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» On Using Monte Carlo Methods for Scheduling
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JUCS
2006
114views more  JUCS 2006»
13 years 8 months ago
Pseudorandom Number Generation: Impossibility and Compromise
Abstract: Pseudorandom number generators are widely used in the area of simulation. Defective generators are still widely used in standard library programs, although better pseudor...
Makoto Matsumoto, Mutsuo Saito, Hiroshi Haramoto, ...
MP
2006
103views more  MP 2006»
13 years 8 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
ISQED
2005
IEEE
125views Hardware» more  ISQED 2005»
14 years 2 months ago
A New Method for Design of Robust Digital Circuits
As technology continues to scale beyond 100nm, there is a significant increase in performance uncertainty of CMOS logic due to process and environmental variations. Traditional c...
Dinesh Patil, Sunghee Yun, Seung-Jean Kim, Alvin C...
NIPS
2007
13 years 10 months ago
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
Rosetta is one of the leading algorithms for protein structure prediction today. It is a Monte Carlo energy minimization method requiring many random restarts to find structures ...
Ben Blum, Michael I. Jordan, David Kim, Rhiju Das,...
DFT
1997
IEEE
141views VLSI» more  DFT 1997»
14 years 1 months ago
Analysis of a Hybrid Defect-Tolerance Scheme for High-Density Memory ICs
Recent increases in the density and size of memory ICs made it ne cessary to search for new defect tolerance techniques since the traditional methods are no longer e ective enough...
Israel Koren, Zahava Koren