09171 Executive Summary – Adaptive, Output Sensitive, Online and Parameterized Algorithms

Barbay, Jérémy; Klein, Rolf; López-Ortiz, Alejandro; Niedermeier, Rolf

doi:10.4230/DagSemProc.09171.2

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09171 Executive Summary – Adaptive, Output Sensitive, Online and Parameterized Algorithms

Authors Jérémy Barbay, Rolf Klein, Alejandro López-Ortiz, Rolf Niedermeier

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 9171
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2009-07-31

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Document Identifiers

DOI: 10.4230/DagSemProc.09171.2
URN: urn:nbn:de:0030-drops-21207

Subject Classification

Keywords

Adaptive analysis
instance optimal algorithms
fixed parameter tractable
output sensitive algorithms

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Abstract

Traditionally the analysis of algorithms measures the complexity of a
problem or algorithm in terms of the worst-case behavior over all
inputs of a given size. However, in certain cases an improved
algorithm can be obtained by considering a finer partition of the
input space. As this idea has been independently rediscovered in many areas, the
workshop gathered participants from different fields in order to
explore the impact and the limits of this technique, in the hope to
spring new collaboration and to seed the unification of the technique.

Cite As Get BibTex

Jérémy Barbay, Rolf Klein, Alejandro López-Ortiz, and Rolf Niedermeier. 09171 Executive Summary – Adaptive, Output Sensitive, Online and Parameterized Algorithms. In Adaptive, Output Sensitive, Online and Parameterized Algorithms. Dagstuhl Seminar Proceedings, Volume 9171, p. 1, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009) https://doi.org/10.4230/DagSemProc.09171.2

Author Details

Jérémy Barbay

Rolf Klein

Alejandro López-Ortiz

Rolf Niedermeier

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