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Practical Optimization Methods

With Mathematica® Applications

  • M. Asghar Bhatti

Table of contents

  1. Front Matter
    Pages i-xiii
  2. M. Asghar Bhatti
    Pages 1-45
  3. M. Asghar Bhatti
    Pages 47-73
  4. M. Asghar Bhatti
    Pages 75-129
  5. M. Asghar Bhatti
    Pages 131-226
  6. M. Asghar Bhatti
    Pages 227-313
  7. M. Asghar Bhatti
    Pages 315-436
  8. M. Asghar Bhatti
    Pages 437-494
  9. M. Asghar Bhatti
    Pages 495-579
  10. M. Asghar Bhatti
    Pages 581-675
  11. Back Matter
    Pages 677-715

About this book

Introduction

The goal of this book is to present basic optimization theory and modern computational algorithms in a concise manner. The book is suitable for un­ dergraduate and graduate students in all branches of engineering, operations research, and management information systems. The book should also be use­ ful for practitioners who are interested in learning optimization and using these techniques on their own. Most available books in the field tend to be either too theoretical or present computational algorithms in a cookbook style. An approach that falls some­ where in between these two extremes is adopted in this book. Theory is pre­ sented in an informal style to make sense to most undergraduate and graduate students in engineering and business. Computational algorithms are also de­ veloped in an informal style by appealing to readers' intuition rather than mathematical rigor. The available, computationally oriented books generally present algorithms alone and expect readers to perform computations by hand or implement these algorithms by themselves. This obviously is unrealistic for a usual introductory optimization course in which a wide variety of optimization algorithms are discussed. There are some books that present programs written in traditional computer languages such as Basic, FORTRAN, or Pascal. These programs help with computations, but are of limited value in developing understanding of the algorithms because very little information about the intermediate steps v ' Preface VI -------------------------------------------------------- is presented.

Keywords

Analysis Mathematica Optimality Conditions Optimization Methods Optimization Theory Optimization algorithm Optimization algorithms algorithm algorithms linear optimization optimization programming quadratic programming

Authors and affiliations

  • M. Asghar Bhatti
    • 1
  1. 1.Department of Civil and Environmental EngineeringUniversity of IowaIowa CityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-0501-2
  • Copyright Information Springer-Verlag New York, Inc. 2000
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-6791-1
  • Online ISBN 978-1-4612-0501-2
  • Buy this book on publisher's site