One of the fundamental operations in machine learning is computing the inverse of a square matrix. But not all matrices have an inverse. The most common way to check if a matrix has an inverse or not ...

It is well-known that if we have an approximate eigenvalue λ̂ of a normal matrix A of order n, a good approximation to the corresponding eigenvector u can be computed by one inverse iteration provided ...

The properties of the maximum likelihood estimate of the parameter of a first-order moving-average model, depend on the inverse of a symmetric tridiagonal matrix. Hitherto, approximate expressions for ...