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» Optimizing efficiency of perturbative Monte Carlo method
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149
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PVM
1998
Springer
15 years 7 months ago
Implementation of Monte Carlo Algorithms for Eigenvalue Problem Using MPI
The problem of evaluating the dominant eigenvalue of real matrices using Monte Carlo numerical methods is considered. Three almost optimal Monte Carlo algorithms are presented:
Ivan Dimov, Vassil N. Alexandrov, Aneta Karaivanov...
117
Voted
WSC
2004
15 years 5 months ago
Approximating Free Exercise Boundaries for American-Style Options Using Simulation and Optimization
Monte Carlo simulation can be readily applied to asset pricing problems with multiple state variables and possible path dependencies because convergence of Monte Carlo methods is ...
Barry R. Cobb, John M. Charnes
153
Voted
FGCS
2008
127views more  FGCS 2008»
15 years 3 months ago
Monte Carlo methods for matrix computations on the grid
Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for d...
Simon Branford, Cihan Sahin, Ashish Thandavan, Chr...
145
Voted
DAC
2010
ACM
15 years 3 months ago
QuickYield: an efficient global-search based parametric yield estimation with performance constraints
With technology scaling down to 90nm and below, many yield-driven design and optimization methodologies have been proposed to cope with the prominent process variation and to incr...
Fang Gong, Hao Yu, Yiyu Shi, Daesoo Kim, Junyan Re...
149
Voted
AMDO
2008
Springer
15 years 5 months ago
Inverse Kinematics Using Sequential Monte Carlo Methods
Abstract. In this paper we propose an original approach to solve the Inverse Kinematics problem. Our framework is based on Sequential Monte Carlo Methods and has the advantage to a...
Nicolas Courty, Elise Arnaud