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 ...

It gives the architecture of an optimized complex matrix inversion using Gauss-Jordan (GJ) elimination in Verilog with single precision floating-point representation.

R. Baker Kearfott, Preconditioners for the Interval Gauss-Seidel Method, SIAM Journal on Numerical Analysis, Vol. 27, No. 3 (Jun., 1990), pp. 804-822 ...

A research team from the University of British Columbia and Google has announced that they have developed a method called '3D Gaussian Splatting as a Markov Chain Monte Carlo Method' that ...