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 <m...@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 > > > _______________________________________________ > NumPy-Discussion mailing list -- numpy-discussion@python.org > To unsubscribe send an email to numpy-discussion-le...@python.org > https://mail.python.org/mailman3/lists/numpy-discussion.python.org/ > Member address: evgeny.burovs...@gmail.com >
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