A quasi-Newton algorithm is presented which employs an initial factorization of the approximate Jacobian matrix. The method then updates the upper and lower triangular factors directly at each step. Iterates are generated using forward and backward substitution employing the updated factorizations. The method is shown to be locally and q-superlinearly convergent, and a numerical algorithm is presented.
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