Optimisation & control
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- Proof of Stake economy under centralized exchanges--a mean field model
- Decision-Making in Digital Twins: Optimization, Control, and Learning
- Solution Set Dimensions in Convex Optimization and Primal-Polar Facial Signatures
- Extragradient and Past Extragradient Methods for (L0,L1)-Lipschitz Variational Inequalities
- A Composite Bayesian Risk--Distributionally Robust Optimization Model for Stochastic Programming with Elliptical Distribution Ambiguity
- GpFlash: Maximizing Speed and Minimizing Memory for Gaussian Process Training and Prediction
- Feature Normalization under Finite Training Budgets
- Calibrated α-Barycenters for Multiobjective f-Divergence Optimization
- Venusian Radio Occultation Constellation Design and Reconfiguration Problems: A Benders Decomposition Approach
- A Deterministic $0.401$-Approximation for Non-monotone Submodular Maximization under Matroid Constraints
- On the Stability of Power Systems with AI Data Centers: A Multi-Equilibrium Switched DAE Framework
- Globally Convergent Block Coordinate Descent Algorithms for Semi-Nonnegative Independent Component Analysis
- Preconditioned Latent Variable Proximal Point Method for Optimal Control Problems with Control Constraints
- Scalable Identification of Physics-Based and Neural Dynamics from Partial Measurements
- Towards learning-enhanced solvers for multi-parametric optimization
- Asymptotic Risk of Learning-Rate Schedules for Least-Squares Regression with Discretely Distributed Features
- Equilibria and consensus in discrete-time opinion dynamics with mixed weighted-averaging and weighted-median mechanisms
- Multiplicative Gradient Method for Log-Homogeneous Optimization: A Unified Mirror-Descent Framework
- Some remarks on nonexistence in the Gamow liquid drop model
- On the Complexity of Finding Stationary Points of p-th Order Hölder Smooth Functions in One Dimension
- Well-Posedness and Strong Convergence of Infinite-Dimensional Port-Hamiltonian Primal-Dual Gradient Dynamics
- Optimal Synthesis on the Special Linear Group
- Exploration strategies for Gaussian process bandit optimization with inference regret guarantees
- Regularity of the Price of Anarchy in Routing Games over the Multivariate Demand Space
- On the convexification of a bilinearly constrained set with a common variable