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FindFit

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  FindFit sathyanarayana <sathyapaladugu@gmail.com> - 2011-06-05 11:04 +0000
    Re: FindFit Gary Wardall <gwardall@gmail.com> - 2011-06-10 10:38 +0000
    Re: FindFit Gary Wardall <gwardall@gmail.com> - 2011-06-10 10:39 +0000
    Re: FindFit SigmundV <sigmundv@gmail.com> - 2011-06-14 10:13 +0000

#2956 — FindFit

Hi,

I have experimental data as y=f(x)

and I need to fit using Levenberg-Marquardt method

my model looks like  y=f1(t) and x=f2(t)

I would really appreciate any help on this
issue


sathyanarayana
paladugu_sathya@yahoo.com

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#3048

On Jun 5, 6:04 am, sathyanarayana <sathyapalad...@gmail.com> wrote:
> Hi,
>
> I have experimental data as y=f(x)
>
> and I need to fit using Levenberg-Marquardt method
>
> my model looks like  y=f1(t) and x=f2(t)
>
> I would really appreciate any help on this
> issue
>
> sathyanarayana
> paladugu_sat...@yahoo.com

Sathyanarayana,

I'm not so sure that the Levenberg-Marquardt method can be applied
generally. I think that your model has to be intrinsically linear.
Could you be more specific with your model. I might be of some help.

Thanks

Gary

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#3049

On Jun 5, 6:04 am, sathyanarayana <sathyapalad...@gmail.com> wrote:
> Hi,
>
> I have experimental data as y=f(x)
>
> and I need to fit using Levenberg-Marquardt method
>
> my model looks like  y=f1(t) and x=f2(t)
>
> I would really appreciate any help on this
> issue
>
> sathyanarayana
> paladugu_sat...@yahoo.com

Sathyanarayana,

I spoke too soon. I think the Levenberg-Marquardt method can be
applied to nonlinear problems. I still would like to see a more
specific model.

Gary

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#3090

On Jun 5, 1:04 pm, sathyanarayana <sathyapalad...@gmail.com> wrote:
> Hi,
>
> I have experimental data as y=f(x)
>
> and I need to fit using Levenberg-Marquardt method
>
> my model looks like  y=f1(t) and x=f2(t)
>
> I would really appreciate any help on this
> issue
>
> sathyanarayana
> paladugu_sat...@yahoo.com

Sathyanarayana,

Your problem description as slightly ambiguous. I take it that you
have a list of x coordinates, generated from a function f2(t), and a
list of y coordinates generated from a function f1(t). You then want
to fit a model f to the data. What's your upshot of a model? Did I
understand your problem correctly?

Once you have a model you want to fit, you can use Mathematicas
FindFit function, which takes the option Method ->
"LevenbergMarquardt".

Sigmund

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