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IOR
2008
91views more  IOR 2008»
13 years 7 months ago
A Randomized Quasi-Monte Carlo Simulation Method for Markov Chains
We introduce and study a randomized quasi-Monte Carlo method for estimating the state distribution at each step of a Markov chain. The number of steps in the chain can be random an...
Pierre L'Ecuyer, Christian Lécot, Bruno Tuf...
CEC
2003
IEEE
14 years 21 days ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
BIOINFORMATICS
2006
87views more  BIOINFORMATICS 2006»
13 years 7 months ago
COPASI - a COmplex PAthway SImulator
Simulation and modeling is becoming one of the standard approaches to understand complex biochemical processes. Therefore, there is a big need for software tools that allow access...
Stefan Hoops, Sven Sahle, Ralph Gauges, Christine ...
SMA
2008
ACM
154views Solid Modeling» more  SMA 2008»
13 years 7 months ago
Consistent computation of first- and second-order differential quantities for surface meshes
Differential quantities, including normals, curvatures, principal directions, and associated matrices, play a fundamental role in geometric processing and physics-based modeling. ...
Xiangmin Jiao, Hongyuan Zha
WSC
2007
13 years 9 months ago
Monte Carlo methods in the physical sciences
I will review the role that Monte Carlo methods play in the physical sciences. They are very widely used for a number of reasons: they permit the rapid and faithful transformation...
Malvin H. Kalos