arXiv math.OC Optimization and Control
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Reposted by arXiv math.OC Optimization and Control
Pietro Fr\'e: Axial Symmetric Navier Stokes Equations and the Beltrami /anti Beltrami spectrum in view of Physics Informed Neural Networks https://arxiv.org/abs/2512.08846 https://arxiv.org/pdf/2512.08846 https://arxiv.org/html/2512.08846
December 10, 2025 at 6:47 AM
Pietro Fr\'e: Axial Symmetric Navier Stokes Equations and the Beltrami /anti Beltrami spectrum in view of Physics Informed Neural Networks https://arxiv.org/abs/2512.08846 https://arxiv.org/pdf/2512.08846 https://arxiv.org/html/2512.08846
Reposted by arXiv math.OC Optimization and Control
Dylan Possama\"i, Chiara Rossato: Variance strikes back: sub-game--perfect Nash equilibria in time-inconsistent $N$-player games, and their mean-field sequel https://arxiv.org/abs/2512.08745 https://arxiv.org/pdf/2512.08745 https://arxiv.org/html/2512.08745
December 10, 2025 at 6:40 AM
Dylan Possama\"i, Chiara Rossato: Variance strikes back: sub-game--perfect Nash equilibria in time-inconsistent $N$-player games, and their mean-field sequel https://arxiv.org/abs/2512.08745 https://arxiv.org/pdf/2512.08745 https://arxiv.org/html/2512.08745
Reposted by arXiv math.OC Optimization and Control
Jannik Graebner, Ryne Beeson: Gradient-Informed Monte Carlo Fine-Tuning of Diffusion Models for Low-Thrust Trajectory Design https://arxiv.org/abs/2512.08705 https://arxiv.org/pdf/2512.08705 https://arxiv.org/html/2512.08705
December 10, 2025 at 6:36 AM
Jannik Graebner, Ryne Beeson: Gradient-Informed Monte Carlo Fine-Tuning of Diffusion Models for Low-Thrust Trajectory Design https://arxiv.org/abs/2512.08705 https://arxiv.org/pdf/2512.08705 https://arxiv.org/html/2512.08705
Reposted by arXiv math.OC Optimization and Control
Orit Davidovich, Shimrit Shtern, Segev Wasserkrug, Nimrod Megiddo: Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis https://arxiv.org/abs/2512.08601 https://arxiv.org/pdf/2512.08601 https://arxiv.org/html/2512.08601
December 10, 2025 at 6:53 AM
Orit Davidovich, Shimrit Shtern, Segev Wasserkrug, Nimrod Megiddo: Heuristics for Combinatorial Optimization via Value-based Reinforcement Learning: A Unified Framework and Analysis https://arxiv.org/abs/2512.08601 https://arxiv.org/pdf/2512.08601 https://arxiv.org/html/2512.08601
Reposted by arXiv math.OC Optimization and Control
Andreas Hauptmann, Ozan \"Oktem: Learned iterative networks: An operator learning perspective https://arxiv.org/abs/2512.08444 https://arxiv.org/pdf/2512.08444 https://arxiv.org/html/2512.08444
December 10, 2025 at 6:35 AM
Andreas Hauptmann, Ozan \"Oktem: Learned iterative networks: An operator learning perspective https://arxiv.org/abs/2512.08444 https://arxiv.org/pdf/2512.08444 https://arxiv.org/html/2512.08444
Reposted by arXiv math.OC Optimization and Control
Zhijian Lai, Dong An, Jiang Hu, Zaiwen Wen: A Grover-compatible manifold optimization algorithm for quantum search https://arxiv.org/abs/2512.08432 https://arxiv.org/pdf/2512.08432 https://arxiv.org/html/2512.08432
December 10, 2025 at 6:50 AM
Zhijian Lai, Dong An, Jiang Hu, Zaiwen Wen: A Grover-compatible manifold optimization algorithm for quantum search https://arxiv.org/abs/2512.08432 https://arxiv.org/pdf/2512.08432 https://arxiv.org/html/2512.08432
Reposted by arXiv math.OC Optimization and Control
Ruo Li, Haoyang Liu, Jun Yin: A reconstructed discontinuous approximation for distributed elliptic control problems https://arxiv.org/abs/2512.08353 https://arxiv.org/pdf/2512.08353 https://arxiv.org/html/2512.08353
December 10, 2025 at 6:39 AM
Ruo Li, Haoyang Liu, Jun Yin: A reconstructed discontinuous approximation for distributed elliptic control problems https://arxiv.org/abs/2512.08353 https://arxiv.org/pdf/2512.08353 https://arxiv.org/html/2512.08353
Reposted by arXiv math.OC Optimization and Control
Wang Chen, Ziyan Luo, Shuangyue Wang: Low Rank Support Quaternion Matrix Machine https://arxiv.org/abs/2512.08327 https://arxiv.org/pdf/2512.08327 https://arxiv.org/html/2512.08327
December 10, 2025 at 6:30 AM
Wang Chen, Ziyan Luo, Shuangyue Wang: Low Rank Support Quaternion Matrix Machine https://arxiv.org/abs/2512.08327 https://arxiv.org/pdf/2512.08327 https://arxiv.org/html/2512.08327
Reposted by arXiv math.OC Optimization and Control
Jared Miller, Petros Karamanakos, Tobias Geyer: Bounding the Minimal Current Harmonic Distortion in Optimal Modulation of Single-Phase Power Converters https://arxiv.org/abs/2512.08201 https://arxiv.org/pdf/2512.08201 https://arxiv.org/html/2512.08201
December 10, 2025 at 6:36 AM
Jared Miller, Petros Karamanakos, Tobias Geyer: Bounding the Minimal Current Harmonic Distortion in Optimal Modulation of Single-Phase Power Converters https://arxiv.org/abs/2512.08201 https://arxiv.org/pdf/2512.08201 https://arxiv.org/html/2512.08201
Reposted by arXiv math.OC Optimization and Control
Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu: Worst-case generation via minimax optimization in Wasserstein space https://arxiv.org/abs/2512.08176 https://arxiv.org/pdf/2512.08176 https://arxiv.org/html/2512.08176
December 10, 2025 at 6:53 AM
Xiuyuan Cheng, Yao Xie, Linglingzhi Zhu, Yunqin Zhu: Worst-case generation via minimax optimization in Wasserstein space https://arxiv.org/abs/2512.08176 https://arxiv.org/pdf/2512.08176 https://arxiv.org/html/2512.08176
Reposted by arXiv math.OC Optimization and Control
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet: Robust equilibria in continuous games: From strategic to dynamic robustness https://arxiv.org/abs/2512.08138 https://arxiv.org/pdf/2512.08138 https://arxiv.org/html/2512.08138
December 10, 2025 at 6:31 AM
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet: Robust equilibria in continuous games: From strategic to dynamic robustness https://arxiv.org/abs/2512.08138 https://arxiv.org/pdf/2512.08138 https://arxiv.org/html/2512.08138
Reposted by arXiv math.OC Optimization and Control
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet: Multi-agent learning under uncertainty: Recurrence vs. concentration https://arxiv.org/abs/2512.08132 https://arxiv.org/pdf/2512.08132 https://arxiv.org/html/2512.08132
December 10, 2025 at 6:31 AM
Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet: Multi-agent learning under uncertainty: Recurrence vs. concentration https://arxiv.org/abs/2512.08132 https://arxiv.org/pdf/2512.08132 https://arxiv.org/html/2512.08132
Reposted by arXiv math.OC Optimization and Control
Robert Lefringhausen, Theodor Springer, Sandra Hirche: Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control https://arxiv.org/abs/2512.08013 https://arxiv.org/pdf/2512.08013 https://arxiv.org/html/2512.08013
December 10, 2025 at 6:36 AM
Robert Lefringhausen, Theodor Springer, Sandra Hirche: Learning Dynamics from Infrequent Output Measurements for Uncertainty-Aware Optimal Control https://arxiv.org/abs/2512.08013 https://arxiv.org/pdf/2512.08013 https://arxiv.org/html/2512.08013
Salloum, Hildebrand, Nguyen, Pirau, Al Badr, Alkousa, Gasnikov: Speeding up the Goemans-Williamson randomized procedure by difference-of-convex optimization https://arxiv.org/abs/2512.08852 https://arxiv.org/pdf/2512.08852 https://arxiv.org/html/2512.08852
December 10, 2025 at 6:40 AM
Salloum, Hildebrand, Nguyen, Pirau, Al Badr, Alkousa, Gasnikov: Speeding up the Goemans-Williamson randomized procedure by difference-of-convex optimization https://arxiv.org/abs/2512.08852 https://arxiv.org/pdf/2512.08852 https://arxiv.org/html/2512.08852
Aleksandr Shestakov, Nail Bashirov, Andrei Semenov, Alexander Gasnikov, Martin Tak\'a\v{c}, Aleksandr Beznosikov, Dmitry Kamzolov: Adaptive Regularized Newton Method with Inexact Hessian https://arxiv.org/abs/2512.08775 https://arxiv.org/pdf/2512.08775 https://arxiv.org/html/2512.08775
December 10, 2025 at 6:40 AM
Aleksandr Shestakov, Nail Bashirov, Andrei Semenov, Alexander Gasnikov, Martin Tak\'a\v{c}, Aleksandr Beznosikov, Dmitry Kamzolov: Adaptive Regularized Newton Method with Inexact Hessian https://arxiv.org/abs/2512.08775 https://arxiv.org/pdf/2512.08775 https://arxiv.org/html/2512.08775
Stuart M. Harwood, Dimitri J. Papageorgiou: Computing normalized Nash equilibria for generalized Nash games with nonconvex players https://arxiv.org/abs/2512.08770 https://arxiv.org/pdf/2512.08770 https://arxiv.org/html/2512.08770
December 10, 2025 at 6:40 AM
Stuart M. Harwood, Dimitri J. Papageorgiou: Computing normalized Nash equilibria for generalized Nash games with nonconvex players https://arxiv.org/abs/2512.08770 https://arxiv.org/pdf/2512.08770 https://arxiv.org/html/2512.08770
Ujjwal Pratap, Steffen Hofmann: Saturation-based robustly optimal hierarchical operation control of microgrids https://arxiv.org/abs/2512.08757 https://arxiv.org/pdf/2512.08757 https://arxiv.org/html/2512.08757
December 10, 2025 at 6:40 AM
Ujjwal Pratap, Steffen Hofmann: Saturation-based robustly optimal hierarchical operation control of microgrids https://arxiv.org/abs/2512.08757 https://arxiv.org/pdf/2512.08757 https://arxiv.org/html/2512.08757
Hannah Bakker, Gianfranco Guastaroba, Stefan Nickel, M. Grazia Speranza: Enhancing Kernel Search with Pattern Recognition: the Single-Source Capacitated Facility Location Problem https://arxiv.org/abs/2512.08576 https://arxiv.org/pdf/2512.08576 https://arxiv.org/html/2512.08576
December 10, 2025 at 6:40 AM
Hannah Bakker, Gianfranco Guastaroba, Stefan Nickel, M. Grazia Speranza: Enhancing Kernel Search with Pattern Recognition: the Single-Source Capacitated Facility Location Problem https://arxiv.org/abs/2512.08576 https://arxiv.org/pdf/2512.08576 https://arxiv.org/html/2512.08576
Maximilian Pierer von Esch, Andreas V\"olz, Knut Graichen: An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control https://arxiv.org/abs/2512.08446 https://arxiv.org/pdf/2512.08446 https://arxiv.org/html/2512.08446
December 10, 2025 at 6:40 AM
Maximilian Pierer von Esch, Andreas V\"olz, Knut Graichen: An Overview of Sensitivity-Based Distributed Optimization and Model Predictive Control https://arxiv.org/abs/2512.08446 https://arxiv.org/pdf/2512.08446 https://arxiv.org/html/2512.08446
Giuseppe Buttazzo, Juan Casado-D\'iaz, Faustino Maestre: Optimal coefficients for elliptic PDEs https://arxiv.org/abs/2512.08431 https://arxiv.org/pdf/2512.08431 https://arxiv.org/html/2512.08431
December 10, 2025 at 6:40 AM
Giuseppe Buttazzo, Juan Casado-D\'iaz, Faustino Maestre: Optimal coefficients for elliptic PDEs https://arxiv.org/abs/2512.08431 https://arxiv.org/pdf/2512.08431 https://arxiv.org/html/2512.08431
Jean-Philippe Chancelier, Michel de Lara, Fran\c{c}ois Pacaud, Tanguy Lindegaard, Teemu Pennanen, Ari-Pekka Perkki\"o: Optimal Operation and Valuation of Electricity Storages in Intraday Markets https://arxiv.org/abs/2512.08422 https://arxiv.org/pdf/2512.08422 https://arxiv.org/html/2512.08422
December 10, 2025 at 6:40 AM
Jean-Philippe Chancelier, Michel de Lara, Fran\c{c}ois Pacaud, Tanguy Lindegaard, Teemu Pennanen, Ari-Pekka Perkki\"o: Optimal Operation and Valuation of Electricity Storages in Intraday Markets https://arxiv.org/abs/2512.08422 https://arxiv.org/pdf/2512.08422 https://arxiv.org/html/2512.08422
Lloren\c{c} Balada Gaggioli, Didier Henrion, Milan Korda: Global optimization of low-rank polynomials https://arxiv.org/abs/2512.08394 https://arxiv.org/pdf/2512.08394 https://arxiv.org/html/2512.08394
December 10, 2025 at 6:39 AM
Lloren\c{c} Balada Gaggioli, Didier Henrion, Milan Korda: Global optimization of low-rank polynomials https://arxiv.org/abs/2512.08394 https://arxiv.org/pdf/2512.08394 https://arxiv.org/html/2512.08394
George Dunn, Elizabeth Stojanovski, Bishnu Lamichhane, Hadi Charkhgard, Ali Eshragh: Strict Elimination of Double Traversals in Outer Subaisles and Two-Block Rectangular Warehouses https://arxiv.org/abs/2512.08235 https://arxiv.org/pdf/2512.08235 https://arxiv.org/html/2512.08235
December 10, 2025 at 6:39 AM
George Dunn, Elizabeth Stojanovski, Bishnu Lamichhane, Hadi Charkhgard, Ali Eshragh: Strict Elimination of Double Traversals in Outer Subaisles and Two-Block Rectangular Warehouses https://arxiv.org/abs/2512.08235 https://arxiv.org/pdf/2512.08235 https://arxiv.org/html/2512.08235
Xiushan Jiang, Dong Wang, Weihai Zhang, Daniel W. C. Ho, Yuanqing Wu: Primal-dual policy learning for mean-field stochastic LQR problem https://arxiv.org/abs/2512.08205 https://arxiv.org/pdf/2512.08205 https://arxiv.org/html/2512.08205
December 10, 2025 at 6:39 AM
Xiushan Jiang, Dong Wang, Weihai Zhang, Daniel W. C. Ho, Yuanqing Wu: Primal-dual policy learning for mean-field stochastic LQR problem https://arxiv.org/abs/2512.08205 https://arxiv.org/pdf/2512.08205 https://arxiv.org/html/2512.08205
Alexander Rogozin, Nhat Trung Nguyen, Hamed Azami Zenuzagh, Alexander Gasnikov: Dual Smoothing for Decentralized Optimization https://arxiv.org/abs/2512.08167 https://arxiv.org/pdf/2512.08167 https://arxiv.org/html/2512.08167
December 10, 2025 at 6:39 AM
Alexander Rogozin, Nhat Trung Nguyen, Hamed Azami Zenuzagh, Alexander Gasnikov: Dual Smoothing for Decentralized Optimization https://arxiv.org/abs/2512.08167 https://arxiv.org/pdf/2512.08167 https://arxiv.org/html/2512.08167