The Separation of Variables Method
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 4 in Numerical Methods for Grid Equations, 1989, pp 171-238 from Springer
Abstract:
Abstract In this chapter we study variants of the method of separation of variables, which we use to solve the simplest elliptic grid equations in a rectangle. In Section 4.1 we present an algorithm for the fast Fourier transform of real and complex functions. In Section 4.2 we consider a classical variant of the method of separation of variables, using the Fourier transform algorithm. In Section 4.3 we construct a combined method, including incomplete reduction and separation of variables. We consider an application of this method to the solution of second and fourth order boundary value difference problems for Poisson’s equation. In Section 4.4 we describe a stable variant of the staircase algorithm for solving systems with tridiagonal and block tridiagonal matrices, also using the Fourier transform algorithm.
Keywords: Fast Fourier Transform; Discrete Fourier Transform; Arithmetic Operation; Fourier Coefficient; Grid Function (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:978-3-0348-9272-8_4
Ordering information: This item can be ordered from
http://www.springer.com/9783034892728
DOI: 10.1007/978-3-0348-9272-8_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 ().