On Mon, 2024-01-22 at 17:08 -0700, Nathan wrote:
> Hi all,
>
> I propose we accept NEP 55 and merge PR #25347 implementing the NEP
> in time
> for the NumPy 2.0 RC:
I really like this work and I think it is a big improvement! At this
point we probably have to expect some things to be still bugg
Hi,
In the `numpy.polynomial.chebyshev` module, the function for raising a
Chebyshev polynomial to a power, `chebpow` [1], is essentially implemented in
the following way:
{{{#!highlight python
def chebpow(c, pow):
"""Raise a Chebyshev series to a power."""
zs = _cseries_to_zseries(
On Wed, Jan 24, 2024 at 6:29 AM Fabio Matti
wrote:
> Hi,
>
> In the `numpy.polynomial.chebyshev` module, the function for raising a
> Chebyshev polynomial to a power, `chebpow` [1], is essentially implemented
> in the following way:
>
> {{{#!highlight python
> def chebpow(c, pow):
> """Raise
On Wed, Jan 24, 2024 at 10:43 AM Sebastian Berg
wrote:
> On Mon, 2024-01-22 at 17:08 -0700, Nathan wrote:
> > Hi all,
> >
> > I propose we accept NEP 55 and merge PR #25347 implementing the NEP
> > in time
> > for the NumPy 2.0 RC:
>
>
> I really like this work and I think it is a big improvement
Why do these belong in NumPy? What is the broad field of application of
these functions? And, does a more general concept underpin them?
Thanks, Alan Isaac
On Tue, Jan 23, 2024 at 5:17 PM Marten van Kerkwijk
wrote:
> Hi All,
>
> I have a PR [1] that adds `np.matvec` and `np.vecmat` gufuncs for
>
> Why do these belong in NumPy? What is the broad field of application of these
> functions? And,
> does a more general concept underpin them?
Multiplication of a matrix with a vector is about as common as matrix
with matrix or vector with vector, and not currently easy to do for
stacks of vector
FWIW, +1 for matvec & vecmat to complement matmat (erm, matmul). Having a
binop where one argument is a matrix and the other is a stack/batch of
vectors is indeed awkward otherwise, and a dedicated function to clearly
distinguish "two matrices" from "a matrix and a batch of vectors" sounds
great fr
On Wed, 24 Jan 2024 at 19:29, Marten van Kerkwijk
wrote:
>
> > Why do these belong in NumPy? What is the broad field of application of
> > these functions? And,
> > does a more general concept underpin them?
>
> Multiplication of a matrix with a vector is about as common as matrix
> with matrix o
On Wed, Jan 24, 2024 at 2:27 PM Marten van Kerkwijk
wrote:
> > Why do these belong in NumPy? What is the broad field of application of
> these functions? And,
> > does a more general concept underpin them?
>
> Multiplication of a matrix with a vector is about as common as matrix
> with matrix or
> FWIW, +1 for matvec & vecmat to complement matmat (erm, matmul). Having a
> binop where one argument is a matrix and the other is a
> stack/batch of vectors is indeed awkward otherwise, and a dedicated function
> to clearly distinguish "two matrices" from "a matrix and a
> batch of vectors" sou
> Could you please offer some code or math notation to help communicate this?
> I am forced to guess at the need.
>
> The words "matrix" and "vector" are ambiguous.
> After all, matrices (of given shape) are a type of vector (i.e., can be added
> and scaled.)
> So if by "matrix" you mean "2d array
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