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Convex and Nonsmooth Optimization Submissions - 2018

December 2018

Convex Optimization
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression
Luis M. Briceno-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet


January 2018

Convergence rates of Forward–Douglas–Rachford splitting method
Cesare Molinari, Jingwei Liang, Jalal Fadili

Nonsmooth Optimization
The proximal alternating direction method of multipliers in the nonconvex setting: convergence analysis and rates
Radu Ioan Bot, Dang-Khoa Nguyen

Convex Optimization
Convergence rates of proximal gradient methods via the convex conjugate
David Gutman, Javier Pena

Convex Optimization
A forward-backward penalty scheme with inertial effects for montone inclusions. Applications to convex bilevel programming
Radu Ioan Bot, Dang-Khoa Nguyen

Convex Optimization
Simplified Versions of the Conditional Gradient Method
Igor Konnov

Convex Optimization
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive stepsizes and convergence
Dirk A. Lorenz, Quoc Tran-Dinh

Convex Optimization
Douglas-Rachford Splitting for Pathological Convex Optimization
Ernest K. Ryu, Yanli Liu, Wotao Yin

Proximal Alternating Penalty Algorithms for Nonsmooth Constrained Convex Optimization
Quoc Tran-Dinh

Nonsmooth Optimization
Complexity of a quadratic penalty accelerated inexact proximal point method for solving linearly constrained nonconvex composite programs
Weiwei Kong, Jefferson Melo, Renato Monteiro


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