\(\varepsilon\)-subgradient algorithms for locally Lipschitz functions on Riemannian manifolds

From MaRDI portal
Publication:273664

DOI10.1007/s10444-015-9426-zzbMath1338.49029OpenAlexW2198679917WikidataQ115384780 ScholiaQ115384780MaRDI QIDQ273664

Philipp Grohs, Seyedehsomayeh Hosseini

Publication date: 22 April 2016

Published in: Advances in Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10444-015-9426-z




Related Items

Iteration-complexity of gradient, subgradient and proximal point methods on Riemannian manifoldsProximal point methods for Lipschitz functions on Hadamard manifolds: scalar and vectorial casesOn maximal monotonicity of bifunctions on Hadamard manifoldsA modified Riemannian Halpern algorithm for nonexpansive mappings on Hadamard manifoldsRiemannian proximal gradient methodsDC semidefinite programming and cone constrained DC optimization. I: TheoryEnlargement of monotone vector fields and an inexact proximal point method for variational inequalities in Hadamard manifoldsRiemannian stochastic fixed point optimization algorithmLimiting subdifferential calculus and perturbed distance function in Riemannian manifoldsOptimality conditions and duality for nonsmooth multiobjective semi-infinite programming problems on Hadamard manifoldsAdaptive trust-region method on Riemannian manifoldProximal gradient algorithm with trust region scheme on Riemannian manifoldConstraint qualifications and optimality criteria for nonsmooth multiobjective programming problems on Hadamard manifoldsProximal quasi-Newton method for composite optimization over the Stiefel manifoldWavelet Sparse Regularization for Manifold-Valued DataA Riemannian Proximal Newton MethodA Riemannian Gradient Sampling Algorithm for Nonsmooth Optimization on ManifoldsLine Search Algorithms for Locally Lipschitz Functions on Riemannian ManifoldsAn extragradient-type algorithm for variational inequality on Hadamard manifoldsProximal point method for locally Lipschitz functions in multiobjective optimization of Hadamard manifoldsIteration-complexity of the subgradient method on Riemannian manifolds with lower bounded curvatureFirst Order Methods for Optimization on Riemannian ManifoldsSimple algorithms for optimization on Riemannian manifolds with constraintsRiemannian conjugate gradient methods with inverse retractionA Second Order Nonsmooth Variational Model for Restoring Manifold-Valued ImagesA Graph Framework for Manifold-Valued DataTotal Generalized Variation for Manifold-Valued DataCharacterization of solution sets of convex optimization problems in Riemannian manifoldsProximal Gradient Method for Nonsmooth Optimization over the Stiefel ManifoldPath-based incremental target level algorithm on Riemannian manifoldsA Gradient Sampling Method on Algebraic Varieties and Application to Nonsmooth Low-Rank OptimizationProximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite TerminationAn Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation DenoisingAn active-set proximal quasi-Newton algorithm for ℓ1-regularized minimization over a sphere constraint


Uses Software


Cites Work


This page was built for publication: \(\varepsilon\)-subgradient algorithms for locally Lipschitz functions on Riemannian manifolds