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» Randomized Algorithms and Complexity Theory
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GECCO
2008
Springer
156views Optimization» more  GECCO 2008»
15 years 17 days ago
Computing minimum cuts by randomized search heuristics
We study the minimum s-t-cut problem in graphs with costs on the edges in the context of evolutionary algorithms. Minimum cut problems belong to the class of basic network optimiz...
Frank Neumann, Joachim Reichel, Martin Skutella
CORR
2010
Springer
144views Education» more  CORR 2010»
14 years 9 months ago
Kolmogorov Complexity in perspective. Part I: Information Theory and Randomnes
We survey diverse approaches to the notion of information: from Shannon entropy to Kolmogorov complexity. Two of the main applications of Kolmogorov complexity are presented: rand...
Marie Ferbus-Zanda, Serge Grigorieff
COMPGEOM
2003
ACM
15 years 4 months ago
Incremental constructions con BRIO
Randomized incremental constructions are widely used in computational geometry, but they perform very badly on large data because of their inherently random memory access patterns...
Nina Amenta, Sunghee Choi, Günter Rote
WDAG
2005
Springer
118views Algorithms» more  WDAG 2005»
15 years 5 months ago
Distributed Computing with Imperfect Randomness
Randomness is a critical resource in many computational scenarios, enabling solutions where deterministic ones are elusive or even provably impossible. However, the randomized solu...
Shafi Goldwasser, Madhu Sudan, Vinod Vaikuntanatha...
CORR
2008
Springer
115views Education» more  CORR 2008»
14 years 11 months ago
Kolmogorov complexity in perspective
We survey diverse approaches to the notion of information: from Shannon entropy to Kolmogorov complexity. Two of the main applications of Kolmogorov complexity are presented: rand...
Marie Ferbus-Zanda, Serge Grigorieff