closes#2244
- `mnorm` has been renamed to `normalize-matrix`
to reflect what it actually does, which
is normalize a matrix, not find a norm
of a matrix.
- `mnorm` is no longer a word defined here.
- bugfix: previously, `normalize-matrix` found
the supremum of a matrix (`mmax`),
before taking the supremum's absolute
value (`abs`) and dividing the matrix
by it (`m/n`).
for matrices containing only negative
values and 0, the supremum is 0, and
a `div-by-zero` error was thrown.
`normalize-matrix` has been fixed to
first `abs` all the matrix elements,
and then find the supremum and divide,
it also receieved a zero-matrix? guard
for optimization and preventing
`div-by-zero`.
- new alias: `hilbert-schmidt-norm` for
`frobenius-norm`, to go along with
`math.matrices.extras.<hilbert-matrix>`
and improve searchability by physicists.
- new word: `matrix-p-norm`, written as an
analogue of `math.vectors.p-norm`.
- new word: `matrix-p-q-norm`, which generalizes
entrywise matrix norm over the L^p,q
vector space.
- new word: `matrix-p-norm-entrywise`:
`matrix-p-norm`'s fallback
for p =/= 1, 2, inf; analogue of
`math.vectors.p-norm-default`.
- all norm words have gotten new docs,
`zero-matrix?` guards as an optimisation,
and most have gotten new tests.
1e5bd820f8