Nonlinear proximal point algorithms using Bregman functions, with applications to convex programming

A Primal-Dual Algorithm for MonotropicProgramming and its Application to NetworkOptimization

Computational Optimization and Applications

Bregman Proximal Relaxation of Large-Scale 0–1 Problems

Computational Optimization and Applications

Auxiliary Problem Principle and Proximal Point Methods

Journal of Global Optimization

Convergence analysis of non-quadratic proximal methods for variational inequalities in Hilbert spaces

Journal of Global Optimization

A proximal trust-region algorithm for column generation stabilization

Computers and Operations Research

Double-Regularization Proximal Methods, with Complementarity Applications

Computational Optimization and Applications

Comparison of Two Proximal Point Algorithms for Monotone Variational Inequalities

Computers & Mathematics with Applications

Generalized Eckstein-Bertsekas proximal point algorithm based on A-maximal monotonicity design

Computers & Mathematics with Applications

A generalized proximal-point-based prediction-correction method for variational inequality problems

Journal of Computational and Applied Mathematics

Split Bregman Algorithm, Douglas-Rachford Splitting and Frame Shrinkage

SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision

A proximal trust-region algorithm for column generation stabilization

Computers and Operations Research

An entropy-like proximal algorithm and the exponential multiplier method for convex symmetric cone programming

Computational Optimization and Applications

What Shape Is Your Conjugate? A Survey of Computational Convex Analysis and Its Applications

SIAM Review

Inexact Proximal Point Methods for Variational Inequality Problems

SIAM Journal on Optimization

Operator Splittings, Bregman Methods and Frame Shrinkage in Image Processing

International Journal of Computer Vision

Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

Foundations and Trends® in Machine Learning

Proximal-like contraction methods for monotone variational inequalities in a unified framework II: general methods and numerical experiments

Computational Optimization and Applications

Proximal-like contraction methods for monotone variational inequalities in a unified framework I: Effective quadruplet and primary methods

Computational Optimization and Applications

Interior proximal methods for quasiconvex optimization

Journal of Global Optimization

Generalized Eckstein-Bertsekas proximal point algorithm involving (H,η)-monotonicity framework

Mathematical and Computer Modelling: An International Journal

Interior point methods for equilibrium problems

Computational Optimization and Applications

An Efficient Algorithm for l0 Minimization in Wavelet Frame Based Image Restoration

Journal of Scientific Computing