Optimisation & control
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- Quantum-Inspired Hamiltonian Descent for Radiation Therapy Treatment Planning
- Euler discretizations, invariant faces and brackets for lower exponents of positive switched systems
- Consumption and Investment with Multiple Job-Switching Opportunities
- A Telescopic Method with Guaranteed B-Stationarity for Partitioned Cardinality and Complementarity Constraints
- When are dividend barriers optimal? A distributional characterization in renewal risk models
- Agent4FreeFem: A Verification-Guided Framework for Autonomous Topology Optimization
- Unbiased Low-Rank Approximation for Repeated Matrix-Vector Multiplication: Stability and Optimal Sampling
- Maximum principle for discrete-time stochastic recursive games driven by fractional noises
- Forgetting matters: when subspace optimization accelerates without the strong convexity parameter
- ALDER: A Single-Loop Augmented-Lagrangian Damped Extragradient Method for Nonconvex--Concave Minimax Problems with Nonlinear Coupled Constraints
- Log-Driven Semantic Tuning for Mixed Integer Programming Solvers
- Conic Certification of Transformer Attention
- Non-asymptotic analysis of SGLD with discontinuous stochastic gradients: a new route to portfolio CVaR minimization
- A Parallel Adaptive Proximal ADMM for Linearly Constrained Separable Composite Optimization Problems
- Dynamic programming principle for controlled systems driven by fractional Brownian motions and related backward stochastic Riccati equations
- Constraint Qualifications and Regularity Conditions for Nonlinear Constraint Systems
- Some Remarks on the Asymptotic Behavior of Mean Field Games of Controls
- A Note on the NP-Hardness on Quadratic Optimization over Doubly Stochastic Matrices and the Gromov-Wasserstein Problem
- Optimistic Gradient Algorithms with Randomized Coordinate and Variance Reduction Strategies for Composite Inclusions
- Variance-reduced First-order Methods for Finite-sum Function Constrained Convex Optimization
- Porteous Meets Walsh: Counting Critical Points for ℋ2-Norm Model Order Reduction Using Algebraic Geometry Behind Multiparameter Eigenvalue Problems
- Costate Estimation and Covector Mapping for Bernstein Polynomial Direct Methods in Optimal Control
- A Preconditioned Semismooth Newton Method for Box-Constrained Elliptic Optimal Control Problems with Random Coefficients
- ProLand: A New Infeasible Manifold Optimization Method for LoRA Fine-Tuning
- Parameter-Free First-Order Method for Constrained Variational Inequalities