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Average-case analysis for combinatorial problems

Posted on:2007-10-16Degree:Ph.DType:Thesis
University:Carnegie Mellon UniversityCandidate:Flaxman, Abraham DFull Text:PDF
GTID:2458390005479871Subject:Mathematics
Abstract/Summary:
This thesis considers the average case analysis of algorithms, focusing primarily on NP-hard combinatorial optimization problems. It includes a catalog of distributions frequently used in average-case analysis and a collection of mathematical tools that have been useful in studying these distributions. The bulk of the thesis consists of case-studies in average-case analysis of algorithms. Algorithms for 3-SAT, Subset Sum, Strong Connectivity, Stochastic Minimum Spanning Tree, and Uncapacitated Facility Location are analyzed on random instances.
Keywords/Search Tags:Average-case analysis, Algorithms
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