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» Approximation Algorithms for 2-Stage Stochastic Optimization...
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WSC
2008
13 years 10 months ago
Discrete stochastic optimization using linear interpolation
We consider discrete stochastic optimization problems where the objective function can only be estimated by a simulation oracle; the oracle is defined only at the discrete points....
Honggang Wang, Bruce W. Schmeiser
EOR
2006
104views more  EOR 2006»
13 years 7 months ago
A factor 1/2 approximation algorithm for two-stage stochastic matching problems
We introduce the two-stage stochastic maximum-weight matching problem and demonstrate that this problem is NP-complete. We give a factor 1 2 approximation algorithm and prove its ...
Nan Kong, Andrew J. Schaefer
CDC
2010
IEEE
138views Control Systems» more  CDC 2010»
13 years 2 months ago
Sensor-based robot deployment algorithms
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
Jerome Le Ny, George J. Pappas
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
14 years 8 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
WINE
2007
Springer
124views Economy» more  WINE 2007»
14 years 2 months ago
Stochastic Models for Budget Optimization in Search-Based Advertising
Internet search companies sell advertisement slots based on users’ search queries via an auction. Advertisers have to solve a complex optimization problem of how to place bids o...
S. Muthukrishnan, Martin Pál, Zoya Svitkina