Combinatorial Filter Reduction: Special Cases, Approximation, and Fixed-Parameter Tractability

Fatemeh Zahra Saberifar, Ali Mohades, Mohammadreza Razzazi, Jason M. O'Kane
Journal of Computer and System Sciences
85:74-92
May 2017

Abstract

Recent research in algorithmic robotics considers \emph{combinatorial filters}, which concisely capture the discrete structure underlying many reasoning problems for robots. An important recent result is that the filter minimization problem---Given a filter, find the smallest equivalent filter---is NP-hard. This paper extends that result along several dimensions, including hardness proofs for some natural special cases and for approximation, and new results analyzing the only known algorithm for this problem. We show that this problem is not fixed-parameter tractable for any of the obvious parameters, but it is fixed-parameter tractable for the combination of new parameters.

BibTeX

@article{SabMoh+17,
  author       = {Fatemeh Zahra Saberifar and Ali Mohades and Mohammadreza
		 Razzazi and Jason M. O'Kane},
  title        = {Combinatorial Filter Reduction: {S}pecial Cases,
		 Approximation, and Fixed-Parameter Tractability},
  journal      = {Journal of Computer and System Sciences},
  year	       = {2017},
  pages        = {74--92},
  volume       = {85},
  month        = {May}
}

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Wed Sep 20 09:19:46 EDT 2017