Volume 7, pp. 202-214, 1998.

Inexact Newton preconditioning techniques for large symmetric eigenvalue problems

Kesheng Wu, Yousef Saad, and Andreas Stathopoulos


This paper studies a number of Newton methods and use them to define new secondary linear systems of equations for the Davidson eigenvalue method. The new secondary equations avoid some common pitfalls of the existing ones such as the correction equation and the Jacobi-Davidson preconditioning. We will also demonstrate that the new schemes can be used efficiently in test problems.

Full Text (PDF) [134 KB]

Key words

sparse matrix eigenvalue problem, Newton method, preconditioning for eigenvalue method.

AMS subject classifications

65F50, 65F15.

ETNA articles which cite this article

Vol. 7 (1998), pp. 75-89 Gerard L. G. Sleijpen, Henk A. van der Vorst, and Ellen Meijerink: Efficient expansion of subspaces in the Jacobi-Davidson method for standard and generalized eigenproblems

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