Image de couverture de livre

Where Have All the Kaczmarz Iterates Gone?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Bergou, El Houcine, Boucherouite, Soumia, Dutta, Aritra, Li, Xin, Ma, Anna
Format:	Preprint
Publié:	2025
Sujets:	Numerical Analysis Machine Learning Optimization and Control 15A06, 15A09, 15A10, 15A18, 65F10, 65Y20, 68Q25, 68W20, 68W40
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Note on Randomized Kaczmarz Algorithm for Solving Doubly-Noisy Linear Systems
par: Bergou, El Houcine, et autres
Publié: (2023)

Subspace-constrained randomized coordinate descent for linear systems with good low-rank matrix approximations
par: Lok, Jackie, et autres
Publié: (2025)

Parallelization Strategies for the Randomized Kaczmarz Algorithm on Large-Scale Dense Systems
par: Ferreira, Inês, et autres
Publié: (2024)

Survey of a Class of Iterative Row-Action Methods: The Kaczmarz Method
par: Ferreira, Inês A., et autres
Publié: (2024)

Randomized Flexible LSQR and LSMR with applications to inverse problems
par: Bucci, Alberto, et autres
Publié: (2026)

Structured Sketching for Linear Systems
par: Brust, Johannes J, et autres
Publié: (2024)

The Pseudoinverse of $A=CR$ is $A^+=R^+C^+$ (?)
par: Karpowicz, Michał P., et autres
Publié: (2023)

Sharp error bounds for approximate eigenvalues and singular values from subspace methods
par: Haas, Irina-Beatrice, et autres
Publié: (2025)

Efficient Bounds and Estimates for Canonical Angles in Randomized Subspace Approximations
par: Dong, Yijun, et autres
Publié: (2022)

Matrix perturbation analysis of methods for extracting singular values from approximate singular subspaces
par: Lazzarino, Lorenzo, et autres
Publié: (2024)

A randomized preconditioned Cholesky-QR algorithm
par: Garrison, James E., et autres
Publié: (2024)

Stochastic Trace Optimization of Parameter Dependent Matrices Based on Statistical Learning Theory
par: Saibaba, Arvind K., et autres
Publié: (2025)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
par: Matti, Fabio, et autres
Publié: (2025)

A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
par: He, Haoze, et autres
Publié: (2024)

Randomized methods for computing joint eigenvalues, with applications to multiparameter eigenvalue problems and root finding
par: He, Haoze, et autres
Publié: (2024)

Mixed Precision Orthogonalization-Free Projection Methods for Eigenvalue and Singular Value Problems
par: Xu, Tianshi, et autres
Publié: (2025)

Randomized algorithms for computing the tensor train approximation and their applications
par: Che, Maolin, et autres
Publié: (2024)

Efficient randomized algorithms for the fixed Tucker-rank problem of Tucker decomposition with adaptive shifts
par: Che, Maolin, et autres
Publié: (2025)

Adaptive finite element methods with optimally preconditioned GMRES guarantee optimal complexity
par: Führer, Thomas, et autres
Publié: (2026)

HOSCF: Efficient decoupling algorithms for finding the best rank-one approximation of higher-order tensors
par: Xiao, Chuanfu, et autres
Publié: (2024)

HaTT: Hadamard avoiding TT recompression
par: Sun, Zhonghao, et autres
Publié: (2024)

Learning nonnegative matrix factorizations from compressed data
par: Chaudhry, Abraar, et autres
Publié: (2024)

Randomized algorithms for streaming low-rank approximation in tree tensor network format
par: Bucci, Alberto, et autres
Publié: (2024)

A sequential multilinear Nyström algorithm for streaming low-rank approximation of tensors in Tucker format
par: Bucci, Alberto, et autres
Publié: (2024)

Matrix-free stochastic calculation of operator norms without using adjoints
par: Bresch, Jonas, et autres
Publié: (2024)

Fast and Accurate Interpolative Decompositions for General, Sparse, and Structured Tensors
par: Zhang, Yifan, et autres
Publié: (2025)

Low-rank approximation of parameter-dependent matrices via CUR decomposition
par: Park, Taejun, et autres
Publié: (2024)

Analysis of eigenvalue condition numbers for a class of randomized numerical methods for singular matrix pencils
par: Kressner, Daniel, et autres
Publié: (2023)

Stochastic Rounding Implicitly Regularizes Tall-and-Thin Matrices
par: Dexter, Gregory, et autres
Publié: (2024)

Fast Rank Adaptive CUR via a Recycled Small Sketch
par: Pritchard, Nathaniel, et autres
Publié: (2025)

Fast, High-Accuracy, Randomized Nullspace Computations for Tall Matrices
par: Epperly, Ethan N., et autres
Publié: (2026)

Linear-Scaling Tensor Train Sketching
par: Cazeaux, Paul, et autres
Publié: (2026)

Compression of Currents and Varifolds
par: Paul, Allen, et autres
Publié: (2024)

Efficient Sketching-Based Summation of Tucker Tensors
par: Smith, Rudi, et autres
Publié: (2026)

Towards an Efficient Shifted Cholesky QR for Applications in Model Order Reduction using pyMOR
par: Bindhak, Maximilian, et autres
Publié: (2025)

Smith Form Equivalence for Several Classes of Multivariate Polynomial Matrices
par: Chen, Zuo, et autres
Publié: (2026)

Computing adjoint mismatch of linear maps
par: Bresch, Jonas, et autres
Publié: (2025)

FlexTrace: Exchangeable Randomized Trace Estimation for Matrix Functions
par: Madhavan, Madhusudan, et autres
Publié: (2026)

Explicit Construction of Approximate Kolmogorov Superpositions with C2 Smoothness
par: Song, Lunji, et autres
Publié: (2025)

Sorting inversion sequences
par: Mansour, Toufik, et autres
Publié: (2024)