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Non-linear Curve Fitting
Mälardalen University, School of Education, Culture and Communication.
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The work done in this thesis is to examine various methods for curve fitting. Linear least squares and non-linear least squares will be described and compared, and the Newton method, Gauss--Newton method and Levenberg--Marquardt method will be applied to example problems.

Abstract [sv]

Syftet med denna uppsats är att beskriva och använda olika metoder för kurvanpassning, det vill säga att passa matematiska funktioner till data. De metoder som undersöks är Newtons metod, Gauss--Newton metoden och Levenberg--Marquardt metoden. Även skillnaden mellan linjär minsta kvadrat anpassning och olinjär minsta kvadrat anpassning. Till sist tillämpas Newton, Gauss Newton och Levenberg--Marquardt metoderna på olika exempel.

Place, publisher, year, edition, pages
2019. , p. 49
Keywords [en]
Curve Fitting, Power-exponential function, Gauss-Newton algorithm, Levenberg-Marquardt algorithm, Linear and non-linear curve fitting
Keywords [sv]
Kurvanpassning, Potens-exponential funktion, Gauss-Newton-algoritm, Levenberg-Marquardt-algoritm, Linjär och ickelinjär kurvanpassning
National Category
Other Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-43600OAI: oai:DiVA.org:mdh-43600DiVA, id: diva2:1320132
Subject / course
Mathematics/Applied Mathematics
Presentation
2019-05-22, U3-083, Högskoleplan 1, Västerås, 10:54 (Swedish)
Supervisors
Examiners
Available from: 2019-06-10 Created: 2019-06-04 Last updated: 2019-06-10Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf