Imagen de Portada

The Detection and Correction of Silent Errors in Pipelined Krylov Subspace Methods

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Carson, Erin Claire, Hercík, Jakub
Formato:	Preprint
Publicado:	2024
Materias:	Numerical Analysis 65F10, 65F50, 68W10
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

GMRES with randomized sketching and deflated restarting
por: Burke, Liam, et al.
Publicado: (2023)

Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels
por: Fairbanks, Hillary R., et al.
Publicado: (2024)

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

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
por: Dereziński, Michał, et al.
Publicado: (2026)

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
por: Epperly, Ethan N., et al.
Publicado: (2024)

Fast and forward stable randomized algorithms for linear least-squares problems
por: Epperly, Ethan N.
Publicado: (2023)

Krylov Subspace Recycling For Matrix Functions
por: Burke, Liam, et al.
Publicado: (2022)

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

On the backward stability of s-step GMRES
por: Carson, Erin, et al.
Publicado: (2024)

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

On the numerical stability of sketched GMRES
por: Burke, Liam, et al.
Publicado: (2025)

Convergence Analysis of a Variable Projection Method for Regularized Separable Nonlinear Inverse Problems
por: Español, Malena I., et al.
Publicado: (2024)

Variable Projection Methods for Solving Regularized Separable Inverse Problems with Applications to Semi-Blind Image Deblurring
por: Salzer, Delfina B. Comerso, et al.
Publicado: (2026)

Parameter Selection by GCV and a $χ^2$ test within Iterative Methods for $\ell_1$-regularized Inverse Problems
por: Sweeney, Brian, et al.
Publicado: (2024)

nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods
por: Werner, Tom, et al.
Publicado: (2025)

Beyond Low Rank: Fast Low-Rank + Diagonal Decomposition with a Spectral Approach
por: Yeon, Kingsley, et al.
Publicado: (2025)

Accelerating a restarted Krylov method for matrix functions with randomization
por: Guidotti, Nicolas L., et al.
Publicado: (2025)

Optimal Krylov On Average
por: Luo, Qi, et al.
Publicado: (2025)

Efficient Decomposition-Based Algorithms for $\ell_1$-Regularized Inverse Problems with Column-Orthogonal and Kronecker Product Matrices
por: Sweeney, Brian, et al.
Publicado: (2024)

Split Bregman Isotropic and Anisotropic Image Deblurring with Kronecker Product Sum Approximations using Single Precision Enlarged-GKB or RSVD Algorithms to provide low rank truncated SVDs
por: Alsubhi, Abdulmajeed, et al.
Publicado: (2024)

Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
por: Zhang, Lu, et al.
Publicado: (2026)

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

Balancing Inexactness in Mixed Precision Matrix Computations
por: Carson, Erin Claire
Publicado: (2026)

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

Randomized sketched TT-GMRES for linear systems with tensor structure
por: Bucci, Alberto, et al.
Publicado: (2024)

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

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

On a randomized small-block Lanczos method for large-scale null space computations
por: Kressner, Daniel, et al.
Publicado: (2024)

Forward and backward error bounds for a mixed precision preconditioned conjugate gradient algorithm
por: Bake, Thomas, et al.
Publicado: (2025)

Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method
por: Ferreira, Inês A., et al.
Publicado: (2024)

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
por: Lok, Jackie, et al.
Publicado: (2025)

On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems
por: Huang, Na, et al.
Publicado: (2022)

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

Randomized Nyström approximation of non-negative self-adjoint operators
por: Persson, David, et al.
Publicado: (2024)

Parallel Energy-Minimization Prolongation for Algebraic Multigrid
por: Janna, Carlo, et al.
Publicado: (2022)

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
por: Matalon, Pierre, et al.
Publicado: (2025)

The effect of approximate coarsest-level solves on the convergence of multigrid V-cycle methods
por: Vacek, Petr, et al.
Publicado: (2023)

A Krylov projection algorithm for large symmetric matrices with dense spectra
por: Druskin, Vladimir, et al.
Publicado: (2025)

Preconditioned Truncated Single-Sample Estimators for Scalable Stochastic Optimization
por: Xu, Tianshi, et al.
Publicado: (2025)