- English
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- Available on iOS & Android
eBook - ePub
About this book
Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications.
This volume begins with a description of new constructive and iterative search methods for solving the Boolean optimization problem (BOOP). Following a review of recent developments
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Yes, you can access Integer Programming by John K. Karlof in PDF and/or ePUB format, as well as other popular books in Business & Programming Algorithms. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Preface
- The Editor
- Contributors
- Table of Contents
- 1: New Heuristics and Adaptive Memory Procedures for Boolean Optimization Problems
- 2: Convergent Lagrangian Methods for Separable Nonlinear Integer Programming: Objective Level Cut and Domain Cut Methods
- 3: The Generalized Assignment Problem
- 4: Decomposition in Integer Linear Programming
- 5: Airline Scheduling Models and Solution Algorithms for the Temporary Closure of Airports
- 6: Determining an Optimal Fleet Mix and Schedules: Part I — Single Source and Destination
- 7: Determining an Optimal Fleet Mix and Schedules: Part II — Multiple Sources and Destinations, and the Option of Leasing Transshipment Depots
- 8: An Integer Programming Model for the Optimization of Data Cycle Maps
- 9: Application of Column Generation Techniques to Retail Assortment Planning
- 10: Noncommercial Software for Mixed-Integer Linear Programming
- Index