Abstract
AbstractThe tensor t-function, a formalism that generalizes the well-known concept of matrix functions to third-order tensors, is introduced in Lund (Numer Linear Algebra Appl 27(3):e2288). In this work, we investigate properties of the Fréchet derivative of the tensor t-function and derive algorithms for its efficient numerical computation. Applications in condition number estimation and nuclear norm minimization are explored. Numerical experiments implemented by the toolbox hosted at https://gitlab.com/katlund/t-frechet illustrate properties of the t-function Fréchet derivative, as well as the efficiency and accuracy of the proposed algorithms.
Funder
Max Planck Institute for Dynamics of Complex Technical Systems (MPI Magdeburg)
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,Algebra and Number Theory
Cited by
1 articles.
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1. Perturbation Analysis on T-Eigenvalues of Third-Order Tensors;Journal of Optimization Theory and Applications;2024-05-10