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Convergence Rates of ESD

2009
In applications of asymptotic theorems of spectral analysis of large dimensional random matrices, one of the important problems is the convergence rate of the ESD. It had been puzzling probabilists for a long time until the papers of Bai [16, 17] were published.
Zhidong Bai, Jack W. Silverstein
openaire   +1 more source

Geometric Rates of Convergence

2018
We have seen in Chapter 11 that a positive recurrent irreducible kernel P on \(\mathsf {X}\times \mathscr {X}\) admits a unique invariant probability measure, say \(\pi \). If the kernel is, moreover, aperiodic, then the iterates of the kernel \(P^n(x,\cdot )\) converge to \(\pi \) in total variation distance for \(\pi \)-almost all \(x\in \mathsf {X}\)
Randal Douc   +3 more
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Stability and Convergence Rate

2020
The concept of stability introduced in the famous thesis of Lyapunov [1] is one of the central notions of the modern control theory. Many problems of state estimation and control can be reduced to a stability analysis or to a stabilization of solutions of certain dynamical models.
openaire   +1 more source

Convergence rate of inertial Forward–Backward algorithm beyond Nesterov’s rule

Mathematical programming, 2018
Vassilis Apidopoulos   +2 more
semanticscholar   +1 more source

A Novel Value Iteration Scheme With Adjustable Convergence Rate

IEEE Transactions on Neural Networks and Learning Systems, 2023
Ha Mingming, Ding Wang, Derong Liu
exaly  

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