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» Introduction to Monte Carlo simulation
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DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 2 months ago
Digital statistical analysis using VHDL
—Variations of process parameters have an important impact on reliability and yield in deep sub micron IC technologies. One methodology to estimate the influence of these effects...
Manfred Dietrich, Uwe Eichler, Joachim Haase
QEST
2008
IEEE
15 years 4 months ago
CaVi -- Simulation and Model Checking for Wireless Sensor Networks
CaVi provides a uniform interface to state-of-the-art simulation methods and formal verification methods for wireless sensor network. Simulation is suitable to examine the behavi...
Athanassios Boulis, Ansgar Fehnker, Matthias Fruth...
ASPDAC
2007
ACM
156views Hardware» more  ASPDAC 2007»
15 years 1 months ago
PLLSim - An Ultra Fast Bang-Bang Phase Locked Loop Simulation Tool
- This paper presents a simulation tool targeted specifically at bang-bang type phase locked loop systems. The aim of this simulator is to quickly and accurately predict important ...
Michael Chan, Adam Postula, Yong Ding
ASPDAC
1999
ACM
112views Hardware» more  ASPDAC 1999»
15 years 2 months ago
Relaxed Simulated Tempering for VLSI Floorplan Designs
In the past two decades, the simulated annealing technique has been considered as a powerful approach to handle many NP-hard optimization problems in VLSI designs. Recently, a new...
Jason Cong, Tianming Kong, Dongmin Xu, Faming Lian...
WSC
2007
15 years 3 days ago
Estimating tranche spreads by loss process simulation
A credit derivative is a path dependent contingent claim on the aggregate loss in a portfolio of credit sensitive securities. We estimate the value of a credit derivative by Monte...
Kay Giesecke, Baeho Kim