Global convergence of Hager-Zhang type Riemannian conjugate gradient method

DOI10.1016/j.amc.2022.127685OpenAlexW4284678912MaRDI QIDQ2101972

Hiroyuki Sakai, Hideaki Iiduka, Hiroyuki Sato

Publication date: 7 December 2022

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2207.01855

zbMATH Keywords

Riemannian manifoldconjugate gradient methodRiemannian optimizationHager-Zhang method

Mathematics Subject Classification ID

Mathematical programming (90Cxx) Numerical methods for mathematical programming, optimization and variational techniques (65Kxx) Operations research, mathematical programming (90-XX)

Related Items

Riemannian optimization on unit sphere with \(p\)-norm and its applications

Uses Software

• hybrid-rcg

Cites Work

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• Riemannian Conjugate Gradient Methods: General Framework and Specific Algorithms with Convergence Analyses
• Riemannian Optimization and Its Applications
• A new, globally convergent Riemannian conjugate gradient method
• A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search
• Maxima for Graphs and a New Proof of a Theorem of Turán
• Benchmarking optimization software with performance profiles.

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