A convergence theory for optimization algorithms using approximations

This paper presents a general theory of convergence for optimization algorithms in which approximations are used. The theory indicates how the accuracy of the approximations can be controlled adaptively in order to insure convergence. The application of the theory to a parameter optimization problem for a non-linear dynamical system is briefly discussed.