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» Discrete stochastic optimization using linear interpolation
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ANOR
2011
104views more  ANOR 2011»
13 years 2 months ago
Using linear programming to analyze and optimize stochastic flow lines
Stefan Helber, Katja Schimmelpfeng, Raik Stolletz,...
HYBRID
2004
Springer
14 years 26 days ago
Inference Methods for Autonomous Stochastic Linear Hybrid Systems
We present a parameter inference algorithm for autonomous stochastic linear hybrid systems, which computes a maximum-likelihood model, given only a set of continuous output data of...
Hamsa Balakrishnan, Inseok Hwang, Jung Soon Jang, ...
VMCAI
2007
Springer
14 years 1 months ago
Constraint Solving for Interpolation
Interpolation is an important component of recent methods for program verification. It provides a natural and effective means for computing separation between the sets of ‘good...
Andrey Rybalchenko, Viorica Sofronie-Stokkermans
TSP
2012
12 years 3 months ago
Optimized Compact-Support Interpolation Kernels
Abstract—In this paper, we investigate the problem of designing compact-support interpolation kernels for a given class of signals. By using calculus of variations, we simplify t...
Ramtin Madani, Ali Ayremlou, Arash Amini, Farrokh ...
SIAMJO
2008
105views more  SIAMJO 2008»
13 years 7 months ago
On Stability of Multistage Stochastic Programs
We study the quantitative stability of linear multistage stochastic programs under perturbations of the underlying stochastic processes. It is shown that the optimal values behave...
Christian Küchler