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CGF
2002
129views more  CGF 2002»
13 years 4 months ago
Efficient Multidimensional Sampling
Image synthesis often requires the Monte Carlo estimation of integrals. Based on a generalized concept of stratification we present an efficient sampling scheme that consistently ...
Thomas Kollig, Alexander Keller
CPHYSICS
2004
89views more  CPHYSICS 2004»
13 years 4 months ago
Comprehensive suite of codes for plasma-edge modelling
The various aspects of plasma-edge physics are included in a comprehensive suite of codes having applications from industrial plasmas to fusion devices. Here the basic ideas, stat...
Ralf Schneider, Xavier Bonnin, Neil McTaggart, Ale...
CCE
2004
13 years 4 months ago
Improving convergence of the stochastic decomposition algorithm by using an efficient sampling technique
This work focuses on the basic stochastic decomposition (SD) algorithm of Higle and Sen [J.L. Higle, S. Sen, Stochastic Decomposition, Kluwer Academic Publishers, 1996] for two-st...
José María Ponce-Ortega, Vicente Ric...
TSP
2008
178views more  TSP 2008»
13 years 4 months ago
Monte Carlo Methods for Channel, Phase Noise, and Frequency Offset Estimation With Unknown Noise Variances in OFDM Systems
In this paper, we address the problem of orthogonal frequency-division multiplexing (OFDM) channel estimation in the presence of phase noise (PHN) and carrier frequency offset (CFO...
F. Septier, Yves Delignon, A. Menhaj-Rivenq, Chris...
TSP
2008
99views more  TSP 2008»
13 years 4 months ago
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
Martin Hurtado, Tong Zhao, Arye Nehorai
ANOR
2005
79views more  ANOR 2005»
13 years 4 months ago
The Cross-Entropy Method for Network Reliability Estimation
Abstract. Consider a network of unreliable links, modelling for example a communication network. Estimating the reliability of the network
Kin-Ping Hui, Nigel Bean, Miro Kraetzl, Dirk P. Kr...
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 4 months ago
Fast Monte Carlo Simulation Methods for Biological Reaction-Diffusion Systems in Solution and on Surfaces
Many important physiological processes operate at time and space scales far beyond those accessible to atom-realistic simulations, and yet discrete stochastic rather than continuum...
Rex A. Kerr, Thomas M. Bartol, Boris Kaminsky, Mar...
MP
2006
107views more  MP 2006»
13 years 4 months ago
Convergence theory for nonconvex stochastic programming with an application to mixed logit
Monte Carlo methods have been used extensively in the area of stochastic programming. As with other methods that involve a level of uncertainty, theoretical properties are required...
Fabian Bastin, Cinzia Cirillo, Philippe L. Toint
JCC
2006
82views more  JCC 2006»
13 years 4 months ago
Monte Carlo simulations of biomolecules: The MC module in CHARMM
: We describe the implementation of a general and flexible Monte Carlo (MC) module for the program CHARMM, which is used widely for modeling biomolecular systems with empirical ene...
Jie Hu, Ao Ma, Aaron R. Dinner
CSDA
2007
85views more  CSDA 2007»
13 years 4 months ago
Markov models for digraph panel data: Monte Carlo-based derivative estimation
A parametric, continuous-time Markov model for digraph panel data is considered. The parameter is estimated by the method of moments. A convenient method for estimating the varian...
Michael Schweinberger, Tom A. B. Snijders