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>...

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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
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author Alaa El Ichi
Khalide Jbilou
Rachid Sadaka
author_facet Alaa El Ichi
Khalide Jbilou
Rachid Sadaka
author_sort Alaa El Ichi
collection DOAJ
description 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></math></inline-formula>-type algorithms. We will define new tensor products that will be used to introduce global tensor extrapolation methods. We discuss the application of these methods to the solution of linear and non linear tensor systems of equations and propose an efficient implementation of these methods via the global-QR decomposition.
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spelling doaj.art-0c80521a26da4a9b94eafe412d0ad87d2023-11-20T09:13:09ZengMDPI AGMathematics2227-73902020-08-0188129810.3390/math8081298Tensor Global Extrapolation Methods Using the n-Mode and the Einstein ProductsAlaa El Ichi0Khalide Jbilou1Rachid Sadaka2LABMIA-SI, Department of Mathematics, University Mohammed V Rabat, Rabat 10000, MoroccoDepartment of Mathematics LMPA, 50 rue F. Buisson, ULCO, 62100 Calais, FranceLABMIA-SI, Department of Mathematics, University Mohammed V Rabat, Rabat 10000, MoroccoIn 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></math></inline-formula>-type algorithms. We will define new tensor products that will be used to introduce global tensor extrapolation methods. We discuss the application of these methods to the solution of linear and non linear tensor systems of equations and propose an efficient implementation of these methods via the global-QR decomposition.https://www.mdpi.com/2227-7390/8/8/1298Einstein productKrylov subspacessequence transformationtensor extrapolation
spellingShingle Alaa El Ichi
Khalide Jbilou
Rachid Sadaka
Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
Mathematics
Einstein product
Krylov subspaces
sequence transformation
tensor extrapolation
title Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
title_full Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
title_fullStr Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
title_full_unstemmed Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
title_short Tensor Global Extrapolation Methods Using the n-Mode and the Einstein Products
title_sort tensor global extrapolation methods using the n mode and the einstein products
topic Einstein product
Krylov subspaces
sequence transformation
tensor extrapolation
url https://www.mdpi.com/2227-7390/8/8/1298
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AT rachidsadaka tensorglobalextrapolationmethodsusingthenmodeandtheeinsteinproducts