
TL;DR
The paper introduces the Sidestep problem framework to analyze the complexity of solving related questions within a certain distance, exemplified through graph problems and distances like maximum degree and edge edit distance.
Contribution
It formalizes the Sidestep problem, defines the hardness radius concept, and computes this radius for various classical graph problems under specific distance metrics.
Findings
Independent Set, Clique, Vertex Cover, Coloring, Clique Cover have hardness radius ~n^{1/2} for maximum degree distance.
These problems have a hardness radius of ~n^{4/3} for edge edit distance.
Hamiltonian Cycle has zero hardness radius for maximum degree distance.
Abstract
We introduce the meta-problem Sidestep for a problem , a metric over its inputs, and a map . A solution to Sidestep on an input of is a pair such that and is a correct answer to on input . This formalizes the notion of answering a related question (or sidestepping the question), for which we give some motivations, and compare it to the neighboring concepts of smoothed analysis, certified algorithms, planted problems, edition problems, and approximation algorithms. Informally, we call hardness radius the ``largest'' such that Sidestep is NP-hard. This framework calls for establishing the hardness radius of problems of interest for the relevant distances…
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