Introduction to Applied Optimization / Edition 2

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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter.
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Editorial Reviews

From the Publisher
From reviews:

"The book is well written and the presentation is rigorous and self-contained. The book will be of interest to researchers in various fields as well as undergraduate and graduate students in engineering sciences, management science, and decision science.”
—I. M. Stancu-Minasian, Zentralblatt MATH, Vol. 1043 (18), 2004

"Urmila Diwekar’s book on applied optimization is one of the few books on the subject that combines impressive breadth of coverage with delightful readability. In her exposition of concepts and algorithms in the major areas of optimization, she always goes to the heart of the matter and illustrates her explanations with simple diagrams and numerical examples. Graduate and undergraduate students, who constitute part of the target audience, should find this a very useful book.”
—Jamshed A. Modi, Interfaces, Vol. 36 (1), 2006

"The book is well-written, and . . . it covers fairly significant territory, in a relatively slim volume. This work is definitely a welcome addition to the existing optimization literature, given its emphasis on modeling and solution practice, as well as its ‘user-friendly’ style of exposition.”
—János D. Pintér, European Journal of Operations Research, Vol. 177, 2007

From the reviews of the second edition:

"Diwekar’s book covers a wide variety of optimization topics, including some recent developments, in under 300 pages. … The book would be suitable as a textbook; it contains numerous exercises and a solutions manual is available." (John D. Cook, MAA Online, February, 2009)

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Product Details

  • ISBN-13: 9781441945709
  • Publisher: Springer US
  • Publication date: 12/8/2010
  • Series: Springer Optimization and Its Applications Series, #22
  • Edition description: Softcover reprint of hardcover 2nd ed. 2008
  • Edition number: 2
  • Pages: 291
  • Product dimensions: 0.67 (w) x 6.14 (h) x 9.21 (d)

Table of Contents

Preface.- 1. Introduction.- 2. Linear Programming.- 3. Nonlinear Programming.- 4. Discrete Optimization.- 5. Optimization under Uncertainty.- 6. Multi-objective Optimization.- 7. Optimal Control and Dynamic Optimization.- Index.

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