Proximal point algorithm with Schur decomposition on the cone of symmetric semidefinite positive matrices

DOI10.1016/j.jmaa.2009.02.006zbMath1169.90024OpenAlexW1989791159MaRDI QIDQ1022951

Ronaldo M. Gregório, Paulo Roberto Oliveira

Publication date: 10 June 2009

Published in: Journal of Mathematical Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmaa.2009.02.006

zbMATH Keywords

complete metric spaceHadamard manifoldSchur decompositionproximal point algorithmRiemannian mean

Mathematics Subject Classification ID

Interior-point methods (90C51)

Related Items (2)

\(L^\alpha \) Riemannian weighted centers of mass applied to compose an image filter to diffusion tensor imaging ⋮ A two-phase-like proximal point algorithm in domains of positivity

Cites Work

• Unnamed Item
• On the Riemannian geometry defined by self-concordant barriers and interior-point methods.
• Proximal Point Algorithm On Riemannian Manifolds
• Full convergence of the steepest descent method with inexact line searches
• A Differential Geometric Approach to the Geometric Mean of Symmetric Positive-Definite Matrices
• Domains of positivity

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