Tensor Interpolation

In this paper, we develop a new Lagrange tensor interpolation. We define tensorial jordanisation which gives us a practical method to calculate the coefficients of our tensor interpolating polynomial. Unlike what happens in the case of matrices where the product is simpler, there are multiple tensor...

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Published in:Numerical algorithms Vol. 100; no. 4; pp. 1599 - 1615
Main Authors: Ouahidi, Salma, Sadaka, Rachid
Format: Journal Article
Language:English
Published: New York Springer US 01.12.2025
Springer Nature B.V
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ISSN:1017-1398, 1572-9265
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Abstract In this paper, we develop a new Lagrange tensor interpolation. We define tensorial jordanisation which gives us a practical method to calculate the coefficients of our tensor interpolating polynomial. Unlike what happens in the case of matrices where the product is simpler, there are multiple tensorial products; we use the T -product and develop a new product which is most suitable for our work, we determine the coefficients of our interpolating polynomial as well as give the expression of the Langrange tensor interpolating polynomial. Furthermore, we will give examples of the effectiveness of this method in interpolating tensorial functions.
AbstractList In this paper, we develop a new Lagrange tensor interpolation. We define tensorial jordanisation which gives us a practical method to calculate the coefficients of our tensor interpolating polynomial. Unlike what happens in the case of matrices where the product is simpler, there are multiple tensorial products; we use the T -product and develop a new product which is most suitable for our work, we determine the coefficients of our interpolating polynomial as well as give the expression of the Langrange tensor interpolating polynomial. Furthermore, we will give examples of the effectiveness of this method in interpolating tensorial functions.
In this paper, we develop a new Lagrange tensor interpolation. We define tensorial jordanisation which gives us a practical method to calculate the coefficients of our tensor interpolating polynomial. Unlike what happens in the case of matrices where the product is simpler, there are multiple tensorial products; we use the T-product and develop a new product which is most suitable for our work, we determine the coefficients of our interpolating polynomial as well as give the expression of the Langrange tensor interpolating polynomial. Furthermore, we will give examples of the effectiveness of this method in interpolating tensorial functions.
Author Sadaka, Rachid
Ouahidi, Salma
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  organization: Faculté des sciences de Rabat, Université Mohammed V
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  givenname: Rachid
  surname: Sadaka
  fullname: Sadaka, Rachid
  organization: Ecole normale supérieure de Rabat, Université Mohammed V
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Cites_doi 10.1016/j.jat.2015.06.006
10.1512/iumj.1981.30.30027
10.1016/0024-3795(78)90026-5
10.3390/math8081298
10.1016/0024-3795(94)90005-1
10.1007/978-3-0348-6558-6
10.1137/110837711
10.1080/03081088208817483
10.1016/j.laa.2010.09.020
10.1007/s10589-020-00231-w
10.1016/0377-0427(83)90008-0
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The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
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T-product
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SubjectTerms Algebra
Algorithms
Computer Science
Fourier transforms
Interpolation
Numeric Computing
Numerical Analysis
Polynomials
Tensors
Theory of Computation
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