On Thu, Mar 7, 2013 at 9:22 AM, eat wrote:
> Hi,
>
> On Thu, Mar 7, 2013 at 1:52 AM, Jaime Fernández del Río <
> jaime.f...@gmail.com> wrote:
>
>> On Tue, Mar 5, 2013 at 5:23 AM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>>
>>> On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernánde
On Wed, Mar 6, 2013 at 4:52 PM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Tue, Mar 5, 2013 at 5:23 AM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
>> jaime.f...@gmail.com> wrote:
>>
>>> On Mon, Mar 4
On Tue, Mar 5, 2013 at 5:23 AM, Charles R Harris
wrote:
>
>
> On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
> jaime.f...@gmail.com> wrote:
>
>> On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>> There are actually seven versions of polyn
Jaime,
If you are going to work on this, you should also take a look at the recent
thread
http://mail.scipy.org/pipermail/numpy-discussion/2013-February/065649.html,
which is about the weighting function, which is in a confused state in the
current version of polyfit. By the way, Numerical Recipe
On Tue, Mar 5, 2013 at 6:23 AM, Charles R Harris
wrote:
>
>
> On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
> jaime.f...@gmail.com> wrote:
>
>> On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris <
>> charlesr.har...@gmail.com> wrote:
>>
>>>
>>> There are actually seven versions of polyn
On Tue, Mar 5, 2013 at 12:41 AM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>> There are actually seven versions of polynomial fit, two for the usual
>> polynomial basis, and one each for Lege
On Mon, Mar 4, 2013 at 8:37 PM, Charles R Harris
wrote:
>
> There are actually seven versions of polynomial fit, two for the usual
> polynomial basis, and one each for Legendre, Chebyshev, Hermite, Hermite_e,
> and Laguerre ;)
>
Correct me if I am wrong, but the fitted function is the same regard
On Mon, Mar 4, 2013 at 5:23 PM, Jaime Fernández del Río <
jaime.f...@gmail.com> wrote:
> A couple of days back, answering a question in StackExchange (
> http://stackoverflow.com/a/15196628/110026), I found myself using
> Lagrange multipliers to fit a polynomial with least squares to data, making
On Mon, Mar 4, 2013 at 5:53 PM, Aron Ahmadia wrote:
> Interesting, that question would probably have gotten a different response
> on scicomp, it is a pity we are not attracting more questions there!
>
> I know there are two polyfit modules in numpy, one in numpy.polyfit, the
> other in numpy.pol
On Mon, Mar 4, 2013 at 4:53 PM, Aron Ahmadia wrote:
> Interesting, that question would probably have gotten a different response
> on scicomp, it is a pity we are not attracting more questions there!
>
> I know there are two polyfit modules in numpy, one in numpy.polyfit, the
> other in numpy.pol
Interesting, that question would probably have gotten a different response
on scicomp, it is a pity we are not attracting more questions there!
I know there are two polyfit modules in numpy, one in numpy.polyfit, the
other in numpy.polynomial, the functionality you are suggesting seems to
fit in e
A couple of days back, answering a question in StackExchange (
http://stackoverflow.com/a/15196628/110026), I found myself using Lagrange
multipliers to fit a polynomial with least squares to data, making sure it
went through some fixed points. This time it was relatively easy, because
some 5 years
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