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» Approximations in Distributed Optimization
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FOCS
2005
IEEE
16 years 1 days 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...
ICIP
2005
IEEE
16 years 8 months ago
Beyond interpolation: optimal reconstruction by quasi-interpolation
We investigate the use of quasi-interpolating approximation schemes, to construct an estimate of an unknown function from its given discrete samples. We show theoretically and wit...
Laurent Condat, Thierry Blu, Michael Unser
CSDA
2004
119views more  CSDA 2004»
15 years 6 months ago
Bounded optimal knots for regression splines
Using a B-spline representation for splines with knots seen as free variables, the approximation to data by splines improves greatly. The main limitations are the presence of too ...
Nicolas Molinari, Jean-François Durand, Rob...
INFORMATICALT
2002
191views more  INFORMATICALT 2002»
15 years 6 months ago
Optimal Control of a Well-Stirred Bioreactor in the Presence of Stochastic Perturbations
We study the stochastic model for bioremediation in a bioreactor with ideal mixing. The dynamics of the examined system is described by stochastic differential equations. We consid...
Vadim Azhmyakov
ATAL
2009
Springer
16 years 1 months ago
Lossless clustering of histories in decentralized POMDPs
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...
Frans A. Oliehoek, Shimon Whiteson, Matthijs T. J....