Computing the inverse of a matrix is one of the most important operations in machine learning. If some matrix A has shape n-by-n, then its inverse matrix Ai is n-by-n and the matrix product of Ai * A ...

Abstract: Vectorless power grid verification is a powerful technique to validate the robustness of the on-chip power distribution network for all possible current waveforms. Formulated and solved as ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

This project implements matrix inversion using the Neumann series algorithm accelerated with CUDA. The objective is to approximate the inverse of a 64×64 matrix by exploiting GPU parallelism and ...

Abstract: Several modern communication systems, such as G.fast-based copper transmission or LTE-based wireless systems, benefit from MIMO techniques to achieve higher capacity. In most of these ...

A matrix multiplied with its inverse gives the identity matrix. This function finds the inverse of a 2x2 and 3x3 matrix. If the determinant of a matrix is 0, its inverse does not exist.