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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| Vydáno v: | Numerical algorithms Ročník 100; číslo 4; s. 1599 - 1615 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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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. |
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| 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 |
| Author_xml | – sequence: 1 givenname: Salma surname: Ouahidi fullname: Ouahidi, Salma email: salmaouahidi@gmail.com organization: Faculté des sciences de Rabat, Université Mohammed V – sequence: 2 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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| DOI | 10.1007/s11075-025-02070-4 |
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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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| Title | Tensor Interpolation |
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