Nonlinear Least Squares Fitting: Difference between revisions

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Created page with "{{Software |Picture=NA.png |Version=1.5 (1994-02-11) |Author= |Vendor= |License=Freeware. Discontinued |Download={{FileLink|NonlinearLeastSquaresFitting_1-5.zip}} |Website= }} Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n). Category:Freeware Category:Analysis"
 
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|Picture=NA.png
|Version=1.5 (1994-02-11)
|Version=1.5 (1994-02-11)
|Author=
|Author=Michael Courtney
|Vendor=
|License=Freeware
|License=Freeware. Discontinued
|Download={{FileLink|NonlinearLeastSquaresFitting_1-5.zip}}
|Download={{FileLink|NonlinearLeastSquaresFitting_1-5.zip}}
|Website=
}}
}}
Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n).
Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n).

Latest revision as of 13:25, 1 April 2025

Nonlinear Least Squares Fitting
Version 1.5 (1994-02-11)
Vendor
Author Michael Courtney
License Freeware
Download NonlinearLeastSquaresFitting_1-5.zip
Website

Non-linear least squares is the form of least squares analysis used to fit a set of m observations with a model that is non-linear in n unknown parameters (m ≥ n).