A robust Riemannian Levenberg-Marquardt algorithm is formulated in block-wise form, with convergence results carried over from prior work and demonstrated via an open-source Manopt.jl implementation on tasks including geodesic regression and Procrustes analysis.
Proximal point algorithm on Riemannian ma nifolds
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces a splitting iterative algorithm for common solutions of equilibrium and inclusion problems on Hadamard manifolds, with convergence proof and applications to minimization and minimax problems.
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A modified Riemannian Levenberg-Marquardt Algorithm for robust or constraint optimization on manifolds
A robust Riemannian Levenberg-Marquardt algorithm is formulated in block-wise form, with convergence results carried over from prior work and demonstrated via an open-source Manopt.jl implementation on tasks including geodesic regression and Procrustes analysis.