1978/06/01 by Menila James · 1 citation
Computer Science · Mathematics · Chemistry · #Matrix Theory and Algorithms #Inverse #Matrix (chemical analysis) #Mathematics #Coefficient matrix #Constant (computer programming) #System of linear equations #Pure mathematics #Applied mathematics #Mathematical analysis #Physics #Computer science #Geometry #Chemistry #Eigenvalues and eigenvectors #Chromatography
paper · doi:10.1017/s0025557200086460
openalex publication_date 1978/06/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/06/19
If we have a system of m linear equations to solve, it is a great simplification to write them in matrix form Ax = b , where A is an m x n matrix of coefficients, b is an m -dimensional vector of constants and x is an n -dimensional vector of unknowns.