EconPapers    
Economics at your fingertips  
 

An adaptive numerical method for the Vlasov equation based on a multiresolution analysis

N. Besse, F. Filbet, M. Gutnic, I. Paun and E. Sonnendrücker
Additional contact information
N. Besse: CEA
F. Filbet: Université Louis Pasteur, IRMA
M. Gutnic: Université Louis Pasteur, IRMA
I. Paun: Université Louis Pasteur, IRMA
E. Sonnendrücker: Université Louis Pasteur, IRMA

A chapter in Numerical Mathematics and Advanced Applications, 2003, pp 437-446 from Springer

Abstract: Summary Simulation of some problems in plasma physics or for high intensity beams requires the numerical resolution of the Vlasov equation on a mesh of phase space which doubles the number of dimensions. In order to optimize the number of mesh points where the distribution is computed, we developed a Vlasov solver using a multi resolution analysis where the distribution function is expanded on a wavelet basis spanning several scales. The idea of the method is to use a semi-Lagrangian type algorithm, where the characteristics are followed backwards, with time splitting between position and velocity advance. The interpolation points are chosen adaptively so as to put the computational effort where necessary. Our initial results using this method are presented.

Keywords: Prediction Operator; Coarse Mesh; Wavelet Decomposition; Mesh Point; Wavelet Basis (search for similar items in EconPapers)
Date: 2003
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:978-88-470-2089-4_41

Ordering information: This item can be ordered from
http://www.springer.com/9788847020894

DOI: 10.1007/978-88-470-2089-4_41

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 ().

 
Page updated 2026-06-25
Handle: RePEc:spr:sprchp:978-88-470-2089-4_41