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» Minimization of an M-convex Function
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DAC
1999
ACM
14 years 1 months ago
Using Lower Bounds During Dynamic BDD Minimization
Ordered Binary Decision Diagrams BDDs are a data structure for representation and manipulation of Boolean functions often applied in VLSI CAD. The choice of the variable orderin...
Rolf Drechsler, Wolfgang Günther
IOR
2002
88views more  IOR 2002»
13 years 8 months ago
An Adaptive Bayesian Replacement Policy with Minimal Repair
In this study, an adaptive Bayesian decision model is developed to determine the optimal replacement age for the systems maintained according to a general age replacement policy. I...
Savas Dayanik, Ülkü Gürler
SIAMSC
2010
104views more  SIAMSC 2010»
13 years 7 months ago
A New Sobolev Gradient Method for Direct Minimization of the Gross--Pitaevskii Energy with Rotation
Abstract. In this paper we improve traditional steepest descent methods for the direct minimization of the Gross-Pitaevskii (GP) energy with rotation at two levels. We first defi...
Ionut Danaila, Parimah Kazemi
EUSFLAT
2009
175views Fuzzy Logic» more  EUSFLAT 2009»
13 years 7 months ago
The Minimization of the Risk of Falling in Portfolios under Uncertainty
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
Yuji Yoshida
ICCV
2003
IEEE
14 years 11 months ago
Minimally-Supervised Classification using Multiple Observation Sets
This paper discusses building complex classifiers from a single labeled example and vast number of unlabeled observation sets, each derived from observation of a single process or...
Chris Stauffer