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AMAI
2004
Springer
15 years 2 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee
CP
2009
Springer
15 years 4 months ago
Why Cumulative Decomposition Is Not as Bad as It Sounds
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
Andreas Schutt, Thibaut Feydy, Peter J. Stuckey, M...
CCE
2008
14 years 9 months ago
Chance constrained programming approach to process optimization under uncertainty
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Pu Li, Harvey Arellano-Garcia, Günter Wozny
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
14 years 10 months ago
Quadratic Programming based data assimilation with passive drifting sensors for shallow water flows
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
Andrew Tinka, Issam S. Strub, Qingfang Wu, Alexand...
GLVLSI
2006
IEEE
185views VLSI» more  GLVLSI 2006»
15 years 3 months ago
Application of fast SOCP based statistical sizing in the microprocessor design flow
In this paper we have applied statistical sizing in an industrial setting. Efficient implementation of the statistical sizing algorithm is achieved by utilizing a dedicated interi...
Murari Mani, Mahesh Sharma, Michael Orshansky