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  Smoothed Analysis of Three Combinatorial Problems

Banderier, C., Beier, R., & Mehlhorn, K. (2003). Smoothed Analysis of Three Combinatorial Problems. In Mathematical foundations of computer science 2003: 28th International Symposium, MFCS 2003 (pp. 198-207). Berlin, Germany: Springer.

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Banderier, Cyril1, Author           
Beier, Rene1, Author           
Mehlhorn, Kurt1, Author           
Rovan, Branislav, Editor
Vojtáš, Peter, Editor
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1Algorithms and Complexity, MPI for Informatics, Max Planck Society, ou_24019              

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 Abstract: Smoothed analysis combines elements over worst-case and average case analysis. For an instance $x$, the smoothed complexity is the average complexity of an instance obtained from $x$ by a perturbation. The smoothed complexity of a problem is the worst smoothed complexity of any instance. Spielman and Teng introduced this notion for continuous problems. We apply the concept to combinatorial problems and study the smoothed complexity of three classical discrete problems: quicksort, left-to-right maxima counting, and shortest paths.

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Language(s): eng - English
 Dates: 2004-06-152003
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 202044
Other: Local-ID: C1256428004B93B8-09CF39E77E5072D5C1256E140059E6C7-Beier2003a
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Title: MFCS 2003
Place of Event: Bratislava, Slovak Republic
Start-/End Date: 2003-08-25 - 2003-08-29

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Title: Mathematical foundations of computer science 2003 : 28th International Symposium, MFCS 2003
Source Genre: Proceedings
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 198 - 207 Identifier: ISBN: 3-540-40671-9

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Pages: - Volume / Issue: 2747 Sequence Number: - Start / End Page: - Identifier: -