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» Sampling Bounds for Stochastic Optimization
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DAGSTUHL
2004
13 years 11 months ago
Lower Bounds and Non-Uniform Time Discretization for Approximation of Stochastic Heat Equations
We study algorithms for approximation of the mild solution of stochastic heat equations on the spatial domain ]0, 1[ d . The error of an algorithm is defined in L2-sense. We derive...
Klaus Ritter, Thomas Müller-Gronbach
ICALP
2007
Springer
14 years 4 months ago
Commitment Under Uncertainty: Two-Stage Stochastic Matching Problems
Abstract. We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is...
Irit Katriel, Claire Kenyon-Mathieu, Eli Upfal
FOCS
2008
IEEE
14 years 4 months ago
Lower Bounds for Noisy Wireless Networks using Sampling Algorithms
We show a tight lower bound of Ω(N log log N) on the number of transmissions required to compute several functions (including the parity function and the majority function) in a...
Chinmoy Dutta, Jaikumar Radhakrishnan
MP
2006
75views more  MP 2006»
13 years 9 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
MP
2002
93views more  MP 2002»
13 years 9 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...