:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Brust, Johannes J., Saunders, Michael A.
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis Machine Learning Mathematical Software 65F55, 68T09, 65Y20
Online Access:	https://arxiv.org/abs/2509.02840
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structured Sketching for Linear Systems
by: Brust, Johannes J, et al.
Published: (2024)

Robust Blockwise Random Pivoting: Fast and Accurate Adaptive Interpolative Decomposition
by: Dong, Yijun, et al.
Published: (2023)

Row-aware Randomized SVD with applications
by: Palitta, Davide, et al.
Published: (2024)

Hybrid hierarchical matrices with adaptive mixed precision storage
by: Khan, Ritesh, et al.
Published: (2026)

Robust, randomized preconditioning for kernel ridge regression
by: Díaz, Mateo, et al.
Published: (2023)

Fast Evaluation of Truncated Neumann Series by Low-Product Radix Kernels
by: Sao, Piyush
Published: (2026)

Empirical sparse regression on quadratic manifolds
by: Schwerdtner, Paul, et al.
Published: (2024)

Linear-Scaling Tensor Train Sketching
by: Cazeaux, Paul, et al.
Published: (2026)

RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks
by: Gattiglio, Guglielmo, et al.
Published: (2024)

Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction
by: Schwerdtner, Paul, et al.
Published: (2024)

Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction
by: Schwerdtner, Paul, et al.
Published: (2024)

Sharp analysis of sketched least squares and randomized low-rank approximation
by: Epperly, Ethan N., et al.
Published: (2026)

Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
by: Zhang, Yifan, et al.
Published: (2025)

Parallel-in-time Multilevel Krylov Methods: A Prototype
by: Erlangga, Yogi A.
Published: (2023)

Mixed precision thin SVD algorithms based on the Gram matrix
by: Carson, Erin, et al.
Published: (2026)

Recursive sparse LU decomposition based on nested dissection and low rank approximations
by: Xuanru, Zhu, et al.
Published: (2024)

Neural Preconditioning via Krylov Subspace Geometry
by: Dimola, Nunzio, et al.
Published: (2025)

A resource-efficient model for deep kernel learning
by: D'Amore, Luisa
Published: (2024)

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
by: Persson, David, et al.
Published: (2025)

Local Solvers for High-Order Patch Smoothers via p-Multigrid
by: Wichrowski, Michał
Published: (2025)

Memory- and compute-optimized geometric multigrid GMGPolar for curvilinear coordinate representations -- Applications to fusion plasma
by: Litz, Julian, et al.
Published: (2025)

A Parareal Algorithm with Low-Rank Coarse Solvers
by: Gander, Martin J., et al.
Published: (2025)

Analysis of Floating-Point Matrix Multiplication Computed via Integer Arithmetic
by: Abdelfattah, Ahmad, et al.
Published: (2025)

Efficient error and variance estimation for randomized matrix computations
by: Epperly, Ethan N., et al.
Published: (2022)

Superfast 1-Norm Estimation
by: Go, Soo, et al.
Published: (2025)

Hybrid Least Squares/Gradient Descent Methods for DeepONets
by: Choi, Jun, et al.
Published: (2025)

The Pseudoinverse of $A=CR$ is $A^+=R^+C^+$ (?)
by: Karpowicz, Michał P., et al.
Published: (2023)

The complexity of accurate floating point computation
by: Demmel, James
Published: (2003)

A second-order dynamical low-rank mass-lumped finite element method for the Allen-Cahn equation
by: Yang, Jun, et al.
Published: (2025)

Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
by: Chen, Yifan, et al.
Published: (2022)

Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)

Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
by: Cortinovis, Alice, et al.
Published: (2024)

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization
by: Hart, Emma, et al.
Published: (2025)

Optimization-Free Diffusion Model -- A Perturbation Theory Approach
by: Khoo, Yuehaw, et al.
Published: (2025)

Fast randomized numerical rank estimation for numerically low-rank matrices
by: Meier, Maike, et al.
Published: (2021)

A hybrid interpolation ACA accelerated method for parabolic boundary integral operators
by: Ambikasaran, Sivaram, et al.
Published: (2024)

Sequential Least-Squares Estimators with Fast Randomized Sketching for Linear Statistical Models
by: Chen, Guan-Yu, et al.
Published: (2025)

A dimension-oblivious domain decomposition method based on space-filling curves
by: Griebel, Michael, et al.
Published: (2021)

An implementation of tensor product patch smoothers on GPU
by: Cui, Cu, et al.
Published: (2024)

Multilevel Interior Penalty Methods on GPUs
by: Cui, Cu, et al.
Published: (2024)