Journal: SIAM Journal on Optimization

Volume 22, Issue 2

281 -- 285Mert Gürbüzbalaban, Michael L. Overton. Some Regularity Results for the Pseudospectral Abscissa and Pseudospectral Radius of a Matrix
286 -- 312Vincent Guigues, Werner Römisch. Sampling-Based Decomposition Methods for Multistage Stochastic Programs Based on Extended Polyhedral Risk Measures
313 -- 340Bingsheng He, Min Tao, Xiaoming Yuan. Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming
341 -- 362Yurii Nesterov. Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems
363 -- 383Kristijan Cafuta, Igor Klep, Janez Povh. Constrained Polynomial Optimization Problems with Noncommuting Variables
384 -- 407D. Fernández, Mikhail V. Solodov. Local Convergence of Exact and Inexact Augmented Lagrangian Methods under the Second-Order Sufficient Optimality Condition
408 -- 428Jiawang Nie, Li Wang. Regularization Methods for SDP Relaxations in Large-Scale Polynomial Optimization
429 -- 459N. S. Aybat, Garud Iyengar. A First-Order Augmented Lagrangian Method for Compressed Sensing
460 -- 473Mehdi Ghasemi, Murray Marshall. Lower Bounds for Polynomials Using Geometric Programming
474 -- 500Frank E. Curtis, Michael L. Overton. A Sequential Quadratic Programming Algorithm for Nonconvex, Nonsmooth Constrained Optimization
501 -- 532Jeffrey C. Lagarias, Bjorn Poonen, Margaret H. Wright. Convergence of the Restricted Nelder-Mead Algorithm in Two Dimensions
533 -- 556Donald Goldfarb, Shiqian Ma. Fast Multiple-Splitting Algorithms for Convex Optimization
557 -- 580Amir Beck, Marc Teboulle. Smoothing and First Order Methods: A Unified Framework
581 -- 595Etienne de Klerk, Dmitrii V. Pasechnik. n via Semidefinite Programming
596 -- 627Wolfgang Ring, Benedikt Wirth. Optimization Methods on Riemannian Manifolds and Their Application to Shape Space
628 -- 648Dimitra Bampou, Daniel Kuhn. Polynomial Approximations for Continuous Linear Programs
649 -- 673Xiaojun Chen, Roger J.-B. Wets, Yanfang Zhang. Stochastic Variational Inequalities: Residual Minimization Smoothing Sample Average Approximations
674 -- 701John C. Duchi, Peter L. Bartlett, Martin J. Wainwright. Randomized Smoothing for Stochastic Optimization
702 -- 727Olivier Devolder, François Glineur, Yurii Nesterov. Double Smoothing Technique for Large-Scale Linearly Constrained Convex Optimization
728 -- 737Negar Soheili, Javier Peña. A Smooth Perceptron Algorithm