Abstract. Hankel tensors arise from applications such as signal processing. In this paper, we make an initial study on Hankel tensors. For each Hankel tensor, we associate a Hankel matrix and a higher order two-dimensional symmetric tensor, which we call the associated plane tensor. If the associated Hankel matrix is positive semi-definite, we call such a Hankel tensor a strong Hankel tensor. We show that an m order n-dimensional tensor is a Hankel tensor if and only if it has a Vandermonde decomposition. We call a Hankel tensor a complete Hankel tensor if it has a Vandermonde decomposition with positive coefficients. We prove that if a Hankel tensor is copositive or an even order Hankel tensor is positive semi-definite, then the associated...
This paper is contributed to a fast algorithm for Hankel tensor-vector products. First, we explain t...
In this paper, we extend some classes of structured matrices to higher-order tensors. We discuss the...
Anti-circulant tensors have applications in exponential data fitting. They are special Hankel tensor...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
PolyU Library Call No.: [THS] LG51 .H577P AMA 2016 WangQxxii, 130 pages :color illustrationsProblems...
The completely positive (CP) tensor verification and decomposition are essential in tensor analysis ...
Are there positive semi-denite (PSD) but not sums of squares (SOS) Hankel tensors? If the answer to ...
Front Cover ; Theory and Computation of Tensors: Multi-Dimensional Arrays ; Copyright ; Preface; Con...
We introduce M-tensors. This concept extends the concept of M-matrices. We denote Z-tensors as the t...
A symmetric positive semi-definite (PSD) tensor, which is not sum-of-squares (SOS), is called a PSD ...
Motivated by symmetric Cauchy matrices, we define symmetric Cauchy tensors and their generating vect...
Motivated by symmetric Cauchy matrices, we define symmetric Cauchy tensors and their generating vect...
International audienceThe Higher-Order Singular Value Decomposition (HOSVD) is a possible generaliza...
This paper is contributed to a fast algorithm for Hankel tensor-vector products. First, we explain t...
In this paper, we extend some classes of structured matrices to higher-order tensors. We discuss the...
Anti-circulant tensors have applications in exponential data fitting. They are special Hankel tensor...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
In this article, we present various new results on Cauchy tensors and Hankel tensors. We first intro...
PolyU Library Call No.: [THS] LG51 .H577P AMA 2016 WangQxxii, 130 pages :color illustrationsProblems...
The completely positive (CP) tensor verification and decomposition are essential in tensor analysis ...
Are there positive semi-denite (PSD) but not sums of squares (SOS) Hankel tensors? If the answer to ...
Front Cover ; Theory and Computation of Tensors: Multi-Dimensional Arrays ; Copyright ; Preface; Con...
We introduce M-tensors. This concept extends the concept of M-matrices. We denote Z-tensors as the t...
A symmetric positive semi-definite (PSD) tensor, which is not sum-of-squares (SOS), is called a PSD ...
Motivated by symmetric Cauchy matrices, we define symmetric Cauchy tensors and their generating vect...
Motivated by symmetric Cauchy matrices, we define symmetric Cauchy tensors and their generating vect...
International audienceThe Higher-Order Singular Value Decomposition (HOSVD) is a possible generaliza...
This paper is contributed to a fast algorithm for Hankel tensor-vector products. First, we explain t...
In this paper, we extend some classes of structured matrices to higher-order tensors. We discuss the...
Anti-circulant tensors have applications in exponential data fitting. They are special Hankel tensor...