Subspace Recycling--Based Regularization Methods
From MaRDI portal
Publication:5014159
DOI10.1137/20M1379617MaRDI QIDQ5014159
Kirk M. Soodhalter, Ronny Ramlau, Victoria Hutterer
Publication date: 1 December 2021
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.05473
Analysis of algorithms and problem complexity (68Q25) Graph theory (including graph drawing) in computer science (68R10) Computer graphics; computational geometry (digital and algorithmic aspects) (68U05)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- R\(^3\)GMRES: including prior information in GMRES-type methods for discrete inverse problems
- Variational methods in imaging
- Nested Krylov methods based on GCR
- An augmented wavelet reconstructor for atmospheric tomography
- Lanczos-based fast blind deconvolution methods
- IR tools: a MATLAB package of iterative regularization methods and large-scale test problems
- Decomposition methods for large linear discrete ill-posed problems
- A Framework for Deflated and Augmented Krylov Subspace Methods
- Recycling BiCG with an Application to Model Reduction
- An efficient solution to the atmospheric turbulence tomography problem using Kaczmarz iteration
- Augmented GMRES-type methods
- Large-scale topology optimization using preconditioned Krylov subspace methods with recycling
- Recycling Krylov Subspaces for Sequences of Linear Systems
- Deflation and Balancing Preconditioners for Krylov Subspace Methods Applied to Nonsymmetric Matrices
- Inverse problems in astronomical adaptive optics
- Krylov Subspace Methods for Solving Large Unsymmetric Linear Systems
- Wavefront reconstruction from non-modulated pyramid wavefront sensor data using a singular value type expansion
- GMRES with Deflated Restarting
- Hybrid Projection Methods with Recycling for Inverse Problems
- Deflated and Augmented Krylov Subspace Methods: A Framework for Deflated BiCG and Related Solvers
- Real-time adaptive optics with pyramid wavefront sensors: part I. A theoretical analysis of the pyramid sensor model
- Real-time adaptive optics with pyramid wavefront sensors: part II. Accurate wavefront reconstruction using iterative methods
- Recycling Subspace Information for Diffuse Optical Tomography
- An Iteration Formula for Fredholm Integral Equations of the First Kind
This page was built for publication: Subspace Recycling--Based Regularization Methods