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 from a user perspective.

As to vecmat doing hermitian conjugation of the vector argument --- I'd be in favor (because <\psi | \hat H | \psi>) but this is a weak preference.

ср, 24 янв. 2024 г., 21:28 Marten van Kerkwijk <mhvk@astro.utoronto.ca>:

> 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 vectors, so I think the case for matvec is similarly strong as
that for matmul and vecdot.

Arguably, vecmat is slightly less common, though completes the quad.

-- Marten

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