T-symmetry offers insights into the nature of time, revealing how fundamental physical laws remain invariant under time ...

Based on the theory of generalized gauge transformation unifying the four fundamental interactions, this paper explores the theoretical foundation of the conversion from the electromagnetic tensor to ...

Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of ...

A tensor is like a matrix, which is a rectangular array of values arranged on two axes, rows and columns. But unlike a two-dimensional matrix, a tensor can have many dimensions, or axes, making ...

A tensor is like a matrix, which is a rectangular array of values arranged on two axes, rows and columns. But unlike a two-dimensional matrix, a tensor can have many dimensions, or axes, making ...

Motivated by this we review the main results on the algebraic classification of second order symmetric tensors in 5-dimensional space-times. All possible Segre types for a symmetric two-tensor are ...