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ORL
2007
47views more  ORL 2007»
14 years 11 months ago
A simpler and better derandomization of an approximation algorithm for single source rent-or-buy
We present a very simple way of derandomizing the algorithm proposed by Gupta, Kumar and Roughgarden for Single Source Rent-or-Buy by using the method of conditional expectation. ...
David P. Williamson, Anke van Zuylen
FOCS
2005
IEEE
15 years 5 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
IJCGA
2002
73views more  IJCGA 2002»
14 years 11 months ago
A Simple Factor-2/3 Approximation Algorithm for Two-Circle Point Labeling
Given a set P of n points in the plane, the two-circle point-labeling problem consists of placing 2n uniform, non-intersecting, maximum-size open circles such that each point touc...
Alexander Wolff, Michael Thon, Yin-Feng Xu
APPROX
2007
Springer
92views Algorithms» more  APPROX 2007»
15 years 6 months ago
Sublinear Algorithms for Approximating String Compressibility
We raise the question of approximating the compressibility of a string with respect to a fixed compression scheme, in sublinear time. We study this question in detail for two popu...
Sofya Raskhodnikova, Dana Ron, Ronitt Rubinfeld, A...
PR
1998
86views more  PR 1998»
14 years 11 months ago
Optimizing the cost matrix for approximate string matching using genetic algorithms
This paper describes a method for optimizing the cost matrix of any approximate string matching algorithm based on the Levenshtein distance. The method, which uses genetic algorit...
Marc Parizeau, Nadia Ghazzali, Jean-Françoi...