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» Monte Carlo and discrete-event simulations in C and R
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COMPUTING
2006
130views more  COMPUTING 2006»
13 years 7 months ago
Dynamic Data Driven Simulations in Stochastic Environments
To improve the predictions in dynamic data driven simulations (DDDAS) for subsurface problems, we propose the permeability update based on observed measurements. Based on measurem...
Craig C. Douglas, Yalchin Efendiev, Richard E. Ewi...
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
ETT
2002
93views Education» more  ETT 2002»
13 years 7 months ago
Quantum simulation - rare event simulation by means of cloning, thinning and distortion
A method of rare event simulation, termed here quantum simulation, and known also (with some variations) as population Monte Carlo, and Sequential Markov Chain simulation, is appli...
R. G. Addie
ISQED
2003
IEEE
127views Hardware» more  ISQED 2003»
14 years 20 days ago
Statistical Modeling for Circuit Simulation
Accurate statistical simulation and modeling are important for IC design. Different types of statistical simulation require different types of statistical models. In this paper a ...
Colin C. McAndrew
SCFBM
2008
129views more  SCFBM 2008»
13 years 6 months ago
Faunus: An object oriented framework for molecular simulation
Background: We present a C++ class library for Monte Carlo simulation of molecular systems, including proteins in solution. The design is generic and highly modular, enabling mult...
Mikael Lund, Martin Trulsson, Björn Persson