Cover Image

Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Landman, Malena Sabaté, Brown, Ariana N., Chung, Julianne, Nagy, James G.
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

Inner Product Free Krylov Methods for Large-Scale Inverse Problems
by: Brown, Ariana N., et al.
Published: (2024)

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems
by: Brown, Ariana N., et al.
Published: (2024)

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

Randomized flexible Krylov methods for $\ell_p$ regularization
by: Landman, Malena Sabaté, et al.
Published: (2025)

Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation
by: Chung, Julianne, et al.
Published: (2024)

Iterative Refinement and Flexible Iteratively Reweighed Solvers for Linear Inverse Problems with Sparse Solutions
by: Onisk, Lucas, et al.
Published: (2025)

New flexible and inexact Golub-Kahan algorithms for inverse problems
by: Landman, Malena Sabaté, et al.
Published: (2025)

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

Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
by: Hastings, Fred, et al.
Published: (2025)

Inexact Generalized Golub-Kahan Methods for Large-Scale Bayesian Inverse Problems
by: Bu, Yutong, et al.
Published: (2024)

Paired Autoencoders for Likelihood-free Estimation in Inverse Problems
by: Chung, Matthias, et al.
Published: (2024)

Nonlinear RMM-GKS for Large-Scale Dynamic and Streaming Inverse Problems with Uncertain Forward Operators
by: Okunola, Toluwani, et al.
Published: (2026)

Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems
by: Poot, Anne, et al.
Published: (2025)

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization
by: Hart, Emma, et al.
Published: (2025)

Hybrid ABBA-GMRES for Unmatched Backprojectors in Large Scale X-Ray Computerized Tomography
by: Bentley, Ryan, et al.
Published: (2026)

Reconstruction of the observable universe from the integrated Sachs-Wolfe effect
by: Chung, Julianne, et al.
Published: (2025)

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

Randomized Tensor Krylov Subspace Methods via Sketched Einstein Product with Applications to Image and Video Restoration
by: Badahmane, Achraf
Published: (2026)

Convergence Analysis of a Variable Projection Method for Regularized Separable Nonlinear Inverse Problems
by: Español, Malena I., et al.
Published: (2024)

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

An Alternating Direction Method of Multipliers for Inverse Lithography Problem
by: Chen, Junqing, et al.
Published: (2022)

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

Inverse Random Source Problem for the Helmholtz Equation from Statistical Phaseless Data
by: Chen, Qiao-Ping, et al.
Published: (2025)

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

A rational Krylov methods for large scale linear multidimensional dynamical systems
by: Barkouki, Houda, et al.
Published: (2024)

Latent Space Inference via Paired Autoencoders
by: Hart, Emma, et al.
Published: (2026)

Efficient sampling approaches based on generalized Golub-Kahan methods for large-scale hierarchical Bayesian inverse problems
by: Buser, Elle, et al.
Published: (2025)

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

A Riemannian Gradient Descent Method for the Least Squares Inverse Eigenvalue Problem
by: Riley, Alban Bloor, et al.
Published: (2025)

Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data
by: Ito, Kazufumi, et al.
Published: (2025)

Numerical Approximation and Analysis of the Inverse Robin Problem Using the Kohn-Vogelius Method
by: Burman, Erik, et al.
Published: (2025)

Priorconditioned Sparsity-Promoting Projection Methods for Deterministic and Bayesian Linear Inverse Problems
by: Lindbloom, Jonathan, et al.
Published: (2025)

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

Parameter Selection by GCV and a $χ^2$ test within Iterative Methods for $\ell_1$-regularized Inverse Problems
by: Sweeney, Brian, et al.
Published: (2024)

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

Optimal Estimation and Uncertainty Quantification for Stochastic Inverse Problems via Variational Bayesian Methods
by: Song, Ruibiao, et al.
Published: (2025)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
by: Bakhshaei, Kabir, et al.
Published: (2024)

A CUR Krylov Solver for Large-Scale Linear Matrix Equations
by: Akbari, Saeed, et al.
Published: (2025)

Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification
by: Solomon, Jack Michael, et al.
Published: (2026)

A Stable Iterative Direct Sampling Method for Elliptic Inverse Problems with Partial Cauchy Data
by: Jin, Bangti, et al.
Published: (2025)