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Vorst, Henk A. - Department of Mathematics, Universiteit Utrecht
NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS Numer. Linear Algebra Appl. 2001; 00:1--21 Prepared using nlaauth.cls [Version: 2000/03/22 v1.0]
Numerieke Wiskunde 3 Numerieke Lineaire Algebra
COMPUTING PROBABILISTIC BOUNDS FOR EXTREME EIGENVALUES OF SYMMETRIC MATRICES
Gedachten over de mathematisering van de samenleving, gezien `vanuit de Wiskunde'
Van der Vorst, H.A.; Chan, T.F. Parallel Preconditioning for Sparse Linear Equations
Is the transpose Is storage at
The convergence of Krylov methods and Ritz values Jan Brandts and Henk van der Vorst y
LIST OF PUBLICATIONS November 26, 2001
Eigenvalue Computation in the 20th Century Gene H. Golub \Lambda and Henk A. van der Vorst y
Subspace Iteration for Eigenproblems Henk van der Vorst \Lambda
Parallel Iterative Solution Methods for Linear Systems arising from Discretized PDE's
UniversiteitUtrecht Mathematics
Closer to the solution: Iterative linear solvers Gene H. Golub
Using domain decomposition in the JacobiDavidson method
Zwoegen door de modder en zweven langs de hemel Persoonlijke verhalen van wiskundigen
APPROXIMATE AND INCOMPLETE FACTORIZATIONS TONY F. CHAN \Lambda \Lambda AND HENK A. VAN DER VORST y
TRANSPOSEFREE FORMULATIONS OF LANCZOSTYPE METHODS FOR NONSYMMETRIC LINEAR SYSTEMS \Lambda
Iterative Solution of Linear Systems in the 20th Century Yousef Saad \Lambda Henk A. van der Vorst y
Templates for Linear Algebra Problems Zhaojun Bai
150 Years old and still alive: eigenproblems Henk A. van der Vorst
ParIC : A Family of Parallel Incomplete Cholesky Preconditioners
Developments and Trends in the Parallel Solution of Linear Systems
Quadratic Eigenproblems Are No Problem Gerard Sleijpen
Booten, A.; Fokkema, D.; Sleijpen, G.; Van der Vorst, H. JacobiDavidson Methods for Generalized MHDEigenvalue Problems
List of corrections for Iterative Krylov Methods for Large Linear
How to write a frequently cited article Henk van der Vorst
Parallel incomplete factorizations with pseudooverlapped subdomains
Numerieke Parti ele Differentiaal Vergelijkingen
10 20 30 40 50 60 # PROCESSORS
Solution of f(A)x = b with projection methods for the matrix A
A preconditioned JacobiDavidson method for solving large generalized eigenvalue problems
Van der Vorst, H.A. Computational Science Curriculum in Utrecht
