- Convex and Nonsmooth Optimization Submissions - 2012 January 2012 Nonsmooth Optimization Necessary optimality conditions in pessimistic bilevel programming Stephan Dempe, Boris S. Mordukhovich, Alain B. Zemkoho Algorithms for Bilevel Pseudomonotone Variational Inequality Problems Bui Van Dinh, Le Dung Muu Convex Optimization Algebraic Relaxations and Hardness Results in Polynomial Optimization and Lyapunov Analysis Amir Ali Ahmadi Convex Optimization On non-ergodic convergence rate of Douglas-Rachford alternating direction method of multipliers Bingsheng He, Xiaoming Yuan Convex Optimization Stochastic first order methods in smooth convex optimization. Olivier Devolder Nonsmooth Optimization Augmented L1 and Nuclear-Norm Models with a Globally Linearly Convergent Algorithm Ming-Jun Lai, Wotao Yin Nonsmooth Optimization Slopes of multifunctions and metric multi-regularity Huynh Van Ngai, Alexander Y. Kruger, Michel Thera Nonsmooth Optimization Smoothing and Worst Case Complexity for Direct-Search Methods in Non-Smooth Optimization R. Garmanjani, L. N. Vicente February 2012 Nonsmooth Optimization Subgradient methods for huge-scale optimization problems Yurii Nesterov Nonsmooth Optimization Holder Metric Subregularity with Applications to Proximal Point Method G Li, B.S. Mordukhovich Convex Optimization Warmstarting the Homogeneous and Self-Dual Interior Point Method for Linear and Conic Quadratic Problems Anders Skajaa, Erling Andersen, Ye Yinyu Convex Optimization A Stochastic Gradient Method with an Exponential Convergence Rate for Strongly-Convex Optimization with Finite Training Sets Nicolas Le Roux, Mark Schmidt, Francis Bach March 2012 Nonsmooth Optimization Reweighted $\ell_1$-Minimization for Sparse Solutions to Underdetermined Linear Systems Yun-Bin Zhao, Duan Li Level Bundle Methods for oracles with on-demand accuracy Welington Oliveira, Claudia Sagastizábal Nonsmooth Optimization NONSMOOTH CONE-CONSTRAINED OPTIMIZATION WITH APPLICATIONS TO SEMI-INFINITE PROGRAMMING Boris Mordukhovich, Nghia Tran Nonsmooth Optimization Learning how to play Nash, potential games and alternating minimization method for structured nonconvex problems on Riemannian manifolds J.X. da Cruz Neto, P.R. Oliveira, P.A. Soares Jr., A. Soubeyran A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem Lin Xiao, Tong Zhang April 2012 Nonsmooth Optimization Packing Ellipsoids with Overlap Caroline Uhler, Stephen Wright Convex Optimization Atomic norm denoising with applications to line spectral estimation Badri Bhaskar, Gongguo Tang, Benjamin Recht Convex Optimization Solution of monotone complementarity and general convex programming problems using modified potential reduction interior point method Kuo-Ling Huang, Sanjay Mehrotra May 2012 Convex Optimization Extrapolation and Local Acceleration of an Iterative Process for Common Fixed Point Problems Andrzej Cegielski, Yair Censor Nonsmooth Optimization Error Forgetting of Bregman Iteration Wotao Yin, Stanley Osher Convex Optimization When is a gap function good for error bounds? Joydeep Dutta Nonsmooth Optimization Tilt stability, uniform quadratic growth, and strong metric regularity of the subdifferential. Dmitriy Drusvyatskiy, Adrian S. Lewis Nonsmooth Optimization Sparse Approximation via Penalty Decomposition Methods Zhaosong Lu, Yong Zhang Convex Optimization Einstein-Hessian barriers on convex cones Roland Hildebrand June 2012 Convex Optimization Convergence and Perturbation Resilience of Dynamic String-Averaging Projection Methods Yair Censor, Alexander J. Zaslavski Convex Optimization Greedy approximation in convex optimization Vladimir Temlyakov Convex Optimization Greedy expansions in convex optimization Vladimir Temlyakov Convex Optimization Newton-Like Methods for Sparse Inverse Covariance Estimation Peder Olsen, Figen Oztoprak, Jorge Nocedal, Stephen Rennie Convex Optimization Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms Saeed Ghadimi, Guanghui Lan Convex Optimization A quasi-Newton proximal splitting method Stephen Becker, Jalal Fadili Convex Optimization A primal-dual splitting algorithm for finding zeros of sums of maximally monotone operators Radu Ioan Bot, Ernö Robert Csetnek, Andre Heinrich A Family of Second-Order Methods for Convex L1-Regularized Optimization Richard H Byrd, Gillian M Chin, Jorge Nocedal, Figen Oztoprak July 2012 A Generalized Sylvester Problem and a Generalized Fermat-Torricelli Problem for Euclidean Balls Nguyen Mau Nam, Nguyen Hoang, Nguyen Thai An Convex Optimization A variable smoothing algorithm for solving convex optimization problems Radu Ioan Bot, Christopher Hendrich Convex Optimization An acceleration procedure for optimal first-order methods Michel Baes, Michael Buergisser Convex Optimization Eliminating Duality Gap by Sigma Penalty CAN KIZILKALE Nonsmooth Optimization Optimality, identifiability, and sensitivity Dmitriy Drusvyatskiy, Adrian S. Lewis A first-order block-decomposition method for solving two-easy-block structured semidefinite programs Renato D. C. Monteiro, Camilo Ortiz, Benar F. Svaiter Convex Optimization A QCQP Approach to Triangulation Chris Aholt, Sameer Agarwal, Rekha Thomas August 2012 Nonsmooth Optimization Complexity Analysis of Interior Point Algorithms for Non-Lipschitz and Nonconvex Minimization Wei Bian, Xiaojun Chen, Yinyu Ye Nonsmooth Optimization Some criteria for error bounds in set optimization Duc Ha Truong Xuan Nonsmooth Optimization An adaptive accelerated first-order method for convex optimization Renato D. C. Monteiro, Camilo Ortiz, Benar F. Svaiter Convex Optimization Bounds on Eigenvalues of Matrices Arising from Interior-Point Methods Chen Greif, Erin Moulding, Dominique Orban Nonsmooth Optimization CHARACTERIZATIONS OF FULL STABILITY IN CONSTRAINED OPTIMIZATION Boris MORDUKHOVICH, Terry ROCKAFELLAR, Ebrahim SARABI An Efficient Augmented Lagrangian Method with Applications to Total Variation Minimization Chengbo Li, Wotao Yin, Hong Jiang, Yin Zhang Convex Optimization A Newton’s method for the continuous quadratic knapsack problem Roberto Cominetti, Walter F. Mascarenhas, Paulo J. S. Silva Convex Optimization On the Global and Linear Convergence of the Generalized Alternating Direction Method of Multipliers Wei Deng, Wotao Yin Convex Optimization Fast global convergence of gradient methods for high-dimensional statistical recovery Alekh Agarwal, Sahand Negahban, Martin Wainwright Primal-dual subgradient method for Huge-Scale Linear Conic Problems Yurii Nesterov, Sergey Shipirko Epi-convergent Smoothing with Applications to Convex Composite Functions James V. Burke, Tim Hoheisel September 2012 Nonsmooth Optimization On Stable Piecewise Linearization and Generalized Algorithmic Differentiation Andreas Griewank Erratum to: On the set-semidefinite representation of nonconvex quadratic programs over arbitrary feasible sets'' [Optim. Letters, 2012] Peter J.C. Dickinson, Gabriele Eichfelder, Janez Povh Nonsmooth Optimization Second-order variational analysis and characterizations of tilt-stable optimal solutions in finite and infinite dimensions Boris Mordukhovich, Nghia Tran Gradient consistency for integral-convolution smoothing functions James V. Burke, Tim Hoheisel, Christian Kanzow Convex Optimization Compressed Sensing Off the Grid Gongguo Tang, Badri Narayan Bhaskar, Parikshit Shah, Benjamin Recht Convex Optimization Alternating Proximal Gradient Method for Convex Minimization Shiqian Ma Convex Optimization Convergence rate and iteration complexity on the alternating direction method of multipliers with a substitution procedure for separable convex programming Bingsheng He, Min Tao, Xiaoming Yuan Nonsmooth Optimization Iterative Reweighted Minimization Methods for $l_p$ Regularized Unconstrained Nonlinear Programming Zhaosong Lu October 2012 Convex Optimization Inexact dual gradient methods with guaranteed primal feasibility: application to distributed MPC Ion Necoara, Valentin Nedelcu Nonsmooth Optimization Sequential Convex Programming Methods for A Class of Structured Nonlinear Programming Zhaosong Lu Nonsmooth Optimization Reducing the Number of Function Evaluations in Mesh Adaptive Direct Search Algorithms Charles Audet, Andrea Ianni, Sébastien Le Digabel, Christophe Tribes Metric regularity of composition set-valued mappings: metric setting and coderivative conditions Marius Durea, Van Ngai Huynh, Huu Tron Nguyen, Radu Strugariu Nonsmooth Optimization Variational Analysis of the Spectral Abscissa at a Matrix with a Nongeneric Multiple Eigenvalue Sara Grundel, M. L. Overton Convex Optimization Solving large scale polynomial convex problems on \ell_1/nuclear norm balls by randomized first-order algorithms Aharon Ben-Tal, Arkadi Nemirovski Nonsmooth Optimization Iterative Hard Thresholding Methods for $l_0$ Regularized Convex Cone Programming Zhaosong Lu November 2012 AN INEXACT PERTURBED PATH-FOLLOWING METHOD FOR LAGRANGIAN DECOMPOSITION IN LARGE-SCALE SEPARABLE CONVEX OPTIMIZATION Quoc Tran Dinh, Ion Necoara, Carlo Savorgnan, Moritz Diehl COMPUTATIONAL COMPLEXITY OF INEXACT GRADIENT AUGMENTED LAGRANGIAN METHODS: APPLICATION TO CONSTRAINED MPC Valentin Nedelcu, Ion Necoara, Quoc Tran Dinh Convex Optimization Efficient parallel coordinate descent algorithm for convex optimization problems with separable constraints: application to distributed MPC Ion Necoara, Dragos Clipici Convex Optimization Convergence analysis for a primal-dual monotone + skew splitting algorithm with applications to total variation minimization Radu Ioan Bot, Christopher Hendrich Nonsmooth Optimization Clarke subgradients for directionally Lipschitzian stratifiable functions Dmitriy Drusvyatskiy, Adrian Lewis, Alexander Ioffe Convex Optimization Parallel Coordinate Descent Methods for Big Data Optimization Peter Richtarik, Martin Takac Convex Optimization Convergence analysis of the Peaceman-Rachford splitting method for nonsmooth convex optimization Deren Han, Xiaoming Yuan December 2012 Convex Optimization A Douglas-Rachford type primal-dual method for solving inclusions with mixtures of composite and parallel-sum type monotone operators Radu Ioan Bot, Christopher Hendrich Convex Optimization Augmented Lagrangian and Alternating Direction Methods for Convex Optimization: A Tutorial and Some Illustrative Computational Results Jonathan Eckstein Convex Optimization Tensor Principal Component Analysis via Convex Optimization Bo Jiang, Shiqian Ma, Shuzhong Zhang Constrained Bundle Methods for Upper Inexact Oracles with Application to Joint Chance Constrained Energy Problems Wim van Ackooij, Claudia Sagastizábal Trajectories of Descent Dmitriy Drusvyatskiy, Alexander D. Ioffe, Adrian S. Lewis Nonsmooth Optimization Partial Second-Order Subdifferentials in Variational Analysis and Optimization Boris Mordukhovich, Nguyen Mau Nam, Nguyen Thi Yen Nhi 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.