Cover Image

A rational Krylov methods for large scale linear multidimensional dynamical systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Barkouki, Houda, Jbilou, Khalide
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A survey of scalar and vector extrapolation
by: Jbilou, Khalide
Published: (2026)

A Rational Krylov Method for Large‐Scale Linear Multidimensional Dynamical Systems
by: H. Barkouki, et al.
Published: (2025)

Efficient Krylov-Regularization Solvers for Multiquadric RBF Discretizations of the 3D Helmholtz Equation
by: Guide, Mohamed El, et al.
Published: (2025)

Higher order multi-dimension reduction methods via Einstein product
by: Zahir, Alaeddine, et al.
Published: (2024)

A low-rank non-convex norm method for multiview graph clustering
by: Zahir, Alaeddine, et al.
Published: (2023)

High-dimensional multi-view clustering methods
by: Zahir, Alaeddine, et al.
Published: (2023)

A Computationally Efficient Multidimensional Vision Transformer
by: Ichi, Alaa El, et al.
Published: (2026)

Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
by: Zahir, Alaeddine, et al.
Published: (2024)

Multidimensional Task Learning: A Unified Tensor Framework for Computer Vision Tasks
by: Ichi, Alaa El, et al.
Published: (2026)

Non-negative Einstein tensor factorization for unmixing hyperspectral images
by: Hachimi, Anas El, et al.
Published: (2024)

Regularization of linear inverse problems by rational Krylov methods
by: Kindermann, Stefan
Published: (2026)

Online multidimensional dictionary learning
by: Addi, Ferdaous Ait, et al.
Published: (2025)

Minimal residual rational Krylov subspace method for sequences of shifted linear systems
by: Daas, Hussam Al, et al.
Published: (2025)

Trace Ratio vs Ratio Trace Methods for Multidimensional Dimensionality Reduction
by: Zahir, Alaeddine, et al.
Published: (2025)

Multidimensional extrapolated global proximal gradient and applications for image processing
by: Bentbib, Abdeslem Hafid, et al.
Published: (2024)

Low-Rank Regularized Convex-Non-Convex Problems for Image Segmentation or Completion
by: Guide, Mohamed El, et al.
Published: (2025)

A Unified Trace-Optimization Framework for Multidimensionality Reduction
by: Guide, Mohamed El, et al.
Published: (2026)

Transfer function interpolation remainder formula of rational Krylov subspace methods
by: Lin, Yiding
Published: (2021)

Factorized Krylov subspace methods for solving large Sylvester equations
by: Satake, Yuki, et al.
Published: (2026)

A novel Krylov subspace method for approximating Fréchet derivatives of large-scale matrix functions
by: Kressner, Daniel, et al.
Published: (2026)

Tensor Krylov subspace methods via the T-product for large Sylvester tensor equations
by: Bouyghf, F., et al.
Published: (2024)

A shifted Laplace rational filter for large-scale eigenvalue problems
by: Wang, Biyi, et al.
Published: (2025)

Modified Greedy Quasi Block Coordinate Descent Method for Solving Linear Least‐Squares Problems
by: Fatemeh P. A. Beik, et al.
Published: (2026)

On maximum residual block Kaczmarz method for solving large consistent linear systems
by: Sun, Wen-Ning, et al.
Published: (2024)

Deterministic sketching for Krylov subspace methods
by: Bergermann, Kai
Published: (2026)

Randomized Krylov methods for inverse problems
by: Chung, Julianne, et al.
Published: (2025)

Efficient Krylov methods for linear response in plane-wave electronic structure calculations
by: Herbst, Michael F., et al.
Published: (2025)

Connecting randomized iterative methods with Krylov subspaces
by: Sun, Yonghan, et al.
Published: (2025)

A low-memory Lanczos method with rational Krylov compression for matrix functions
by: Casulli, Angelo A., et al.
Published: (2024)

Randomized orthogonalization and Krylov subspace methods: principles and algorithms
by: de Damas, Jean-Guillaume, et al.
Published: (2025)

Efficient TV regularization of large-scale linear inverse problems via the SCD semismooth* Newton method with applications in tomography
by: Gfrerer, Helmut, et al.
Published: (2026)

A subspace method for large-scale trace ratio problems
by: Ferrandi, G., et al.
Published: (2024)

Error formulas for block rational Krylov approximations of matrix functions
by: Massei, Stefano, et al.
Published: (2025)

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
by: Sharma, Harsh, et al.
Published: (2022)

Prediction of large-scale dynamics using unresolved computations
by: Chorin, A. J., et al.
Published: (1999)

Randomized block Krylov method for approximation of truncated tensor SVD
by: Kooshkghazi, Malihe Nobakht, et al.
Published: (2025)

Flexible inner-product free Krylov methods for inverse problems
by: Landman, Malena Sabaté
Published: (2025)

Trace Ratio Based Manifold Learning With Tensor Data
by: Mohammed Bouallala, et al.
Published: (2024)

Convergence analysis for a finite volume evolution Galerkin method for multidimensional hyperbolic systems
by: Lukáčová-Medvidová, Mária, et al.
Published: (2025)

Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems
by: Landman, Malena Sabaté, et al.
Published: (2025)