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      Generalized Tensor Function via the Tensor Singular Value Decomposition based on the T-Product

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          Abstract

          In this paper, we present the definition of generalized tensor function according to the tensor singular value decomposition (T-SVD) via the tensor T-product. Also, we introduce the compact singular value decomposition (T-CSVD) of tensors via the T-product, from which the projection operators and Moore Penrose inverse of tensors are also obtained. We also establish the Cauchy integral formula for tensors by using the partial isometry tensors and applied it into the solution of tensor equations. In the last part of our paper, we establish the generalized tensor power and the Taylor expansion of tensors. Explicit generalized tensor functions are also listed.

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          Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging

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            Factorization strategies for third-order tensors

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              Exact Tensor Completion Using t-SVD

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                Author and article information

                Journal
                14 January 2019
                Article
                1901.04255
                e1ff7288-5630-4013-8cf7-75f1fdc62c7b

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                15A48, 15A69, 65F10, 65H10, 65N22
                23 pages
                math.NA

                Numerical & Computational mathematics
                Numerical & Computational mathematics

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