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Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 (with CD-ROM and InfoTrac) [Paperback]

Wayne L. Winston , Munirpallam Venkataramanan
3.9 out of 5 stars  See all reviews (13 customer reviews)

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Book Description

October 28, 2002 0534359647 978-0534359645 4
Authors Wayne Winston and Munirpallam Venkataramanan emphasize model-formulation and model-building skills as well as interpretation of computer software output. Focusing on deterministic models, this book is designed for the first half of an operations research sequence. A subset of Winston's best-selling OPERATIONS RESEARCH, INTRODUCTION TO MATHEMATICAL PROGRAMMING offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in level. The book has a strong computer orientation and emphasizes model-formulation and model-building skills. Every topic includes a corresponding computer-based modeling and solution method and every chapter presents the software tools needed to solve realistic problems. LINDO, LINGO, and Premium Solver for Education software packages are available with the book.

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Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 (with CD-ROM and InfoTrac) + Student Solutions Manual for Winston's Introduction to Mathematical Programming: Applications and Algorithms, 4th (Operations Research) + Introduction to Probability Models, Tenth Edition
Price for all three: $410.88

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Editorial Reviews

About the Author

Wayne L. Winston is Professor of Operations and Decision Technologies in the Kelley School of Business at Indiana University, where he has taught since 1975. Wayne received his B.S. degree in Mathematics from MIT and his Ph.D. degree in Operations Research from Yale. He has written the successful textbooks OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, DATA ANALYSIS AND DECISION MAKING, DATA ANALYSIS FOR MANAGERS, SPREADSHEET MODELING AND APPLICATIONS, AND FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. Wayne has published over 20 articles in leading journals and has won many teaching awards, including the school-wide MBA award four times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance and marketing.

Product Details

  • Paperback: 936 pages
  • Publisher: Thomson Learning; 4 edition (October 28, 2002)
  • Language: English
  • ISBN-10: 0534359647
  • ISBN-13: 978-0534359645
  • Product Dimensions: 10.6 x 8.3 x 1.2 inches
  • Shipping Weight: 4 pounds (View shipping rates and policies)
  • Average Customer Review: 3.9 out of 5 stars  See all reviews (13 customer reviews)
  • Amazon Best Sellers Rank: #220,727 in Books (See Top 100 in Books)

More About the Author

Wayne L. Winston is a professor of Decision Sciences at Indiana
University, Kelley School of Business and has earned numerous MBA teaching
awards over the past two decades. Wayne also consults for several Fortune
500 clients. He and his business partner Jeff Sagarin developed the
statistics tracking and rating system used by the Dallas Mavericks
professional basketball team. Wayne is also a two-time Jeopardy champion.

Customer Reviews

3.9 out of 5 stars
3.9 out of 5 stars
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Most Helpful Customer Reviews
11 of 11 people found the following review helpful
4.0 out of 5 stars This book is a tool shed September 5, 2007
As one of the previous reviewers noted this book offers no (very few to be accurate) proofs. While I would normally pounce on an author for neglecting proofs and rigor, Winston approach is rather refreshing and practical. It is like a tool shed filled with tools that one may use without completely understanding its composition. This book is very accessible to people who are not very mathematically apt and provides a gentle introduction for those advanced in mathematics. If you want a general introduction to LP and NLP before you dive into the meat and potatoes (rigor and proofs) or if you want to just pick up some methods to optimize operations related tasks, I highly recommends this book.
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11 of 12 people found the following review helpful
5.0 out of 5 stars Very helpful book March 21, 2006
This isn't your regular review here, because I'm guessing we all "have" to buy this book when we take the course.

This book is very helpful for students of all levels. I took it for an "operations research" class after more than 7 years of not studying any math. Still, the first few chapters offer a recap of algebra needed for the course. In the subsequent chapters, everything progresses slowly with lots of examples, (which is helpful if you miss a class or two).

Good luck with the class using this book then.
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4 of 4 people found the following review helpful
4.0 out of 5 stars Good Value February 9, 2008
Format:Paperback|Verified Purchase
The book is very good, brings loads of examples and exercises. It has also a sample version of LINGO, which is quite useful for Operational Researchers.
The only hint I give is the following: if you have already the blue book OPERATIONS RESEARCH by the same author, forget about this one. The content is basically the same, except from two chapters.
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5 of 6 people found the following review helpful
There are textbooks where one can really see that effort not only went into minimizing mistakes but also in narrowing the barrier of learning as much as possible (i.e., simplifying without losing mathematical rigor). This text doesn't master either aspect.

Otherwise the book is fairly mediocre. Unfortunately, some obsolete concepts (such as the M method as well as some other algorithms) are covered, but critical concepts (Simplex _fundamentals_) are either ignored or explained poorly (especially the section on direction of unboundedness was confusing, left out critical information, and didn't connect well to the later Simplex chapters).

EDIT: After reading some of the well-written sections that deal with common student errors I thought I was too harsh on this one. Also, I should have not criticized the treatment of the M-method because it is still taught everywhere.
Then I realized that numerous sections in this text introduce concepts with an unintuitive approach, emphasizing memorization over understanding. This is inexcusable and I will refrain from increasing my original rating for this reason.
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1 of 1 people found the following review helpful
5.0 out of 5 stars Great introduction to math programming/optimization October 7, 2012
By Chris
Format:Paperback|Verified Purchase
I'm a PhD student in operations research, and this is a great operations research book. Its sometimes confusing that it has so many names: Mathematical programming, linear programming (and non-linear), industrial engineering, operations research, optimization etc.

So this is an optimization book, not a computer programming book. Mathematical programming refers to both linear and non-linear optimization. I would recommend this as an introductory book in both the theory and the modeling aspect of operations research/ linear and non-linear optimization.

For more advanced theory I would recommend the following (advanced undergrads and graduate students):
Linear Programming (LP): Introduction to Linear Programming by Bertsimas and Tsitsiklis.
Non-Linear Programming (NLP): Convex Optimization by Boyd and Vandenberghe
Both LP and NLP: Linear and Nonlinear Programming by David G. Luenberger and Yinyu Ye

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4.0 out of 5 stars Huge book with a lot of material June 2, 2013
Format:Paperback|Verified Purchase
Heavy book with plenty of interesting material. The CD is included but I have never used it. I barely opened the book for the class for which it was required but I used it as basic material for other classes I was struggling to understand.
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0 of 1 people found the following review helpful
4.0 out of 5 stars It's a textbook. Not sure what else to say. February 1, 2013
Format:Paperback|Verified Purchase
The textbook is not bad, but the subject of programming and operations research is not exactly rocket science. It's written clearly, and contains helpful examples. That's all there is to it.
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