In this paper, the properties of the generalized inverse of an arbitrary incidence matrix are examined in connection with the properties of the network flows in the corresponding directed graph and a ...

Random matrix theory (RMT) has emerged as a powerful framework for analysing complex systems across physics, statistics and beyond, by examining the statistical properties of matrices with random ...

Matrix-variate Gaussian graphical models (GGM) have been widely used for modeling matrix-variate data. Since the support of sparse precision matrix represents the conditional independence graph among ...

Random Matrix Theory and Phase Transitions Publication Trend The graph below shows the total number of publications each year in Random Matrix Theory and Phase Transitions.