Nonlinear approximation in N-dimension with the help of summability methods

2021 ◽  
Vol 115 (3) ◽  
Author(s):  
Ismail Aslan ◽  
Oktay Duman
Keyword(s):  
Nonlinear Approximation ◽  
Summability Methods

Nonlinear Approximation and (Deep) $$\mathrm {ReLU}$$ Networks

2021 ◽  
Author(s):  
I. Daubechies ◽  
R. DeVore ◽  
S. Foucart ◽  
B. Hanin ◽  
G. Petrova
Keyword(s):  
Nonlinear Approximation

Summability methods and almost sure convergence

1985 ◽  
Vol 68 (3) ◽  
pp. 383-392 ◽  
Author(s):  
N. H. Bingham ◽  
Makoto Maejima
Keyword(s):  
Almost Sure Convergence ◽  
Summability Methods

A nonlinear approximation for vortex sheet evolution and singularity formation

1990 ◽  
Vol 41 (2) ◽  
pp. 197-207 ◽  
Author(s):  
Russel E. Caflisch ◽  
Stephen Semmes
Keyword(s):  
Nonlinear Approximation ◽  
Vortex Sheet ◽  
Singularity Formation

On the importance of combining wavelet-based nonlinear approximation with coding strategies

2002 ◽  
Vol 48 (7) ◽  
pp. 1895-1921 ◽  
Author(s):  
A. Cohen ◽  
I. Daubechies ◽  
O.G. Guleryuz ◽  
M.T. Orchard
Keyword(s):  
Nonlinear Approximation ◽  
Coding Strategies

scholarly journals On Dirichlet convolution method

1998 ◽  
Vol 21 (3) ◽  
pp. 607-611
Author(s):  
Indulata Sukla
Keyword(s):  
Summability Methods ◽  
Dirichlet Convolution ◽  
Convolution Method

In this paper we have proved limitation theorem for(D,h(n))summability methods and have shown that it is best possible.

Nonlinear Approximation of Random Functions

1997 ◽  
Vol 57 (2) ◽  
pp. 518-540 ◽  
Author(s):  
Albert Cohen ◽  
Jean-Pierre D'Ales
Keyword(s):  
Nonlinear Approximation ◽  
Random Functions
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