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Title From Adaptive Analysis to Instance Optimality
Authors Jérémy Barbay
Publication date 2021
Abstract Parameterized analysis techniques are not limited to NP
hard
problems, they also yield results on more tractable problems.
This chapter introduces the concepts of /adaptive analysis/ and /instance
optimality/: the adaptive analysis reduces the scope over which the worst
case is taken to smaller classes, eventually down to various notions of
instance optimality. Developped since the 70's, such analysis techniques
have become even more relevant nowadays as the size of data explodes, and
with it the gap between the worst case performance and the typical one. We
present a sequence of results on an exemplary problem, the computation of
Maxima Sets; a (non exhaustive but representative) list of other techniques
and results; and we discuss some related open problems and perspectives.
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Pages 52-71
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