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