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 challenging tasks in numerical ...

In this paper, we study some properties of core-EP inverse of square matrices. Firstly, we extend the obtained theorem proved by K.M. Prasad and K.S. Mohana. Then some properties of core-EP inverse ...

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 ...

Environmental problems belong to the main challenging problems of the 21th century. There is a lack of new allocation principles for investments. Several approaches from the field of game theory ...