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12-Amethyst

## Modification and/or calibration function.

Hi all. I've implemented a model that needs 13 inputs parameters to work.  Now, I am trying to change these 13 input parameters to get simulation results of this model close to experimental results. Actually, I need to play with these 13 parameters so as the simulation results and experimental results fit (a really hard work by hand). I don't know what should I do? I wonder if somebody can give me some advice. Is there any calibration or modification function and/or software that I can use for this purpose? best,

Physical Mathematics

7 REPLIES 7
23-Emerald III
(To:mzarrabi)
Sounds like 13 equations and 13 unknowns. You should be able to have Mathcad solve that.
Where's the worksheet?

Luc
16-Pearl
(To:mzarrabi)

Would Minerr help?  In this example Z is a function that is the output you are after.  Z_data is a set of data.  Mathcad optimizes the variables to find the minimum error.

23-Emerald I
(To:DJF)

I'm sorry, but aren't your two weightings the same?

Some simple algebra manipulation of "Normalized weighting' results in "Natural weighting."

What did I miss?

You are right, one good approach (especially with emperical data) is Minerr!

Except that nothing actually equals zero since it's (in my case) a fit of data.  We're just trying to get close to zero.   I certainly get different answers with the two methods.

23-Emerald I
(To:DJF)

Might also try

Fn_data/Data = 1

That gives the same result as the 'normalized.'  And that makes sense because they are the same equation.

7-Bedrock
(To:mzarrabi)

Maybe, are you looking for some fitting routine(s)? Attached is P3.1 sheet for your reference.

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