On the two classes of high‐order convergent methods of approximate inverse preconditioners for solving linear systems

DOI10.1002/nla.2111zbMath1424.65021OpenAlexW2656044211MaRDI QIDQ4599028

Dervis Subasi, Ovgu C. Iyikal, Suzan C. Buranay

Publication date: 15 December 2017

Published in: Numerical Linear Algebra with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/nla.2111

zbMATH Keywords

preconditioningerror boundsill-posed problemshigh orderFredholm integral equation of the first kindbiconjugate gradient methodhyperpower iterationapproximate inverse preconditionerswell-posed problemsSchulz iterative method

Mathematics Subject Classification ID

Theory of matrix inversion and generalized inverses (15A09) Preconditioners for iterative methods (65F08)

Related Items (4)

Approximate Schur-block ILU preconditioners for regularized solution of discrete ill-posed problems ⋮ A predictor-corrector iterative method for solving linear least squares problems and perturbation error analysis ⋮ Theoretical and numerical aspects of a non-stationary preconditioned iterative method for linear discrete ill-posed problems ⋮ Hybrid Operators for Approximating Nonsmooth Functions and Applications on Volterra Integral Equations with Weakly Singular Kernels

This page was built for publication: On the two classes of high‐order convergent methods of approximate inverse preconditioners for solving linear systems