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STOC
2004
ACM
118views Algorithms» more  STOC 2004»
16 years 2 months ago
Boosted sampling: approximation algorithms for stochastic optimization
Several combinatorial optimization problems choose elements to minimize the total cost of constructing a feasible solution that satisfies requirements of clients. In the STEINER T...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...
CIAC
2006
Springer
135views Algorithms» more  CIAC 2006»
15 years 6 months ago
Approximation Algorithms for Capacitated Rectangle Stabbing
In the rectangle stabbing problem we are given a set of axis parallel rectangles and a set of horizontal and vertical lines, and our goal is to find a minimum size subset of lines...
Guy Even, Dror Rawitz, Shimon Shahar
MOC
2000
86views more  MOC 2000»
15 years 2 months ago
Numerical algorithms for semilinear parabolic equations with small parameter based on approximation of stochastic equations
The probabilistic approach is used for constructing special layer methods to solve the Cauchy problem for semilinear parabolic equations with small parameter. Despite their probabi...
G. N. Milstein, M. V. Tretyakov
ISAAC
2009
Springer
127views Algorithms» more  ISAAC 2009»
15 years 9 months ago
Maximal Strip Recovery Problem with Gaps: Hardness and Approximation Algorithms
Abstract. Given two comparative maps, that is two sequences of markers each representing a genome, the Maximal Strip Recovery problem (MSR) asks to extract a largest sequence of ma...
Laurent Bulteau, Guillaume Fertin, Irena Rusu
126
Voted
INFOCOM
2008
IEEE
15 years 8 months ago
On the Construction of a Maximum-Lifetime Data Gathering Tree in Sensor Networks: NP-Completeness and Approximation Algorithm
Abstract—Energy efficiency is critical for wireless sensor networks. The data gathering process must be carefully designed to conserve energy and extend the network lifetime. Fo...
Yan Wu, Sonia Fahmy, Ness B. Shroff