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» Monte Carlo simulation approach to stochastic programming
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ASPDAC
2010
ACM
211views Hardware» more  ASPDAC 2010»
14 years 7 months ago
A fast analog mismatch analysis by an incremental and stochastic trajectory piecewise linear macromodel
To cope with an increasing complexity when analyzing analog mismatch in sub-90nm designs, this paper presents a fast non-MonteCarlo method to calculate mismatch in time domain. Th...
Hao Yu, Xuexin Liu, Hai Wang, Sheldon X.-D. Tan
JCC
2006
82views more  JCC 2006»
14 years 9 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
IPSN
2004
Springer
15 years 2 months ago
A probabilistic approach to inference with limited information in sensor networks
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
Rahul Biswas, Sebastian Thrun, Leonidas J. Guibas
76
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PG
2007
IEEE
15 years 3 months ago
GPU-Based Monte-Carlo Volume Raycasting
This paper presents a practical, high-quality, hardwareaccelerated volume rendering approach including scattering, environment mapping, and ambient occlusion. We examine the appli...
Christof Rezk-Salama
MOR
2007
140views more  MOR 2007»
14 years 9 months ago
Adaptive Control Variates for Finite-Horizon Simulation
Adaptive Monte Carlo methods are simulation efficiency improvement techniques designed to adaptively tune simulation estimators. Most of the work on adaptive Monte Carlo methods h...
Sujin Kim, Shane G. Henderson