximum Flow Problem, Ravindra K. Ahuja, Thomas L. Magnanti, and James B. Orlin
8.3. Shortest-Path Algorithms, Edith Cohen
8.4. Minimum-Cost Single-Commodity Flow, S. Thomas McCormick
8.5. Minimum-Cost Multicommodity Flow, Pierre Chardaire and Abdel Lisser
8.6. Minimum Spanning Tree Problem, Ravindra K. Ahuja, Thomas L. Magnanti, and James B. Orlin
9. Integer Programming
9.1. Introduction, Nelson Maculan
9.2. Linear 0-1 Programming, Nelson Maculan
9.3. Psedo-Boolean Optimization, Yves Crama and peter L. Hammer
9.4. Mixed-Integer Nonlinear Optimization, Christodoulos A. Floudas
9.5. Lagrangian Relaxation, Monique Guignard
9.6. Heuristics for 0-1 Mixed-Integer Programming, Arne Løokketangen
10. Artificial Neural Networks in Optimization and Applications, Theodore B. Trafalis and Suat Kasap
11. Stochastic Programming, John R. Birge
12. Hierarchical Optimization, Hoang Tuy
13. Complementarity and Related Problems, Michael C. Ferris and Christian Kanzow
14. Data Envelopment Analysis, José H. Dulá
15. Parallel Algorithms in Optimization, Yair Censor and Stavros A. Zenios
16. Randomization in Discrete Optimization: Annealing Algorithms, Sanguthevar Rajasekaran
Part Two: Applications
17. Problem Types
17.1. Optimization and Heuristics of Scheduling, Chung-Yee Lee and Michael Pinedo
17.2. The Vehicle Routing Problem, John E. Beasley, Abilio Lucena, and Marcus Poggi de Aragão
17.3. Network Designs: Approximations for Steiner Minimum Trees, Ding-Zhu Du
17.4. Approximate Solutions to Bin Packing Problems, Edward G. Coffman, Jr., János Csirik, and Gerhard J. Woeginger
17.5. The Traveling Salesmand Problem, Rainer E. Burkard
17.6. Inventory Management, Dukwon Kim and Boghos D. Sivazlian
17.7. Location, Zvi Drezner
17.8. Algorithms for the Satisfiability (SAT) Problem, Jun Gu, Paul W. Purdom, John Franco, and Benjamin W. Wah
17.9. Assignment Problems, Eranda Çela
18. Application Areas
18.1. Transportation and Logistics, Warren B. Powell
18.2. Airline Optimization, Gang Yu and Benjamin G. Thengvall
18.3. Optimization in the Rail Industry, Alexandra M. Newman, Linda K. Nozick, and Candace Arai Yano
18.4. Forstry Industry, Andrés Weintraub Pohorille and John Hof
18.5. Manufacturing Planning and Control, Stephen C. Graves
18.6. Semiconductor Production Planning, Robert C. Leachman
18.7. Optimization in the Aerospace Industry, Matthew E. Berge, John T. Betts, Sharon K. Filipowski, William P. Huffman, and David P. Young
18.8. Energy
18.8.1. Optimization in Electrical Power Systems, Gerson Couto de Oliveira, Sergio Granville, and Mario Pereira
18.8.2. Optimization Applications in Oil and Gas Recovery, Roland N. Horne
18.8.3. Natural Gas Pipeline Optimization, Roger Z. Rios-Mercado
18.9. Opimization of Telecommunications Networks, G. Anandalingam
18.10. Optimization of Test Intervals in Nuclear Engineering, Stanislav Uryasev
18.11. Optimization in VLSI Design: Target Distance Models for Cell Placement, Hussein A. Y. Etawil and Anthony Vannelli
18.12. Optimization Models in Transportation Planning, Michael Florian and Donald W. Hearn
18.13. Optimization in computation Molecular Biology, Guoliang Xue
18.14. Optimization in the Financial Services Industry, Anna Nagurney
18.15. Applied Large-Scale Nonlinear Optimization for Optimal Control of Partial Differential Equations and Differential Algebraic Equations, J. B. Rosen, John H. Glick, and E. Michael Gertz
18.16. Optimization in Water Reservoir Systems, Kumaraswamy Ponnambalam
18.17. Optimization Problems in Air-Pollution Modeling, Ivan Dimov and Zahari Zlatev
18.18. Applied Optimization in Agriculture, Charles B. Moss
18.19. Optimization in Graph Drawing, Petra Mutzel
18.20. Optimization for Modeling of Nonlinear Interactions in Mechanics, G. E. Stavroulakis
Part Three: Software
19. Optimization Modeling Languages, Emmanuel Fragnière and Jacek Gondzio
20. Optimization Software Packages, Stephen J. Wright
21. Optimization Software Libraries, Andreas Fink, Stefan VoB, and David L. Woodruff
22. Optimization Test Problem Libraries, John E. Beasley
23. Parallel Computing Environment, Simone de L. Martins, Celso C. Ribeiro, and Noemi Rodriguez
24. Experimental Analysis of Optimization Algorithms, Catherine C. McGeoch
25. Object-Oriented Programming, Andreas Fink, Stefan VoB, and David L. Woodruff
26. Optimization and the Internet, Michael A. Trick
Directory of Contributors
Index

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)