[scilab-Users] lsqrsolve

[Gary Nelson]

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