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» Robust optimization - methodology and applications
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GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
16 years 12 hour ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...
JSCIC
2008
55views more  JSCIC 2008»
15 years 6 months ago
Modified Optimal Prediction and its Application to a Particle-Method Problem
Abstract The paper is concerned with system reduction by statistical methods and, in particular, by the optimal prediction method introduced in (Chorin, A.J., Hald, O.H., Kupferman...
Alina Chertock, David Gottlieb, Alex Solomonoff
DISOPT
2008
99views more  DISOPT 2008»
15 years 6 months ago
Computing robust basestock levels
This paper considers how to optimally set the basestock level for a single buffer when demand is uncertain, in a robust framework. We present a family of algorithms based on decom...
Daniel Bienstock, Nuri Özbay
CORR
2006
Springer
135views Education» more  CORR 2006»
15 years 6 months ago
Robust Distributed Source Coding
We consider a distributed source coding system in which several observations must be encoded separately and communicated to the decoder by using limited transmission rate. We intro...
Jun Chen, Toby Berger
ICASSP
2010
IEEE
15 years 6 months ago
Guaranteed robust distributed estimation in a network of sensors
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
Jean-Benoist Leger, Michel Kieffer