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. Our goal is to investigate and exploit an analogy between the scaled hyperpower family (SHPI family) of iterative methods for computing the matrix inverse and the discretization of Zhang ...

Matrix calculations are used in communications standards such as 3GPP-LTE, WiMAX, and many others. For example, the MIMO (Multi Input Multi Output) algorithm in the LTE receiver is based on a 4×4 ...

If the source matrix is 3-by-3 or smaller, then it's possible to compute the inverse using brute force. If you need the determinant of the source matrix, then using LUP decomposition (Crout or ...