Estimates of the \(l_2\) norm of the error in the conjugate gradient algorithm
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Publication:2583220
DOI10.1007/s11075-005-1528-0zbMath1082.65040OpenAlexW2023891589MaRDI QIDQ2583220
Publication date: 13 January 2006
Published in: Numerical Algorithms (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11075-005-1528-0
algorithmnumerical experimentserror estimationconjugate gradient methodlarge sparse symmetric positive definite matrixnorm of the error
Computational methods for sparse matrices (65F50) Iterative numerical methods for linear systems (65F10)
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Cites Work
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- Matrices, moments and quadrature. II: How to compute the norm of the error iterative methods
- The computation of bounds for the norm of the error in the conjugate gradient algorithm
- Numerical experiments in computing bounds for the norm of the error in the preconditioned conjugate gradient algorithm
- A Sparse Approximate Inverse Preconditioner for the Conjugate Gradient Method
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