Hi everyone,
I want to vectorize multiple matrix-vector products and avoid a for
loop, a little bit like np.linalg.solve does, for instance :
/nDOF = 100//
//M = 4//
//
//mat = np.random.rand(nDOF, M, M)//
//u = np.random.rand(nDOF, M)/
/vecMatInv = np.linalg.solve(mat, u) # => shape (nDOF,
On Wed, Dec 21, 2022 at 12:04 PM Andrew Nelson wrote:
> On Wed, 21 Dec 2022 at 20:40, Matti Picus wrote:
>
>> Maybe we should have a scientific-python wide discussion of what
>> platforms we wish to support, like NEP 29 for python versions. The NEP
>> should include some mechanism for adding new
On Wed, 21 Dec 2022 at 20:40, Matti Picus wrote:
> Maybe we should have a scientific-python wide discussion of what
> platforms we wish to support, like NEP 29 for python versions. The NEP
> should include some mechanism for adding new platforms. It doesn't make
> sense to me to be testing someth
On 21/12/22 06:41, Andrew Nelson wrote:
On Wed, 21 Dec 2022 at 07:29, Andrew Nelson wrote:
In https://github.com/scipy/scipy/issues/17630 we're seeing some
issues (amongst others) with the scipy test suite that uses
numpy==1.24.0 on musllinux.
I was wondering if numpy would l
