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» Dependence Modeling for Stochastic Simulation
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IJON
2007
93views more  IJON 2007»
15 years 4 months ago
How much can we trust neural simulation strategies?
Despite a steady improvement of computational hardware, results of numerical simulation are still tightly bound to the simulation tool and strategy used, and may substantially var...
Michelle Rudolph, Alain Destexhe
CODES
2007
IEEE
15 years 10 months ago
HySim: a fast simulation framework for embedded software development
Instruction Set Simulation (ISS) is widely used in system evaluation and software development for embedded processors. Despite the significant advancements in the ISS technology,...
Stefan Kraemer, Lei Gao, Jan Weinstock, Rainer Leu...
WSC
2004
15 years 5 months ago
Calibrating Credit Portfolio Loss Distributions
Determination of credit portfolio loss distributions is essential for the valuation and risk management of multiname credit derivatives such as CDOs. The default time model has re...
Menghui Cao, William J. Morokoff
HPCA
2003
IEEE
16 years 4 months ago
A Statistically Rigorous Approach for Improving Simulation Methodology
Due to cost, time, and flexibility constraints, simulators are often used to explore the design space when developing a new processor architecture, as well as when evaluating the ...
Joshua J. Yi, David J. Lilja, Douglas M. Hawkins
JVCA
2007
128views more  JVCA 2007»
15 years 4 months ago
Impulse-based dynamic simulation in linear time
This paper describes an impulse-based dynamic simulation method for articulated bodies which has a linear time complexity. Existing linear-time methods are either based on a reduc...
Jan Bender