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Model Building in Mathematical Programming

Model Building in Mathematical Programming Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This book discusses the general principles of model building in mathematical programming and shows how to apply them to twenty practical problems in management science and operations research. Suggested formulations and solutions are given, along with illustrations of how mathematical programming can be applied in real situations.

Synopsis:

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.

Description:

Includes bibliographical references (p. 335-343) and indexes.

Table of Contents

Solving Mathematical Programming Models.

Building Linear Programming Models.

Structured Linear Programming Models.

Applications and Special Types of Mathematical Programming Model.

Interpreting and Using the Solution of a Linear Programming Model.

Non-linear Models.

Integer Programming.

Building Integer Programming Models I.

Building Integer Programming Models II.

The Implementation of a Mathematical Programming System of Planning.

The Problems.

Formulation and Discussion of Problems.

Solutions to Problems.

References.

Indexes.

Product Details

ISBN:
9780471997887
Author:
Williams, H. Paul
Publisher:
Wiley
Author:
Williams, H. P.
Author:
Williams, Paul
Location:
Chichester
Subject:
Linear Programming
Subject:
Programming
Subject:
Management Science
Subject:
Mathematical models
Subject:
Programming (Mathematics)
Subject:
Mathematics-Computer
Subject:
Management Science / Operations Research
Copyright:
Edition Number:
4
Publication Date:
19991119
Binding:
Electronic book text in proprietary or open standard format
Language:
English
Illustrations:
Yes
Pages:
370
Dimensions:
232 x 153 x 20.5 mm 20 oz

Related Subjects

Business » Human Resource Management
Business » Management
Computers and Internet » Database » Design
Science and Mathematics » Mathematics » Computer

Model Building in Mathematical Programming
0 stars - 0 reviews
$ In Stock
Product details 370 pages John Wiley & Sons - English 9780471997887 Reviews:
"Synopsis" by , This book discusses the general principles of model building in mathematical programming and shows how to apply them to twenty practical problems in management science and operations research. Suggested formulations and solutions are given, along with illustrations of how mathematical programming can be applied in real situations.
"Synopsis" by , 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.
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