On subexponential and FPT-time inapproximability

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Abstract

Fixed-parameter algorithms, approximation algorithms and moderately exponential algorithms are three major approaches to algorithms design. While each of them being very active in its own, there is an increasing attention to the connection between these different frameworks. In particular, whether Independent Set would be better approximable once endowed with subexponential-time or FPT-time is a central question. In this article, we provide new insights to this question using two complementary approaches; the former makes a strong link between the linear PCP conjecture and inapproximability; the latter builds a class of equivalent problems under approximation in subexponential time. © 2013 Springer International Publishing.

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APA

Bonnet, E., Escoffier, B., Kim, E. J., & Paschos, V. T. (2013). On subexponential and FPT-time inapproximability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8246 LNCS, pp. 54–65). https://doi.org/10.1007/978-3-319-03898-8_6

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