The subscript of the matrix family adds too much vertical space. This
offsets that to restore it to about what it otherwise would be, since the
second subscript does not get in the way.
This defines @as and @yields, but does not yet define matches formally.
It's also missing index entries, which I'll take the time to add after I'm
sure things are staying as they are.
This was quite a bit of work, and the approach I took is different than I
originally expected, so Section 0 can use some cleanup.
There is more to come from here.
This is going to evolve a great deal, and note that the yield definition is
completely absent.
It may be time to switch to natural deduction (Gentzen-style).
This will be used as an IR of sorts to eliminate the XML, which will be far
too verbose to use in proofs. It also allows us to attach behavior to the
operator, which will end up defining two values for @as and @yields.
The previously-existing notation for this has been removed. These will be
updated soon to account for vectors and matrices, but until then, this is
simply nonsense.
This is an unnecessary feature to maintain right now. I will include
symbols at the very beginning of the index, which is common in mathematics
texts, and may will add a table of common symbols in the future.
There's a lot of change that's likely going to take place with this thing,
but it's a start. The abstract summarizes the purpose of this---to formally
define TAME in terms of algebra, first-order logic, and [ZFC] set theory.
This came about while working on compiler changes and optimizations, since
it's difficult to ensure correctness (and discover further optimizations)
without being able to formally define the language. The focus at the moment
is the classification system rewrite, which can be expressed in terms of
first order logic and set theory.
This commit contains essentially a POC with some carefully chosen
mathematical foundations (abstractions of which are subject to change) and a
basic representation of a subset of the classification system for scalars.
Mike Gerwitz