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Iterative Solution Methods

2016
Linear systems of equations resulting from finite element discretizations of partial differential equations are typically large, sparse, and ill-conditioned. Their efficient numerical solution exploits properties of the underlying continuous problem or a sequence of discretizations.
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Semi-Iterative Methods

1994
The semi-iteration comes in three formulations. The first one in Section 8.1 is the most general and associates each semi-iterate with a polynomial. Using the notion of Krylov spaces, we only require that the errors of the semi-iterates \(y^{m}\) be elements of the Krylov space \(x^{0}+N\mathcal {K}_{m}(AN,r^{0})\). In the second formulation of Section
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On the positivity of iterative methods

Annales Universitatis Scientiarum Budapestinensis de Rolando Eötvös nominatae. Sectio computatorica, 2000
Summary: We study the positivity of some vector sequences produced by given vector-iteration. In our investgation we apply the well-known power method. We give some sufficient conditions of the positivity of the generated vector sequence depending both on the initial vector and on the matrix of the iteration.
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Two-sweep iterative methods

Nonlinear Analysis: Theory, Methods & Applications, 1997
Convergence results for the class of \(H\)-matrices and for the Jacobi and the Gauss-Seidel double successive overrelaxation methods are proved.
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Operator trigonometry of iterative methods

Numerical Linear Algebra with Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Subspace-Based Distorted-Born Iterative Method for Solving Inverse Scattering Problems

IEEE Transactions on Antennas and Propagation, 2017
Xiuzhu Ye, Xudong Chen
semanticscholar   +1 more source

Iterative Methods

2013
Richard C. Aster   +2 more
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