Probability Theory of Classical Euclidean Optimization Problems

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 gr...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Yukich, Joseph E. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.
Έκδοση:1st ed. 1998.
Σειρά:Lecture Notes in Mathematics, 1675
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Probability Theory of Classical Euclidean Optimization Problems  |h [electronic resource] /  |c by Joseph E. Yukich. 
250 |a 1st ed. 1998. 
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300 |a X, 154 p.  |b online resource. 
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490 1 |a Lecture Notes in Mathematics,  |x 0075-8434 ;  |v 1675 
505 0 |a 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. 
520 |a 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. 
650 0 |a Geometry. 
650 0 |a Probabilities. 
650 1 4 |a Geometry.  |0 http://scigraph.springernature.com/things/product-market-codes/M21006 
650 2 4 |a Probability Theory and Stochastic Processes.  |0 http://scigraph.springernature.com/things/product-market-codes/M27004 
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