Cover Image

Randomized block Krylov method for approximation of truncated tensor SVD

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kooshkghazi, Malihe Nobakht, Ahmadi-Asl, Salman, de Almeida, Andre L. F.
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient iterative techniques for solving tensor problems with the T-product
by: Kooshkghazi, Malihe Nobakht, et al.
Published: (2025)

Pass-efficient Randomized Algorithms for Low-rank Approximation of Quaternion Matrices
by: Ahmadi-Asl, Salman, et al.
Published: (2025)

On the permanent of random tensors
by: Kooshkghazi, Malihe Nobakht, et al.
Published: (2025)

Fast randomized algorithms for computing the generalized tensor SVD based on the tubal product
by: Ahmadi-Asl, Salman, et al.
Published: (2023)

Randomized algorithms for Kroncecker tensor decomposition and applications
by: Ahmadi-Asl, Salman, et al.
Published: (2024)

A note on generalized tensor CUR approximation for tensor pairs and tensor triplets based on the tubal product
by: Ahmadi-Asl, Salman, et al.
Published: (2023)

An Efficient Randomized Fixed-Precision Algorithm for Tensor Singular Value Decomposition
by: Ahmadi-Asl, Salman
Published: (2022)

A Randomized Algorithm for Tensor Singular Value Decomposition using an Arbitrary Number of Passes
by: Ahmadi-Asl, Salman, et al.
Published: (2022)

Efficient Algorithms for Low Tubal Rank Tensor Approximation with Applications
by: Ahmadi-Asl, Salman, et al.
Published: (2024)

Randomized block-Krylov subspace methods for low-rank approximation of matrix functions
by: Persson, David, et al.
Published: (2025)

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

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

Iterative Methods for Computing the Moore-Penrose Pseudoinverse of Quaternion Matrices, with Applications
by: Leplat, Valentin, et al.
Published: (2025)

Nonnegative Tensor Decomposition Via Collaborative Neurodynamic Optimization
by: Ahmadi-Asl, Salman, et al.
Published: (2024)

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

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

QuatIca: Advanced Numerical Linear Algebra and Optimization for Quaternionic Matrices in Python
by: Leplat, Valentin, et al.
Published: (2026)

Sparse Random-Feature Neural Networks with Krylov-Based SVD for Singularly Perturbed ODE
by: Vaidyan, Kevin Kurian Thomas, et al.
Published: (2026)

A New Tensor Network: Tubal Tensor Train and Its Applications
by: Ahmadi-Asl, Salman, et al.
Published: (2026)

Weighted balanced truncation method for approximating kernel functions by exponentials
by: Lin, Yuanshen, et al.
Published: (2025)

Preconditioning without a preconditioner: faster ridge-regression and Gaussian sampling with randomized block Krylov subspace methods
by: Chen, Tyler, et al.
Published: (2025)

Efficient approximations of matrix multiplication using truncated decompositions
by: Kar, Suvendu, et al.
Published: (2025)

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

Open problems and perspectives on solving Friedrichs systems by Krylov approximation
by: Caruso, Noe Angelo, et al.
Published: (2024)

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

Precision-induced Adaptive Randomized Low-Rank Approximation for SVD and Matrix Inversion
by: Xu, Weiwei, et al.
Published: (2026)

Dominant subspace and low-rank approximations from block Krylov subspaces without a prescribed gap
by: Massey, Pedro
Published: (2021)

Data-driven balanced truncation for second-order systems via the approximate Gramians
by: Wang, Xiaolong, et al.
Published: (2025)

Randomized Kaczmarz methods for t-product tensor linear systems with factorized operators
by: Castillo, Alejandra, et al.
Published: (2024)

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

Algorithm xxx: Faster Randomized SVD with Dynamic Shifts
by: Feng, Xu, et al.
Published: (2024)

Optimally truncated WKB approximation for the highly oscillatory stationary 1D Schrödinger equation
by: Körner, Jannis, et al.
Published: (2023)

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

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

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)

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

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

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

Analysis on aggregation and block smoothers in multigrid methods for block Toeplitz linear systems
by: Bolten, Matthias, et al.
Published: (2024)