Optimisation & control
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- Exact oracle complexity for function-value suboptimality under weighted initial conditions
- Ideal Gårding polynomials
- Augmented Lagrangian Method for Mathematical Programs with Second-Order Cone Complementarity Constraints
- Dynamics of Stochastic Momentum with Sparse Updates in High Dimensions
- Dynamic inverse problems: Online regularisation theory
- Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations
- Securing the Flow: Strategic Storage and Corridor Design for Maritime Energy Security under Chokepoint Disruptions
- Training-Induced Escape from Token Clustering in a Mean-Field Formulation of Transformers
- Singular Aubry--Mather Sets for a Homogeneous Single-Input Control System
- Flux-Based Time Bounds for Harmonically Degenerate Quantum Systems
- Study of the finite element discretization of the iterated quasi-reversibility method The Laplacian data assimilation case
- A Polynomial-Time Algorithm for the Minimal Input/Output Node Cardinality Disturbance Decoupling Problem via Output Feedback
- Hard Instances on Demand
- Distributed Optimization over Simplicial Complexes via Topological Dirac Synchronization
- Deterministic Bounds on Accuracy and Stability of Metric-Space Regression and Classification
- Local Projected Controllability of Nonlocal Continuity Equations
- An improved randomized algorithm for finding sinks of Acyclic Unique Sink Orientations of the binary hypercube
- BOLT: Multi-Bottleneck Bound-Guided Learning for Flexible Job-Shop Scheduling with Time Lags and Resource-Coupled Transport
- Convergence of cyclic steepest descent for quadratics with two distinct eigenvalues
- Asymptotic analysis of an optimal control problem for a phase field tumor growth model with hyperbolic relaxation of the chemical potential
- Counterexamples to R-superlinear convergence of cyclic steepest descent
- PE-MHL: Physics-Encoded Modular Hybrid Layers for Scalable Learning of Complex Systems
- Koopman operator learning for predictive control via Khatri-Rao kernel regression
- Stochastic Optimization and Data Science
- Near-Optimal Parallel M-Matrix Scaling