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Comput. Optim. Appl.
Publications
volume 87, number 1, 2024
Jianghua Yin
,
Jinbao Jian
,
Guodong Ma
A modified inexact Levenberg-Marquardt method with the descent property for solving nonlinear equations.
Comput. Optim. Appl.
87 (1) (2024)
Quoc Tran-Dinh
From Halpern's fixed-point iterations to Nesterov's accelerated interpretations for root-finding problems.
Comput. Optim. Appl.
87 (1) (2024)
Roger Behling
,
Yunier Bello-Cruz
,
Alfredo N. Iusem
,
Di Liu
,
Luiz-Rafael Santos
A successive centralized circumcentered-reflection method for the convex feasibility problem.
Comput. Optim. Appl.
87 (1) (2024)
Shengchao Zhao
,
Yongchao Liu
Distributed stochastic compositional optimization problems over directed networks.
Comput. Optim. Appl.
87 (1) (2024)
Zichong Li
,
Pin-Yu Chen
,
Sijia Liu
,
Songtao Lu
,
Yangyang Xu
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl.
87 (1) (2024)
Javier Peña
An easily computable upper bound on the Hoffman constant for homogeneous inequality systems.
Comput. Optim. Appl.
87 (1) (2024)
A. Mohammadi
,
Ana Luísa Custódio
A trust-region approach for computing Pareto fronts in multiobjective optimization.
Comput. Optim. Appl.
87 (1) (2024)
Bastian Pötzl
,
Anton Schiela
,
Patrick Jaap
Inexact proximal Newton methods in Hilbert spaces.
Comput. Optim. Appl.
87 (1) (2024)
R. Tyrrell Rockafellar
Generalizations of the proximal method of multipliers in convex optimization.
Comput. Optim. Appl.
87 (1) (2024)
Shiwei Wang
,
Chao Ding
Local convergence analysis of augmented Lagrangian method for nonlinear semidefinite programming.
Comput. Optim. Appl.
87 (1) (2024)
volume 87, number 2, 2024
Shahabeddin Najafi
,
Masoud Hajarian
Multiobjective BFGS method for optimization on Riemannian manifolds.
Comput. Optim. Appl.
87 (2) (2024)
Marco Locatelli
A new technique to derive tight convex underestimators (sometimes envelopes).
Comput. Optim. Appl.
87 (2) (2024)
Annalisa Greco
,
Francesco Cannizzaro
,
Riccardo Bruno
,
Alessandro Pluchino
A nested genetic algorithm strategy for an optimal seismic design of frames.
Comput. Optim. Appl.
87 (2) (2024)
Ensio Suonperä
,
Tuomo Valkonen
Linearly convergent bilevel optimization with single-step inner methods.
Comput. Optim. Appl.
87 (2) (2024)
Felipe Fidalgo
,
Emerson V. Castelani
,
Guilherme Philippi
A numerical-and-computational study on the impact of using quaternions in the branch-and-prune algorithm for exact discretizable distance geometry problems.
Comput. Optim. Appl.
87 (2) (2024)
Stuart M. Harwood
,
Francisco Trespalacios
,
Dimitri J. Papageorgiou
,
Kevin C. Furman
Equilibrium modeling and solution approaches inspired by nonconvex bilevel programming.
Comput. Optim. Appl.
87 (2) (2024)
Yassine Nabou
,
Ion Necoara
Efficiency of higher-order algorithms for minimizing composite functions.
Comput. Optim. Appl.
87 (2) (2024)
Mikhail A. Karapetyants
A fast continuous time approach for non-smooth convex optimization using Tikhonov regularization technique.
Comput. Optim. Appl.
87 (2) (2024)
Shummin Nakayama
,
Yasushi Narushima
,
Hiroshi Yabe
Inexact proximal DC Newton-type method for nonconvex composite functions.
Comput. Optim. Appl.
87 (2) (2024)
Shuotao Diao
,
Suvrajeet Sen
Distribution-free algorithms for predictive stochastic programming in the presence of streaming data.
Comput. Optim. Appl.
87 (2) (2024)
Claire Boyer
,
Antoine Godichon-Baggioni
Correction: On the asymptotic rate of convergence of Stochastic Newton algorithms and their Weighted Averaged versions.
Comput. Optim. Appl.
87 (2) (2024)
Patrick R. Johnstone
,
Jonathan Eckstein
,
Thomas Flynn
,
Shinjae Yoo
Correction to: Stochastic projective splitting.
Comput. Optim. Appl.
87 (2) (2024)
Patrick R. Johnstone
,
Jonathan Eckstein
,
Thomas Flynn
,
Shinjae Yoo
Stochastic projective splitting.
Comput. Optim. Appl.
87 (2) (2024)
volume 86, number 2, 2023
Tianxiang Liu
,
Ting Kei Pong
,
Akiko Takeda
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints.
Comput. Optim. Appl.
86 (2) (2023)
Dongdong Zhang
,
Shaohua Pan
,
Shujun Bi
,
Defeng Sun
Zero-norm regularized problems: equivalent surrogates, proximal MM method and statistical error bound.
Comput. Optim. Appl.
86 (2) (2023)
Manlio Gaudioso
,
Giovanni Giallombardo
,
Giovanna Miglionico
Sparse optimization via vector k-norm and DC programming with an application to feature selection for support vector machines.
Comput. Optim. Appl.
86 (2) (2023)
Nina Beranek
,
Martin Alexander Reinhold
,
Karsten Urban
A space-time variational method for optimal control problems: well-posedness, stability and numerical solution.
Comput. Optim. Appl.
86 (2) (2023)
Gui-Hua Lin
,
Zhen-Ping Yang
,
Haian Yin
,
Jin Zhang
A dual-based stochastic inexact algorithm for a class of stochastic nonsmooth convex composite problems.
Comput. Optim. Appl.
86 (2) (2023)
Hiroki Tanabe
,
Ellen H. Fukuda
,
Nobuo Yamashita
An accelerated proximal gradient method for multiobjective optimization.
Comput. Optim. Appl.
86 (2) (2023)
Letícia Becher
,
Damián R. Fernández
,
Alberto Ramos
A trust-region LP-Newton method for constrained nonsmooth equations under Hölder metric subregularity.
Comput. Optim. Appl.
86 (2) (2023)
volume 86, number 3, 2023
Gabriele Eichfelder
,
Lars Grüne
,
Lisa Krügel
,
Jonas Schießl
Relaxed dissipativity assumptions and a simplified algorithm for multiobjective MPC.
Comput. Optim. Appl.
86 (3) (2023)
Radu Ioan Bot
,
Ernö Robert Csetnek
,
Michael Sedlmayer
An accelerated minimax algorithm for convex-concave saddle point problems with nonsmooth coupling function.
Comput. Optim. Appl.
86 (3) (2023)
Jesús Camacho Moro
,
María Josefa Cánovas
,
Marco A. López
,
Juan Parra
Robust and continuous metric subregularity for linear inequality systems.
Comput. Optim. Appl.
86 (3) (2023)
William W. Hager
Extension of switch point algorithm to boundary-value problems.
Comput. Optim. Appl.
86 (3) (2023)
COAP 2022 Best Paper Prize.
Comput. Optim. Appl.
86 (3) (2023)
C. Yalçin Kaya
,
Helmut Maurer
Optimization over the Pareto front of nonconvex multi-objective optimal control problems.
Comput. Optim. Appl.
86 (3) (2023)
William W. Hager
,
R. Tyrrell Rockafellar
,
Vladimir M. Veliov
Preface to Asen L. Dontchev Memorial Special Issue.
Comput. Optim. Appl.
86 (3) (2023)
Helmut Gfrerer
,
Alexander Y. Kruger
Radius theorems for subregularity in infinite dimensions.
Comput. Optim. Appl.
86 (3) (2023)
Björn Martens
Error estimates for Runge-Kutta schemes of optimal control problems with index 1 DAEs.
Comput. Optim. Appl.
86 (3) (2023)
Helmut Gfrerer
,
Michael Mandlmayr
,
Jirí V. Outrata
,
Jan Valdman
On the SCD semismooth* Newton method for generalized equations with application to a class of static contact problems with Coulomb friction.
Comput. Optim. Appl.
86 (3) (2023)
R. Tyrrell Rockafellar
Generic linear convergence through metric subregularity in a variable-metric extension of the proximal point algorithm.
Comput. Optim. Appl.
86 (3) (2023)
Francisco J. Aragón Artacho
,
Yura Malitsky
,
Matthew K. Tam
,
David Torregrosa-Belén
Distributed forward-backward methods for ring networks.
Comput. Optim. Appl.
86 (3) (2023)
Shaoyan Guo
,
Hou-Duo Qi
,
Liwei Zhang
Perturbation analysis of the euclidean distance matrix optimization problem and its numerical implications.
Comput. Optim. Appl.
86 (3) (2023)
Zvi Artstein
Linear singularly perturbed systems without slow-fast split.
Comput. Optim. Appl.
86 (3) (2023)
Robert Baier
,
Elza M. Farkhi
A Filippov approximation theorem for strengthened one-sided Lipschitz differential inclusions.
Comput. Optim. Appl.
86 (3) (2023)
Samir Adly
,
Hédy Attouch
,
Manh Hung Le
First order inertial optimization algorithms with threshold effects associated with dry friction.
Comput. Optim. Appl.
86 (3) (2023)
Ziyan Luo
,
Liqun Qi
Optimality conditions for Tucker low-rank tensor optimization.
Comput. Optim. Appl.
86 (3) (2023)
Constantine Alexander Vitt
,
Darinka Dentcheva
,
Andrzej Ruszczynski
,
Nolan Sandberg
The deepest event cuts in risk-averse optimization with application to radiation therapy design.
Comput. Optim. Appl.
86 (3) (2023)
Jeffrey Christiansen
,
Brian C. Dandurand
,
Andrew C. Eberhard
,
Fabricio Oliveira
A study of progressive hedging for stochastic integer programming.
Comput. Optim. Appl.
86 (3) (2023)
Alberto Domínguez Corella
,
Nicolai Jork
,
Vladimir M. Veliov
On the solution stability of parabolic optimal control problems.
Comput. Optim. Appl.
86 (3) (2023)