Computational Optimization and Applications

2006 - 2026

Current editor(s): William W. Hager

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Volume 94, issue 1, 2026

Exploiting negative curvature in conjunction with adaptive sampling: theoretical results and a practical algorithm pp. 1-37

Albert S. Berahas, Raghu Bollapragada and Wanping Dong

Correction: Exploiting negative curvature in conjunction with adaptive sampling: theoretical results and a practical algorithm pp. 39-39

Albert S. Berahas, Raghu Bollapragada and Wanping Dong

Verifying Robustness of Neural Networks with Tight Semidefinite Relaxations pp. 41-72

Godai Azuma, Sunyoung Kim and Makoto Yamashita

A linesearch-type normal map-based semismooth Newton method for nonsmooth nonconvex composite optimization pp. 73-110

Hanfeng Zeng, Wenqing Ouyang and Andre Milzarek

A symmetric primal-dual method with double extrapolation for composite convex optimization involving three functions pp. 111-140

Lihan Zhou and Feng Ma

Revisiting Extragradient-Type Methods: Part 1—Generalizations and Sublinear Convergence Rates pp. 141-210

Quoc Tran-Dinh and Nghia Nguyen-Trung

An improved convergence guarantee for the gradient-push algorithm with a constant stepsize pp. 211-248

Hyogi Choi, Woocheol Choi and Gwangil Kim

Shape and topology optimization for elasticity system using shape gradients and topological derivatives pp. 249-277

Yixin Tan and Jan Sokolowski

Domain decomposition for entropic unbalanced optimal transport pp. 279-315

Ismael Medina, The Sang Nguyen and Bernhard Schmitzer

FIRM: federated image reconstruction using multimodal tomographic data pp. 317-352

Geunyeong Byeon, Minseok Ryu, Zichao Wendy Di and Kibaek Kim

Weighting method for non-preemptive multi-objective mathematical programming pp. 353-371

Leonardo Ferro, Gianluca Filaci, Andrea Manzini and Antonio Ornatelli

Sample average approximation for portfolio optimization under CVaR constraint in a (re)insurance context pp. 373-399

Jérôme Lelong, Véronique Maume-Deschamps and William Thevenot

Discrete Fick’s law algorithm with new transfer function and aggregation optimization strategy for solving multiple knapsack problem pp. 401-438

Manman Meng, Yichao He, Wenbin Li, Guoxin Chen, Ju Chen and Zexian Gao

Volume 93, issue 3, 2026

A line search framework with restarting for noisy optimization problems pp. 899-920

Albert S. Berahas, Michael J. O’Neill and Clément W. Royer

A derivative-free approach to mixed integer constrained multiobjective nonsmooth black-box optimization pp. 921-966

G. Liuzzi and S. Lucidi

Derivative-free stochastic bilevel optimization for inverse problems pp. 967-1020

Mathias Staudigl, Simon Weissmann and Tristan van Leeuwen

A nonlinear conjugate gradient algorithm for multiobjective optimization: multiple hybrid search direction and global rates pp. 1021-1067

Qing-Rui He, Sheng-Jie Li, Ming-Hua Li and Chun-Rong Chen

Multi-objective k-way parallel hypergraph partitioning with proximal gradient algorithm pp. 1069-1105

Yingying Li, Hongwei Liu, Hailong You, Zexian Liu and Fang Zhang

New restricted isometry properties of constrained and unconstrained $$L_{*-F}$$ L ∗ - F minimization for low-rank approximation pp. 1107-1143

Yan Li, Yu-Hong Dai and Liping Zhang

Distributionally robust optimization problem with probabilistic envelope constraints over Wasserstein ball pp. 1145-1189

Yining Gu, Yanjun Wang, Zhen Cao and Yicheng Huang

Quantitative results for a Tseng-type primal-dual method for composite monotone inclusions pp. 1191-1223

Ulrich Kohlenbach and Nicholas Pischke

A preconditioned inexact infeasible quantum interior point method for linear optimization pp. 1225-1257

Zeguan Wu, Xiu Yang and Tamás Terlaky

Inexact FISTA-like Methods with Adaptive Backtracking pp. 1259-1304

Gabriel R. S. Grillo, Elias S. Helou and Sandra A. Santos

Shape optimization of polytopes and application to the polyhedral Saint–Venant inequality pp. 1305-1353

Josué D. Díaz-Avalos and Antoine Laurain

The golden ratio primal-dual algorithm with two new stepsize rules for convex-concave saddle point problems pp. 1355-1399

Santanu Soe, Matthew K. Tam and Vellaichamy Vetrivel

Correction to: From Halpern’s fixed-point iterations to Nesterov’s accelerated interpretations for root-finding problems pp. 1401-1402

Quoc Tran-Dinh

Volume 93, issue 2, 2026

Active set-based inexact proximal bundle algorithm for stochastic quadratic programming pp. 489-521

Niloofar Fadavi and Harsha Gangammanavar

An overview and comparison of spectral bundle methods for primal and dual semidefinite programs pp. 523-566

Feng-Yi Liao, Lijun Ding and Yang Zheng

Error bounds and Newton-type methods for reformulations of Karush–Kuhn–Tucker systems of mathematical programs with complementarity constraints pp. 567-599

Andreas Fischer, Alexey F. Izmailov, Maik Punke and Zhibai Yan

Transformations of variables and transformations of equations via the perturbed Newton method framework pp. 601-616

Alexey F. Izmailov and Mikhail V. Solodov

Global convergence analysis of the power proximal point and augmented Lagrangian method pp. 617-649

Konstantinos A. Oikonomidis, Alexander Bodard, Emanuel Laude and Panagiotis Patrinos

Symplectic discretization approach for developing new proximal point algorithm pp. 651-687

Ya-xiang Yuan and Yi Zhang

Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints pp. 689-727

Lahcen El Bourkhissi and Ion Necoara

A general framework for inexact splitting algorithms with relative errors and applications to Chambolle–Pock and Davis–Yin methods pp. 729-763

M. Marques Alves, Dirk A. Lorenz and Emanuele Naldi

Extrapolated hard thresholding algorithms with finite length for composite $$\ell _0$$ penalized problems pp. 765-794

Fan Wu, Jiazhen Wei and Wei Bian

A globally convergent gradient method with momentum pp. 795-820

Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi, Davide Pucci and Marco Sciandrone

A shape optimization approach for a Batchelor flow problem pp. 821-850

Henry Kasumba

A simple and effective exact method for the medianoid problem with multipurpose trips pp. 851-897

Juan Pablo Fernández-Gutiérrez, Juan G. Villegas and José-Fernando Camacho-Vallejo

Volume 93, issue 1, 2026

A globalized inexact semismooth Newton method for nonsmooth fixed-point equations involving variational inequalities pp. 1-55

Amal Alphonse, Constantin Christof, Michael Hintermüller and Ioannis P. A. Papadopoulos

Probabilistic iterative hard thresholding for sparse learning pp. 57-83

Matteo Bergamaschi, Andrea Cristofari, Vyacheslav Kungurtsev and Francesco Rinaldi

prunAdag: an adaptive pruning-aware gradient method pp. 85-119

Margherita Porcelli, Giovanni Seraghiti and Philippe L. Toint

Accelerated forward-backward algorithms with subgradient corrections pp. 121-156

Xin He and Yaping Fang

Variable metric proximal stochastic gradient methods with additional sampling pp. 157-207

Nataša Krklec Jerinkić, Federica Porta, Valeria Ruggiero and Ilaria Trombini

Conditional gradients for total variation regularization with PDE constraints: a graph cuts approach pp. 209-265

Giacomo Cristinelli, José A. Iglesias and Daniel Walter

A heuristic algorithm for the cluster editing problem pp. 267-301

Keisuke Murakami and Takeaki Uno

Behavioral portfolio optimization via cumulative prospect theory with a symmetric alternating direction method of multipliers pp. 303-334

Zhongming Wu, Liu Yang and Valentina De Simone

A novel global algorithm for optimal portfolio selection with maximum relative marginal risk via SCO method and SOCP relaxation pp. 335-372

Hezhi Luo, Tianxing Gou, Huixian Wu and Qian Li

A reconsideration of quasimonotone variational inequality problems pp. 373-395

Meiying Wang, Hongwei Liu and Jun Yang

Formulations and algorithms for the simple cycle problem pp. 397-433

Abilio Lucena, Luidi Simonetti and Alexandre Salles da Cunha

An overview of absolute value equations: from theory to solution methods and challenges pp. 435-488

Milan Hladík, Hossein Moosaei, Fakhrodin Hashemi, Saeed Ketabchi and Panos M. Pardalos