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- The point-cross dimension
- Rank-Two Drinfeld Modules over Elliptic Coordinate Rings
- Singular stationary Navier-Stokes flows: examples and stability
- Dual Gauss--Legendre polynomials
- Domination in Johnson graphs J(n, 3) for odd n
- Branch and Price for Railway Crew Scheduling: Benchmark Instances and Computational Study
- A novel class of high-order uniformly accurate exponential integrators with local linear extension for the charged-particle dynamics under strong magnetic field
- Long Time Well-posedness for the Benjamin-Ono Equation with Quasi-Periodic Initial Data
- Mixed-Precision GPU Acceleration for Large-Scale Minimum Enclosing Ball Problems
- Reachability-Augmented Dual Dynamic Programming for Optimal Path Parameterization
- One Model, Two Roles: Emergent Specialization in a Shared Recurrent Transformer
- Approximate Dynamic Programming for Real-time Assignment of Extraboard Transit Operators
- A Provably Convergent and Practical Algorithm for Gromov--Wasserstein Optimal Transport
- Suppression of the Benjamin-Feir instability by constant vorticity
- Hydrodynamic and Dynamical Phi^4 Limits of Ising-Kac Models with Diffusion-Based Interactions on the Sierpiński Gasket
- A First-Order Phase Transition in Spin-Imbalanced BCS Theory of Superconductivity
- Adaptive Local Measurements For Quantum Learning Can Exponentially Outperform Nonadaptive Global Measurements
- A Note on the Smoluchowski Coagulation-Fragmentation Equation with Fractional Laplacian
- Generalized Symmetries of QED4 on Non-Spin Manifolds
- Universality in randomly connected neural networks: old and new on a conjecture of Geman and Hwang
- Early warning of critical transitions: Distinguishing supercritical and subcritical bifurcations from noisy observations
- Dual Area-Volume-of-Fluid (DAVOF): co-advecting volume and face-area fractions for a closed-form, cell-local interface normal and position on unstructured meshes
- The geometry of Floquet states
- From Entanglement Bootstrap to DHR Theory
- Regional accuracy of physics-informed neural networks (PINNs) for recirculation in a deep lid-driven cavity