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Preconditioned GMRES methods for least squares problems

https://doi.org/10.1007/bf03167519
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02481151openalex-snapshot
A necessary and sufficient convergence condition of orthomin(k) methods for least squares problem with weight
inferredcites →https://doi.org/10.1016/0377-0427(88)90345-7openalex-snapshot
Preconditioning techniques for nonsymmetric and indefinite linear systems
inferredcites →https://doi.org/10.1016/s0024-3795(00)00064-1openalex-snapshot
GMRES-type methods for inconsistent systems
inferredcites →https://doi.org/10.1137/0905067openalex-snapshot
Incomplete Methods for Solving $A^T Ax = b$
inferredcites →https://doi.org/10.1137/0907058openalex-snapshot
GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems
inferredcites →https://doi.org/10.1137/1.9781611971484openalex-snapshot
Numerical Methods for Least Squares Problems
inferredcites →https://doi.org/10.1137/s0895479894262339openalex-snapshot
GMRES On (Nearly) Singular Systems
inferredcites →https://doi.org/10.1137/s106482750240649xopenalex-snapshot
A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems
inferredcites →https://doi.org/10.5860/choice.34-1602openalex-snapshot
Numerical methods for least squares problems
inferredcites →https://doi.org/10.6028/jres.049.044openalex-snapshot
Methods of conjugate gradients for solving linear systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-540-46375-7_23openalex-snapshot
Convergence Analysis of GMRES Methods for Least Squares Problems
inferred← citeshttps://doi.org/10.1016/j.cam.2008.05.052openalex-snapshot
Preconditioned GMRES methods with incomplete Givens orthogonalization method for large sparse least-squares problems
inferred← citeshttps://doi.org/10.1109/icieam.2017.8076409openalex-snapshot
Application of GMSH + GetDP software suite for calculation of non-stationary electromagnetic fields of electrical devices
inferred← citeshttps://doi.org/10.1109/tmag.2022.3156289openalex-snapshot
The Influence of Gauge Conditions on Process and Result of Solving 3-D Problems of Computational Electromagnetism by the Finite Element Method
inferred← citeshttps://doi.org/10.1134/s1063778825100345openalex-snapshot
Description of Intermolecular Interactions in (CH4)2, CH4Ne, and Ne2 Dimers
inferred← citeshttps://doi.org/10.1137/070696313openalex-snapshot
GMRES Methods for Least Squares Problems
inferred← citeshttps://doi.org/10.1137/120873005openalex-snapshot
A Dual-Scale Modeling Approach for Drying Hygroscopic Porous Media
inferred← citeshttps://doi.org/10.1137/23m161851xopenalex-snapshot
Least Squares and the Not-Normal Equations
inferred← citeshttps://doi.org/10.11948/2019.57openalex-snapshot
KRYLOV SUBSPACE METHODS WITH DEFLATION AND BALANCING PRECONDITIONERS FOR LEAST SQUARES PROBLEMS
inferred← citeshttps://doi.org/10.23860/diss-richmond-daniel-2014openalex-snapshot
IMPLICITLY RESTARTED KRYLOV SUBSPACE METHODS FOR LARGE-SCALE LEAST-SQUARES PROBLEMS
inferred← citeshttps://doi.org/10.26583/vestnik.2025.2.2openalex-snapshot
ОПИСАНИЯ МЕЖМОЛЕКУЛЯРНЫХ ВЗАИМОДЕЙСТВИЙ В ДИМЕРАХ (CH4)2, CH4NE, NE2
inferred← citeshttps://doi.org/10.3390/ijms25031472openalex-snapshot
The Role of Bond Functions in Describing Intermolecular Electron Correlation for Van der Waals Dimers: A Study of (CH4)2 and Ne2
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