Impossible to create row vectors about linalg HOT 5 CLOSED

vec<T,1> and mat<T,1,N> are defined in the v3 branch.

For the time being, since mul(v, m) isn't available, you can use mul(transpose(m), v) as a workaround.

I'm going to keep this issue open nonetheless to remind myself to implement the (row-)vector * matrix in the v3 branch. Thank you for your interest in linalg.

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Is it just me or is matrix multiplication missing from v3 tho?

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Ah, looks like I forgot to follow up with you on this. My apologies.

I wound up back-porting most of the interesting functionality from the v3 branch onto v2 some time ago in a backwards-compatible way. Among this functionality was the vec<T,1> and mat<T,M,1> specializations needed for this sort of functionality.

For the time being, however, I think I will continue to omit vector x matrix multiplications. There are several parts of linalg, notably the matrix factory functions and the functions for round-tripping between rotation matrices and quaternions, which assume that transformations will be performed using column vectors. As I don't have a good mechanism in place to explicitly mark which functions depend on column semantics and which do not, it feels semantically clearest to continue to treat vec<T,M> as equivalent to mat<T,M,1> when it comes to matrix multiplication, etc.

However, there's nothing inconsistent about treating vec<T,M> the same way for the transpose(...) function, so I've added that overload. If you require row-vector x matrix multiplication for whatever reason, mul(tranpose(v), m) will carry out the desired operation, though it will yield a result which is a single-row matrix.

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Thanks for following up :) Hopefully it will be useful for someone, even as I've personally moved on.

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