Smoothed analysis of three combinatorial problems

被引：0
|
作者：
Banderier, C
Beier, R
Mehlhorn, K
机构：
[1] Univ Paris 13, Inst Galilee, Lab Informat Paris Nord, F-93430 Villetaneuse, France
[2] Max Planck Inst Informat, D-66123 Saarbrucken, Germany
来源：
MATHEMATICAL FOUNDATIONS OF COMPUTER SCIENCE 2003, PROCEEDINGS | 2003年 / 2747卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
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页码：198 / 207
页数：10
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