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» Performance modeling using Monte Carlo simulation
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LSSC
2001
Springer
15 years 4 months ago
Solving Systems of Linear Algebraic Equations Using Quasirandom Numbers
In this paper we analyze a quasi-Monte Carlo method for solving systems of linear algebraic equations. It is well known that the convergence of Monte Carlo methods for numerical in...
Aneta Karaivanova, Rayna Georgieva
GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
15 years 27 days ago
A formal performance modeling framework for bio-inspired ad hoc routing protocols
Bio-inspired ad hoc routing is an active area of research. The designers of these algorithms predominantly evaluate the performance of their protocols with the help of simulation ...
Muhammad Saleem, Syed Ali Khayam, Muddassar Farooq
BMCBI
2007
104views more  BMCBI 2007»
14 years 12 months ago
A response to Yu et al. "A forward-backward fragment assembling algorithm for the identification of genomic amplification and de
Background: Yu et al. (BMC Bioinformatics 2007,8: 145+) have recently compared the performance of several methods for the detection of genomic amplification and deletion breakpoin...
Oscar M. Rueda, Ramón Díaz-Uriarte
ISVLSI
2007
IEEE
204views VLSI» more  ISVLSI 2007»
15 years 6 months ago
Designing Memory Subsystems Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance ...
Mahmoud Ben Naser, Yao Guo, Csaba Andras Moritz
DATE
2010
IEEE
171views Hardware» more  DATE 2010»
15 years 5 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