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Relaxation and Rounding

Ding-Zhu Du, Panos Pardalos, Xiaodong Hu and Weili Wu
Additional contact information
Ding-Zhu Du: University of Texas, Dallas
Panos Pardalos: University of Florida
Xiaodong Hu: Chinese Academy of Sciences
Weili Wu: University of Texas at Dallas

Chapter Chapter 11 in Introduction to Combinatorial Optimization, 2022, pp 323-348 from Springer

Abstract: Abstract The relaxation is a powerful technique to design approximation algorithms. It is similar to restriction, in terms of making a change on feasible domain; however, in an opposite direction, i.e., instead of shrinking the feasible domain, enlarge it by relaxing certain constraint. There are various issues about relaxation. In this chapter, we study some of them.

Date: 2022
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DOI: 10.1007/978-3-031-10596-8_11

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