Two adaptive scaled gradient projection methods for Stiefel manifold constrained optimization

DOI10.1007/s11075-020-01001-9zbMath1470.90133OpenAlexW3082211258MaRDI QIDQ2035513

Harry Oviedo, Oscar Dalmau, Hugo J. Lara

Publication date: 24 June 2021

Published in: Numerical Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11075-020-01001-9

zbMATH Keywords

Stiefel manifoldnonlinear programmingnonmonotone line searchgradient projection methodorthogonality constraintspherical constraintBarzilai-Borwein-like methodequality-constrained optimizationRiemannian constrained optimization

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Semidefinite programming (90C22) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)

Related Items (5)

Implicit steepest descent algorithm for optimization with orthogonality constraints ⋮ Nonmonotone feasible arc search algorithm for minimization on Stiefel manifold ⋮ A collection of efficient retractions for the symplectic Stiefel manifold ⋮ Spectral residual method for nonlinear equations on Riemannian manifolds ⋮ Global convergence of Riemannian line search methods with a Zhang-Hager-type condition

Uses Software

• SparseMatrix
• KSSOLV

Cites Work

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