On Sat, Mar 29, 2014 at 8:55 AM, wrote:
> On Sat, Mar 29, 2014 at 7:31 AM, wrote:
> > On Sat, Mar 29, 2014 at 12:12 AM, Jaime Fernández del Río
> > wrote:
> >> Hi,
> >>
> >> I have submitted a PR (https://github.com/numpy/numpy/pull/4568) that
> speeds
> >> up `np.vander` by using accumulated
On Sat, Mar 29, 2014 at 7:31 AM, wrote:
> On Sat, Mar 29, 2014 at 12:12 AM, Jaime Fernández del Río
> wrote:
>> Hi,
>>
>> I have submitted a PR (https://github.com/numpy/numpy/pull/4568) that speeds
>> up `np.vander` by using accumulated multiplication instead of exponentiation
>> to compute the
On Sat, Mar 29, 2014 at 12:12 AM, Jaime Fernández del Río
wrote:
> Hi,
>
> I have submitted a PR (https://github.com/numpy/numpy/pull/4568) that speeds
> up `np.vander` by using accumulated multiplication instead of exponentiation
> to compute the Vandermonde matrix. For largish matrices the speed
Hi,
I have submitted a PR (https://github.com/numpy/numpy/pull/4568) that
speeds up `np.vander` by using accumulated multiplication instead of
exponentiation to compute the Vandermonde matrix. For largish matrices the
speed-ups can be quite dramatic, over an order of magnitude.
Julian has raised
