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Building and Solving Mathematical Programming Models in Engineering and Science Hardcover – November 1, 2001

ISBN-13: 978-0471150435 ISBN-10: 0471150436 Edition: 1st

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Editorial Reviews

Review

"...plenty of examples are given...suitable for mathematical programming undergraduate courses..." (Zentralblatt Math, Vol. 1029, 2004)

"I think this textbook is worth having in the college library…” (Interfaces, July-August 2003)

"...can be quite valuable because of its documentation of the GAMS software product...a means to learn and utilize a sophisticated linear and nonlinear programming tool." (Journal of Mathematical Psychology, 2002)

"...a welcome addition to the series of publications on mathematical programming applications to engineering problems..." Note: Review features an image of wiley.com. (IEEE Computer Applications in Power)

"...intention is to discuss the subject from an angle different from the standard, emphasizing conditions leading to well-defined problems, compatibility and uniqueness of solutions." (Mathematical Reviews, 2002i)

"...a useful and welcome addition to existing books on mathematical programming…I recommend this book..." (IIE Transactions)

"...very well suited as a professional reference or as a text for advanced mathematics or engineering courses." (Journal of Applied Mathematics and Stochastic Analysis, Vol. 15, No. 4)

From the Back Cover

Fundamental concepts of mathematical modeling

Modeling is one of the most effective, commonly used tools in engineering and the applied sciences. In this book, the authors deal with mathematical programming models both linear and nonlinear and across a wide range of practical applications.

Whereas other books concentrate on standard methods of analysis, the authors focus on the power of modeling methods for solving practical problems–clearly showing the connection between physical and mathematical realities–while also describing and exploring the main concepts and tools at work. This highly computational coverage includes:

  • Discussion and implementation of the GAMS programming system
  • Unique coverage of compatibility
  • Illustrative examples that showcase the connection between model and reality
  • Practical problems covering a wide range of scientific disciplines, as well as hundreds of examples and end-of-chapter exercises
  • Real-world applications to probability and statistics, electrical engineering, transportation systems, and more

Building and Solving Mathematical Programming Models in Engineering and Science is practically suited for use as a professional reference for mathematicians, engineers, and applied or industrial scientists, while also tutorial and illustrative enough for advanced students in mathematics or engineering.


More About the Author

Antonio J. Conejo, full professor at The Ohio State University, Columbus, Ohio, US, has published over 150 papers in scholarly journals and is the author or coauthor of books published by Springer, John Wiley, McGraw-Hill and CRC.

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