Ill-conditioned simultaneous linear equations (original) (raw)

Extrapolation techniques for ill-conditioned linear systems

Claude Brezinski

Numerische Mathematik, 1998

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On Regularization of Ill-Conditioned Linear Systems

Maziar Salahi

2016

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Improving the solvability of ill-conditioned systems of linear equations by reducing the condition number of their matrices

Muhammad Farooq

2011

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Ill-conditioning of the truncated singular value decomposition, Tikhonov regularization and their applications to numerical partial differential equations

ZI-CAI Li

Numerical Linear Algebra with Applications, 2011

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On the solution of ill-conditioned systems of linear equations

Behrouz Daneshian

Journal of Expert Systems, 2013

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Convergence of Regularization Parameters for Solutions Using the Filtered Truncated Singular Value Decomposition

saeed vatankhah

2019

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Novel Algorithms Based on the Conjugate Gradient Method for Inverting Ill-Conditioned Matrices, and a New Regularization Method to Solve Ill-Posed Linear Systems

Hong-Ki Hong

2015

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A note on the pin-pointing solution of ill-conditioned linear system of equations

Davod khojasteh salkuyeh

International Journal of Computer Mathematics, 2010

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On a Stochastic Regularization Technique for Ill-Conditioned Linear Systems

Arcanjo Lenzi

Open Engineering, 2019

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The Exact Condition Number of the Truncated Singular Value Solution of a Linear Ill-Posed Problem

Jean TSHIMANGA ILUNGA

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Algorithms for the regularization of ill-conditioned least squares problems

Lars Eldén

BIT, 1977

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Solving Ill-Posed Linear Systems with GMRES and a Singular Preconditioner

Lars Eldén

SIAM Journal on Matrix Analysis and Applications, 2012

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Singular value decomposition in an inverse source problem

S. Kabanikhin

Numerical Analysis and Applications, 2012

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A new iterative refinement of the solution of ill-conditioned linear system of equations

Davod khojasteh salkuyeh

International Journal of Computer Mathematics, 2011

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The Eigenspace Spectral Regularization Method for solving Discrete Ill-Posed Systems

Fredrick Asenso Wireko

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On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems

germana landi

Journal of Computational and Applied Mathematics, 2016

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Matrix Computations-A COMPARISON OF SOLUTION ACCURACY RESULTING FROM FACTORING AND INVERTING ILL-CONDITIONED MATRICES

Edmund Miller

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The Restricted Singular Value Decomposition: Properties and Applications

Bart De Moor

SIAM Journal on Matrix Analysis and Applications, 1991

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On the Equivalence of Singular and Ill-Posed Problems: The p-Factor Regularization Method

Ewa Bednarczuk

Doklady Mathematics, 2022

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A generalized regularization method for nonlinear ill-posed problems enhanced for nonlinear regularization terms

Tobias Roths

Computer Physics Communications, 2001

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On the regularizing behavior of recent gradient methods in the solution of linear ill-posed problems

germana landi

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A regularizing Lanczos iteration method for underdetermined linear systems

G. Spaletta

Journal of Computational and Applied Mathematics, 2000

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Numerical methods for solving linear ill-posed problems

Sapto Indratno

2011

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Inverse Problems, Regularization and Applications

Abinash Nayak

ArXiv, 2019

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Regularization Methods for Solving Ill-Posed Problems

BENEDICT BARNES

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Forming a methodology of basic matrices in the study of poorly conditioned linear systems

Volodymyr Kudin

Eastern-European Journal of Enterprise Technologies

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S-APS 1999-A COMPARISON OF SOLUTION ACCURACY RESULTING FROM FACTORING AND iNVERTING ILL-CONDITIONED MATRICES.pdf

Edmund Miller

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Well-Posedness And Convergence Of Some Regularization Methods For Nonlinear Ill-Posed Problems

Thomas Seidman

1989

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Ill-Conditioned equations in kinematics and dynamics of machines

Edward Haug

International Journal for Numerical Methods in Engineering, 1988

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A rational Arnoldi approach for ill-conditioned linear systems

Claude Brezinski

Journal of Computational and Applied Mathematics, 2012

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Regularized total least squares: computational aspects and error

Sergei Pereverzev

2012

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Regularization of inverse problems by an approximate matrix-function technique

Fabio Durastante

Numerical Algorithms

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Perturbation-based regularization for signal estimation in linear discrete ill-posed problems

Tarig Ballal

Signal Processing, 2018

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Matrix Computation-A COMPARISON OF SOLUTION ACCURACY RESULTING FROM FACTORING AND INVERTING ILL-CONDITIONED MATRICES,

Edmund Miller

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A Newton root-finding algorithm for estimating the regularization parameter for solving ill-conditioned least squares problems

Rosemary Renaut

Inverse Problems, 2009

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