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WSC
1997
13 years 11 months ago
An Integrated Framework for Deterministic and Stochastic Optimization
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Leyuan Shi, Sigurdur Ólafsson
ALGORITHMICA
2008
78views more  ALGORITHMICA 2008»
13 years 10 months ago
Optimally Adaptive Integration of Univariate Lipschitz Functions
We consider the problem of approximately integrating a Lipschitz function f (with a known Lipschitz constant) over an interval. The goal is to achieve an error of at most using as...
Ilya Baran, Erik D. Demaine, Dmitriy A. Katz
BIB
2008
82views more  BIB 2008»
13 years 10 months ago
Three lectures on case-control genetic association analysis
The purpose of this review is to focus on the three most important themes in genetic association studies using randomly selected patients (case, affected) and normal samples (cont...
Wentian Li
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 10 months ago
Free deconvolution for signal processing applications
—Situations in many fields of research, such as digital communications, nuclear physics and mathematical finance, can be modelled with random matrices. When the matrices get la...
Øyvind Ryan, Mérouane Debbah
MP
2002
93views more  MP 2002»
13 years 10 months ago
Conditioning of convex piecewise linear stochastic programs
In this paper we consider stochastic programming problems where the objective function is given as an expected value of a convex piecewise linear random function. With an optimal s...
Alexander Shapiro, Tito Homem-de-Mello, Joocheol K...