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Least-square acceleration of iterative methods for linear equations

https://doi.org/10.1007/bf00933309
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-05156-2openalex-snapshot
Matrix Iterative Analysis
inferredcites →https://doi.org/10.1090/s0025-5718-1966-0234618-4openalex-snapshot
Estimates for Some Computational Techniques in Linear Algebra
inferredcites →https://doi.org/10.2307/2003862openalex-snapshot
Matrix Iterative Analysis

What points at this work

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

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Methods for Acceleration of Convergence (Extrapolation) of Vector Sequences
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Convergence promotion in the simulation of chemical processes—the general dominant eigenvalue method
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Quasi‐Newton methods for convergence acceleration of cyclic systems
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A modified general dominant eigenvalue method for convergence acceleration of cyclic systems
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A finite element convergence study for shear‐thinning flow problems
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Commentaries and Further Developments
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Computational methods of linear algebra
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Convergence of intermediate rows of minimal polynomial and reduced rank extrapolation tables
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A new structural reanalysis approach based on the polynomial-type extrapolation methods
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Structural sensitivity reanalysis formulations based on the polynomial-type extrapolation methods
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Minimal polynomial and reduced rank extrapolation methods are related
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The genesis and early developments of Aitken’s process, Shanks’ transformation, the ε–algorithm, and related fixed point methods
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A convergence study for reduced rank extrapolation on nonlinear systems
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N-mode minimal tensor extrapolation methods
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Einstien-multidimensional extrapolation methods
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Generalizing reduced rank extrapolation to low-rank matrix sequences
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Quasilinear vector extrapolation methods
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Reply to the critique of Morrison and Ross and comments on the analysis of physical adsorption data
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On a relationship between Quasi-Newton and dominant eigenvalue methods for the numerical solution of non-linear equations
inferred← citeshttps://doi.org/10.1016/0168-9274(90)90006-2openalex-snapshot
Application of vector extrapolation methods to consistent singular linear systems
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Convergence and stability analyses for some vector extrapolation methods in the presence of defective iteration matrices
inferred← citeshttps://doi.org/10.1016/0377-0427(91)90018-fopenalex-snapshot
Some results about vector extrapolation methods and related fixed-point iterations
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A second-order sparse factorization method for Poisson's equation with mixed boundary conditions
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Annotated Bibliography on Generalized Inverses and Applications
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Bibliography
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Nonlinear Schwarz iterations with reduced rank extrapolation
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Extrapolation and prediction of sequences in a vector space
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Structural vibration and sensitivity reanalyses via polynomial-type extrapolation
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Hybrid vector transformations
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Upper bounds for convergence rates of acceleration methods with initial iterations
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Méthodes de projection-minimisation pour les problèmes linéaires
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Optimal simultaneous maximuma posterioriestimation of states, noise statistics and parameters I. Algorithm
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Optimal simultaneous maximuma posterioriestimation of states, noise statistics and parameters II. Numerical performance
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A Survey of Shanks’ Extrapolation Methods and Their Applications
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Shanks Sequence Transformations and Anderson Acceleration
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N-mode Minimal Tensor Extrapolation Methods
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Convergence acceleration for vector sequences and applications to computational fluid dynamics
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Методы экстраполяции Шэнкса и их приложения
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SVD-MPE: An SVD-Based Vector Extrapolation Method of Polynomial Type
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