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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.
- Sales Rank: #229614 in Books
- Brand: Thomson
- Published on: 2002-10-28
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 1.31" h x 8.08" w x 10.44" l, 41700.00 pounds
- Binding: Hardcover
- 924 pages
About the Author
Wayne L. Winston is Professor Emeritus of Decision Sciences at the Kelley School of Business at Indiana University and is now a Professor of Decision and Information Sciences at the Bauer College at the University of Houston. He has won more than 45 teaching awards, including the school-wide MBA award six times. His current interest is in showing how spreadsheet models can be used to solve business problems in all disciplines, particularly in finance, sports, and marketing. In addition to publishing more than 20 articles in leading journals, Dr. Winston has written such successful textbooks as OPERATIONS RESEARCH: APPLICATIONS AND ALGORITHMS, MATHEMATICAL PROGRAMMING: APPLICATIONS AND ALGORITHMS, SIMULATION MODELING WITH @RISK, DATA ANALYSIS FOR MANAGERS, SPREADSHEET MODELING AND APPLICATIONS, MATHLETICS, DATA ANALYSIS AND BUSINESS MODELING WITH EXCEL 2013, MARKETING ANALYTICS, and FINANCIAL MODELS USING SIMULATION AND OPTIMIZATION. He received his B.S. degree in mathematics from MIT and his Ph.D. in operations research from Yale.
Most helpful customer reviews
12 of 12 people found the following review helpful.
This book is a tool shed
By Bhavin Kamdar
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.
11 of 12 people found the following review helpful.
Very helpful book
By Fadi Boukaram
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.
4 of 4 people found the following review helpful.
Great introduction to math programming/optimization
By Chris
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
enjoy!
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