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## [Help-gsl] Re: Re: non-linear least squares fitting

**From**: |
Richard Henwood |

**Subject**: |
[Help-gsl] Re: Re: non-linear least squares fitting |

**Date**: |
Thu, 06 Dec 2007 09:21:09 +0000 |

**User-agent**: |
KNode/0.10.4 |

<posted & mailed>
Barrett Foat wrote:
>*> I implement fdf using numerical partial differentiation of f.*
>*>*
>*> This method (numerical partial differentials) appeared to work;*
>*> is this a reasonable approach?*
>* *
>* Yes, the df and fdf functions need to caluclate the numerical partial*
>* derivatives given the current values of the arguments (vector x in the*
>* docs) and your independent variable data.*
>* *
>* To my knowledge, the approach you took is the only reasonable approach.*
>* *
Good.
Is the only alternative approach to use the analytic partial derivatives in
df and fdf?
My reading is that this approach is used in the example given in the GSL
manual example.
r,

**[Help-gsl] non-linear least squares fitting**, *Jay Howard*, `2007/12/04`
**Re: [Help-gsl] non-linear least squares fitting**, *Barrett C. Foat*, `2007/12/04`
**Re: [Help-gsl] non-linear least squares fitting**, *Jay Howard*, `2007/12/04`
**Re: [Help-gsl] non-linear least squares fitting**, *Barrett C. Foat*, `2007/12/05`
**Re: [Help-gsl] non-linear least squares fitting**, *Jay Howard*, `2007/12/05`
**Re: [Help-gsl] non-linear least squares fitting**, *Barrett Foat*, `2007/12/05`
**Re: [Help-gsl] non-linear least squares fitting**, *Jay Howard*, `2007/12/05`
**[Help-gsl] Re: non-linear least squares fitting**, *Richard Henwood*, `2007/12/05`
**Re: [Help-gsl] Re: non-linear least squares fitting**, *Barrett Foat*, `2007/12/05`
**[Help-gsl] Re: Re: non-linear least squares fitting**,
*Richard Henwood* **<=**
**Re: [Help-gsl] Re: Re: non-linear least squares fitting**, *Barrett C. Foat*, `2007/12/06`
**Re: [Help-gsl] Re: Re: non-linear least squares fitting**, *Jay Howard*, `2007/12/07`
**Re: [Help-gsl] Re: Re: non-linear least squares fitting**, *Barrett C. Foat*, `2007/12/10`