Handbook of Combinatorial Optimization pp 189-297 | Cite as

# Interior Point Methods for Combinatorial Optimization

Chapter

## Abstract

Interior-point methods, originally invented in the context of linear programming, have found a much broader range of applications, including *discrete* problems that arise in computer science and operations research as well as continuous computational problems arising in the natural sciences and engineering. This chapter describes the conceptual basis and applications of interior-point methods for discrete problems in computing.

## Keywords

Interior Point Interior Point Method Linear Programming Relaxation Integer Programming Problem Quadratic Assignment Problem
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