Proposes a Riemannian quasi-Newton bundle method with subgradient aggregation and limited-memory updates for nonsmooth optimization, proving global convergence to stationary points under a new semismoothness assumption.
Jou rnal of Opti- mization Theory and Applications 44, 545–568 (1984)
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A restricted memory quasi-Newton bundle method for nonsmooth optimization on Riemannian manifolds
Proposes a Riemannian quasi-Newton bundle method with subgradient aggregation and limited-memory updates for nonsmooth optimization, proving global convergence to stationary points under a new semismoothness assumption.