Optimisation & control
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- A Fast and High-Accuracy Finite-Time Sliding-Mode Algorithm for Computing Local Stackelberg Equilibria in Nonlinear Bilevel Games
- Spatiotemporal Response Decay for Near-Optimal Distributed LQR via System Level Synthesis
- Continuity and monotonicity of weighted perimeters of convex bodies
- Randomized Transport Maps for Model-Free Policy-Gradient Mean-Field Control
- Boundary Control of Two-dimensional Point-Vortex Systems
- Stochastic Gradient Descent for Traffic and Pedestrian Models via Neural Networks and Parameter Identification
- A QPTAS for Stochastic Scheduling of Bernoulli Jobs
- Rare Gate Disagreements Can Limit Plasticity: When Gradient Flow Mispredicts Finite-Batch SGD
- Nonlinear differential-algebraic systems with dissipative port-Hamiltonian structure
- Dimension-Adaptive Accuracy Certificates for Convex Optimization
- Inertial parameterized Douglas-Rachford for generalized DC programming problems
- Accelerated Proximal Gradient Method for Non-Strongly Convex Time-Varying Optimization
- Adaptive relaxed CQ algorithm with dynamic stepsizes for the split feasibility problem
- From Geometry to Generalization: Why Row Normalization Can Beat Adam and Muon
- Nonminimizing Attractors of Stochastic Subgradient Methods on Semialgebraic Functions
- Exact Convex Reformulations of Binary Quadratic Programs from Facially Reduced Semidefinite Relaxations
- Consumption and Investment When Welfare Floors Change over Time
- Parameter-Free Zeroth-Order Optimization with Ellipsoidal Sampling
- Robust identification of drive-by sensing ride-hailing market with Points of Interest monitoring under uncertain ride demand
- Efficient Reasoning via Constrained Optimization in Latent Space
- The best approximation tuple: an extension of the Cheney-Goldstein algorithm and results to the multiple sets case
- Overlap-free multi-material topology optimization for minimum compliance in two and three dimensions by level-set-based negative-mapping interpolation
- Sliding Methods for Hölder-Smooth Convex--Concave Minimax Optimization with Bilinear Coupling
- A samplewise backpropagation method for neural networks driven by fractional Brownian motion
- Transfer Learning of Multiobjective Indirect Low-Thrust Trajectories Using Diffusion Models and Markov Chain Monte Carlo