EconPapers    
Economics at your fingertips  
 

Collocation and Least Squares Methods

Jiří Gregor () and Jaroslav Tišer ()
Additional contact information
Jiří Gregor: Czech Technical University, Department of Mathematics
Jaroslav Tišer: Czech Technical University, Department of Mathematics

Chapter 6 in Discovering Mathematics, 2011, pp 113-128 from Springer

Abstract: Abstract Various methods to adjust given or chosen mathematical models to actual requirements or actual data are presented. Such adjustment, if it exists, means choice of proper values of some parameters, which usually leads to solution of a set of linear or nonlinear equations. When such adjustment is not possible then least squares method gives an alternative.

Keywords: Power Series; Trigonometric Polynomial; Sampling Theorem; Lagrange Polynomial; Penrose Inverse (search for similar items in EconPapers)
Date: 2011
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:978-0-85729-064-9_7

Ordering information: This item can be ordered from
http://www.springer.com/9780857290649

DOI: 10.1007/978-0-85729-064-9_7

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 2026-06-01
Handle: RePEc:spr:sprchp:978-0-85729-064-9_7