Optimisation & control
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- Retraction-Free Nonsmooth Optimization on the Stiefel Manifold: Subgradient and Proximal Landing Methods
- Soft-Update MSA for Nonconvex Stochastic Optimal Control: Theory and Algorithms
- Dissipation Bounds and Hardness in Globally Asymptotically Stable Quadratic Systems
- Optimal Two-Mode Switching with Setup Costs for a Controlled Ornstein--Uhlenbeck Process
- Global Extendability of Local Atoms in Sparse Moment Relaxations
- Sum of Squares and Non Sum of Squares Regimes for the Toeplitz Bottcher Wenzel Form
- The Maximal Robust Positively Invariant Set for Linear Difference Inclusions
- Optimal Network Dependence in Distributed Stochastic Optimization via Tree Routing
- Optimal Deterministic First-Order Oracle Complexity for Nonconvex-Concave Minimax Optimization
- When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? A Simple Perspective
- Risk-Aware Unit Commitment in District Heating Networks: Chance-Constrained and CVaR Optimization Under Demand Uncertainty
- LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
- Online Feedback Optimization for Constrained Stochastic Problems with Decision-Dependent Distributions
- Minimality and stability of the ball for the charge-qubit energy
- Rapid stabilization for Stokes and Navier-Stokes systems with localized disturbance
- Exact controllability and rapid stabilization of linear difference delay equations and one-dimensional hyperbolic systems
- A stochastic mirror descent algorithm for mean-field control problems
- Benign cubic and quartic forms on the sphere
- LLM2Cert: LLM Synthesis of Certificates with SMT/Lean Verification
- A Transformer-based Approach for Real-time Multi-agent Path Planning with Varying Initial/Final Conditions
- Dynamic Active Fleet Sizing of Heterogeneous UAV Relays for Post-Disaster Communication Networks
- Continuous-time analysis and algorithms for linear and convex quadratic programs via exactly solvable differential inclusions
- Ergodic Linear-Quadratic Optimal Control with Stochastic Coefficients
- Geodesically Convex Optimization in Hyperbolic Space: Matching Lower Bounds
- Reinforcement Learning and Operational Research: A Review of Methodological Integration and Research Directions