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» Monte Carlo simulation approach to stochastic programming
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CVPR
2009
IEEE
15 years 7 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
15 years 6 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
ICCAD
2004
IEEE
120views Hardware» more  ICCAD 2004»
15 years 6 months ago
A stochastic integral equation method for modeling the rough surface effect on interconnect capacitance
In this paper we describe a stochastic integral equation method for computing the mean value and the variance of capacitance of interconnects with random surface roughness. An ens...
Zhenhai Zhu, Jacob White, Alper Demir
CCE
2010
14 years 6 months ago
Multi-scale methods and complex processes: A survey and look ahead
AbstrAct A comprehensive overview of numerical methodologies currently available for analyzing and building understanding of complex processes is presented. Both equation-free and ...
Angelo Lucia
MCS
2007
Springer
14 years 9 months ago
Computing the principal eigenvalue of the Laplace operator by a stochastic method
We describe a Monte Carlo method for the numerical computation of the principal eigenvalue of the Laplace operator in a bounded domain with Dirichlet conditions. It is based on th...
Antoine Lejay, Sylvain Maire