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IOR
2010
83views more  IOR 2010»
13 years 2 months ago
Information Relaxations and Duality in Stochastic Dynamic Programs
David B. Brown, James E. Smith, Peng Sun
MP
2006
75views more  MP 2006»
13 years 4 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
MANSCI
2007
100views more  MANSCI 2007»
13 years 4 months ago
Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
Companies such as Zara and World Co. have recently implemented novel product development processes and supply chain architectures enabling them to make more product design and ass...
Felipe Caro, Jérémie Gallien
CORR
2007
Springer
130views Education» more  CORR 2007»
13 years 4 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
MOR
2006
94views more  MOR 2006»
13 years 4 months ago
Conditional Risk Mappings
We introduce an axiomatic definition of a conditional convex risk mapping and we derive its properties. In particular, we prove a representation theorem for conditional risk mappi...
Andrzej Ruszczynski, Alexander Shapiro