Testing and non-linear preconditioning of the proximal point method
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Publication:2198162
DOI10.1007/s00245-018-9541-6OpenAlexW2952233565MaRDI QIDQ2198162
Publication date: 9 September 2020
Published in: Applied Mathematics and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1703.05705
Minimax problems in mathematical programming (90C47) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10) Numerical methods for variational inequalities and related problems (65K15)
Related Items (12)
Chambolle-Pock's primal-dual method with mismatched adjoint ⋮ Inertial, Corrected, Primal-Dual Proximal Splitting ⋮ Linearly convergent bilevel optimization with single-step inner methods ⋮ An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming ⋮ Primal-dual block-proximal splitting for a class of non-convex problems ⋮ Acceleration and Global Convergence of a First-Order Primal-Dual Method for Nonconvex Problems ⋮ Primal-dual proximal splitting and generalized conjugation in non-smooth non-convex optimization ⋮ Predictive online optimisation with applications to optical flow ⋮ Preconditioned proximal point methods and notions of partial subregularity ⋮ Block-proximal methods with spatially adapted acceleration ⋮ Regularisation, optimisation, subregularity ⋮ Degenerate Preconditioned Proximal Point Algorithms
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