EconPapers    
Economics at your fingertips  
 

Linear singularly perturbed systems without slow-fast split

Zvi Artstein ()
Additional contact information
Zvi Artstein: The Weizmann Institute of Science

Computational Optimization and Applications, 2023, vol. 86, issue 3, No 4, 884 pages

Abstract: Abstract We examine linear, time invariant, singularly perturbed differential equations, where a split into slow and fast variables is not prescribed. Simple linear algebra considerations give rise to a useful order reduction type framework. A comparison with the classical order reduction method is provided, and the relation to efficient computations is pointed out.

Keywords: Singular perturbations; Order reduction; Linear differential equations; Young measures (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10589-022-00412-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:coopap:v:86:y:2023:i:3:d:10.1007_s10589-022-00412-9

Ordering information: This journal article can be ordered from
http://www.springer.com/math/journal/10589

DOI: 10.1007/s10589-022-00412-9

Access Statistics for this article

Computational Optimization and Applications is currently edited by William W. Hager

More articles in Computational Optimization and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-12
Handle: RePEc:spr:coopap:v:86:y:2023:i:3:d:10.1007_s10589-022-00412-9