Visual Studio Magazine

Matrix Inverse Using Newton Iteration with C#

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 ...
Visual Studio Magazine

Matrix Inverse from Scratch Using SVD Decomposition with C#

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 ...
EDN

Complex matrix inversion on the StarCore SC3850 DSP

Complex matrix algebra is of great importance to a wide variety of applications. One of the most important application areas is telecommunications. Matrix calculations are used in communications ...
Tech Xplore on MSN

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
TechRepublic

Implementation of Complex Matrix Inversion Using Gauss-Jordan Elimination Method in Verilog

For high data rate wireless communications they use Orthogonal Frequency Division Multiplexing (OFDM) due to its high spectral efficiency and low computational complexity. It gives the architecture of ...
InfoQ

MIT Researchers Open-Source Approximate Matrix Multiplication Algorithm MADDNESS

Researchers at MIT's Computer Science & Artificial Intelligence Lab (CSAIL) have open-sourced Multiply-ADDitioN-lESS (MADDNESS), an algorithm that speeds up machine learning using approximate matrix ...