Reformulates SDCMPCC via spectral decomposition of complementarity structure and proves augmented Lagrangian accumulation points are W-stationary (or C-stationary under stricter subproblem conditions).
Proximalgradientmethod for nonconvex and nonsmooth optimization on Hadamard manifolds
2 Pith papers cite this work. Polarity classification is still indexing.
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math.OC 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
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Augmented Lagrangian methods for nonlinear semidefinite programming with complementarity constraints
Reformulates SDCMPCC via spectral decomposition of complementarity structure and proves augmented Lagrangian accumulation points are W-stationary (or C-stationary under stricter subproblem conditions).
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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.