A natural family of optimization problems with arbitrarily small approximation thresholds

Citation
V. Guruswami et Cp. Rangan, A natural family of optimization problems with arbitrarily small approximation thresholds, INF PROCESS, 68(5), 1998, pp. 241-248
Citations number
9
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
INFORMATION PROCESSING LETTERS
ISSN journal
00200190 → ACNP
Volume
68
Issue
5
Year of publication
1998
Pages
241 - 248
Database
ISI
SICI code
0020-0190(199812)68:5<241:ANFOOP>2.0.ZU;2-Q
Abstract
We give a concrete example of a family of natural graph-theoretic problems which behave better and better with respect to approximability but none of which are Likely to admit a polynomial time approximation scheme. More spec ifically, the family exhibits problems with arbitrarily small, yet positive (assuming P not equal NP), approximation thresholds. The family of problem s we give is the independent set problem on k-iterated total graphs, For Al l k greater than or equal to 1. (C) 1998 Published by Elsevier Science B.V. All rights reserved.