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Rate of convergence

Known as: R-linear, Q-linear, Speed of convergence 
In numerical analysis, the speed at which a convergent sequence approaches its limit is called the rate of convergence. Although strictly speaking, a… Expand
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Papers overview

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Review
2018
Review
2018
In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node… Expand
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Review
2017
Review
2017
ABSTRACT This tutorial provides a gentle introduction to kernel density estimation (KDE) and recent advances regarding confidence… Expand
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Highly Cited
2012
Highly Cited
2012
We propose a new stochastic gradient method for optimizing the sum of a finite set of smooth functions, where the sum is strongly… Expand
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Highly Cited
2011
Highly Cited
2011
We consider the problem of optimizing the sum of a smooth convex function and a non-smooth convex function using proximal… Expand
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Highly Cited
2003
Highly Cited
2003
The particle swarm optimization algorithm is analyzed using standard results from the dynamic system theory. Graphical parameter… Expand
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Highly Cited
2001
Highly Cited
2001
It is well known that the analysis of the large-time asymptotics of Fokker-Planck type equations by the entropy method is closely… Expand
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Highly Cited
1996
Highly Cited
1996
There are two sources of inconsistency in existing cross-country empirical work on growth: correlated individual effects and… Expand
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Highly Cited
1984
Highly Cited
1984
The annealing algorithm is a stochastic optimization method which has attracted attention because of its success with certain… Expand
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Highly Cited
1983
Highly Cited
1983