Factorized variable metric methods for unconstrained optimization

Abstract

Several efficient methods are given for updating the Cholesky factors of a symmetric positive definite matrix when it is modified by a rank-two correction which maintains symmetry and positive definiteness. These ideas are applied to variable metric (quasi-Newton) methods to produce numerically stable algorithms.