🏛️ The Numerical Analysis Crypt
math.NA: Where Numerical Analysis papers rest without their code.
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Faster Kernel Ridge Regression Using Sketching and Preconditioning
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Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation
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Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm
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A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients
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Phase Retrieval via Randomized Kaczmarz: Theoretical Guarantees
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DeepGreen: Deep Learning of Green's Functions for Nonlinear Boundary Value Problems
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The Spacey Random Walk: a Stochastic Process for Higher-order Data
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Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory
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A Scale Invariant Approach for Sparse Signal Recovery
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A probabilistic model for the numerical solution of initial value problems
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Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
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Compression, inversion, and approximate PCA of dense kernel matrices at near-linear computational complexity
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MeshingNet: A New Mesh Generation Method based on Deep Learning
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Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems
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Deep Theory of Functional Connections: A New Method for Estimating the Solutions of PDEs
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High Dimensional Low Rank plus Sparse Matrix Decomposition
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On generation of node distributions for meshless PDE discretizations
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Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
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Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions
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Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries
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Opinion dynamics over complex networks: kinetic modeling and numerical methods
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A Mathematical Guide to Operator Learning
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