
doi: 10.1007/bf02591801
We describe a variational principle based upon minimizing the extent to which the inverse Hessian approximation, say H, violates the quasi-Newton relation, on the step immediately prior to the step used to construct H. Its application to the case when line searches are exact suggests use of the BFGS update.
variational principle, 550, variable metric methods, Nonlinear programming, BFGS update, Mathematical programming, Optimality conditions for free problems in two or more independent variables, unconstrained minimization
variational principle, 550, variable metric methods, Nonlinear programming, BFGS update, Mathematical programming, Optimality conditions for free problems in two or more independent variables, unconstrained minimization
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