Iterative Methods of Variational Type

Aleksandr A. Samarskii and Evgenii S. Nikolaev
Additional contact information
Aleksandr A. Samarskii: Moscow University, Department of Computational, Mathematics and Cybernetics
Evgenii S. Nikolaev: Moscow University, Department of Computational, Mathematics and Cybernetics

Chapter Chapter 8 in Numerical Methods for Grid Equations, 1989, pp 145-187 from Springer

Abstract: Abstract In this chapter we look at two-level and three-level iterative methods of variational type. Implementing these methods requires no a priori information about the operators of the scheme. In Sections 8.1, 8.2 two-level gradient methods are studied, and in Sections 8.3, 8.4, the three-level conjugate-direction methods are presented. Acceleration of convergence for two-level methods in the self-adjoint case is examined in Section 8.5.

Keywords: Convergence Rate; Iterative Method; Variational Type; Chebyshev Method; Iterative Parameter (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-0348-9142-4_4

Ordering information: This item can be ordered from
http://www.springer.com/9783034891424

DOI: 10.1007/978-3-0348-9142-4_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().