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FSTTCS
2006
Springer
13 years 8 months ago
Approximation Algorithms for 2-Stage Stochastic Optimization Problems
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...
Chaitanya Swamy, David B. Shmoys
FOCS
2004
IEEE
13 years 8 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
SIGECOM
2011
ACM
232views ECommerce» more  SIGECOM 2011»
12 years 7 months ago
Near optimal online algorithms and fast approximation algorithms for resource allocation problems
We present algorithms for a class of resource allocation problems both in the online setting with stochastic input and in the offline setting. This class of problems contains man...
Nikhil R. Devanur, Kamal Jain, Balasubramanian Siv...
ISAAC
2010
Springer
253views Algorithms» more  ISAAC 2010»
13 years 2 months ago
Solving Two-Stage Stochastic Steiner Tree Problems by Two-Stage Branch-and-Cut
Abstract. We consider the Steiner tree problem under a 2-stage stochastic model with recourse and finitely many scenarios (SSTP). Thereby, edges are purchased in the first stage wh...
Immanuel M. Bomze, Markus Chimani, Michael Jü...