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Smoothed analysis of algorithms

2002/12/01 by Daniel A. Spielman, Shang-Hua Teng · 2 citations
Mathematics · #math.OC #msc:65Y20 #msc:68Q17 #msc:68Q25 #msc:90C05

paper · pdf

published as Proceedings of the ICM, Beijing 2002, vol. 1, 597--606

arxiv created 2002/12/01 · arxiv updated 2009/12/01

Abstract

Spielman and Teng introduced the smoothed analysis of algorithms to provide a framework in which one could explain the success in practice of algorithms and heuristics that could not be understood through the traditional worst-case and average-case analyses. In this talk, we survey some of the smoothed analyses that have been performed.

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