Hi,
On Sun, Aug 10, 2014 at 11:41 PM, Ralf Gommers wrote:
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> On Mon, Aug 11, 2014 at 8:39 AM, Ralf Gommers
> wrote:
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>> On Sat, Aug 9, 2014 at 5:04 AM, David Cournapeau
>> wrote:
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>>> On Sat, Aug 9, 2014 at 10:41 AM, Matthew Brett
>>> wrote:
Hi,
>>
On Mon, Aug 11, 2014 at 8:39 AM, Ralf Gommers
wrote:
>
>
>
> On Sat, Aug 9, 2014 at 5:04 AM, David Cournapeau
> wrote:
>
>>
>>
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>> On Sat, Aug 9, 2014 at 10:41 AM, Matthew Brett
>> wrote:
>>
>>> Hi,
>>>
>>> I would be very happy of some help trying to work out a numpy package
>>> binary incom
On Sat, Aug 9, 2014 at 5:04 AM, David Cournapeau wrote:
>
>
>
> On Sat, Aug 9, 2014 at 10:41 AM, Matthew Brett
> wrote:
>
>> Hi,
>>
>> I would be very happy of some help trying to work out a numpy package
>> binary incompatibility.
>>
>> I'm trying to work out what's happening for this ticket:
>
2014-08-08 16:37 GMT+02:00 Eelco Hoogendoorn :
> Do it in pure numpy? How about copying the source of numdifftools?
>
Of course it is a solution. I was just wondering if it exist something
similar in the numpy/scipy packages so I do not have to use a new third
party library to do that.
> What e
2014-08-08 11:51 GMT+02:00 Jose Gomez-Dans :
> Your function looks fairly simple to differentiate by hand, but if you
> have access to the gradient (or you estimate it numerically using
> scipy...), this function might do the job:
>
> def hessian ( x, the_func, epsilon=1e-8):
> """Numerical ap
