Restoring similarity in randomized Krylov methods with applications to eigenvalue problems and matrix functions
Fuente:
arXiv
Guardado en:
| Autores principales: | Grigori, Laura, Kressner, Daniel, Shao, Nian, Simunec, Igor |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Randomized orthogonalization and Krylov subspace methods: principles and algorithms
por: de Damas, Jean-Guillaume, et al.
Publicado: (2025)
por: de Damas, Jean-Guillaume, et al.
Publicado: (2025)
Error bounds for the approximation of matrix functions with rational Krylov methods
por: Igor Simunec
Publicado: (2024)
por: Igor Simunec
Publicado: (2024)
A low-memory Lanczos method with rational Krylov compression for matrix functions
por: Casulli, Angelo A., et al.
Publicado: (2024)
por: Casulli, Angelo A., et al.
Publicado: (2024)
Lanczos with compression for symmetric eigenvalue problems
por: Casulli, Angelo A., et al.
Publicado: (2026)
por: Casulli, Angelo A., et al.
Publicado: (2026)
A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions
por: Kressner, Daniel, et al.
Publicado: (2026)
por: Kressner, Daniel, et al.
Publicado: (2026)
On a randomized small-block Lanczos method for large-scale null space computations
por: Kressner, Daniel, et al.
Publicado: (2024)
por: Kressner, Daniel, et al.
Publicado: (2024)
Randomized biorthogonalization through a two-sided Gram-Schmidt process
por: Grigori, Laura, et al.
Publicado: (2025)
por: Grigori, Laura, et al.
Publicado: (2025)
Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
por: He, Haoze, et al.
Publicado: (2024)
por: He, Haoze, et al.
Publicado: (2024)
A preconditioned inverse iteration with an improved convergence guarantee
por: Alimisis, Foivos, et al.
Publicado: (2024)
por: Alimisis, Foivos, et al.
Publicado: (2024)
Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils
por: Kressner, Daniel, et al.
Publicado: (2023)
por: Kressner, Daniel, et al.
Publicado: (2023)
Subspace embedding with random Khatri-Rao products and its application to eigensolvers
por: Bujanović, Zvonimir, et al.
Publicado: (2024)
por: Bujanović, Zvonimir, et al.
Publicado: (2024)
Stabilizing the Rayleigh--Ritz procedure by randomization
por: Shao, Nian
Publicado: (2026)
por: Shao, Nian
Publicado: (2026)
Randomized strong rank-revealing QR for column subset selection and low-rank matrix approximation
por: Grigori, Laura, et al.
Publicado: (2025)
por: Grigori, Laura, et al.
Publicado: (2025)
Randomized Krylov methods for inverse problems
por: Chung, Julianne, et al.
Publicado: (2025)
por: Chung, Julianne, et al.
Publicado: (2025)
Connecting randomized iterative methods with Krylov subspaces
por: Sun, Yonghan, et al.
Publicado: (2025)
por: Sun, Yonghan, et al.
Publicado: (2025)
On the relaxed greedy randomized Kaczmarz methods with momentum acceleration for solving matrix equation AXB=C
por: Wu, Nian-Ci, et al.
Publicado: (2023)
por: Wu, Nian-Ci, et al.
Publicado: (2023)
On the approximation of vector-valued functions by volume sampling
por: Kressner, Daniel, et al.
Publicado: (2023)
por: Kressner, Daniel, et al.
Publicado: (2023)
Approximation in the extended functional tensor train format
por: Strössner, Christoph, et al.
Publicado: (2022)
por: Strössner, Christoph, et al.
Publicado: (2022)
A sketch-and-select Arnoldi process
por: Güttel, Stefan, et al.
Publicado: (2023)
por: Güttel, Stefan, et al.
Publicado: (2023)
Randomized Implicitly Restarted Arnoldi method for the non-symmetric eigenvalue problem
por: de Damas, Jean-Guillaume, et al.
Publicado: (2024)
por: de Damas, Jean-Guillaume, et al.
Publicado: (2024)
Applying acceleration to Krylov subspace eigenvalue solvers
por: Baker, Michelle, et al.
Publicado: (2026)
por: Baker, Michelle, et al.
Publicado: (2026)
Regularization of linear inverse problems by rational Krylov methods
por: Kindermann, Stefan
Publicado: (2026)
por: Kindermann, Stefan
Publicado: (2026)
Krylov and core transformation algorithms for an inverse eigenvalue problem to compute recurrences of multiple orthogonal polynomials
por: Faghih, Amin, et al.
Publicado: (2025)
por: Faghih, Amin, et al.
Publicado: (2025)
On the extended randomized multiple row method for solving linear least-squares problems
por: Wu, Nian-Ci, et al.
Publicado: (2022)
por: Wu, Nian-Ci, et al.
Publicado: (2022)
Accelerating a restarted Krylov method for matrix functions with randomization
por: Guidotti, Nicolas L., et al.
Publicado: (2025)
por: Guidotti, Nicolas L., et al.
Publicado: (2025)
Randomized Joint Diagonalization of Symmetric Matrices
por: He, Haoze, et al.
Publicado: (2022)
por: He, Haoze, et al.
Publicado: (2022)
Flexible inner-product free Krylov methods for inverse problems
por: Landman, Malena Sabaté
Publicado: (2025)
por: Landman, Malena Sabaté
Publicado: (2025)
Transformation from integral operator with separable kernel to matrix in eigenvalue problem
por: Hirai, Soma, et al.
Publicado: (2025)
por: Hirai, Soma, et al.
Publicado: (2025)
Factorized Krylov subspace methods for solving large Sylvester equations
por: Satake, Yuki, et al.
Publicado: (2026)
por: Satake, Yuki, et al.
Publicado: (2026)
Randomized sketching of nonlinear eigenvalue problems
por: Güttel, Stefan, et al.
Publicado: (2022)
por: Güttel, Stefan, et al.
Publicado: (2022)
A structural bound for cluster robustness of randomized small-block Lanczos
por: Shao, Nian
Publicado: (2025)
por: Shao, Nian
Publicado: (2025)
Randomized low-rank approximation of parameter-dependent matrices
por: Kressner, Daniel, et al.
Publicado: (2023)
por: Kressner, Daniel, et al.
Publicado: (2023)
Estimation of spectral gaps for sparse symmetric matrices
por: Benzi, Michele, et al.
Publicado: (2024)
por: Benzi, Michele, et al.
Publicado: (2024)
Offline-online approximation of multiscale eigenvalue problems with random defects
por: Kolombage, Dilini, et al.
Publicado: (2024)
por: Kolombage, Dilini, et al.
Publicado: (2024)
Transfer function interpolation remainder formula of rational Krylov subspace methods
por: Lin, Yiding
Publicado: (2021)
por: Lin, Yiding
Publicado: (2021)
Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
por: Cortinovis, Alice, et al.
Publicado: (2024)
por: Cortinovis, Alice, et al.
Publicado: (2024)
A quasi-orthogonal iterative method for eigenvalue problems
por: Wang, Shengyue, et al.
Publicado: (2026)
por: Wang, Shengyue, et al.
Publicado: (2026)
The mixed discontinuous Galerkin method for the Oseen eigenvalue problem
por: Sun, Lingling, et al.
Publicado: (2025)
por: Sun, Lingling, et al.
Publicado: (2025)
Error formulas for block rational Krylov approximations of matrix functions
por: Massei, Stefano, et al.
Publicado: (2025)
por: Massei, Stefano, et al.
Publicado: (2025)
Variational Bayes' method for functions with applications to some inverse problems
por: Jia, Junxiong, et al.
Publicado: (2019)
por: Jia, Junxiong, et al.
Publicado: (2019)
Ejemplares similares
-
Randomized orthogonalization and Krylov subspace methods: principles and algorithms
por: de Damas, Jean-Guillaume, et al.
Publicado: (2025) -
Error bounds for the approximation of matrix functions with rational Krylov methods
por: Igor Simunec
Publicado: (2024) -
A low-memory Lanczos method with rational Krylov compression for matrix functions
por: Casulli, Angelo A., et al.
Publicado: (2024) -
Lanczos with compression for symmetric eigenvalue problems
por: Casulli, Angelo A., et al.
Publicado: (2026) -
A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions
por: Kressner, Daniel, et al.
Publicado: (2026)