1 citations · 1 across the 2 of their papers we have counts for
2 papers
math.OC2026
A modified Riemannian Levenberg-Marquardt Algorithm for robust or constraint optimization on manifolds
Mateusz Baran, Ronny Bergmann
We extend the Levenberg-Marquardt method on Riemannian manifolds to a robust variant that allows to tackle problems from applications where outliers are to be expected. We formally…
math.OC2026★ 1 cited
A Riemannian quasi-Newton algorithm for optimization with Euclidean bounds
Mateusz Baran, Ronny Bergmann, Patryk Przybysz
We propose a Riemannian limited-memory BFGS method for optimization problems with Euclidean bounds. The method combines a limited-memory quasi-Newton update in the tangent space wi…