Journal of Optimization Theory and Applications

1997 - 2026

Current editor(s): Franco Giannessi and David G. Hull

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Volume 209, issue 3, 2026

Reformulations of Separable Quadratic Optimization Problems with Symmetric Structures via Variable Aggregation pp. 1-34

Guangtai Qu, Cheng Lu, Junhao Wu, Shaoze Li, Zhibin Deng and Shu-Cherng Fang

An Infinite Horizon Sufficient Stochastic Maximum Principle for Regime-Switching Diffusions and Applications pp. 1-32

Kai Ding, Xun Li, Siyu Lv and Xin Zhang

Sum-of-Squares Programming for Ma-Trudinger-Wang Regularity of Optimal Transport Maps pp. 1-37

Sachin Shivakumar, Georgiy A. Bondar, Gabriel Khan and Abhishek Halder

Preface to the Special Issue on “Generalized Convexity, Monotonicity, Variational Analysis and Applications” pp. 1-2

Riccardo Cambini, Fabián Flores-Bazán, Nicolas Hadjisavvas and Rita Pini

A Unified Approach to Smoothing and Regularization for SOCCPs under Local Error Bound pp. 1-29

Rashmi Kumari and C. Nahak

Conjugate duality in set optimization via subdifferential respect to set-order relations pp. 1-25

Yuwen Zhai, Guolin Yu and Tian Tang

Bregman proximal gradient method for linear optimization under entropic constraints pp. 1-27

Luis M. Briceño-Arias and Maël Le Treust

Characterizing Stability of Parametric Nonconvex Polynomial Optimization Problems under Total Perturbations pp. 1-30

Tran Van Nghi and Nguyen Nang Tam

Volume-Preserving Parameterizations via Preconditioned Nonlinear Conjugate Gradient Method pp. 1-31

Shu-Yung Liu, Tsung-Ming Huang, Wen-Wei Lin and Mei-Heng Yueh

Computing Optimal Trajectories for a Tethered Pursuer in Straight-Line Motion pp. 1-17

Aurelio Barrera-Vicent, José-Miguel Díaz-Báñez, Fabio Rodríguez and Vanesa Sánchez-Canales

Volume 209, issue 2, 2026

Baillon-Bruck-Reich Revisited: Divergent-Series Parameters and Strong Convergence in the Linear Case pp. 1-6

Sedi Bartz, Heinz H. Bauschke and Yuan Gao

How to Project onto $$\text {SL}(n)$$ SL ( n ) pp. 1-43

Patrick Jaap and Oliver Sander

Enhanced Shape Recovery in Advection–Diffusion Problems Via a Novel ADMM-Based CCBM Optimization pp. 1-28

Elmehdi Cherrat, Lekbir Afraites and Julius Fergy Tiongson Rabago

First and Second-Order Conditions for Interval Optimization Problems by Using Generalized Interval Differences pp. 1-28

Yurilev Chalco-Cano, Beatriz Hernández-Jiménez and Alberto Ramos

A Hessian-free Inexact Regularized Newton Method for Composite Convex Optimization pp. 1-28

Jueyou Li and Taojie Meng

Feng-Liu and Kikkawa-Suzuki contractions on sets with a cyclical representation and applications to best proximity point theory pp. 1-17

Adrian Petruşel, Gabriela Petruşel and Jen-Chih Yao

External and Internal Stability for Set Optimization Problems pp. 1-36

Lam Quoc Anh, Lam Van Day, Tran Quoc Duy, Christiane Tammer and Jen-Chih Yao

Convexification of Fractional Distributionally Robust Probability Maximization Problems under Phi-Divergence Ambiguity pp. 1-48

H. N. Nguyen and M. A. Lejeune

Interval B-Tensors and Interval Double B-Tensors pp. 1-39

Li Ye and Yisheng Song

Directional Subdifferentials at Infinity and Their Applications pp. 1-33

Le Ngoc Kien, Nguyen Van Tuyen and Tran Van Nghi

Singular Perturbation Analysis of Accelerated Inertial Systems for Non-Potential Operators in the High-Damping Regime pp. 1-49

Samir Adly, Kouegnon D. Mitchozounnou and Olivier Prot

Second-Order Optimality Conditions for Sparse Optimization via Fréchet Second-Order Subdifferential pp. 1-26

Jiawei Chen, Yiran Wang, Yibing Lv and Jen-Chih Yao

Nonsmooth Variational Approach to Trajectory Optimization for Electrical Energy Recuperations pp. 1-22

Rico Zöllner, Friedemann Schuricht, Thorsten Schmidt and Wilfried Hofmann

On the Hardness of the $$L_{1}-L_{2}$$ L 1 - L 2 Regularization Problem pp. 1-22

Yuyuan Ouyang and Kyle Yates

Technical Results on the Convergence of Quasi-Newton Methods for Nonsmooth Optimization pp. 1-22

Bennet Gebken

An Augmented Lagrangian-Based Method Using Primitive Directions for Mixed-Integer Nonlinear Problems pp. 1-27

Andrea Cristofari, Gianni Di Pillo, Giampaolo Liuzzi and Stefano Lucidi

Cyclic Relaxed Douglas-Rachford Splitting for Inconsistent Nonconvex Feasibility pp. 1-27

Thi Lan Dinh, G. S. Matthijs Jansen and D. Russell Luke

A Shape Design Approximation for Degenerate Partial Differential Equations and Its Application pp. 1-27

Bao-Zhu Guo, Dong-Hui Yang and Jie Zhong

A System of Differential Inverse Mixed Variational Inequalities: Existence, Uniqueness, and Algorithm pp. 1-30

Zhang Huang, Wei Li, Qixia Zhang, Jieke Xu and Chunyan Yang

Using Filter Methods to Guide Convergence for ADMM, with Applications to Nonnegative Matrix Factorization Problems pp. 1-30

Robert Baraldi, Sven Leyffer and Stefan Wild

An Optimally Fast Objective-Function-Free Minimization Algorithm Using Random Subspaces pp. 1-30

Stefania Bellavia, Serge Gratton, Benedetta Morini and Philippe L. Toint

Continuous Time Differential Dynamic Programming for Nonzero-Sum Differential Games pp. 1-24

Mohammad Sarbaz and Wei Sun

S-shaped Utility Maximization with VaR Constraint and Partial Information pp. 1-24

Dongmei Zhu, Ashley Davey and Harry Zheng

Convergent Lifted Lasserre Hierarchy of SDPs for Minimizing Expectation of Piecewise Polynomial Loss over Wasserstein Balls pp. 1-31

Neil De Vera Dizon, Queenie Yingkun Huang, Thai Doan Chuong, Guoyin Li and Vaithilingam Jeyakumar

The Euler-Lagrange and Legendre Necessary Conditions for Fractional Calculus of Variations pp. 1-31

Shikhi Sh. Yusubov, Shakir Sh. Yusubov and Elimhan N. Mahmudov

Smoothing Functions for Sparse Optimization: A Unified Framework pp. 1-35

Chieu Thanh Nguyen and Jein-Shan Chen

Modified Legendre-Gauss Collocation Method for Solving Optimal Control Problems with Nonsmooth Solutions pp. 1-35

Gabriela Abadia-Doyle and Anil V. Rao

Multiscale Stochastic Control With Domain Restriction in the Slow Variable pp. 1-56

Anderson O. Calixto, Bernardo Freitas Paulo da Costa and Glauco Valle

Three Different Views on Barrier Functions in Conic Optimization pp. 1-21

Roland Hildebrand

Fractional Differential Variational-Hemivariational Inequalities pp. 1-19

J. Vanterler da C. Sousa, Gabriela L. Araujo, Zakaria. Faiz and Hicham. Benaissa

Explicit Solution to an Optimal Two-player Switching Game in Infinite Horizon pp. 1-37

El Asri Brahim and Magnoudéwa Paka

Linear Algebra Problems Solved with Damped Dynamical Systems on the Stiefel Manifold pp. 1-32

Mårten Gulliksson, Anna Oleynik, Magnus Ögren and Rohollah Bakhshandeh-Chamazkoti

Cone Ordering in Distributionally Robust Optimization with Set-Valued Probabilities pp. 1-25

Davide La Torre, Franklin Mendivil and Matteo Rocca

Volume 209, issue 1, 2026

Smoothing Proximal Gradient Block-coordinate Algorithms for Group Sparse $$\ell _0$$ ℓ 0 Regularized Nonsmooth Convex Regression Problem pp. 1-39

Xue Li and Wei Bian

Robustness Analysis of an Energy Space Method for Solving a Data Completion Problem in Linear Elasticity pp. 1-39

Saber Amdouni and Anis Samaali

Optimal Dividend, Investment, and Risk Control Strategies in a Financial Market with Dynamic Contagion Jumps pp. 1-39

Zhongyang Sun, Xiuxian Chen and Chuancun Yin

Multi-Objective Optimization and its Connection to Multivariate Risk Measures pp. 1-39

Elisa Mastrogiacomo, Matteo Rocca and Marco Tarsia

Spatial Algorithm for Mixed Integer Generalized Affine Multiplicative Problems pp. 1-36

Hongwei Jiao and Haibing Ma

Augmented Lagrangian Neural Network for Solving Mathematical Programs with Equilibrium Constraints pp. 1-36

Anjali Rawat and Vinay Singh

A Family of Hybrid Acceleration DFPMs and Applications for Pseudo-Monotone Nonlinear Equations with Convex Constraints pp. 1-36

Jinbao Jian, Zhiwen Ren, Jianghua Yin and Xianzhen Jiang

Convergence Properties of Gradient-Based Methods for Minimax Problems with Nonlinear Constraints pp. 1-28

Qingying Hu, Bo Wang and Mengwei Xu

A Note on the Second-Order Convergence of Proximal ADMM for Non-Convex Optimization pp. 1-17

Jingyu Gao and Xiurui Geng

Geometric-Entropic Optimization: Integrating Optimal Transport with Riemannian Gradient Methods for Neural Network Training pp. 1-12

Massimiliano Ferrara

A Generalized Canonical Metric for Optimization on the Indefinite Stiefel Manifold pp. 1-24

Dinh Van Tiep, Duong Thi Viet An, Nguyen Thi Ngoc Oanh and Nguyen Thanh Son

Complexity Results and Active-Set Identification of a Derivative-Free Method for Bound-Constrained Problems pp. 1-31

Andrea Brilli, Andrea Cristofari, Giampaolo Liuzzi and Stefano Lucidi

A Novel Proximal-Based Algorithm for Mixed Set-Valued Quasi-Variational Inequalities pp. 1-31

Xuan Thanh Le and Tran Van Thang

Existence of Pullback Attractors for a Class of Differential Quasi-Variational-Hemivariational Inequalities pp. 1-47

Shengda Zeng, Jinsheng Du and Stanisław Migórski

Characterization of Approximate Efficient Solutions of Nonconvex Vector Optimization Problems pp. 1-23

Wen-Bin Wei, Jian-Wen Peng, Elisabeth Köbis and Jen-Chih Yao

Hartman–Stampacchia Theorems, Gale–Nikaidô–Debreu Lemma, and Brouwer and Kakutani Fixed-Point Theorems pp. 1-22

Pascal Gourdel, Cuong Le Van, Ngoc-Sang Pham and Cuong Tran Viet

Proper Subdifferential of Set-Valued Maps and its Applications in Linear Spaces pp. 1-27

Zhiang Zhou, Zhongcheng Deng, Caiping Liu and Kequan Zhao

Mean-Field Team with Nested Model Uncertainty: A Stackelberg-Type Robust Analysis pp. 1-27

Xinwei Feng, Jianhui Huang and Yunxiao Jia

The Stochastic Ravine Accelerated Gradient Method with General Extrapolation Coefficients pp. 1-51

Hedy Attouch, Jalal Fadili and Vyacheslav Kungurtsev

A New Constant-Rank-Type Condition Related to MFCQ and Local Error Bounds pp. 1-26

Roberto Andreani, Mariana da Rosa and Leonardo D. Secchin

Self-dual Approximations to Convex Bolza Problems pp. 1-26

Cristopher Hermosilla, Ernesto Treumún and Peter Wolenski

Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation pp. 1-38

Aleksandr Beznosikov, Georgiy Kormakov, Alexander Grigorievskiy, Mikhail Rudakov, Ruslan Nazykov, Alexander Rogozin, Anton Vakhrushev, Andrey Savchenko, Martin Takáč and Alexander Gasnikov

Reconstruction of Structural Topology Optimization Mapping: A Novel Two-Stage Mapping Modeling and Solution Approach pp. 1-25

Xi-Rong Peng and Yun-Kang Sui

Completely mixed linear games and irreducibility concepts for Z-transformations over self-dual cones pp. 1-25

M. Seetharama Gowda

Variable Smoothing Alternating Proximal Gradient Algorithm for Coupled Composite Optimization pp. 1-25

Xian-Jun Long, Kang Zeng, Gao-Xi Li, Minh N. Dao and Zai-Yun Peng

The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis and Numerical Approximation pp. 1-25

Luca Saluzzi

A Projected Inexact Levenberg-Marquardt Method for the Completely Positive Matrix Factorization pp. 1-37

Roger Behling, Douglas Gonçalves, Hugo Lara and Harry Oviedo

Toward Tractable Conditions for Lower Semicontinuity of Set-Valued Maps: Concepts and Applications pp. 1-20

Didier Aussel, Orestes Bueno, Carlos Calderón and John Cotrina

Sparse Optimization of Cross-Power Spectra in Linear Inverse Models from Brain Connectivity pp. 1-20

Laura Carini, Isabella Furci and Sara Sommariva

Levitin-Polyak Well-Posedness and Stability in Multiobjective Interval-Valued Optimization Problems with Applications pp. 1-20

Chuang-Liang Zhang

Local Near-Quadratic Convergence of Riemannian Interior Point Methods pp. 1-34

Mitsuaki Obara, Takayuki Okuno and Akiko Takeda

A Network Model for Urban Planning pp. 1-34

Fabio Camilli, Adriano Festa and Luciano Marzufero

Golden Ratio Algorithm with Inertia for Non-Lipschitz Variational Inequalities pp. 1-34

Vahid Darvish, Godwin Chidi Ugwunnadi, Aniefiok Udomene and Habib ur Rehman

Distributed Nonconvex Optimization with Exponential Convergence Rate via Hybrid Systems Methods pp. 1-34

Katherine R. Hendrickson, Dawn M. Hustig-Schultz, Matthew T. Hale and Ricardo G. Sanfelice