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» Introduction to modeling and generating probabilistic input ...
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WSC
1997
13 years 6 months ago
Seven Habits of Highly Successful Input Modelers
Discrete-event simulation models typically have stochastic components that mimic the probabilistic nature of the system under consideration. Successful input modeling requires a c...
Lawrence Leemis
ICCAD
1999
IEEE
81views Hardware» more  ICCAD 1999»
13 years 9 months ago
Modeling design constraints and biasing in simulation using BDDs
Constraining and input biasing are frequently used techniques in functional verification methodologies based on randomized simulation generation. Constraints confine the simulatio...
Jun Yuan, Kurt Shultz, Carl Pixley, Hillel Miller,...
WSC
1997
13 years 6 months ago
Modeling Dependencies in Stochastic Simulation Inputs
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
James R. Wilson
WSC
2004
13 years 6 months ago
Building Credible Input Models
Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Lawrence Leemis