IEEE

A Matrix Inversion Method Based on LDLT Decomposition and its Application in STAP

Abstract: This paper presents matrix inversion algorithms based on LU decomposition and QR decomposition and LDLT decomposition (i.e. improved Cholesky decomposition) and the time complexity of the ...
Visual Studio Magazine

How to Invert a Machine Learning Matrix Using C#

Inverting a matrix is one of the most common tasks in data science and machine learning. In this article I explain why inverting a matrix is very difficult and present code that you can use as-is, or ...
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 ...
Frontiers

Geochemical-process extraction and interpretation using matrix factorization: a framework for verifying effectiveness through forward modeling and inversion analysis

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...
JSTOR Daily

Matrix Inversion, Its Interest and Application in Analysis of Data

The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal ...
Frontiers

Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species

1 Shanghai Collaborative Innovation Center of Agri-Seeds/School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China 2 Department of Animal Breeding and Reproduction, College of ...