Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
In this paper, we present new Tensor extrapolation methods as generalizations of well known vector, matrix and block extrapolation methods such as polynomial extrapolation methods or <inline-formula><math display="inline"><semantics><mi>ϵ</mi></semantics>...
Main Authors: | Alaa El Ichi, Khalide Jbilou, Rachid Sadaka |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/8/8/1298 |
Similar Items
-
A Multidimensional Principal Component Analysis via the C-Product Golub–Kahan–SVD for Classification and Face Recognition
by: Mustapha Hached, et al.
Published: (2021-05-01) -
A Flexible Extended Krylov Subspace Method for Approximating Markov Functions of Matrices
by: Shengjie Xu, et al.
Published: (2023-10-01) -
On Some Extended Block Krylov Based Methods for Large Scale Nonsymmetric Stein Matrix Equations
by: Abdeslem Hafid Bentbib, et al.
Published: (2017-03-01) -
Smooth PLS Regression for Spectral Data
by: Athanasios Kondylis
Published: (2022-08-01) -
Extrapolation methods : theory and practice /
by: Brezinski, Claude, 1941-, et al.
Published: (1991)