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 ...

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 ...

where matrix is a square nonsingular matrix. The INV function produces a matrix that is the inverse of matrix, which must be square and nonsingular. However, the SOLVE function is more accurate and ...

where matrix is a numeric matrix or literal. The GINV function creates the Moore-Penrose generalized inverse of matrix. This inverse, known as the four-condition inverse, has these properties: ...