- Convex and Nonsmooth Optimization Submissions - 2014 January 2014 Convex Optimization Generalized Gauss Inequalities via Semidefinite Programming Bart P.G. Van Parys, Paul J. Goulart, Daniel Kuhn Nonsmooth Optimization Iterative Reweighted Singular Value Minimization Methods for $l_p$ Regularized Unconstrained Matrix Minimization Zhaosong Lu, Yong Zhang Convex Optimization Spectral Operators of Matrices Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh Convex Optimization Extreme point inequalities and geometry of the rank sparsity ball D. Drusvyatskiy, S.A. Vavasis, H. Wolkowicz Convex Optimization A Block Successive Upper Bound Minimization Method of Multipliers for Linearly Constrained Convex Optimization Mingyi Hong, Tsung-Hui Chang, Xiangfeng Wang, Meisam Razaviyayn, Shiqian Ma, Zhi-Quan Luo Nonsmooth Optimization Alternating projections and coupling slope D. Drusvyatskiy, A.D. Ioffe, A.S. Lewis February 2014 Nonsmooth Optimization Variational Analysis of Circular Cone Programs Jinchuan Zhou, Jein-Shan Chen, Boris S. Mordukhovich Convex Optimization Feasibility-Seeking and Superiorization Algorithms Applied to Inverse Treatment Planning in Radiation Therapy Ran Davidi, Yair Censor, Reinhard W. Schulte, Sarah Geneser, Lei Xing Convex Optimization String-Averaging Expectation-Maximization for Maximum Likelihood Estimation in Emission Tomography Elias S. Helou Helou, Yair Censor, Tai-Been Chen, I-Liang Chern, Álvaro Rodolfo De Pierro, Ming Jiang, Henry Horng-Shing Lu Nonsmooth Optimization OSGA: A fast subgradient algorithm with optimal complexity Arnold Neumaier Convex Optimization An Accelerated Linearized Alternating Direction Method of Multipliers Yuyuan Ouyang, Yunmei Chen, Guanghui Lan, Eduardo Pasiliao Jr. Nonsmooth Optimization Problem Formulations for Simulation-based Design Optimization using Statistical Surrogates and Direct Search Bastien Talgorn, Sébastien Le Digabel, Michael Kokkolaras Generalized Convexity/Monoticity On the Maximal Extensions of Monotone Operators and Criteria for Maximality A Eberhard, R Wenczel Provable Low-Rank Tensor Recovery Bo Huang, Cun Mu, John Wright, Donald Goldfarb Nonsmooth Optimization Forward-backward truncated Newton methods for convex composite optimization Panagiotis Patrinos, Lorenzo Stella, Alberto Bemporad Convex Optimization A Family of Subgradient-Based Methods for Convex Optimization Problems in a Unifying Framework Masaru Ito, Mituhiro Fukuda March 2014 A Fast Active Set Block Coordinate Descent Algorithm for l1-regularized least squares Marianna De Santis, Stefano Lucidi, Francesco Rinaldi Asynchronous Stochastic Coordinate Descent: Parallelism and Convergence Properties Ji Liu, Stephen Wright Convex Optimization Accelerated Schemes For A Class of Variational Inequalities Yuyuan Chen, Guanghui Lan, Yuyuan Ouyang Convex Optimization Intermediate gradient methods for smooth convex problems with inexact oracle Olivier Devolder, François Glineur, Yurii Nesterov Convex Optimization First-order methods with inexact oracle: the strongly convex case Olivier Devolder, François Glineur, Yurii Nesterov A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao, Tong Zhang Generalized Convexity/Monoticity About the convexity of the function $g(x) = \langle \exp_{y}^{-1}x, u \rangle_{y}$ on Hadamard Manifolds. J. X. Cruz Neto, I.D. Melo, P.A. Sousa, J.P. Silva Convex Optimization A Multilevel Proximal Algorithm for Large Scale Composite Convex Optimization Panos Parpas, Duy Luong , Daniel Rueckert , Berc Rustem Convex Optimization On the Direct Extension of ADMM for Multi-block Separable Convex Programming and Beyond: From Variational Inequality Perspective Bingsheng He, Xiaoming Yuan Nonsmooth Optimization Dynamic scaling in the Mesh Adaptive Direct Search algorithm for blackbox optimization Charles Audet, Sébastien Le Digabel, Christophe Tribes April 2014 Nonsmooth Optimization Parallel Algorithms for Big Data Optimization Francisco Facchinei, Simone Sagratella, Gesualdo Scutari Nonsmooth Optimization A Generalized Inexact Proximal Point Method for Nonsmooth Functions that Satisfies Kurdyka Lojasiewicz Inequality Glaydston Bento, Antoine Soubeyran A note on Fejér-monotone sequences in product spaces and its applications to the dual convergence of augmented Lagrangian methods Maicon Marques Alves, Benar Fux Svaiter Convex Optimization An inertial alternating direction method of multipliers Radu Ioan Bot, Ernö Robert Csetnek Convergence Rates with Inexact Nonexpansive Operators Jingwei Liang, Jalal Fadili, Gabriel Peyré Convex Optimization Forward - Backward Greedy Algorithms for Atomic - Norm Regularization Nikhil Rao, Parikshit Shah, Stephen Wright Convex Optimization An accelerated HPE-type algorithm for a class of composite convex-concave saddle-point problems Yunlong He, Renato D.C. Monteiro Convex Optimization Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping Patrick L. Combettes, Jean-Christophe Pesquet May 2014 Nonsmooth Optimization Error Bounds and Metric Subregularity Alexander Y. Kruger Convex Optimization Zero-Convex Functions, Perturbation Resilience, and Subgradient Projections for Feasibility-Seeking Methods Yair Censor, Daniel Reem Primal-dual regularized SQP and SQCQP type methods for convex programming and their complexity analysis Maicon Marques Alves, Renato D. C. Monteiro, Benar Fux Svaiter A Second-Order Method for Compressed Sensing Problems with Coherent and Redundant Dictionaries Ioannis Dassios, Kimon Fountoulakis, Jacek Gondzio Convex Optimization Application of the Strictly Contractive Peaceman-Rachford Splitting Method to Multi-block Separable Convex Programming Bingsheng He, Han Liu, Junwei Lu, Xiaoming Yuan A Novel Unified Approach to Invariance in Control Zoltán Horváth, Yunfei Song, Tamás Terlaky Convex Optimization A proximal multiplier method for separable convex minimization Orlando Sarmiento , Erik Papa Quiroz, Paulo Oliveira June 2014 Nonsmooth Optimization An inertial Tseng's type proximal algorithm for nonsmooth and nonconvex optimization problems Radu Ioan Bot, Ernö Robert Csetnek Convex Optimization Gradient Sliding for Composite Optimization Guanghui Lan Nonsmooth Optimization Splitting methods with variable metric for KL functions Pierre Frankel, Guillaume Garrigos, Juan Peypouquet Convergence rate analysis of several splitting schemes Damek Davis, Wotao Yin A Primal-Dual Algorithmic Framework for Constrained Convex Minimization Quoc Tran-Dinh, Volkan Cevher Convex Optimization A Class of Randomized Primal-Dual Proximal Algorithms for Distributed Optimization Jean-Christophe Pesquet, Audrey Repetti Nonsmooth Optimization On Lipschitz optimization based on gray-box piecewise linearization Andreas Griewank, Andrea Walther, Sabrina Fiege, Torsten Bosse Steplength Thresholds for Invariance Preserving of Discretization Methods of Dynamical Systems on a Polyhedron Zoltán Horváth, Yunfei Song, Tamás Terlaky Projection Methods: An Annotated Bibliography of Books and Reviews Andrzej Cegielski, Yair Censor July 2014 Nonsmooth Optimization Splitting methods for nonconvex composite optimization Guoyin Li, Ting Kei Pong An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization Qihang Lin, Zhaosong Lu, Lin Xiao Nonsmooth Optimization Discrete Approximations of a Controlled Sweeping Process Giovanni Colombo, René Henrion, Nguyen Dinh Hoang, Boris S. Mordukhovich Convex Optimization Convergence rates of relaxed Peaceman-Rachford and ADMM under regularity assumptions Damek Davis, Wotao Yin Local Linear Convergence of Forward–Backward under Partial Smoothness Jingwei Liang, Jalal Fadili, Gabriel Peyré Robust Block Coordinate Descent Kimon Fountoulakis, Rachael Tappenden Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems Cong Han Lim, Stephen J. Wright Nonsmooth Optimization A Smoothing SQP Framework for a Class of Composite $L_q$ Minimization over Polyhedron Ya-Feng Liu, Shiqian Ma, Yu-Hong Dai, Shuzhong Zhang A general inertial proximal point method for mixed variational inequality problem Caihua Chen, Shiqian Ma, Junfeng Yang August 2014 Convex Optimization Block-wise Alternating Direction Method of Multipliers for Multiple-block Convex Programming and Beyond Bingsheng He, Xiaoming Yuan Convex Optimization Self Equivalence of the Alternating Direction Method of Multipliers Ming Yan, Wotao Yin Block stochastic gradient iteration for convex and nonconvex optimization Yangyang Xu, Wotao Yin Generalized Convexity/Monoticity E. Lieb convexity inequalities and noncommutative Bernstein inequality in Jordan-algebraic setting Leonid Faybusovich Fast Projection onto the Simplex and the l1 Ball Laurent Condat Nonsmooth Optimization Differential properties of Euclidean projection onto power cone Le Hien On the Convergence Rate of Multi-Block ADMM Tianyi Lin, Shiqian Ma, Shuzhong Zhang On the Global Linear Convergence of the ADMM with Multi-Block Variables Tianyi Lin, Shiqian Ma, Shuzhong Zhang Convex Optimization Matrix monotonicity and self-concordance:how to handle quantum entropy in optimization problems Leonid Faybusovich, Takashi Tsuchiya On a new class of matrix support functionals with applications J.V. Burke, Tim Hoheisel September 2014 On the ergodic convergence rates of a first-order primal-dual algorithm Antonin Chambolle, Thomas Pock Inertial primal-dual algorithms for structured convex optimization Raymond Chan, Shiqian Ma, Junfeng Yang Convex Optimization On the iterate convergence of descent methods for convex optimization Clovis Gonzaga Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization Yuchen Zhang, Lin Xiao Convex Optimization Block-wise Alternating Direction Method of Multipliers with Gaussian Back Substitution for Multiple-block Convex Programming Xiaoling Fu, Bingsheng He, Xiangfeng Wang, Xiaoming Yuan Relative Entropy Relaxations for Signomial Optimization Venkat Chandrasekaran, Parikshit Shah A Proximal Multiplier Method for Convex Separable Symmetric Cone Optimization Julio López, Erik Papa Quiroz Randomized First-order Methods for Saddle Point Optimization Cong Dang, Guanghui Lan October 2014 Nonsmooth Optimization Douglas-Rachford splitting for nonconvex feasibility problems Guoyin Li, Ting Kei Pong Nonsmooth Optimization An inertial forward-backward algorithm for the minimization of the sum of two nonconvex functions Radu Ioan Bot, Ernö Robert Csetnek, Szilard Laszlo Weak sharp minima with explicit exponents in vector optimization problems with polynomial data Tien Son Pham, Xuan Duc Ha Truong, Jen-Chih Yao Variational analysis and full stability of optimal solutions to constrained and minimax problems Boris Mordukhovich, Ebrahim Sarabi An induction theorem and nonlinear regularity models Phan Q. Khanh, Alexander Y. Kruger , Nguyen H. Thao Conditional Gradient Sliding for Convex Optimization Guanghui Lan, Yi Zhou Nonlinear local error bounds via a change of metric Dominique Azé, Jean-Noël Corvellec November 2014 Directional H\"older metric subregularity and application to tangent cones Huynh Van Ngai, Nguyen Huu Tron, Phan Nhat Tinh Convex Optimization On the Information-Adaptive Variants of the ADMM: an Iteration Complexity Perspective Xiang Gao, Bo Jiang, Shuzhong Zhang Convex Optimization Stochastic Compositional Gradient Descent: Algorithms for Minimizing Compositions of Expected-Value Functions Mengdi Wang, Ethan Fang, Han Liu Convex Optimization The direct extension of ADMM for three-block separable convex minimization models is convergent when one function is strongly convex Xingju Cai, Deren Han, Xiaoming Yuan On the optimal order of worst case complexity of direct search M. Dodangeh, L. N. Vicente, Z. Zhang Nonsmooth Optimization Sequential Threshold Control in Descent Splitting Methods for Decomposable Optimization Problems Igor Konnov Error Bounds and Holder Metric Subregularity Alexander Y. Kruger December 2014 Convex Optimization Coordinate descent algorithms Stephen Wright Fast Bundle-Level Type Methods for unconstrained and ball-constrained convex optimization Yunmei Chen, Guanghui Lan, Yuyuan Ouyang, Wei Zhang Activity Identification and Local Linear Convergence of Douglas-Rachford/ADMM under Partial Smoothness Jingwei Liang, Jalal Fadili, Gabriel Peyré, Russell Luke Convex Optimization An asymptotic inclusion speed for the Douglas-Rachford splitting method in Hilbert spaces Yunda Dong Convex Optimization Global convergence of the Heavy-ball method for convex optimization Euhanna Ghadimi, Hamid Reza Feyzmahdavian, Mikael Johansson Nonsmooth Optimization Variational principles with generalized distances and applications to behavioral sciences T. Q. Bao, P.Q. Khanh, A. Soubeyran Convex Optimization A Polynomial Time Algorithm to Solve a Class of Optimization Problems with a Multi-linear Objective Function and Affine Constraints Hadi Charkhgard, Martin Savelsbergh, Masoud Talebian Visitors Authors More about us Links Subscribe, Unsubscribe Digest Archive Search, Browse the Repository Submit Update Policies Coordinator's Board Classification Scheme Credits Give us feedback Optimization Journals, Sites, Societies Optimization Online is supported by the Mathematical Optmization Society.