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» Monte Carlo methods in the physical sciences
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IPPS
2008
IEEE
14 years 1 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...
CGF
2008
102views more  CGF 2008»
13 years 7 months ago
Sound Tracing: Rendering Listener Specific Acoustic Room Properties
We present an acoustic rendering approach visualizing the listener-specific contribution of frequency-dependent pressure fields on a scene geometry with acoustic reflection and sc...
Jens Bellmann, Frank Michel, Eduard Deines, Martin...
ISPA
2004
Springer
14 years 25 days ago
A Scalable Low Discrepancy Point Generator for Parallel Computing
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
Kwong-Ip Liu, Fred J. Hickernell
CPHYSICS
2004
89views more  CPHYSICS 2004»
13 years 7 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...
TOMACS
2011
139views more  TOMACS 2011»
13 years 2 months ago
The double CFTP method
We consider the problem of the exact simulation of random variables Z that satisfy the distributional identity Z L = V Y + (1 − V )Z, where V ∈ [0, 1] and Y are independent, an...
Luc Devroye, Lancelot F. James