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A Gentle Introduction to Optimization

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textbook
  • Date Published: September 2014
  • availability: In stock
  • format: Paperback
  • isbn: 9781107658790

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  • Optimization is an essential technique for solving problems in areas as diverse as accounting, computer science and engineering. Assuming only basic linear algebra and with a clear focus on the fundamental concepts, this textbook is the perfect starting point for first- and second-year undergraduate students from a wide range of backgrounds and with varying levels of ability. Modern, real-world examples motivate the theory throughout. The authors keep the text as concise and focused as possible, with more advanced material treated separately or in starred exercises. Chapters are self-contained so that instructors and students can adapt the material to suit their own needs and a wide selection of over 140 exercises gives readers the opportunity to try out the skills they gain in each section. Solutions are available for instructors. The book also provides suggestions for further reading to help students take the next step to more advanced material.

    • Course-tested material from authors with 40 years of teaching experience
    • Self-contained chapters make it suitable for independent study
    • Prepares the reader for more advanced courses in optimization
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    Product details

    • Date Published: September 2014
    • format: Paperback
    • isbn: 9781107658790
    • length: 279 pages
    • dimensions: 244 x 173 x 15 mm
    • weight: 0.57kg
    • contains: 55 b/w illus. 25 colour illus. 20 tables 140 exercises
    • availability: In stock
  • Table of Contents

    Preface
    1. Introduction
    2. Solving linear programs
    3. Duality through examples
    4. Duality theory
    5. Applications of duality
    6. Solving integer programs
    7. Nonlinear optimization
    Appendix A. Computational complexity
    References
    Index.

  • Resources for

    A Gentle Introduction to Optimization

    B. Guenin, J. Könemann, L. Tunçel

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    These resources are provided free of charge by Cambridge University Press with permission of the author of the corresponding work, but are subject to copyright. You are permitted to view, print and download these resources for your own personal use only, provided any copyright lines on the resources are not removed or altered in any way. Any other use, including but not limited to distribution of the resources in modified form, or via electronic or other media, is strictly prohibited unless you have permission from the author of the corresponding work and provided you give appropriate acknowledgement of the source.

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  • Authors

    B. Guenin, University of Waterloo, Ontario
    B. Guenin is Professor in the Department of Combinatorics and Optimization at the University of Waterloo. He received a Fulkerson Prize awarded jointly by the Mathematical Programming Society and the American Mathematical Society in 2003. He is also the recipient of a Premier's Research Award in 2001 from the Government of Ontario, Canada. Guenin currently serves on the editorial board of the SIAM Journal on Discrete Mathematics.

    J. Könemann, University of Waterloo, Ontario
    J. Könemann is Professor in the Department of Combinatorics and Optimization at the University of Waterloo. He received an IBM Corporation Faculty Award in 2005, and an Early Researcher Award from the Government of Ontario, Canada, in 2007. He served on the program committees of several major conferences in mathematical optimization and computer science, and is a member of the editorial board of Elsevier's Surveys in Operations Research and Management Science.

    L. Tunçel, University of Waterloo, Ontario
    L. Tunçel is Professor in the Department of Combinatorics and Optimization at the University of Waterloo. In 1999 he received a Premier's Research Excellence Award from the Government of Ontario, Canada. More recently, he received a Faculty of Mathematics Award for Distinction in Teaching from the University of Waterloo in 2012. Tunçel currently serves on the editorial board of the SIAM Journal on Optimization and as an Associate Editor of Mathematics of Operations Research.

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