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WSC
2007
13 years 9 months ago
Simulation 101 software: workshop and beyond
The C source code associated with the Simulation 101 preconference workshop (offered at the 2006 and 2007 Winter Simulation Conferences) is presented here. This paper begins with ...
Barry Lawson, Lawrence Leemis
ARC
2009
Springer
188views Hardware» more  ARC 2009»
14 years 2 months ago
Word-Length Optimization and Error Analysis of a Multivariate Gaussian Random Number Generator
Abstract. Monte Carlo simulation is one of the most widely used techniques for computationally intensive simulations in mathematical analysis and modeling. A multivariate Gaussian ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
SIAMJO
2002
124views more  SIAMJO 2002»
13 years 7 months ago
The Sample Average Approximation Method for Stochastic Discrete Optimization
In this paper we study a Monte Carlo simulation based approach to stochastic discrete optimization problems. The basic idea of such methods is that a random sample is generated and...
Anton J. Kleywegt, Alexander Shapiro, Tito Homem-d...
JAIR
2007
111views more  JAIR 2007»
13 years 7 months ago
Proactive Algorithms for Job Shop Scheduling with Probabilistic Durations
Most classical scheduling formulations assume a fixed and known duration for each activity. In this paper, we weaken this assumption, requiring instead that each duration can be ...
J. Christopher Beck, Nic Wilson
ISPA
2004
Springer
14 years 24 days ago
A Scalable Low Discrepancy Point Generator for Parallel Computing
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
Kwong-Ip Liu, Fred J. Hickernell