:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Townsend, Alex, Wang, Chris
Format:	Preprint
Published:	2026
Subjects:	Numerical Analysis Data Structures and Algorithms 65F20, 65F25, 65F55
Online Access:	https://arxiv.org/abs/2604.10215
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Algorithm-agnostic low-rank approximation of operator monotone matrix functions
by: Persson, David, et al.
Published: (2023)

Make the most of what you have: Resource-efficient randomized algorithms for matrix computations
by: Epperly, Ethan N.
Published: (2025)

Faster Linear Algebra Algorithms with Structured Random Matrices
by: Camaño, Chris, et al.
Published: (2025)

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

Quasi-optimal hierarchically semi-separable matrix approximation
by: Amsel, Noah, et al.
Published: (2025)

Does block size matter in randomized block Krylov low-rank approximation?
by: Chen, Tyler, et al.
Published: (2025)

An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems
by: Huang, N., et al.
Published: (2024)

Superfast direct inversion of the nonuniform discrete Fourier transform via hierarchically semi-separable least squares
by: Wilber, Heather, et al.
Published: (2024)

Adaptive randomized pivoting and volume sampling
by: Epperly, Ethan N.
Published: (2025)

Sketched and Truncated Polynomial Krylov Subspace Methods: Matrix Sylvester Equations
by: Palitta, Davide, et al.
Published: (2023)

BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions
by: Yeon, Kingsley, et al.
Published: (2025)

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

Entrywise Approximation for Matrix Inversion and Linear Systems
by: Ghadiri, Mehrdad, et al.
Published: (2025)

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

H2-MG: A multigrid method for hierarchical rank structured matrices
by: Sushnikova, Daria, et al.
Published: (2025)

Stable Iterative Solvers for Ill-conditioned Linear Systems
by: Kalantzis, Vasileios, et al.
Published: (2025)

Deterministic complexity analysis of Hermitian eigenproblems
by: Sobczyk, Aleksandros
Published: (2024)

Invariant subspaces and PCA in nearly matrix multiplication time
by: Sobczyk, Aleksandros, et al.
Published: (2023)

Preconditioning via Randomized Range Deflation (RandRAND)
by: Balabanov, Oleg, et al.
Published: (2025)

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

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

Sketched and truncated polynomial Krylov methods: Evaluation of matrix functions
by: Palitta, Davide, et al.
Published: (2023)

On efficient block Krylov-solvers for $\mathcal H^2$-matrices
by: Christophersen, Sven
Published: (2025)

Lanczos with compression for symmetric matrix Lyapunov equations
by: Casulli, Angelo A., et al.
Published: (2025)

Approximating Sparse Matrices and their Functions using Matrix-vector products
by: Park, Taejun, et al.
Published: (2023)

A stable one-synchronization variant of reorthogonalized block classical Gram--Schmidt
by: Carson, Erin, et al.
Published: (2024)

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

Analysis of Randomized Householder-Cholesky QR Factorization with Multisketching
by: Higgins, Andrew J., et al.
Published: (2023)

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)

Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
by: Hayashi, Koby, et al.
Published: (2024)

Algebraic Multigrid with Overlapping Schwarz Smoothers and Local Spectral Coarse Grids for Least Squares Problems
by: Southworth, Ben S., et al.
Published: (2026)

Structure-preserving Krylov Subspace Approximations for the Matrix Exponential of Hamiltonian Matrices: A Comparative Study
by: Benner, Peter, et al.
Published: (2026)

On Edge Multiscale Space based Hybrid Schwarz Preconditioner for Helmholtz Problems with Large Wavenumbers
by: Fu, Shubin, et al.
Published: (2024)

Quantile-RK and Double Quantile-RK Error Horizon Analysis
by: Battaglia, Emeric, et al.
Published: (2025)

Debiasing Polynomial and Fourier Regression
by: Camaño, Chris, et al.
Published: (2025)

A class of low-rank short recurrences for nonsymmetric linear matrix equations
by: Palitta, Davide, et al.
Published: (2026)

A subspace-conjugate gradient method for linear matrix equations
by: Palitta, Davide, et al.
Published: (2025)

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

Operator learning for hyperbolic partial differential equations
by: Wang, Christopher, et al.
Published: (2023)