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Computational Optimization and Applications, Volume 74
Volume 74, Number 1, September 2019
- Wim van Ackooij
, Welington de Oliveira, Yongjia Song:
On level regularization with normal solutions in decomposition methods for multistage stochastic programming problems. 1-42 - Yu-Hong Dai, Yakui Huang
A family of spectral gradient methods for optimization. 43-65 - Dirk A. Lorenz
Non-stationary Douglas-Rachford and alternating direction method of multipliers: adaptive step-sizes and convergence. 67-92 - Jacek Gondzio
Quasi-Newton approaches to interior point methods for quadratic problems. 93-120 - Johannes Brust
A dense initialization for limited-memory quasi-Newton methods. 121-142 - Yiran Cui
Implementation of interior-point methods for LP based on Krylov subspace iterative solvers with inner-iteration preconditioning. 143-176 - Jae Hwa Lee
A subspace SQP method for equality constrained optimization. 177-194 - Akram Taati, Maziar Salahi
A conjugate gradient-based algorithm for large-scale quadratic programming problem with one quadratic constraint. 195-223 - Pedro Merino
A difference-of-convex functions approach for sparse PDE optimal control problems with nonconvex costs. 225-258 - Wanchun Chen, Wenhao Du, William W. Hager
Bounds for integration matrices that arise in Gauss and Radau collocation. 259-273 - William W. Hager
Convergence rate for a Radau hp collocation method applied to constrained optimal control. 275-314 - William W. Hager
Correction to: Convergence rate for a Radau hp collocation method applied to constrained optimal control. 315-316
Volume 74, Number 2, November 2019
- Hikaru Komeiji, Sunyoung Kim, Makoto Yamashita:
On the conditions for the finite termination of ADMM and its applications to SOS polynomials feasibility problems. 317-344 - Lori Badea
Additive and restricted additive Schwarz-Richardson methods for inequalities with nonlinear monotone operators. 345-385 - Andreas M. Tillmann
Computing the spark: mixed-integer programming for the (vector) matroid girth problem. 387-441 - Najmeh Hoseini Monjezi, S. Nobakhtian:
A new infeasible proximal bundle algorithm for nonsmooth nonconvex constrained optimization. 443-480 - Jingqun Li
A novel convex dual approach to three-dimensional assignment problem: theoretical analysis. 481-516 - Ron Teller, Moshe Zofi, Moshe Kaspi
Minimizing the average searching time for an object within a graph. 517-545 - Jifeng Bao, Carisa Kwok Wai Yu, Jinhua Wang, Yaohua Hu, Jen-Chih Yao:
Modified inexact Levenberg-Marquardt methods for solving nonlinear least squares problems. 547-582 - Chee-Khian Sim
Interior point method on semi-definite linear complementarity problems using the Nesterov-Todd (NT) search direction: polynomial complexity and local convergence. 583-621
Volume 74, Number 3, December 2019
- COAP 2018 Best Paper Prize. 623-626
- Enzo Busseti
Solution refinement at regular points of conic problems. 627-643 - Árpád Bürmen
Mesh adaptive direct search with simplicial Hessian update. 645-667 - Johannes Brust
Large-scale quasi-Newton trust-region methods with low-dimensional linear equality constraints. 669-701 - Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic:
Exact spectral-like gradient method for distributed optimization. 703-728 - Harry Fernando Oviedo Leon
A delayed weighted gradient method for strictly convex quadratic minimization. 729-746 - Ernest K. Ryu
Douglas-Rachford splitting and ADMM for pathological convex optimization. 747-778 - Aswin Kannan, Uday V. Shanbhag
Optimal stochastic extragradient schemes for pseudomonotone stochastic variational inequality problems and their variants. 779-820 - Xiaolong Qin
Smoothing algorithms for computing the projection onto a Minkowski sum of convex sets. 821-850 - Paola Festa, Francesca Guerriero
An auction-based approach for the re-optimization shortest path tree problem. 851-893 - Norberto Castillo-García
Two new integer linear programming formulations for the vertex bisection problem. 895-918 - Leonardo Di Gangi
An efficient optimization approach for best subset selection in linear regression, with application to model selection and fitting in autoregressive time-series. 919-948 - Zhi Wang, Kelvin Droegemeier, Luther W. White:
Correction to: The adjoint Newton algorithm for large-scale unconstrained optimization in meteorology applications. 949
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