Damped Newton’s method on Riemannian manifolds

Published in Journal of Global Optimization, 2020

Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). https://doi.org/10.1007/s10898-020-00885-0

A damped Newton’s method to find a singularity of a vector field in Riemannian setting is presented with global convergence study. It is ensured that the sequence generated by the proposed method reduces to a sequence generated by the Riemannian version of the classical Newton’s method after a finite number of iterations, consequently its convergence rate is superlinear/quadratic. Even at an early stage of development, we can observe from numerical experiments that DNM presented promising results when compared with the well known BFGS and Trust Regions methods. Moreover, damped Newton’s method present better performance than the Newton’s method in number of iteration and computational time. Download paper here

Recommended citation: Bortoloti, M.A.d.A., Fernandes, T.A., Ferreira, O.P. et al. Damped Newton’s method on Riemannian manifolds. J Glob Optim 77, 643–660 (2020). https://doi.org/10.1007/s10898-020-00885-0