A great deal of attention has been paid to solve the system of tensor equations in recent
years for its applications in various fields. In this paper, the Kaczmarz-like method, which is …

In this paper, we equivalently reformulate the tensor complementarity problem as a system
of fixed point equations. Based on this system, we propose the (extend) randomized …

The existence and uniqueness of solutions and fast algorithms for tensor complementarity
problems are hot topics in nowadays. We present a time-varying tensor complementarity …

Tensor recovery has recently arisen in a lot of application fields, such as transportation,
medical imaging, and remote sensing. Under the assumption that signals possess sparse …

Fixed point iterative approach for solving the third-order tensor linear complementarity
problems (TLCP) is presented in this paper. Theoretical analysis shows that the third-order …

Solving tensor systems is a common task in scientific computing and artificial intelligence. In
this paper, we propose a tensor randomized average Kaczmarz method with adaptive …

For solving tensor linear systems under the tensor–tensor t-product, we propose the
randomized average Kaczmarz (TRAK) algorithm, the randomized average Kaczmarz …

Randomized regularized Kaczmarz algorithms have recently been proposed to solve tensor
recovery models with {\it consistent} linear measurements. In this work, we propose a novel …

This paper presents three tensor randomized extended Kaczmarz methods for solving a
tensor inconsistent linear system of equations under the t-product between tensors. The …

For tensor linear systems with respect to the popular t‐product, we first present the sketch‐
and‐project method and its adaptive variants. Their Fourier domain versions are also …