Linearly-growing Reductions of Karp's 21 NP-complete Problems
Combinatorics
2019-02-28 v1 Computational Complexity
Data Structures and Algorithms
Abstract
We address the question of whether it may be worthwhile to convert certain, now classical, NP-complete problems to one of a smaller number of kernel NP-complete problems. In particular, we show that Karp's classical set of 21 NP-complete problems contains a kernel subset of six problems with the property that each problem in the larger set can be converted to one of these six problems with only linear growth in problem size. This finding has potential applications in optimisation theory because the kernel subset includes 0-1 integer programming, job sequencing and undirected Hamiltonian cycle problems.
Cite
@article{arxiv.1902.10349,
title = {Linearly-growing Reductions of Karp's 21 NP-complete Problems},
author = {Jerzy A Filar and Michael Haythorpe and Richard Taylor},
journal= {arXiv preprint arXiv:1902.10349},
year = {2019}
}