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Introduction to Mathematical Programming: Applications and Algorithms, Volume 1 (with CD-ROM and InfoTrac)
Release Date: April, 1994
Publisher: Duxbury Pr
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.
||1.4 x 8.2 x 10.1 in.
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Posted by Fadi Boukaram on 3/21/2006
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.
Posted by MathMajor on 9/23/2005
Package arrived in orderly fashion. Everything that was suppose to be included was shipped. ie. the Book and the solution manual.
Posted by Fernando Laky Ozeki on 6/9/2000
This is a very didatic book for students who want to learn Operations Research. I read it and it was very important for me in college.
Posted by Bhavin Kamdar on 9/5/2007
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.