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» Monte Carlo simulation approach to stochastic programming
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FS
2011
168views more  FS 2011»
14 years 9 months ago
Gamma expansion of the Heston stochastic volatility model
Abstract We derive an explicit representation of the transitions of the Heston stochastic volatility model and use it for fast and accurate simulation of the model. Of particular i...
Paul Glasserman, Kyoung-Kuk Kim
DAC
1996
ACM
15 years 10 months ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor
ICS
1998
Tsinghua U.
15 years 10 months ago
Techniques for Empirical Testing of Parallel Random Number Generators
Parallel computers are now commonly used for computational science and engineering, and many applications in these areas use random number generators. For some applications, such ...
Paul D. Coddington, Sung Hoon Ko
VLSID
2002
IEEE
94views VLSI» more  VLSID 2002»
16 years 6 months ago
Timing Yield Calculation Using an Impulse-Train Approach
This paper presents a new method to compute the probability distribution of the delay of a combinational circuit and uses it obtain an estimate of the yield of the process that ma...
Srinath R. Naidu
TOMACS
2011
139views more  TOMACS 2011»
15 years 1 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