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 ...
Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 271, No. 1346 (Jan. 22, 1963), pp. 324-331 (8 pages) ...
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