Imagen de Portada

Randomized Tensor Krylov Subspace Methods via Sketched Einstein Product with Applications to Image and Video Restoration

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Badahmane, Achraf
Formato:	Preprint
Publicado:	2026
Materias:	Numerical Analysis
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A new class of regularized preconditioners for double saddle-point problems
por: Badahmane, Achraf
Publicado: (2025)

New Randomized Global Generalized Minimum Residual (RGl-GMRES) method
por: Badahmane, Achraf, et al.
Publicado: (2026)

New preconditioner strategy for solving block four-by-four linear systems: An application to the saddle-point problem from 3D Stokes equation
por: Badahmane, Achraf, et al.
Publicado: (2024)

Stabilized Krylov Subspace Recurrences via Randomized Sketching
por: Valeria Simoncini, et al.
Publicado: (2025)

Novel Approach for solving the discrete Stokes problems based on Augmented Lagrangian and Global Techniques: Application to Saddle-Point Linear Systems from Incompressible flow
por: Badahmane, A., et al.
Publicado: (2024)

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

Formulae for the Drazin inverse of Modified Tensors via the Einstein Product
por: Zhao, Yue, et al.
Publicado: (2026)

Error Analysis of Krylov Subspace approximation Based on IDR($s$) Method for Matrix Function Bilinear Forms
por: Xue, Qianqian, et al.
Publicado: (2025)

Assessing the Performance of Mixed-Precision ILU(0)-Preconditioned Multiple-Precision Real and Complex Krylov Subspace Methods
por: Kouya, Tomonori
Publicado: (2025)

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

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

Fast Randomized Matrix and Tensor Interpolative Decomposition Using CountSketch
por: Malik, Osman Asif, et al.
Publicado: (2019)

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

Recursive Sketched Interpolation: Efficient Hadamard Products of Tensor Trains
por: Meng, Zhaonan, et al.
Publicado: (2026)

Second-Generation Wavelet-inspired Tensor Product with Applications in Hyperspectral Imaging
por: Panchal, Aneesh, et al.
Publicado: (2026)

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
por: Wang, Hong, et al.
Publicado: (2024)

Restoring similarity in randomized Krylov methods with applications to eigenvalue problems and matrix functions
por: Grigori, Laura, et al.
Publicado: (2026)

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

A Symmetric Multigrid-Preconditioned Krylov Subspace Solver for Stokes Equations
por: Tao, Yutian, et al.
Publicado: (2023)

Random Subspace Cubic-Regularization Methods, with Applications to Low-Rank Functions
por: Cartis, Coralia, et al.
Publicado: (2025)

Time-Domain Iterative Rational Krylov Method
por: Ackermann, Michael S., et al.
Publicado: (2024)

Low-rankness and Smoothness Meet Subspace: A Unified Tensor Regularization for Hyperspectral Image Super-resolution
por: Zhang, Jun, et al.
Publicado: (2025)

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

Adaptive Randomized Tensor Train Rounding using Khatri-Rao Products
por: Daas, Hussam Al, et al.
Publicado: (2025)

The Detection and Correction of Silent Errors in Pipelined Krylov Subspace Methods
por: Carson, Erin Claire, et al.
Publicado: (2024)

Reduced Krylov Basis Methods for Parametric Partial Differential Equations
por: Li, Yuwen, et al.
Publicado: (2024)

Norming Sets for Tensor and Polynomial Sketching
por: Zhang, Yifan, et al.
Publicado: (2025)

Randomized Kaczmarz Methods with Beyond-Krylov Convergence
por: Dereziński, Michał, et al.
Publicado: (2025)

A Provably Efficient Method for Tensor Ring Decomposition and Its Applications
por: Chen, Han, et al.
Publicado: (2025)

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

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

Krylov Iterative Methods for the Geometric Mean of Two Matrices Times a Vector
por: Castellini, Jacopo
Publicado: (2019)

Generative Modeling via Hierarchical Tensor Sketching
por: Peng, Yifan, et al.
Publicado: (2023)

Randomized Quaternion UTV Decomposition and Randomized Quaternion Tensor UTV Decomposition
por: Yang, Liqiao, et al.
Publicado: (2024)

Multinode Shepard Functions and Tensor Product Polynomial Interpolation: Applications to Digital Elevation Models
por: Barrera, Domingo, et al.
Publicado: (2025)

Matrix-Free Ghost Penalty Evaluation via Tensor Product Factorization
por: Wichrowski, Michał
Publicado: (2025)

Block Matrix and Tensor Randomized Kaczmarz Methods for Linear Feasibility Problems
por: Zhang, Minxin, et al.
Publicado: (2024)

Fast Exact Leverage Score Sampling from Khatri-Rao Products with Applications to Tensor Decomposition
por: Bharadwaj, Vivek, et al.
Publicado: (2023)

Randomized Algorithms for Low-Rank Matrix and Tensor Decompositions
por: Pearce, Katherine J., et al.
Publicado: (2025)

Structured FISTA for Image Restoration
por: Chen, Zixuan, et al.
Publicado: (2019)