314 search results - page 12 / 63 » Optimizing efficiency of perturbative Monte Carlo method |
125
Voted
IPPS
2010
IEEE
14 years 7 months ago
2010
IEEE
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
53
Voted
SIAMSC
2008
14 years 9 months ago
2008
In this paper we introduce efficient Monte Carlo estimators for the valuation of high-dimensional derivatives and their sensitivities ("Greeks"). These estimators are ba...
116
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
We propose a novel tracking algorithm based on the Wang-Landau Monte Carlo sampling method which efficiently deals with the abrupt motions. Abrupt motions could cause conventional ...
ASPDAC
2000
ACM
15 years 2 months ago
2000
ACM
Simulated annealing has been one of the most popular stochastic optimization methods used in the VLSI CAD field in the past two decades for handling NP-hard optimization problems...
CG
2006
Springer
15 years 1 months ago
2006
Springer
In the last decade, proof-number search and Monte-Carlo methods have successfully been applied to the combinatorial-games domain. Proof-number search is a reliable algorithm. It re...