- Convex and Nonsmooth Optimization Submissions - 2015 December 2015 Solving ill-posed bilevel programs Alain B. Zemkoho January 2015 A remark on accelerated block coordinate descent for computing the proximity operators of a sum of convex functions Antonin Chambolle, Thomas Pock Convex Optimization Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss Yuchen Zhang, Lin Xiao An optimal subgradient algorithm for large-scale bound-constrained convex optimization Masoud Ahookhosh, Arnold Neumaier An optimal subgradient algorithm for large-scale convex optimization in simple domains Masoud Ahookhosh, Arnold Neumaier Convex Optimization {ADMM for Convex Quadratic Programs: Linear Convergence and Infeasibility Detection} Arvind U. Raghunathan, Stefano Di Cairano Nonsmooth Optimization Regularity of collections of sets and convergence of inexact alternating projections Alexander Y. Kruger, Nguyen H. Thao Convex Optimization An improved version of Chubanov's method for solving a homogeneous feasibility problem Kees Roos Nonsmooth Optimization Trust-region methods without using derivatives: Worst case complexity and the non-smooth case R. Garmanjani, D. JÃºdice, L. N. Vicente Convex Optimization A note on the ergodic convergence of symmetric alternating proximal gradient method Gao Bin Nonsmooth Optimization Metric subregularity of composition set-valued mappings with applications to fixed point theory Durea Marius, Strugariu Radu February 2015 The Cyclic Block Conditional Gradient Method for Convex Optimization Problems Amir Beck, Edouard Pauwels, Shoham Sabach A dynamic approach to a proximal-Newton method for monotone inclusions in Hilbert spaces, with complexity $\bigo(1/n^2)$ Hedy Attouch, Maicon Marques Alves, Benar F. Svaiter Nonlinear Metric Subregularity Alexander Y. Kruger March 2015 Generalized Convexity/Monoticity Inexact Proximal Point Methods for Quasiconvex Minimization on Hadamard Manifolds Nancy Baygorrea, Erik Papa Quiroz, Nelson Maculan A Three-Operator Splitting Scheme and its Optimization Applications Damek Davis, Wotao Yin Polynomial Root Radius Optimization with Affine Constraints Julia Eaton, Sara Grundel, Mert Gurbuzbalaban, Michael L. Overton Convex Optimization Smooth Strongly Convex Interpolation and Exact Worst-case Performance of First-order Methods A.B. Taylor, J.M. Hendrickx, F. Glineur Performance of First- and Second-Order Methods for Big Data Optimization Kimon Fountoulakis, Jacek Gondzio Activity Identification and Local Linear Convergence of Inertial Forward-Backward Splitting Jingwei Liang, Jalal Fadili, Gabriel Peyré Convex Optimization Convergence rate of a proximal multiplier algorithm for separable convex optimization Orlando Sarmiento, Erik Papa Quiroz, Paulo Oliveira Nonsmooth Optimization A Nonmonotone Approach without Differentiability Test for Gradient Sampling Methods Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões Convex Optimization A Flexible ADMM Algorithm for Big Data Applications Daniel Robinson, Rachael Tappenden Nonsmooth Optimization A weighted Mirror Descent algorithm for nonsmooth convex optimization problem Duy V.N. Luong, Panos Parpas, Daniel Rueckert, Berc Rustem April 2015 An optimal subgradient algorithm with subspace search for costly convex optimization problems Masoud Ahookhosh, Arnold Neumaier Iteration Complexity Analysis of Multi-Block ADMM for a Family of Convex Minimization without Strong Convexity Tianyi Lin, Shiqian Ma, Shuzhong Zhang Convex Optimization New results on subgradient methods for strongly convex optimization problems with a unified analysis Ito Masaru Convex Optimization Lower Bounds on Complexity of Lyapunov Functions for Switched Linear Systems Amir Ali Ahmadi, Raphael Jungers Convex Optimization Linearly Convergent Away-Step Conditional Gradient for Non-strongly Convex Functions Amir Beck, Shimrit Shtern Preconditioning of a Generalized Forward-Backward Splitting and Application to Optimization on Graphs Hugo Raguet, Loïc Landrieu Convex Optimization Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making Amir Ali Ahmadi, Anirudha Majumdar Nonsmooth Optimization An O(1/K) Convergence Rate for the BOSVS Algorithm in Total Variation Regularized Least Squares Problems William W. Hager, Maryam Yashtini, Hongchao Zhang May 2015 Convex Optimization Distributionally robust expectation inequalities for structured distributions Bart P.G. Van Parys, Paul J. Goulart, Manfred Morari Solving nonsmooth convex optimization with complexity $O(\eps^{-1/2})$ Masoud Ahookhosh, Arnold Neumaier First-Order Algorithms for Convex Optimization with Nonseparate Objective and Coupled Constraints Xiang Gao, Shuzhong Zhang Nonsmooth Optimization An Inexact Proximal Algorithm for Pseudomonotone and Quasimonotone Variational Inequalities Erik Papa Quiroz, Lennin Mallma Ramirez, Paulo Roberto Oliveira Global Convergence of Unmodified 3-Block ADMM for a Class of Convex Minimization Problems Tianyi Lin, Shiqian Ma, Shuzhong Zhang Convex Optimization On the Step Size of Symmetric Alternating Directions Method of Multipliers Bingsheng He, Feng Ma, Xiaoming Yuan Convex Optimization $\varepsilon-$Strictly Subdifferential of Set-valued Map and Its Application Yu Li Probabilistic optimization via approximate p-efficient points and bundle methods W. van vAckooij, V. Berge, W. de Oliveira, C. Sagastizábal An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization Hamid Reza Feyzmahdavian, Arda Aytekin, Mikael Johansson Convex Optimization A Bundle Method for Exploiting Additive Structure in Difficult Optimization Problems W. de Oliveira, J. Eckstein June 2015 Generalized Convexity/Monoticity Existence Results for Particular Instances of the Vector Quasi-Equilibrium Problem on Hadamard Manifolds Glaydston Bento, João Xavier Cruz Neto A semi-proximal-based strictly contractive Peaceman-Rachford splitting method Yan Gu, Bo Jiang, Deren Han Convex Optimization Understanding the Convergence of the Alternating Direction Method of Multipliers: Theoretical and Computational Perspectives Jonathan Eckstein, Wang Yao Nonsmooth Optimization A BFGS-SQP Method for Nonsmooth, Nonconvex, Constrained Optimization and its Evaluation using Relative Minimization Profiles Frank E. Curtis, Tim Mitchell, Michael L. Overton July 2015 Nonsmooth Optimization A forward-backward dynamical approach to the minimization of the sum of a nonsmooth convex with a smooth nonconvex function Radu Ioan Bot, Ernö Robert Csetnek Convex Optimization An optimal randomized incremental gradient method Guanghui Lan Nonsmooth Optimization Stability of p-order metric regularity Yiran He, Kung Fu Ng A Flexible Coordinate Descent Method for Big Data Applications Kimon Fountoulakis, Rachael Tappenden Convex Optimization On the von Neumann and Frank-Wolfe Algorithms with Away Steps Javier Pena, Daniel Rodriguez, Negar Soheili Convex Optimization Vanishing Price of Anarchy in Large Coordinative Nonconvex Optimization Mengdi Wang Nonsmooth Optimization Variational analysis of spectral functions simplified Dmitriy Drusvyatskiy, Courtney Kempton Nonsmooth Optimization A Scalable Frank-Wolfe based Augmented Lagrangian Method for Linearly Constrained Composite Convex Programming Ya-Feng Liu, Xiangfeng Wang, Xin Liu, Shiqian Ma Convex Optimization A survey on operator splitting and decomposition of convex programs Philippe Mahey, Arnaud Lenoir August 2015 Convex Optimization On the Convergence of Multi-Block Alternating Direction Method of Multiplier and Block Coordinate Descent Method Caihua Chen, Min Li, Xin Liu, Yinyu Ye Convex Optimization Low-rank spectral optimization Michael Friedlandr, Ives Macêdo Borwein-Preiss Variational Principle Revisited A. Y. Kruger, S. Plubtieng, T. Seangwattana Generalized Convexity/Monoticity How to Reach his Desires: Variational Rationality and the Equilibrium Problem on Hadamard Manifolds Glaydston Bento, João Cruz Neto, Pedro Soares, Antoine Soubeyran Convex Optimization Inertial Proximal ADMM for Linearly Constrained Separable Convex Optimization Caihua Chen, Raymond Chan, Shiqian Ma, Junfeng Yang Convex Optimization A general inertial proximal point algorithm for mixed variational inequality problem caihua chen, shiqian ma, junfeng yang Generalized Uniformly Optimal Methods for Nonlinear Programming Saeed Ghadimi, Guanghui Lan, Hongchao Zhang Borwein–Preiss Vector Variational Principle Alexander Y. Kruger, Somyot Plubtieng, Thidaporn Seangwattana September 2015 Nonsmooth Optimization Local maximality and full stability for parametric variational systems Boris Mordukhovich, Tran Nghia Nonsmooth Optimization Variational Analysis and Applications to Group Dynamics T.Q. Bao, A. Soubeyran Regularized HPE-type methods for solving monotone inclusions with improved pointwise iteration-complexity bounds Maicon Marques Alves, Renato D.C. Monteiro, Benar F. Svaiter Convex Optimization New Computational Guarantees for Solving Convex Optimization Problems with First Order Methods, via a Function Growth Condition Measure Robert M. Freund, Haihao Lu Convex Optimization An accelerated non-Euclidean hybrid proximal extragradient-type Algorithm for convex-concave saddle-point Problems Oliver Kolossoski, Renato Monteiro Nonsmooth Optimization On Cournot-Nash-Walras equilibria and their computation Jiri V. Outrata, Michael C. Ferris, Michal Cervinka, Michal Outrata October 2015 Convex Optimization A fixed point optimization algorithm for the equilibrium problem over the fixed point set and its applications Ngoc Hai Trinh Convex Optimization Contraction of the proximal mapping and applications to the equilibrium problem Ngoc Hai Trinh Convex Optimization A hybrid ergodic-splitting method for pseudo-monotone equilibrium problems Ngoc Hai Trinh An optimal first-order primal-dual gap reduction framework for constrained convex optimization Quoc Tran-Dinh, Volkan Cevher From error bounds to the complexity of first-order descent methods for convex functions Jerome Bolte, Trong Phong Nguyen, Juan Peypouquet, Bruce Suter Convex Optimization Fast convergence of inertial dynamics and algorithms with asymptotic vanishing damping H Attouch, Z Chbani, J Peypouquet, P Redont A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties Victor M Zavala, Kibaek Kim, Mihai Anitescu, John Birge Convex Optimization The rate of convergence of Nesterov's accelerated forward-backward method is actually $o(k^{-2})$ H Attouch, J Peypouquet November 2015 Nonsmooth Optimization First and second order optimality conditions for piecewise smooth objective functions Andreas Griewank Convex Optimization An Extended Frank-Wolfe Method with “In-Face” Directions, and its Application to Low-Rank Matrix Completion Robert M. Freund, Paul Grigas, Rahul Mazumder Random Multi-Constraint Projection: Stochastic Gradient Methods for Convex Optimization with Many Constraints Mengdi Wang, Yichen Chen, Jialin Liu, Yuantao Gu Convex Optimization Acceleration of the PDHGM on strongly convex subspaces Tuomo Valkonen, Thomas Pock Convex Optimization Generalized Conjugate Gradient Methods for $\ell_1$ Regularized Convex Quadratic Programming with Finite Convergence Zhaosong Lu, Xiaojun Chen December 2015 Convex Optimization New Douglas-Rachford algorithmic structures and their convergence analyses Ysir Censor, Rafiq Mansour Perturbation of error bounds A. Y. Kruger, M. A. Lopez , M. A. Thera Convex Optimization Polytope conditioning and linear convergence of the Frank-Wolfe algorithm Javier Pena, Daniel Rodriguez Convex Optimization Solving Conic Systems via Projection and Rescaling Javier Pena, Negar Soheili Distributed Stochastic Variance Reduced Gradient Methods and a Lower Bound for Communication Complexity Jason Lee, Qihang Lin, Tengyu Ma, Tianbao Yang 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.