On the use of function-values in unconstrained optimisation

AbstractBy the use of a nonlinear model for the gradient of the objective function along a chosen direction, we show how information available via values of the objective function may be efficiently utilised in an optimisation method of “quasi-Newton” type. Numerical experiments indicate that computational gains are possible by such means