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ORCIDComputational Optimization and Applications, Volume 73
Volume 73, Number 1, May 2019
- Nicholas I. M. Gould
, Tyrone Rees, Jennifer A. Scott:
Convergence and evaluation-complexity analysis of a regularized tensor-Newton method for solving nonlinear least-squares problems. 1-35 - Peter J. C. Dickinson, Janez Povh:
A new approximation hierarchy for polynomial conic optimization. 37-67 - Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection. 69-100 - Luca Consolini, Mattia Laurini, Marco Locatelli:
Graph-based algorithms for the efficient solution of optimization problems involving monotone functions. 101-128 - Zhongming Wu, Min Li:
General inertial proximal gradient method for a class of nonconvex nonsmooth optimization problems. 129-158 - Yunmei Chen, Guanghui Lan, Yuyuan Ouyang, Wei Zhang:
Fast bundle-level methods for unconstrained and ball-constrained convex optimization. 159-199 - William W. Hager, Hongchao Zhang:
Inexact alternating direction methods of multipliers for separable convex optimization. 201-235 - Majela Pentón Machado:
Projective method of multipliers for linearly constrained convex minimization. 237-273 - Sumit Kunnumkal, Kalyan T. Talluri:
A strong Lagrangian relaxation for general discrete-choice network revenue management. 275-310 - Guoqiang Wang, Bo Yu:
PAL-Hom method for QP and an application to LP. 311-352
Volume 73, Number 2, June 2019
- Peiran Yu, Ting Kei Pong:
Iteratively reweighted \(\ell _1\) algorithms with extrapolation. 353-386 - Chin Pang Ho, Panos Parpas:
Empirical risk minimization: probabilistic complexity and stepsize strategy. 387-410 - Andrea Cristofari:
An almost cyclic 2-coordinate descent method for singly linearly constrained problems. 411-452 - Yu-Fan Li, Kun Shang, Zheng-Hai Huang:
A singular value p-shrinkage thresholding algorithm for low rank matrix recovery. 453-476 - Juan Yin, Qingna Li:
A semismooth Newton method for support vector classification and regression. 477-508 - Lina Abdallah, Mounir Haddou, Tangi Migot:
A sub-additive DC approach to the complementarity problem. 509-534 - Luiz-Rafael Santos, Fernando R. Villas-Bôas, Aurelio R. L. Oliveira, Clovis Perin:
Optimized choice of parameters in interior-point methods for linear programming. 535-574 - Lluís-Miquel Munguía, Geoffrey Oxberry, Deepak Rajan, Yuji Shinano:
Parallel PIPS-SBB: multi-level parallelism for stochastic mixed-integer programs. 575-601 - Víctor Blanco:
Ordered p-median problems with neighbourhoods. 603-645 - C. Yalçin Kaya:
Markov-Dubins interpolating curves. 647-677 - Jean-Thomas Camino, Christian Artigues, Laurent Houssin, Stéphane Mourgues:
Linearization of Euclidean norm dependent inequalities applied to multibeam satellites design. 679-705
Volume 73, Number 3, July 2019
- Ernesto G. Birgin, José Mario Martínez:
A Newton-like method with mixed factorizations and cubic regularization for unconstrained minimization. 707-753 - Eike Börgens, Christian Kanzow:
Regularized Jacobi-type ADMM-methods for a class of separable convex optimization problems in Hilbert spaces. 755-790 - Martin Robinius, Lars Schewe, Martin Schmidt, Detlef Stolten, Johannes Thürauf, Lara Welder:
Robust optimal discrete arc sizing for tree-shaped potential networks. 791-819 - Axel Dreves:
An algorithm for equilibrium selection in generalized Nash equilibrium problems. 821-837 - Dongying Wang, Xianfu Wang:
A parameterized Douglas-Rachford algorithm. 839-869 - Feng Ma:
On relaxation of some customized proximal point algorithms for convex minimization: from variational inequality perspective. 871-901 - Yi Zhou, Yingbin Liang, Lixin Shen:
A simple convergence analysis of Bregman proximal gradient algorithm. 903-912 - Dang Van Hieu, Pham Ky Anh, Le Dung Muu:
Modified extragradient-like algorithms with new stepsizes for variational inequalities. 913-932 - Zhitao Xu, Li Gao:
The Uzawa-MBB type algorithm for nonsymmetric saddle point problems. 933-956 - Songqiang Qiu:
Convergence of a stabilized SQP method for equality constrained optimization. 957-996 - Enrique Otárola, Richard Rankin, Abner J. Salgado:
Maximum-norm a posteriori error estimates for an optimal control problem. 997-1017 - Zhi Wang, Kelvin Droegemeier, Luther W. White:
Correction to: The adjoint Newton algorithm for large-scale unconstrained optimization in meteorology applications. 1019
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