Result 1 to 20 of 47 total
GMRES and the Arioli, Pták, and Strakoš parametrization. (English)
BIT 52, No. 3, 687-702 (2012).
1
The computation of isotropic vectors. (English)
Numer. Algorithms 60, No. 2, 193-204 (2012).
2
Estimates of the norm of the error in solving linear systems with FOM and GMRES. (English)
SIAM J. Sci. Comput. 33, No. 5, 2686-2705 (2011).
3
On the residual norm in FOM and GMRES. (English)
SIAM J. Matrix Anal. Appl. 32, No. 2, 394-411 (2011).
4
On the residual norm in FOM and GMRES (English)
SIAM J. Matrix Analysis Applications 32, No. 2, 394-411 (2011).
5
Analytic bounds for diagonal elements of functions of matrices. (English)
Fitzgibbon, William (ed.) et al., Applied and numerical partial differential equations. Scientific computing in simulation, optimization and control in a multidisciplinary context. Dordrecht: Springer (ISBN 978-90-481-3238-6/hbk; 978-90-481-3239-3/ebook). Computational Methods in Applied Sciences 15, 161-167 (2010).
6
Matrices, moments and quadrature with applications. (English)
Princeton Series in Applied Mathematics. Princeton, NJ: Princeton University Press (ISBN 978-0-691-14341-5/hbk; 978-1-400-83388-7/ebook). xi, 363~p. \sterling~44.95; \$~65.00; \$~65.00/ebook (2010).
7
New results on the convergence of the conjugate gradient method. (English)
Numer. Linear Algebra Appl. 16, No. 3, 223-236 (2009).
8
Estimates of the trace of the inverse of a symmetric matrix using the modified Chebyshev algorithm. (English)
Numer. Algorithms 51, No. 3, 309-318 (2009).
9
The Lanczos and conjugate gradient algorithms in finite precision arithmetic. (English)
Acta Numerica 15, 471-542 (2006).
10
The Lanczos and conjugate gradient algoritms. From theory to finite precision computations. (English)
Software - Environments - Tools 19. Philadelphia, PA: Society for Industrial and Applied Mathematics (SIAM) (ISBN 0-89871-616-0/pbk; 978-0-89871-814-0/ebook). xv, 365~p. \$~107.00 (2006).
11
Estimates of the $l_2$ norm of the error in the conjugate gradient algorithm. (English)
Numer. Algorithms 40, No. 2, 157-169 (2005).
12
A multilevel AINV preconditioner. (English)
Numer. Algorithms 29, No. 1-3, 107-129 (2002).
13
Local preconditioners for two-level non-overlapping domain decomposition methods. (English)
Numer. Linear Algebra Appl. 8, No. 4, 207-227 (2001).
14
On the incomplete Cholesky decomposition of a class of perturbed matrices. (English)
SIAM J. Sci. Comput. 23, No.2, 419-429 (2001).
15
Numerical experiments with algebraic multilevel preconditioners. (English)
ETNA, Electron. Trans. Numer. Anal. 12, 1-65, electronic only (2001).
16
Gaussian elimination for the solution of linear systems of equations. (English)
Ciarlet, P. G. (ed.) et al., Handbook of numerical analysis. Vol. 7: Solution of equations in ${\bbfR}^n$ (Part 3). Techniques of scientific computing (Part 3). Amsterdam: North-Holland/ Elsevier. 3-170 (2000).
17
Numerical experiments in computing bounds for the norm of the error in the preconditioned conjugate gradient algorithm. (English)
Numer. Algorithms 22, No.3-4, 353-365 (1999).
18
Computer solution of large linear systems. (English)
Studies in Mathematics and its Applications. 28. Amsterdam: Elsevier. 776 p. Dfl 295.00; Eur 133.87; \$ 149.50 (1999).
19
The computation of bounds for the norm of the error in the conjugate gradient algorithm. (English)
Numer. Algorithms 16, No.1, 77-87 (1997).
20
Result 1 to 20 of 47 total
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