[SciPy-user] NNLS in scipy

Graeme O'Keefe graeme.okeefe@petnm.unimelb.edu...
Sun Jun 15 17:56:37 CDT 2008

Here is an implementation I put together to solve for x non-negatively  
the system: y = X.x

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On 16/06/2008, at 5:07 AM, Christian Meesters wrote:

> Hi,
> I'd like to perform some "non-negatively constraint least squares"
> algorithm to fit my data, like this:
> Signal = SUM a_i C_i
> where C_i is some simulated signal and a_i the amplitude contributed  
> by
> that simulated signal. Or in terms of arrays, I will have one  
> reference
> array and several arrays of simulated signals. How can find the
> (non-negative) coefficients a_i for each simulated signal array? (All
> negative contributions should be discarded.)
> Is there anything like that in scipy (which I couldn't find)? Or any
> other code doing that?
> Else I could write it myself and contribute, but having some working
> code would be nice, of course.
> Christian
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