Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs

From MaRDI portal
Publication:2806813

DOI10.1287/moor.2015.0735zbMath1338.65156arXiv1409.8147OpenAlexW1855462127MaRDI QIDQ2806813

Jérôme Bolte, Edouard Pauwels

Publication date: 19 May 2016

Published in: Mathematics of Operations Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1409.8147




Related Items

Feasible methods for nonconvex nonsmooth problems with applications in green communicationsLocal convergence of the heavy-ball method and iPiano for non-convex optimizationAn inexact proximal DC algorithm with sieving strategy for rank constrained least squares semidefinite programmingComposite Difference-Max Programs for Modern Statistical Estimation ProblemsQualification Conditions in Semialgebraic ProgrammingFrom error bounds to the complexity of first-order descent methods for convex functionsForward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch AlgorithmsHarnessing Structure in Composite Nonsmooth MinimizationThe multiproximal linearization method for convex composite problemsDoubly iteratively reweighted algorithm for constrained compressed sensing modelsRetraction-based first-order feasible methods for difference-of-convex programs with smooth inequality and simple geometric constraintsThe value function approach to convergence analysis in composite optimizationConvergence analysis of a proximal point algorithm for minimizing differences of functionsUnifying Abstract Inexact Convergence Theorems and Block Coordinate Variable Metric iPianoA proximal DC approach for quadratic assignment problemSpectral Operators of Matrices: Semismoothness and Characterizations of the Generalized JacobianNonconvex Lagrangian-Based Optimization: Monitoring Schemes and Global ConvergenceComposite Optimization by Nonconvex Majorization-MinimizationVariable Metric Forward-Backward Algorithm for Composite Minimization ProblemsAnalysis and Algorithms for Some Compressed Sensing Models Based on L1/L2 MinimizationUnnamed ItemEfficiency of minimizing compositions of convex functions and smooth mapsGhost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration ComplexityA Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local MinimaSABRINA: a stochastic subspace majorization-minimization algorithmConvergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization ProblemsStochastic proximal linear method for structured non-convex problemsThe proximity operator of the log-sum penaltyExtrapolated Proximal Subgradient Algorithms for Nonconvex and Nonsmooth Fractional Programs


Uses Software


Cites Work