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ORCIDSIAM Journal on Optimization, Volume 35
Volume 35, Number 1, 2025
- Welington de Oliveira:
Derivative-Free Approaches for Chance-Constrained Problems with Right-Hand Side Uncertainty. 1-27 - Mikhail V. Solodov:
Convergence Properties of Proximal (Sub)gradient Methods without Convexity or Smoothness of Any of the Functions. 28-41 - Johannes Milz
:
Consistency of Sample-Based Stationary Points for Infinite-Dimensional Stochastic Optimization. 42-61 - Wenqing Ouyang, Yuncheng Liu, Ting Kei Pong, Hao Wang:
Kurdyka-Łojasiewicz Exponent via Hadamard Parametrization. 62-91 - Thai Doan Chuong, Cao Thanh Tinh:
Stability Properties for Parametric Linear Programs under Data Ambiguities. 92-115 - Yan Li, Guanghui Lan:
Policy Mirror Descent Inherently Explores Action Space. 116-156 - Damek Davis, Dmitriy Drusvyatskiy, Zhan Shi:
Stochastic Optimization Over Proximally Smooth Sets. 157-179 - Taeho Yoon, Ernest K. Ryu:
Accelerated Minimax Algorithms Flock Together. 180-209 - Kananart Kuwaranancharoen, Shreyas Sundaram:
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms. 210-239 - Albert S. Berahas, Miaolan Xie, Baoyu Zhou:
A Sequential Quadratic Programming Method With High-Probability Complexity Bounds for Nonlinear Equality-Constrained Stochastic Optimization. 240-269 - Jongmin Lee, Soheun Yi, Ernest K. Ryu:
Convergence Analyses of Davis-Yin Splitting via Scaled Relative Graphs. 270-301 - Xiaojun Chen, Yifan He, Zaikun Zhang:
Tight Error Bounds for the Sign-Constrained Stiefel Manifold. 302-329 - Andreas Löhne:
A Solution Method for Arbitrary Polyhedral Convex Set Optimization Problems. 330-346 - Zev Woodstock, Sebastian Pokutta:
Splitting the Conditional Gradient Algorithm. 347-368 - Sepideh Samadi, Farzad Yousefian:
Improved Guarantees for Optimal Nash Equilibrium Seeking and Bilevel Variational Inequalities. 369-399 - Vera Roshchina, Levent Tunçel:
Everything Is Possible: Constructing Spectrahedra with Prescribed Facial Dimensions. 400-418 - Arvind U. Raghunathan, Jeffrey T. Linderoth:
Stability Analysis of Discrete-Time Linear Complementarity Systems. 419-444 - Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso:
Addressing Hierarchical Jointly Convex Generalized Nash Equilibrium Problems with Nonsmooth Payoffs. 445-475 - Marius Roland, Alexandre Forel, Thibaut Vidal:
Adaptive Partitioning for Chance-Constrained Problems with Finite Support. 476-505 - Geunyeong Byeon, Kaiwen Fang, Kibaek Kim:
Two-Stage Distributionally Robust Conic Linear Programming over 1-Wasserstein Balls. 506-536 - Paul Dobson, Jesús María Sanz-Serna, Konstantinos C. Zygalakis:
On the Connections between Optimization Algorithms, Lyapunov Functions, and Differential Equations: Theory and Insights. 537-566 - Lei Huang:
On the Complexity of Matrix Putinar's Positivstellensätz. 567-591
Volume 35, Number 2, 2025
- Lei Huang, Shucheng Kang, Jie Wang, Heng Yang:
Sparse Polynomial Optimization with Unbounded Sets. 593-621 - Lindon Roberts:
Model Construction for Convex-Constrained Derivative-Free Optimization. 622-650 - Radu-Alexandru Dragomir, Yurii E. Nesterov:
Convex Quartic Problems: Homogenized Gradient Method and Preconditioning. 651-677 - Pham Duy Khanh, V. V. H. Khoa, Boris S. Mordukhovich, Vo Thanh Phat:
Second-Order Subdifferential Optimality Conditions in Nonsmooth Optimization. 678-711 - Liang Chen, Ruoning Chen, Defeng Sun, Junyuan Zhu:
Aubin Property and Strong Regularity Are Equivalent for Nonlinear Second-Order Cone Programming. 712-738 - Liang Xu, Chao Zhang, Zhou Xu, Daniel Zhuoyu Long:
A Nonparametric Robust Optimization Approach for Chance-Constrained Knapsack Problem. 739-766 - Didier Aussel, Massimiliano Giuli, Monica Milasi, Domenico Scopelliti:
A Variational Approach to Weakly Continuous Relations in Banach Spaces. 767-788 - Yuan Tao, Huifu Xu:
Generalized Bayesian Nash Equilibrium with Continuous Type and Action Spaces. 789-817 - Malek Abbasi, Sorin-Mihai Grad, Michel A. Théra:
Beyond the Fermat Optimality Rules. 818-841 - Hanbaek Lyu, Yuchen Li:
Block Majorization-Minimization with Diminishing Radius for Constrained Nonsmooth Nonconvex Optimization. 842-871 - Edward Duc Hien Nguyen, Xin Jiang, Bicheng Ying, César A. Uribe:
On Graphs with Finite-Time Consensus and Their Use in Gradient Tracking. 872-898 - Liding Xu, Claudia D'Ambrosio, Leo Liberti, Sonia Haddad-Vanier:
Cutting Planes for Signomial Programming. 899-926 - Tran Thai An Nghia:
Geometric Characterizations of Lipschitz Stability for Convex Optimization Problems. 927-958 - Ruyu Liu, Shaohua Pan, Yitian Qian:
An Inexact \({q}\)-Order Regularized Proximal Newton Method for Nonconvex Composite Optimization. 959-988 - Didier Henrion, Alessandro Rudi:
Solving Moment and Polynomial Optimization Problems on Sobolev Spaces. 989-1003 - Guillaume Olikier, Irène Waldspurger:
Projected Gradient Descent Accumulates at Bouligand Stationary Points. 1004-1029 - Frank E. Curtis, Vyacheslav Kungurtsev, Daniel P. Robinson, Qi Wang:
A Stochastic-Gradient-Based Interior-Point Algorithm for Solving Smooth Bound-Constrained Optimization Problems. 1030-1059 - Johannes Müller, Semih Cayci, Guido Montúfar:
Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients. 1060-1088 - Yitian Qian, Ting Tao, Shaohua Pan, Houduo Qi:
Convergence of ZH-Type Nonmonotone Descent Method for Kurdyka-Łojasiewicz Optimization Problems. 1089-1109 - Pengcheng Xie, Ya-xiang Yuan:
A Derivative-Free Method Using a New Underdetermined Quadratic Interpolation Model. 1110-1133 - Brendan Keith, Dohyun Kim, Boyan S. Lazarov, Thomas M. Surowiec:
Analysis of the SiMPL Method for Density-Based Topology Optimization. 1134-1164 - Defeng Sun, Yancheng Yuan, Guojun Zhang, Xinyuan Zhao:
Accelerating Preconditioned ADMM via Degenerate Proximal Point Mappings. 1165-1193 - Di Zhang, Suvrajeet Sen:
The Stochastic Conjugate Subgradient Algorithm for Kernel Support Vector Machines. 1194-1215 - Wim van Ackooij, Pedro Pérez-Aros, Claudia Soto:
Differentiability of Probability Functions Involving Star-Shaped Valued Set-Valued Maps. 1216-1245 - Daria Shaydurova, Volker Kaibel, Sebastian Sager:
Refined TSSOS. 1246-1273 - Wei Ouyang, Jane J. Ye, Binbin Zhang:
New Second-Order Optimality Conditions for Directional Optimality of a General Set-Constrained Optimization Problem. 1274-1299 - Zhichao Jia, Benjamin Grimmer:
First-Order Methods for Nonsmooth Nonconvex Functional Constrained Optimization with or without Slater Points. 1300-1329 - Gen Li, Yanxi Chen, Yu Huang, Yuejie Chi, H. Vincent Poor, Yuxin Chen:
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods. 1330-1363 - Hoa T. Bui, Ryan C. Loxton, Qun Lin:
On Cutting Plane Algorithms for Nonlinear Binary Optimization. 1364-1392 - Ming Lei, Ting Kei Pong, Shuqin Sun, Man-Chung Yue:
Subdifferentially Polynomially Bounded Functions and Gaussian Smoothing-Based Zeroth-Order Optimization. 1393-1418 - Alberto González-Sanz, Marcel Nutz, Andrés Riveros Valdevenito:
Monotonicity in Quadratically Regularized Linear Programs. 1419-1437
Volume 35, Number 3, 2025
- Haibo Li:
Projected Newton Method for Large-Scale Bayesian Linear Inverse Problems. 1439-1468 - Kevin Huang, Shuzhong Zhang:
An Approximation-Based Regularized Extra-Gradient Method for Monotone Variational Inequalities. 1469-1497 - Andreas Klingler, Tim Netzer:
Homotopy Methods for Convex Optimization. 1498-1523 - Heyuan Liu, Paul Grigas:
New Methods for Parametric Optimization via Differential Equations. 1524-1550 - Juyoung Jeong, David Sossa:
Commutation Principles for Nonsmooth Variational Problems on Euclidean Jordan Algebras. 1551-1569 - Liyuan Liang, Xinmeng Huang, Ran Xin, Kun Yuan:
Understanding the Influence of Digraphs on Decentralized Optimization: Effective Metrics, Lower Bound, and Optimal Algorithm. 1570-1600 - Vladimir Kolmogorov, Simone Naldi, Jeferson Zapata:
Certifying Solutions of Degenerate Semidefinite Programs. 1630-1654
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