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Model Building in Mathematical Programming 5th Edition, Kindle Edition
The 5th edition of Model Building in Mathematical Programming discusses the general principles of model building in mathematical programming and demonstrates how they can be applied by using several simplified but practical problems from widely different contexts. Suggested formulations and solutions are given together with some computational experience to give the reader a feel for the computational difficulty of solving that particular type of model. Furthermore, 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 interpreting 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.
In this article, H.P. Williams explains his original motivation and objectives in writing the book, how it has been modified and updated over the years, what is new in this edition and why it has maintained its relevance and popularity over the years: http://www.statisticsviews.com/details/feature/4566481/Model-Building-in-Mathematical-Programming-published-in-fifth-edition.html
- ISBN-13978-1118443330
- Edition5th
- PublisherWiley
- Publication dateJanuary 18, 2013
- LanguageEnglish
- File size11170 KB
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Editorial Reviews
From the Inside Flap
Model Building in Mathematical Programming covers a wide range of applications in many diverse areas, such as operational research, systems engineering, agriculture, energy planning, mining, logistics and distribution, computer science, management science, statistics, applied mathematics and mathematical biology.
Model Building in Mathematical Programming aims to provide students with a solid foundation in the principles of model building as well as the more mathematical, algorithmic side of the subject which is conventionally taught. It is also intended to provide managers with a fairly non-technical appreciation of the scope and limitations of mathematical programming.
Praise for the 4th Edition:
'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
This new edition includes:
- New sections on stochastic programming, column generation and constraint logic programming as well as many enhancements of former sections.
- 29 detailed practical problems, including 5 new problems, to enable the reader to build mathematical programming models using the numerical data.
From the Back Cover
Model Building in Mathematical Programming covers a wide range of applications in many diverse areas, such as operational research, systems engineering, agriculture, energy planning, mining, logistics and distribution, computer science, management science, statistics, applied mathematics and mathematical biology.
Model Building in Mathematical Programming aims to provide students with a solid foundation in the principles of model building as well as the more mathematical, algorithmic side of the subject which is conventionally taught. It is also intended to provide managers with a fairly non-technical appreciation of the scope and limitations of mathematical programming.
Praise for the 4th Edition:
"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
This new edition includes:
- New sections on stochastic programming, column generation and constraint logic programming as well as many enhancements of former sections.
- 29 detailed practical problems, including 5 new problems, to enable the reader to build mathematical programming models using the numerical data.
About the Author
H. Paul Williams, London School of Economics, UK.
Product details
- ASIN : B00B8Y6MIG
- Publisher : Wiley; 5th edition (January 18, 2013)
- Publication date : January 18, 2013
- Language : English
- File size : 11170 KB
- Simultaneous device usage : Up to 3 simultaneous devices, per publisher limits
- Text-to-Speech : Enabled
- Screen Reader : Supported
- Enhanced typesetting : Enabled
- X-Ray : Not Enabled
- Word Wise : Enabled
- Print length : 434 pages
- Best Sellers Rank: #945,403 in Kindle Store (See Top 100 in Kindle Store)
- #3 in Linear Programming (Kindle Store)
- #53 in Linear Programming (Books)
- #200 in Business Management Science
- Customer Reviews:
About the author
![H. P. Williams](https://m.media-amazon.com/images/I/01Kv-W2ysOL._SY600_.png)
Discover more of the author’s books, see similar authors, read book recommendations and more.
Customer reviews
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Learn more how customers reviews work on AmazonTop reviews from the United States
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- Reviewed in the United States on October 7, 2013The fifth edition came out in 2013 and it's exactly what I was looking for. It's current and it feels current. It's well-written and organized, with many worked examples, including 29 problems in chapters 12-14.
These 29 examples are pretty clever, and make up all of Section II (chapters 12-14). For example, 12.1 describes a food manufacturing (blending) problem in sufficient detail for you to create a model. 13.1 describes the model, broken down into a one-month solution (13.1.1) and the more-complex ongoing production problem (31.1.2). Last, 14.1 describes the answer you get from the model in 13.1.
I'm not trained in OR, but have a bit of practical experience in creating a model in GMPL, and the book's exactly what I needed. It talks about mathematical modeling in general and touches on things like constraint programming, then covers designing a linear model, structured linear models (i.e. linear models with sub models), and various linear model applications. Then it covers the interpretation of linear models, and looks at non-linear models before falling into the longest part (two chapters) on integer programming. That's Section I, which is followed by Section II and its 29 examples.
If you're new to linear programming or have some self-taught experience, this is a perfect book. It has a lot of insights, well-organized, and the examples are very valuable. I'm totally satisfied!
- Reviewed in the United States on November 23, 2015This book has no code. It isn't written for any particular solver. It simply (and critically importantly) helps you think about a very broad range of problems and then do the math formulation for them. With that you can implement the result in whatever API for whatever solver you want. A really great book that has and will stand the test of time (with a few small exceptions given some new modeling techniques).
- Reviewed in the United States on March 15, 2020Useful reference for a management consultant. Gives sufficient number of uses of operations research or management science. Optimal breadth and depth for my needs.
- Reviewed in the United States on July 12, 2021Very good book teaching you math modeling with concrete examples, and modeling tricks!
- Reviewed in the United States on March 10, 2015Nice book for beginners not much complicated math. I would have loved to have it in hard cover though. Have to see how long the paperback is gonna last with my intense use.
- Reviewed in the United States on December 3, 2018Very useful book for modeling, especially the chapters with 30 examples
- Reviewed in the United States on March 18, 2024I bought this book in March 2023 from "Book Depository US". It took me a few months to start reading it. My copy has misprints (instead of "profit", it reads "pro t"), and this is not an isolated typo. It was too late to return to the seller, and Wiley refused to replace 8 months after purchase because "this purchase was from another source". This is also past Amazon's "A to Z Guarantee" policy.
Wiley unreasonably expects readers to flip through several hundred pages of a $54 textbook upon receipt to look for defects so they can ask for an exchange or refund from the original seller. I have bought hundreds if not thousands of books in my life, and this is the first time I have encountered this type of issue.
- Reviewed in the United States on September 7, 2013The first edition was excellent and Paul Williams has added scope and more examples to each new edition. An essential companion for all Operations Research students and for experienced professionals.
Top reviews from other countries
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FranciscoReviewed in Mexico on August 14, 2017
5.0 out of 5 stars Excelente libro para modelado en problemas de optimización
Este libro es el adecuado para tener una introducción al planteamiento de problemas de optimización, esta segunda edición tiene más ejemplos que la primera.
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KindleユーザーReviewed in Japan on October 31, 2020
5.0 out of 5 stars 改版されて例題が追加になっています
数理計画法のモデル説明としては大分前から広く使われてきた本だと思います。問題の設定も的確ですし、モデル説明も丁寧です。第3版は和訳も出ていたのですが新版は見つからないですね。
- Cliente AmazonReviewed in Brazil on October 15, 2015
5.0 out of 5 stars Great insights, especially for beginners or for those who want to revisit key aspects on model building.
The book has met my expectations as I beginner on mathematical programming. The author provides a broad explanation and precious insigths on problem characterization, model building and solution interpretation. It will certainly help me to do my job better. I do recommend this book!
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ErikReviewed in Germany on October 13, 2015
5.0 out of 5 stars Ein absolut wertvolles und einsichtsreiches Buch
Ein überraschend klares und erklärendes Buch über Mathematsche Programmierung und Programmierungsmodellen. Nicht begrenzt auf das Wirtschaftsleben sondern zu verwenden in (fast) jede Situation wo man eine kalkulierte Lösung sucht für Entscheidungsprobleme. Kann man nur empfehlen wie Fachliteratur aber auch zu verwenden vom Anfänger.