An augmented Lagrangian method for optimization problems with structured geometric constraints X Jia, C Kanzow, P Mehlitz, G Wachsmuth Mathematical Programming 199 (1), 1365-1415, 2023 | 47 | 2023 |
Constrained composite optimization and augmented Lagrangian methods A De Marchi, X Jia, C Kanzow, P Mehlitz Mathematical Programming 201 (1), 863-896, 2023 | 29 | 2023 |
Convergence Analysis of the Proximal Gradient Method in the Presence of the Kurdyka–Łojasiewicz Property Without Global Lipschitz Assumptions X Jia, C Kanzow, P Mehlitz SIAM Journal on Optimization 33 (4), 3038-3056, 2023 | 18 | 2023 |
Constrained structured optimization and augmented Lagrangian proximal methods A De Marchi, X Jia, C Kanzow, P Mehlitz arXiv preprint arXiv:2203.05276 3, 2022 | 5 | 2022 |
Augmented Lagrangian Methods invoking (Proximal) Gradient-type Methods for (Composite) Structured Optimization Problems X Jia Universität Würzburg, 2023 | 1 | 2023 |
An improved hyperplane projection method for generalized Nash equilibrium problems with extrapolation technique X Jia, Z Sun, L Xu Optimization 71 (10), 2819-2839, 2022 | 1 | 2022 |
Advances in Nonmonotone Proximal Gradient Methods merely with Local Lipschitz Assumptions in the Presense of Kurdyka-{\L} ojasiewicz Property: A Study of Average and Max Line … X Jia, K Wang arXiv preprint arXiv:2411.19256, 2024 | | 2024 |
A projection-like method for quasimonotone variational inequalities without Lipschitz continuity X Jia, L Xu Optimization Letters 16 (8), 2387-2403, 2022 | | 2022 |