Introduction to Operations Research
By addebook • Jun 28th, 2008 • Category: Mathematics •
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Introduction to Operations Research
By Frederick S. Hillier, Gerald J. Lieberman,
Publisher: McGraw-Hill Science/Engineering/Math
Number Of Pages: 1214
Publication Date: 2002-03-22
Sales Rank: 603998
ISBN / ASIN: 0072535105
EAN: 9780072535105
Binding: Hardcover
Manufacturer: McGraw-Hill Science/Engineering/Math
Studio: McGraw-Hill Science/Engineering/Math
Average Rating: 4
It is now a third of a century since the 1967 publication of the first edition of the pathbreaking Introduction to Operations Research, when the field was still relatively new. A great deal has changed since then in regard to both developments in the field and evolving pedagogical demands of students. The seventh edition, in both regards, brings the book fully into the twenty-first century.
This new package contains version 2.0 of the CD-ROM, in which all of the software has been updated.
Review:
Excellent!
Maybe not enough explanations behind maths. I didn’t find the answers for the cases. Everything else is excellent. The DVD is very useful with Lingo / Lindo included.
A must-have if you like Operations Research.
Review:
The best resource on Operations Research for beginners, intermediates, and advanced knowledge seekers
I hesitated a long time before I bought this book, and I am very sorry about that. I started my M.Sc. in Operations Research and Decisions at the Tel Aviv University 3 years ago, and the first course I took was Optimization. I was a new immigrant to Israel, and I had difficulty in understanding the subject in Hebrew (it is not that easy even when you master the language!) The course book was this one; therefore, I decided to put all my efforts in the book rather than in the classes. Thanks god!
IMHO, Hillier and Lieberman make it clear that Operations Research is the father/mother of all the mathematical and statistical models that support decision making. They wrote the book in a way that all these models (including game theory, Markov models, decision trees, simplex, and others) seem closely linked to, or maybe even a consequence of, the development of Operations Research. The authors do not only explain models and techniques, they tell the story of the introduction of mathematics and statistics into the decision making world.
I read this book from upside down ten times and I really enjoyed it. The examples are so well chosen and interesting that I still remember them. But the biggest advantage of the book is its wide range of subjects, each treated in-depth. I have used the book for three important courses during my masters: Optimization, Stochastic process, and Decision theory. For all these courses, this book was the most comprehensible and interesting resource (though sometimes it was only an introduction, and I had to find more detailed material). The subjects discussed on the book go from an introduction to Operations Research, through modeling techniques, linear programming (Simplex), duality theory, the transportation problem, network optimization, dynamic programming, integer programming, nonlinear programming, game theory, decision analysis, Markov chains, queueing theory, and inventory theory.
Don’t hesitate, if you got to this page you probably are looking for a good resource on Operations Research. This tome serves beginners, intermediates, and advanced knowledge seekers in the field.
http://rapidshare.com/files/40886610/Intorduction_to_Operations_Research_-_Hillier.pdf.html
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