Minimization by coordinate descent

We examine the minimization of anN-dimensional real-valued function using the coordinate descent method. We impose conditions on the function under which the method converges; furthermore, by specializing our class of functions, we obtain the rate of convergence. We also present some examples from classical approximation theory where this method applies. A computational example is also given.