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» Reformulating Constraint Models Using Input Data
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157
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MP
2002
195views more  MP 2002»
15 years 2 months ago
Nonlinear rescaling vs. smoothing technique in convex optimization
We introduce an alternative to the smoothing technique approach for constrained optimization. As it turns out for any given smoothing function there exists a modification with part...
Roman A. Polyak
151
Voted
FOCS
2004
IEEE
15 years 6 months ago
Stochastic Optimization is (Almost) as easy as Deterministic Optimization
Stochastic optimization problems attempt to model uncertainty in the data by assuming that (part of) the input is specified in terms of a probability distribution. We consider the...
David B. Shmoys, Chaitanya Swamy
131
Voted
ER
2010
Springer
129views Database» more  ER 2010»
15 years 1 months ago
Specifying Aggregation Functions in Multidimensional Models with OCL
Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satis...
Jordi Cabot, Jose-Norberto Mazón, Jes&uacut...
185
Voted
ISMIS
2005
Springer
15 years 8 months ago
Statistical Database Modeling for Privacy Preserving Database Generation
Abstract. Testing of database applications is of great importance. Although various studies have been conducted to investigate testing techniques for database design, relatively fe...
Xintao Wu, Yongge Wang, Yuliang Zheng
116
Voted
ISPD
2006
ACM
126views Hardware» more  ISPD 2006»
15 years 8 months ago
Noise driven in-package decoupling capacitor optimization for power integrity
The existing decoupling capacitance optimization approaches meet constraints on input impedance for package. In this paper, we show that using impedance as constraints leads to la...
Jun Chen, Lei He