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MOC
2000
86views more  MOC 2000»
13 years 4 months ago
Numerical algorithms for semilinear parabolic equations with small parameter based on approximation of stochastic equations
The probabilistic approach is used for constructing special layer methods to solve the Cauchy problem for semilinear parabolic equations with small parameter. Despite their probabi...
G. N. Milstein, M. V. Tretyakov
SIAMNUM
2010
126views more  SIAMNUM 2010»
12 years 11 months ago
Solving BSDE with Adaptive Control Variate
We present and analyze an algorithm to solve numerically BSDEs based on Picard's iterations and on a sequential control variate technique. Its convergence is geometric. Moreov...
Emmanuel Gobet, Céline Labart
AMC
2008
86views more  AMC 2008»
13 years 5 months ago
Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto
SIAMNUM
2010
96views more  SIAMNUM 2010»
12 years 11 months ago
A Stochastic Algorithm for Parametric Sensitivity in Smoluchowski's Coagulation Equation
Abstract. In this article a stochastic particle system approximation to the parametric sensitivity in the Smoluchowski coagulation equation is introduced. The parametric sensitivit...
Ismaël F. Bailleul, Peter L. W. Man, Markus K...
JMLR
2010
148views more  JMLR 2010»
12 years 11 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal