Results 281 to 290 of about 4,474,845 (304)

An Asymptotically Optimal Set Approach for Simulation Optimization

INFORMS Journal on Computing, 2019
We propose an asymptotically optimal set (AOS) approach for solving stochastic optimization problems with discrete or continuous feasible regions. Our AOS approach is a framework for designing provably convergent algorithms that are adaptive in seeking new points and in resampling or discarding already sampled points.
Liujia Hu, Sigrún Andradóttir
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Asymptotic Optimality of Isoperimetric Constants

Journal of Theoretical Probability, 2011
This paper deals with the \(L^2\)-geometrically ergodic convergence in terms of the isoperimetric method. The geometric method is well known and has been used a lot in the last two decades. As illustrated by some examples in Section 5 of the paper, the method can be asymptotically optimal, even though this does not happen often. Generally speaking, the
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Asymptotically optimal dualization algorithms

Computational Mathematics and Mathematical Physics, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Djukova, E. V., Prokofjev, P. A.
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Asymptotic Optimality Conditions

2001
Optimality of a feasible point in convex programming has been characterized in Section 3.4 using the minimal index set of active constraints, i.e., using the constraints that are equal to zero on the entire feasible set. Now a different strategy will be used.
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Asymptotically optimal block quantization

IEEE Transactions on Information Theory, 1979
In 1948 W. R. Bennett used a companding model for nonuniform quantization and proposed the formula D \: = \: \frac{1}{12N^{2}} \: \int \: p(x) [ E(x) ]^{-2} \dx for the mean-square quantizing error where N is the number of levels, p (x) is the probability density of the input, and E \prime (x) is the slope of the compressor curve.
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The asymptotically optimal tests

Journal of the Royal Statistical Society: Series D (The Statistician), 1997
This paper reviews the asymptotically optimal tests: the likelihood ratio, score and Wald tests, with emphasis on the score and Wald tests. These tests are also given after a linear transformation of the parameter space. Use of this approach often simplifies the calculations involved, especially when multiple tests are to be derived.
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Asymptotic optimality of D-CuSum for quickest change detection under transient dynamics

International Symposium on Information Theory, 2017
Shaofeng Zou, Georgios Fellouris, V. Veeravalli   +2 more
semanticscholar   +1 more source

Asymptotic optimality of BestFit for stochastic bin packing

PERV, 2014
Javad Ghaderi, Y. Zhong, R. Srikant
semanticscholar   +1 more source

Toward Blind Scheduling in Mobile Media Cloud: Fairness, Simplicity, and Asymptotic Optimality

IEEE transactions on multimedia, 2013
Liang Zhou, Haohong Wang
semanticscholar   +1 more source

Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging

Journal of Control Theory and Applications, 2013
G. Yin, L. Wang, Yu Sun, D. Casbeer, Raymond Holsapple, Derek B. Kingston   +5 more
semanticscholar   +1 more source