[scilab-Users] lsqrsolve

[ray joseph]

Gary,

I am sorry that I am bypassing your original request; but if you calculate
the mean and standard deviation of your data set, you will get the two
parameters.  Using the solver will be a fun exercise.

Ray

----- Original Message ----- 
From: "Gary Nelson" <gnelson at quantasonics.com>
To: <users at lists.scilab.org>
Sent: Tuesday, May 04, 2010 2:12 PM
Subject: Re: [scilab-Users] lsqrsolve


I would like to fit a gaussian to some data samples using least squares.
The gaussian has two parameters -- amplitude and width (sigma).

I would like to use 6 to 12 samples that span a maximum and provide a first
guess of the amplitude and width.

After reading the manual on lsqsolve, it seems like it will do the job, but
I would appreciate some guidance to make it work.

Thanks

Gary Nelson


On Apr 7, 2010, at 2:12 AM, Samuel Gougeon wrote:

> ----- Message d'origine -----
> De : Maso Ricci
> Date : 31/03/2010 12:18:
>> Hi,
>>
>> I am using the lsqrsolve function to fit some data.
>> I wonder whether lsqrsolve accepts contrains in order to force the
solution to be positive.
>>
>> thanks in advance for any comments and suggestions
> Did you check the leastsq() function based on the optim() one ? Its 'b',
binf, bsup
> sequence of 3 input arguments allow to specify some boundaries.
> So, for instance, if the solution you are searching for is a scalar that
must be positive,
> just set 'b',0,%inf. see help leastsq()
>
> HTH
> Samuel
>
>

Gary Nelson
gnelson at quantasonics.com