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Computational Optimization and Applications

2006 - 2023

Current editor(s): William W. Hager

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Volume 84, issue 3, 2023

Secant penalized BFGS: a noise robust quasi-Newton method via penalizing the secant condition pp. 651-702 Downloads
Brian Irwin and Eldad Haber
Conic formulation of QPCCs applied to truly sparse QPs pp. 703-735 Downloads
Immanuel M. Bomze and Bo Peng
A smoothing proximal gradient algorithm with extrapolation for the relaxation of $${\ell_{0}}$$ ℓ 0 regularization problem pp. 737-760 Downloads
Jie Zhang, Xinmin Yang, Gaoxi Li and Ke Zhang
T-product factorization based method for matrix and tensor completion problems pp. 761-788 Downloads
Quan Yu and Xinzhen Zhang
Computational aspects of column generation for nonlinear and conic optimization: classical and linearized schemes pp. 789-831 Downloads
Renaud Chicoisne
Majorization-minimization-based Levenberg–Marquardt method for constrained nonlinear least squares pp. 833-874 Downloads
Naoki Marumo, Takayuki Okuno and Akiko Takeda
A matrix nonconvex relaxation approach to unconstrained binary polynomial programs pp. 875-919 Downloads
Yitian Qian, Shaohua Pan and Shujun Bi
On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions pp. 921-972 Downloads
Claire Boyer and Antoine Godichon-Baggioni
Lifted stationary points of sparse optimization with complementarity constraints pp. 973-1003 Downloads
Shisen Liu and Xiaojun Chen
A sequential adaptive regularisation using cubics algorithm for solving nonlinear equality constrained optimization pp. 1005-1033 Downloads
Yonggang Pei, Shaofang Song and Detong Zhu

Volume 84, issue 2, 2023

On FISTA with a relative error rule pp. 295-318 Downloads
Yunier Bello-Cruz, Max L. N. Gonçalves and Nathan Krislock
An abstract convergence framework with application to inertial inexact forward–backward methods pp. 319-362 Downloads
Silvia Bonettini, Peter Ochs, Marco Prato and Simone Rebegoldi
Inexact gradient projection method with relative error tolerance pp. 363-395 Downloads
A. A. Aguiar, O. P. Ferreira and L. F. Prudente
A subgradient method with non-monotone line search pp. 397-420 Downloads
O. P. Ferreira, G. N. Grapiglia, E. M. Santos and J. C. O. Souza
Loss functions for finite sets pp. 421-447 Downloads
Jiawang Nie and Suhan Zhong
Efficient differentiable quadratic programming layers: an ADMM approach pp. 449-476 Downloads
Andrew Butler and Roy H. Kwon
A global exact penalty for rank-constrained optimization problem and applications pp. 477-508 Downloads
Zhikai Yang and Le Han
On global convergence of alternating least squares for tensor approximation pp. 509-529 Downloads
Yuning Yang
Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization pp. 531-572 Downloads
Juan Gao, Xin-Wei Liu, Yu-Hong Dai, Yakui Huang and Junhua Gu
OFFO minimization algorithms for second-order optimality and their complexity pp. 573-607 Downloads
S. Gratton and Ph. L. Toint
A two-level distributed algorithm for nonconvex constrained optimization pp. 609-649 Downloads
Kaizhao Sun and X. Andy Sun

Volume 84, issue 1, 2023

Special issue for SIMAI 2020–2021: large-scale optimization and applications pp. 1-4 Downloads
Valeria Ruggiero and Gerardo Toraldo
Cartoon-texture evolution for two-region image segmentation pp. 5-26 Downloads
Laura Antonelli, Valentina De Simone and Marco Viola
A random time-dependent noncooperative equilibrium problem pp. 27-52 Downloads
Annamaria Barbagallo and Serena Guarino Lo Bianco
A stochastic first-order trust-region method with inexact restoration for finite-sum minimization pp. 53-84 Downloads
Stefania Bellavia, Nataša Krejić, Benedetta Morini and Simone Rebegoldi
A nested primal–dual FISTA-like scheme for composite convex optimization problems pp. 85-123 Downloads
S. Bonettini, M. Prato and S. Rebegoldi
Constrained and unconstrained deep image prior optimization models with automatic regularization pp. 125-149 Downloads
Pasquale Cascarano, Giorgia Franchini, Erich Kobler, Federica Porta and Andrea Sebastiani
Hybrid limited memory gradient projection methods for box-constrained optimization problems pp. 151-189 Downloads
Serena Crisci, Federica Porta, Valeria Ruggiero and Luca Zanni
An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations pp. 191-223 Downloads
Dominik Garmatter, Margherita Porcelli, Francesco Rinaldi and Martin Stoll
Avoiding bad steps in Frank-Wolfe variants pp. 225-264 Downloads
Francesco Rinaldi and Damiano Zeffiro
From inexact optimization to learning via gradient concentration pp. 265-294 Downloads
Bernhard Stankewitz, Nicole Mücke and Lorenzo Rosasco

Volume 83, issue 3, 2022

COAP 2021 Best Paper Prize pp. 723-726 Downloads
Christian Kanzow and Theresa Lechner
General-purpose preconditioning for regularized interior point methods pp. 727-757 Downloads
Jacek Gondzio, Spyridon Pougkakiotis and John W. Pearson
Modeling design and control problems involving neural network surrogates pp. 759-800 Downloads
Dominic Yang, Prasanna Balaprakash and Sven Leyffer
Solving constrained nonsmooth group sparse optimization via group Capped- $$\ell _1$$ ℓ 1 relaxation and group smoothing proximal gradient algorithm pp. 801-844 Downloads
Xian Zhang and Dingtao Peng
“FISTA” in Banach spaces with adaptive discretisations pp. 845-892 Downloads
Antonin Chambolle and Robert Tovey
New Bregman proximal type algorithms for solving DC optimization problems pp. 893-931 Downloads
Shota Takahashi, Mituhiro Fukuda and Mirai Tanaka
Completely positive factorization by a Riemannian smoothing method pp. 933-966 Downloads
Zhijian Lai and Akiko Yoshise
An extrapolated iteratively reweighted $$\ell _1$$ ℓ 1 method with complexity analysis pp. 967-997 Downloads
Hao Wang, Hao Zeng and Jiashan Wang
Computable centering methods for spiraling algorithms and their duals, with motivations from the theory of Lyapunov functions pp. 999-1026 Downloads
Scott B. Lindstrom
A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs pp. 1027-1064 Downloads
Yuya Yamakawa and Takayuki Okuno

Volume 83, issue 2, 2022

Levenberg–Marquardt method based on probabilistic Jacobian models for nonlinear equations pp. 381-401 Downloads
Ruixue Zhao and Jinyan Fan
Globally convergent Newton-type methods for multiobjective optimization pp. 403-434 Downloads
M. L. N. Gonçalves, F. S. Lima and L. F. Prudente
Efficient scalarization in multiobjective optimal control of a nonsmooth PDE pp. 435-464 Downloads
Marco Bernreuther, Georg Müller and Stefan Volkwein
Stochastic relaxed inertial forward-backward-forward splitting for monotone inclusions in Hilbert spaces pp. 465-524 Downloads
Shisheng Cui, Uday Shanbhag, Mathias Staudigl and Phan Vuong
Minimum cost b-matching problems with neighborhoods pp. 525-553 Downloads
I. Espejo, R. Páez, J. Puerto and A. M. Rodríguez-Chía
Shortest path with acceleration constraints: complexity and approximation algorithms pp. 555-592 Downloads
S. Ardizzoni, L. Consolini, M. Laurini and M. Locatelli
A generalized shortest path tour problem with time windows pp. 593-614 Downloads
L. Di Puglia Pugliese, D. Ferone, P. Festa and F. Guerriero
Generalized Nesterov’s accelerated proximal gradient algorithms with convergence rate of order o(1/k2) pp. 615-649 Downloads
Huynh Ngai and Ta Anh Son
Some modified fast iterative shrinkage thresholding algorithms with a new adaptive non-monotone stepsize strategy for nonsmooth and convex minimization problems pp. 651-691 Downloads
Hongwei Liu, Ting Wang and Zexian Liu
Minimization over the $$\ell _1$$ ℓ 1 -ball using an active-set non-monotone projected gradient pp. 693-721 Downloads
Andrea Cristofari, Marianna Santis, Stefano Lucidi and Francesco Rinaldi

Volume 83, issue 1, 2022

Block coordinate descent for smooth nonconvex constrained minimization pp. 1-27 Downloads
E. G. Birgin and J. M. Martínez
Quantifying uncertainty with ensembles of surrogates for blackbox optimization pp. 29-66 Downloads
Charles Audet, Sébastien Le Digabel and Renaud Saltet
Polyhedral analysis and a new algorithm for the length constrained K–drones rural postman problem pp. 67-109 Downloads
James Campbell, Ángel Corberán, Isaac Plana, José M. Sanchis and Paula Segura
Robust min-max regret covering problems pp. 111-141 Downloads
Amadeu A. Coco, Andréa Cynthia Santos and Thiago F. Noronha
A stochastic primal-dual method for a class of nonconvex constrained optimization pp. 143-180 Downloads
Lingzi Jin and Xiao Wang
Sub-linear convergence of a stochastic proximal iteration method in Hilbert space pp. 181-210 Downloads
Monika Eisenmann, Tony Stillfjord and Måns Williamson
Projected orthogonal vectors in two-dimensional search interior point algorithms for linear programming pp. 211-246 Downloads
Fabio Vitor and Todd Easton
Inertial alternating direction method of multipliers for non-convex non-smooth optimization pp. 247-285 Downloads
Le Thi Khanh Hien, Duy Nhat Phan and Nicolas Gillis
Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization pp. 287-317 Downloads
Xin Qu and Wei Bian
A product space reformulation with reduced dimension for splitting algorithms pp. 319-348 Downloads
Rubén Campoy
Abstract strongly convergent variants of the proximal point algorithm pp. 349-380 Downloads
Andrei Sipoş
Page updated 2023-03-27