Newton Type Methods Suppose \(f(x)\) is a real-valued function defined for all values of the real variable \(x\), and that \(f'\) is Lipschitz continuous. Consider the discrete Newton method: Guess \(x_0\) and for \(k=0,1,2,\ldots \), do: \[ a_k=\frac {f(x_k+h_k)-f(x_k)}{h_k} \] \[ x_{k+1}=x_k-\frac {f(x_k)}{a_k} \] Analyze the local convergence properties of this method. How does the speed of convergence depend on the choice of \(h_k\) (ignore any effect of round-off errors in this analysis)? Now taking roundoff into account what would be a reasonable size for \(h_k\) in practice?
Question
Math 6610 • Analysis of Numerical Methods I
Fall 1995 • Question 5