Cover Image

Generalized Pseudospectral Shattering and Inverse-Free Matrix Pencil Diagonalization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Demmel, James, Dumitriu, Ioana, Schneider, Ryan
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis 15A22, 65F15
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structured Divide-and-Conquer for the Definite Generalized Eigenvalue Problem
by: Demmel, James, et al.
Published: (2025)

Fast and Inverse-Free Algorithms for Deflating Subspaces
by: Demmel, James, et al.
Published: (2023)

Inner Product Free Krylov Methods for Large-Scale Inverse Problems
by: Brown, Ariana N., et al.
Published: (2024)

On properties and numerical computation of critical points of eigencurves of bivariate matrix pencils
by: Plestenjak, Bor
Published: (2024)

Numerical methods for eigenvalues of singular polynomial eigenvalue problems
by: Hochstenbach, Michiel E., et al.
Published: (2024)

On the Choice of Subspace for the Quasi-minimal Residual Method for Linear Inverse Problems
by: Hu, Moshen, et al.
Published: (2025)

Iterative Refinement and Flexible Iteratively Reweighed Solvers for Linear Inverse Problems with Sparse Solutions
by: Onisk, Lucas, et al.
Published: (2025)

A Power-like Method for Computing the Dominant Eigenpairs of Large Scale Real Skew-Symmetric Matrices
by: Zheng, Qingqing
Published: (2024)

Minimizing the Arithmetic and Communication Complexity of Jacobi's Method for Eigenvalues and Singular Values: Part One -- Serial Algorithms
by: Demmel, James, et al.
Published: (2025)

Inexact Generalized Golub-Kahan Methods for Large-Scale Bayesian Inverse Problems
by: Bu, Yutong, et al.
Published: (2024)

A new interpretation of the weighted pseudoinverse and its applications
by: Li, Haibo
Published: (2024)

Spectral Transformation for the Dense Symmetric Semidefinite Generalized Eigenvalue Problem
by: Stewart, Michael
Published: (2024)

Riemann-Oracle: A general-purpose Riemannian optimizer to solve nearness problems in matrix theory
by: Gnazzo, Miryam, et al.
Published: (2024)

Fastest quotient iteration with variational principles for self-adjoint eigenvalue problems
by: Huhtanen, Marko, et al.
Published: (2024)

Sparse Pseudospectral Shattering
by: Shah, Rikhav, et al.
Published: (2024)

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
by: He, Haoze, et al.
Published: (2024)

Projected iterated Tikhonov regularization in low precision
by: Drum, Chelsea, et al.
Published: (2025)

Polynomial Approximation to the Inverse of a Large Matrix
by: Embree, Mark, et al.
Published: (2025)

Solving ill-conditioned linear algebraic systems using methods that improve conditioning
by: Leonov, A. S.
Published: (2024)

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

Generalized Inverses of Matrix Products: From Fundamental Subspaces to Randomized Decompositions
by: Karpowicz, Michał P., et al.
Published: (2026)

Scalable Pseudospectral Analysis via Low-Rank Approximations of Dynamical Systems
by: Kostic, Vladimir R., et al.
Published: (2026)

On bundle closures of matrix pencils and matrix polynomials
by: De Terán, Fernando, et al.
Published: (2024)

Alternating Stationary Iterative Methods Based on Double Splittings
by: Nandi, Ashish Kumar, et al.
Published: (2020)

MultiResolution Low-Rank Regularization of Dynamic Imaging Problems
by: Heikkilä, Tommi
Published: (2025)

Fast Flexible LSQR with a Hybrid Variant for Efficient Large-Scale Regularization
by: Mikušová, Eva, et al.
Published: (2025)

A Variational Equation and Lower Bound for the Linear Least-Squares Backward Error
by: Hallman, Eric
Published: (2026)

The condition number of singular subspaces, revisited
by: Vannieuwenhoven, Nick
Published: (2022)

Spotlight, priorsketching and Bayesian approximation error paradigms
by: Calvetti, Daniela, et al.
Published: (2026)

On the convergence of iterated penalty methods for structure-preserving discretizations of saddle point problems
by: Farrell, Patrick E., et al.
Published: (2026)

Polynomial Preconditioning for the Action of the Matrix Square Root and Inverse Square Root
by: Frommer, Andreas, et al.
Published: (2024)

A Contour Integral-Based Algorithm for Computing Generalized Singular Values
by: Liu, Yuqi, et al.
Published: (2023)

Diagonal Gaussian Mixture Models and Higher Order Tensor Decompositions
by: Guo, Bingni, et al.
Published: (2024)

A Hidden Variable Resultant Method for the Polynomial Multiparameter Eigenvalue Problem
by: Graf, Emil, et al.
Published: (2025)

A Jacobi-Type Eigensolver for Diagonally Dominant Symmetric Matrices
by: Gemignani, Luca
Published: (2026)

Singular vector spaces for computing the structured distance to singularity
by: Nyman, Lauri
Published: (2026)

A Family of Iterative Methods for Computing Generalized Inverses of Quaternion Matrices and its Applications
by: Karmakar, Biswarup, et al.
Published: (2026)

Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices
by: Dexter, Gregory, et al.
Published: (2024)

Characterizing GSVD by singular value expansion of linear operators and its computation
by: Li, Haibo
Published: (2024)

Takagi factorization of matrices depending on parameters and locating degeneracies of singular values
by: Dieci, Luca, et al.
Published: (2021)