May 2, 2018 · Abstract:We present a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that ...

We present a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that can only converge to a Z- ...

Abstract. We present a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that must converge ...

We present a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that must converge to a ...

We present a new framework for computing 𝑍 Z -eigenvectors of general tensors based on numerically integrating a dynamical system that can only converge to ...

This work presents a new framework for computing Z-eigenvectors of general tensors based on numerically integrating a dynamical system that can only ...

Oct 23, 2022 · I'm looking for models for generating a sequence of matrices. Specifically, I'm looking for a book, a paper (or plurals of each) that give ...

Mar 4, 2021 · The best answer I found : Eigenvalues are easiest to understand in terms of linear algebra. A square matrix represents a transformation on some ...

Abstract— In this paper, we provide a system theoretic treatment of certain continuous-time homogeneous polynomial dynamical systems (HPDS) via tensor ...

In this paper, we only study Z-eigenvalues and Z-eigenvectors. Z-eigenvalues of tensors have been used in graph matching, multilinear dynamical system (MDS) ...