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 ...
This is a preview. Log in through your library . Abstract A quasi-Newton algorithm is presented which employs an initial factorization of the approximate Jacobian matrix. The method then updates the ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback