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.