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INFORMATICALT
2000
104views more  INFORMATICALT 2000»
14 years 9 months ago
Nonlinear Stochastic Optimization by the Monte-Carlo Method
Methods for solving stochastic optimization problems by Monte-Carlo simulation are considered. The stoping and accuracy of the solutions is treated in a statistical manner, testing...
Leonidas Sakalauskas
DATE
2008
IEEE
112views Hardware» more  DATE 2008»
15 years 4 months ago
Adaptive Simulation for Single-Electron Devices
Single-electron devices have drawn much attention in the last two decades. They have been widely used for device research and also show promise as a potential alternative to compl...
Nicholas Allec, Robert G. Knobel, Li Shang
SAC
2008
ACM
14 years 9 months ago
Particle methods for maximum likelihood estimation in latent variable models
Standard methods for maximum likelihood parameter estimation in latent variable models rely on the Expectation-Maximization algorithm and its Monte Carlo variants. Our approach is ...
Adam M. Johansen, Arnaud Doucet, Manuel Davy
66
Voted
WSC
2007
14 years 12 months ago
Efficient Monte Carlo methods for convex risk measures in portfolio credit risk models
We discuss efficient Monte Carlo (MC) methods for the estimation of convex risk measures within the portfolio credit risk model CreditMetrics. Our focus lies on the Utilitybased ...
Jörn Dunkel, Stefan Weber
ICCAD
2004
IEEE
120views Hardware» more  ICCAD 2004»
15 years 6 months ago
A stochastic integral equation method for modeling the rough surface effect on interconnect capacitance
In this paper we describe a stochastic integral equation method for computing the mean value and the variance of capacitance of interconnects with random surface roughness. An ens...
Zhenhai Zhu, Jacob White, Alper Demir