Abstract
One approach to solving general smooth minimization problems is to integrate an ordinary differential equation appropriate to the underlying minimization problem. In the present paper we derive a global convergence result for smooth minimization problems via discretizing such a corresponding dynamical system using an arbitrary one- or linear multistep method with constant step size. In addition, we compare the asymptotic features of the numerical and exact solutions.
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