Subscale Capturing in Numerical Analysis
Stanley Osher
Additional contact information
Stanley Osher: University of California, Mathematics Department
A chapter in Proceedings of the International Congress of Mathematicians, 1995, pp 1449-1459 from Springer
Abstract:
Abstract In this paper we shall describe numerical methods that were devised for the purpose of computing small scale behavior without either fully resolving the whole solution or explicitly tracking certain singular parts of it. Techniques developed for this purpose include shock capturing, front capturing, and multiscale analysis. Areas in which these methods have recently proven useful include image processing, computer vision, and differential geometry, as well as more traditional fields of physics and engineering.
Date: 1995
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:978-3-0348-9078-6_141
Ordering information: This item can be ordered from
http://www.springer.com/9783034890786
DOI: 10.1007/978-3-0348-9078-6_141
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 ().