Optimal convergence rate for Yosida approximations of bounded holomorphic semigroups

2009 ◽  
Vol 49 (2) ◽  
pp. 234-239 ◽  
Author(s):  
M. Vilkienė
Keyword(s):  
Convergence Rate ◽  
Optimal Convergence Rate ◽  
Holomorphic Semigroups ◽  
Optimal Convergence ◽  
Bounded Holomorphic

scholarly journals Topology design for distributed formation control towards optimal convergence rate

2012 ◽  
Author(s):  
Huang Huang ◽  
Changbin Yu ◽  
Azwirman Gusrialdi ◽  
Sandra Hirche
Keyword(s):  
Convergence Rate ◽  
Formation Control ◽  
Topology Design ◽  
Optimal Convergence Rate ◽  
Optimal Convergence

Reachability of Optimal Convergence Rate Estimates for High-Order Numerical Convex Optimization Methods

2019 ◽  
Vol 99 (1) ◽  
pp. 91-94
Author(s):  
A. V. Gasnikov ◽  
E. A. Gorbunov ◽  
D. A. Kovalev ◽  
A. A. M. Mokhammed ◽  
E. O. Chernousova
Keyword(s):  
Convex Optimization ◽  
Convergence Rate ◽  
Optimization Methods ◽  
High Order ◽  
Optimal Convergence Rate ◽  
Optimal Convergence

scholarly journals The optimal convergence rate of a C1 finite element method for non-smooth domains

2010 ◽  
Vol 233 (10) ◽  
pp. 2711-2723 ◽  
Author(s):  
Ana Maria Soane ◽  
Manil Suri ◽  
Rouben Rostamian
Keyword(s):  
Finite Element Method ◽  
Finite Element ◽  
Convergence Rate ◽  
Optimal Convergence Rate ◽  
Optimal Convergence ◽  
Element Method

Trimmed estimators for large dimensional sparse covariance matrices

2018 ◽  
Vol 08 (01) ◽  
pp. 1950003
Author(s):  
Guangren Yang ◽  
Xia Cui
Keyword(s):  
Convergence Rate ◽  
Covariance Matrix ◽  
Covariance Matrices ◽  
Optimal Convergence Rate ◽  
Sample Covariance Matrices ◽  
Optimal Convergence ◽  
Sample Covariance ◽  
Starting Point ◽  
Pairwise Product

In this paper, we will propose two new estimators for sparse covariance matrix. Our starting point is to make the estimator of each element of covariance matrix more robust. More precisely, we will trim the observations for each pairwise product of components of population as a first step. Then we form the sample covariance matrices based on the trimmed data. Finally, we apply the thresholding to the derived sample covariance matrices. These two new estimators will be shown to achieve the optimal convergence rate.

scholarly journals The Optimal Convergence Rate of Monotone Schemes for Conservation Laws in the Wasserstein Distance

2019 ◽  
Vol 80 (3) ◽  
pp. 1764-1776
Author(s):  
Adrian M. Ruf ◽  
Espen Sande ◽  
Susanne Solem
Keyword(s):  
Convergence Rate ◽  
Conservation Laws ◽  
Wasserstein Distance ◽  
Optimal Convergence Rate ◽  
Optimal Convergence ◽  
Monotone Schemes

Quasi-optimal Convergence Rate for an Adaptive Boundary Element Method

2013 ◽  
Vol 51 (2) ◽  
pp. 1327-1348 ◽  
Author(s):  
M. Feischl ◽  
M. Karkulik ◽  
J. M. Melenk ◽  
D. Praetorius
Keyword(s):  
Boundary Element Method ◽  
Convergence Rate ◽  
Boundary Element ◽  
Optimal Convergence Rate ◽  
Optimal Convergence ◽  
Element Method

Optimal convergence rate for Maxwell–Landau–Lifschitz system

2004 ◽  
Vol 343 (1-4) ◽  
pp. 236-240 ◽  
Author(s):  
Ivan Cimrák ◽  
Marián Slodička
Keyword(s):  
Convergence Rate ◽  
Optimal Convergence Rate ◽  
Optimal Convergence
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