Probability Theory of Classical Euclidean Optimization Problems

Author:   Joseph E. Yukich
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   7000th 1998 ed.
Volume:   1675
ISBN:  

9783540636663


Pages:   154
Publication Date:   18 March 1998
Format:   Paperback
Availability:   Out of print, replaced by POD   Availability explained
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Probability Theory of Classical Euclidean Optimization Problems


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Overview

This monograph describes the stochastic behavior of the solutions to the classic problems of Euclidean combinatorial optimization, computational geometry, and operations research. Using two-sided additivity and isoperimetry, it formulates general methods describing the total edge length of random graphs in Euclidean space. The approach furnishes strong laws of large numbers, large deviations, and rates of convergence for solutions to the random versions of various classic optimization problems, including the traveling salesman, minimal spanning tree, minimal matching, minimal triangulation, two-factor, and k-median problems. Essentially self-contained, this monograph may be read by probabilists, combinatorialists, graph theorists, and theoretical computer scientists.

Full Product Details

Author:   Joseph E. Yukich
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   7000th 1998 ed.
Volume:   1675
Dimensions:   Width: 15.50cm , Height: 0.80cm , Length: 23.50cm
Weight:   0.530kg
ISBN:  

9783540636663


ISBN 10:   3540636668
Pages:   154
Publication Date:   18 March 1998
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of print, replaced by POD   Availability explained
We will order this item for you from a manufatured on demand supplier.

Table of Contents

Subadditivity and superadditivity.- Subadditive and superadditive euclidean functionals.- Asymptotics for euclidean functionals: The uniform case.- Rates of convergence and heuristics.- Isoperimetry and concentration inequalities.- Umbrella theorems for euclidean functionals.- Applications and examples.- Minimal triangulations.- Geometric location problems.- Worst case growth rates.

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