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AUTOMATICA
2002
80views more  AUTOMATICA 2002»
14 years 11 months ago
Robust control of nonlinear systems with parametric uncertainty
Probabilistic robustness analysis and synthesis for nonlinear systems with uncertain parameters are presented. Monte Carlo simulation is used to estimate the likelihood of system ...
Qian Wang, Robert F. Stengel
IPMI
2005
Springer
16 years 21 days ago
Multi-figure Anatomical Objects for Shape Statistics
Abstract. Multi-figure m-reps allow us to represent and analyze a complex anatomical object by its parts, by relations among its parts, and by the object itself as a whole entity. ...
Qiong Han, Stephen M. Pizer, Derek Merck, Sarang C...
ICML
2003
IEEE
15 years 5 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
SCFBM
2008
92views more  SCFBM 2008»
14 years 11 months ago
CRANKITE: A fast polypeptide backbone conformation sampler
Background: CRANKITE is a suite of programs for simulating backbone conformations of polypeptides and proteins. The core of the suite is an efficient Metropolis Monte Carlo sample...
Alexei A. Podtelezhnikov, David L. Wild
CSC
2006
15 years 1 months ago
Parallel Load Balancing Heuristics for Radiative Heat Transfer Calculations
The computation of radiative effects by the Photon Monte Carlo method is computationally demanding, especially when complex, nongray absorption models are employed. To solve such c...
Kamal Viswanath, Ivana Veljkovic, Paul E. Plassman...