Anderson Acceleration For Perturbed Newton Methods

We present a convergence theory For Anderson acceleration (AA) applied to perturbed Newton methods (pNMs) For computing roots of nonlinear problems. Two important special cases are the classical Newton method and the Levenberg-Marquardt method. We prove that if a problem is 2-regular, then Anderson accelerated pNMs coupled with a safeguarding scheme, known as γ-safeguarding, converge locally linearly in a starlike domain of convergence, but with an improved rate of convergence compared to standard perturbed Newton methods. Since Levenberg-Marquardt methods are a special case of pNMs, we obtain a novel acceleration and local convergence result For Anderson accelerated Levenberg-Marquardt. We further show that the safeguarding technique can detect if the underlying perturbed Newton method is converging superlinearly, and respond by tuning the Anderson step down. We demonstrate the methods on several benchmark problems in the literature.