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Editorial Reviews Book Info Discusses the general principles of model building in mathematical programming and demonstrates how they can be applied by using simplified but practical problems from widely different contexts. Softcover. DLC: Programming (Mathematics). Back Cover Copy Review of previous editions ‘Such a text — and this is the only one of this type I know of — should be the basis of all instruction in Mathematical Programming. Journal of the Royal Statistical Society ‘An excellent introduction … for students of business administration and people who want to see the utility of operations research. European Journal of Operational Research ‘It will be appreciated very much by practitioners who already have knowledge in the field of...  read more Book Description Review of previous editions ‘Such a text — and this is the only one of this type I know of — should be the basis of all instruction in Mathematical Programming. Journal of the Royal Statistical Society ‘An excellent introduction … for students of business administration and people who want to see the utility of operations research. European Journal of Operational Research ‘It will be appreciated very much by practitioners who already have knowledge in the field of mathematical programming. Mathematical Programming Society Newsletter Model Building in Mathematical Programming Fourth Edition H. Paul Williams Faculty of Mathematical Studies, University of Southampton, UK This extensively revised fourth edition of this well-known and much praised book contains a great deal of new material. In particular sections and new problems have been added covering Revenue Management. Hydro Electric Generation, Date Envelopment (efficiency) Analysis, Milk Distribution and Collection and Constraint Programming. The book discusses the general principles of model building in mathematical programming and shows how they can be applied by using simplified but practical problems from widely different contexts. Suggested formulations and solutions are given in the latter part of the book together with computational experience to give the reader a feel for the computation difficulty of solving that particular type of model. Aimed at undergraduates, postgraduates, research students and managers, this book illustrates the scope and limitations of mathematical programming, and shows how it can be applied to real situations. By emphasizing the importance of the building and interpretation of models rather than the solution process, the author attempts to fill a gap left by the many works which concentrate on the algorithmic side of the subject. All Customer Reviews Avg. Customer Review:  Write an online review and share your thoughts with other customers. 1 of 1 people found the following review helpful:
The three chapters on Integer Programming Models are amazingly easy to understand and were a real help during a graduate course in the subject. The huge number of practical examples in Parts 2, 3 and 4 of the book is the real value of the book. I would be hard-pressed for space to describe the range of problems that are modeled in Part 2... Part 3 covers a good deal of discussion on these formulations and Part 4 follows it up with solutions. Though solutions are not discussed in detail, they are a great help for someone who has worked hard through the problems and needs a verification of the solutions. Another useful section in the book is a chapter on the interpretation of Linear Programming solutions. For a person without a Math Prog background (say, a manager), this kind of material is very useful. In fact, it once served as a good refresher for me in a hurry... and an excellent one at that. The only sore point is a very limited discussion on nonlinear models.
1 of 1 people found the following review helpful:
I highly recommend this book for linear and mixed-integer modelers. However, if you don't use these types of solvers in your work, the book is less likely to be valuable.
4 of 4 people found the following review helpful:
1 of 9 people found the following review helpful:
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Based on 4 reviews. 
Good book for every one, February 7, 2001 