Integer Programming, Second Edition 2nd Edition

"An integer programming problem is a mathematical optimization or feasibility program in which some or all of the variables are restricted to be integers. Contains a new chapter on Benders' algorithm, as there have been many successful applications of Benders' algorithm since the first edition published. Provides improved presentation of Branch-and-Price Algorithms. Contains an introduction to Branch-Cut and Price. Includes new heuristics within mixed integer programming (MIP) codes and user implemented heuristics using a Modelling Language and a MIP solver . Supplementary material consists of solutions to some exercises, available to instructors on a Wiley Instructor Companion Site"--
A PRACTICAL GUIDE TO OPTIMIZATION PROBLEMS WITH DISCRETE OR INTEGER VARIABLES, REVISED AND UPDATED The revised second edition of Integer Programming explains 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. The second edition also includes information on the remarkable progress in the development of mixed integer programming solvers in the 22 years since the first edition of the book appeared. The updated text includes information on the most recent developments in the field such as the much improved preprocessing/presolving and the many new ideas for primal heuristics included in the solvers. The result has been a speed-up of several orders of magnitude. The other major change reflected in the text is the widespread use of decomposition algorithms, in particular column generation (branch-(cut)-and-price) and Benders’ decomposition. The revised second edition: Contains new developments on column generation Offers a new chapter on Benders’ algorithm Includes expanded information on preprocessing, heuristics, and branch-and-cut Presents several basic and extended formulations, for example for fixed cost network flows Also touches on and briefly introduces topics such as non-bipartite matching, the complexity of extended formulations or a good linear program for the implementation of lift-and-project  Written for students of integer/mathematical programming in operations research, mathematics, engineering, or computer science, Integer Programming offers an updated edition of the basic text that reflects the most recent developments in the field.