Numerical analysis & scientific computing
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- Latent Twin Operator
- Universal Approximation of Measure-to-Measure Operators by Pushforwards
- Quasi Linear Kernel Attention with Infinite Capacity
- GAC-PINN: Geometry-Adaptive and Constraint-Enhanced Physics-Informed Neural Networks
- Large-Scale Autonomous Discovery of Kissing Number Constructions
- Refined Gauss--Lobatto bounds for odd-order convexity
- A priori error analysis for one-parameter Lagrange and POD reduced order methods
- Addressing Data Engineering Challenges in the Cold-Chain Sector to Reduce its Environmental Impact Through Analytics
- Fully Discrete Active Flux Methods for the Euler Equations: Exploring Different Reconstructions and New Multi-Dimensional Evolution Operators
- The Numerical Onsager-Machlup action functional for Euler discretized SDEs driven by fractional Brownian motion
- A weighted polygonal discontinuous Galerkin method for hierarchically coupled reaction-diffusion systems with cubic interactions
- Spectral analysis of a class of IRK stage preconditioners for linear wave equations
- The paxotopy method for finding isolated roots of a system of nonlinear equations
- Broken Symmetry in BF16 Attention: Why FlashAttention Gradients Blow Up Late in Training
- Immersogeometric fluid-structure interaction modeling of the human mitral valve and transcatheter edge-to-edge repair
- Long-time continuum limits for twisted Schrödinger lattices
- Learning Operators of Geometry with an Interface Autoencoder
- Scale-uniform inverse inequalities for scaled kernel spaces
- On the Approximation of the Unitary Operator Group Associated with a Rotation Matrix and Its Applications to Abstract Hyperbolic Equations
- String kernel representations in elastostatics
- Integral Hilbert spaces and the dynamics of loop quantum cosmos
- Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates
- Nonparametric face-based finite element methods on complex hybrid three-dimensional meshes
- Structure-Adaptive Tree Field Integrators
- Adapting neural operators for mechanics decisions under changing operating conditions