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Introduction to Applied Optimization

  • Urmila M. Diwekar

Part of the Applied Optimization book series (APOP, volume 80)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Urmila M. Diwekar
    Pages 1-11
  3. Urmila M. Diwekar
    Pages 13-49
  4. Urmila M. Diwekar
    Pages 51-88
  5. Urmila M. Diwekar
    Pages 89-143
  6. Urmila M. Diwekar
    Pages 145-208
  7. Urmila M. Diwekar
    Pages 209-253
  8. Urmila M. Diwekar
    Pages 255-315
  9. Back Matter
    Pages 317-335

About this book

Introduction

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.

Key Features:

  • Provides well-written self-contained chapters, including problem sets and exercises, making it ideal for the classroom setting;
  • Introduces applied optimization to the hazardous waste blending problem;
  • Explores linear programming, nonlinear programming, discrete optimization, global optimization, optimization under uncertainty, multi-objective optimization, optimal control and stochastic optimal control;
  • Includes an extensive bibliography at the end of each chapter and an index;
  • GAMS files of case studies for Chapters 2, 3, 4, 5, and 7 are linked to http://www.springer.com/math/book/978-0-387-76634-8;
  • Solutions manual available upon adoptions.

Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Keywords

algorithms combinatorial optimization control discrete optimization global optimization linear optimization multi-objective optimization network nonlinear optimization optimal control optimization programming separation process uncertainty

Authors and affiliations

  • Urmila M. Diwekar
    • 1
  1. 1.Center for Uncertain Systems: Tools for Optimization & Management, Department of Chemical Engineering, and Institute for Environmental Science & PolicyUniversity of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3745-5
  • Copyright Information Springer-Verlag US 2003
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-3747-9
  • Online ISBN 978-1-4757-3745-5
  • Series Print ISSN 1384-6485
  • Buy this book on publisher's site