Introduces Riemannian Nyström approximation via subspace projections and Haar-Grassmann sketching for tangent operators, plus a randomized Newton method, tested on SPD and Grassmann manifolds.
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3 Pith papers cite this work, alongside 285 external citations. Polarity classification is still indexing.
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Pith papers citing it
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2026 3representative citing papers
A nonmonotone subgradient algorithm is developed for upper-C^2 optimization on submanifolds with stationarity and KL-based convergence guarantees.
On the random-field XY model, Riemannian Monotonic Basin Hopping finds lower-energy states than MultiStart at lower computational cost in the tested L=10–32 instances.
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Nystr\"om Approximation on Manifolds
Introduces Riemannian Nyström approximation via subspace projections and Haar-Grassmann sketching for tangent operators, plus a randomized Newton method, tested on SPD and Grassmann manifolds.
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A Nonmonotone Descent Method for Optimization Problems Defined by Upper-$\mathcal{C}^2 $ Functions over Submanifolds
A nonmonotone subgradient algorithm is developed for upper-C^2 optimization on submanifolds with stationarity and KL-based convergence guarantees.
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Nonconvex optimization methods for ground states in disordered continuous-spin models
On the random-field XY model, Riemannian Monotonic Basin Hopping finds lower-energy states than MultiStart at lower computational cost in the tested L=10–32 instances.