A practical, accessible guide to optimization problems with discrete or integer variables<br><br>Integer Programming stands out from other textbooks by explaining in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems, such as airline timetables, production line schedules, or electricity production on a regional or national scale.<br><br>Incorporating recent developments that have made it possible to solve difficult optimization problems with greater accuracy, author Laurence A. Wolsey presents a number of state-of-the-art topics not covered in any other textbook. These include improved modeling, cutting plane theory and algorithms, heuristic methods, and branch-and-cut and integer programming decomposition algorithms. This self-contained text:<br>* Distinguishes between good and bad formulations in integer programming problems<br>* Applies lessons learned from easy integer programs to more difficult problems<br>* Demonstrates with applications theoretical and practical aspects of problem solving<br>* Includes useful notes and end-of-chapter exercises<br>* Offers tremendous flexibility for tailoring material to different needs<br><br>Integer Programming is an ideal text for courses in integer/mathematical programming-whether in operations research, mathematics, engineering, or computer science departments. It is also a valuable reference for industrial users of integer programming and researchers who would like to keep up with advances in the field.