Cover Image

Twice is enough for dangerous eigenvalues

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Horning, Andrew, Nakatsukasa, Yuji
Format:	Preprint
Published:	2020
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FEAST for differential eigenvalue problems
by: Horning, Andrew, et al.
Published: (2019)

Eigen-componentwise convergence of SGD on quadratic programming
by: Chen, Lehan, et al.
Published: (2024)

Efficient Function Approximation Under Heteroskedastic Noise
by: Nakatsukasa, Yuji, et al.
Published: (2025)

Finding accurate eigenvalues and eigenvectors of positive semi-definite matrices given a subspace
by: Nakatsukasa, Yuji, et al.
Published: (2026)

Matrix Perturbation Theory in the Tangent Space of Isospectral Matrices
by: Hrobat, Francesco, et al.
Published: (2026)

Instability of the Sherman-Morrison formula and stabilization by iterative refinement
by: Hashemi, Behnam, et al.
Published: (2025)

Computing the Zeros of a Holomorphic Function Using Quadrature-Based Subdivision and Rational Approximation of the Logarithmic Derivative
by: Bowhay, Jake, et al.
Published: (2025)

Polynomial approximation of noisy functions
by: Matsuda, Takeru, et al.
Published: (2024)

Adaptive LSQR Preconditioning from One Small Sketch
by: Huh, Jung Eun, et al.
Published: (2026)

Sharp error bounds for approximate eigenvalues and singular values from subspace methods
by: Haas, Irina-Beatrice, et al.
Published: (2025)

ContHutch++: Stochastic trace estimation for implicit integral operators
by: Zvonek, Jennifer, et al.
Published: (2023)

SubApSnap: Solving parameter-dependent linear systems with a snapshot and subsampling
by: Jones, Eleanor, et al.
Published: (2025)

Applications of AAA rational approximation
by: Nakatsukasa, Yuji, et al.
Published: (2025)

Quadrature formulas from rational approximations
by: Horning, Andrew, et al.
Published: (2025)

Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi
by: Zhu, Wenqi, et al.
Published: (2023)

Accuracy and Stability of CUR decompositions with Oversampling
by: Park, Taejun, et al.
Published: (2024)

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

Low-rank approximation of parameter-dependent matrices via CUR decomposition
by: Park, Taejun, et al.
Published: (2024)

Computing Generalized Eigenfunctions in Rigged Hilbert Spaces
by: Colbrook, Matthew J., et al.
Published: (2024)

A Sherman--Morrison--Woodbury approach to solving least squares problems with low-rank updates
by: Güttel, Stefan, et al.
Published: (2024)

Towards Universal Convergence of Backward Error in Linear System Solvers
by: Dereziński, Michał, et al.
Published: (2026)

Stable algorithms for general linear systems by preconditioning the normal equations
by: Epperly, Ethan N., et al.
Published: (2025)

Numerical Stability of the Nyström Method
by: Bucci, Alberto, et al.
Published: (2025)

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

Randomized flexible Krylov methods for $\ell_p$ regularization
by: Landman, Malena Sabaté, et al.
Published: (2025)

Fast, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
by: Epperly, Ethan N., et al.
Published: (2026)

An Introductory Guide to Koopman Learning
by: Colbrook, Matthew J., et al.
Published: (2025)

Rigged Dynamic Mode Decomposition: Data-Driven Generalized Eigenfunction Decompositions for Koopman Operators
by: Colbrook, Matthew J., et al.
Published: (2024)

Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations
by: Dong, Yijun, et al.
Published: (2022)

Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces
by: Lazzarino, Lorenzo, et al.
Published: (2024)

A minimax method for the spectral fractional Laplacian and related evolution problems
by: Carrillo, José A., et al.
Published: (2025)

Fast Rank Adaptive CUR via a Recycled Small Sketch
by: Pritchard, Nathaniel, et al.
Published: (2025)

An orthogonality-preserving approach for eigenvalue problems
by: Chu, Tianyang, et al.
Published: (2025)

Block subspace expansions for eigenvalues and eigenvectors approximation
by: Zuccalli, Francisco Arrieta, et al.
Published: (2024)

On trajectories of complex-valued interior transmission eigenvalues
by: Pieronek, Lukas, et al.
Published: (2022)

On uncertainty quantification of eigenvalues and eigenspaces with higher multiplicity
by: Dölz, Jürgen, et al.
Published: (2022)

Nearest matrix with multiple eigenvalues by Riemannian optimization
by: Noferini, Vanni, et al.
Published: (2025)

An extended Lagrange FEM for the Maxwell eigenvalue problem
by: Han, Jiayu
Published: (2026)

Theory and numerics of subspace approximation of eigenvalue problems
by: Cheung, Siu Wun, et al.
Published: (2024)

Applying acceleration to Krylov subspace eigenvalue solvers
by: Baker, Michelle, et al.
Published: (2026)