Entropy-like proximal methods in convex programming

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

Computational Optimization and Applications

Proximal Point Methods and Nonconvex Optimization

Journal of Global Optimization

A steepest descent method for vector optimization

Journal of Computational and Applied Mathematics

Dual convergence of the proximal point method with Bregman distances for linear programming

Optimization Methods & Software

Nonsmooth nonconvex global optimization in a Banach space with a basis

Computers & Mathematics with Applications

A steepest descent method for vector optimization

Journal of Computational and Applied Mathematics

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

On Weak Convergence of the Douglas-Rachford Method

SIAM Journal on Control and Optimization

A projected subgradient method for solving generalized mixed variational inequalities

Operations Research Letters

A subgradient method for multiobjective optimization

Computational Optimization and Applications