On Thu, May 12, 2011 at 9:41 PM, Sherjil Ozair <sherjiloz...@gmail.com> wrote:
> I see. This doesn't seem very difficult. It boils down to adding more types
> to the groundtypes list.
> From an algorithmic point of view, all the algorithms need to know about the
> groundtypes, other than support for the 4 basic operations, is their support
> of the .is_zero function.
> The groundtypes that you mention, Aaron, have been implemented by mattpap in
> polys, along with the .is_zero functions.
> So that doesn't seem to be a problem.
> Has ZZ<sqrt(2)> been implemented by mattpap ?

Yeah, at least to some extent.  He could tell you more about what is
there and what isn't yet.

> Aaron, other than this, what do you think about the class structure ? How do
> you think one should intelligently emulate Polys for the purpose of speeding
> up matrices ?

Well, I'm not highly familiar with the data structures and algorithms
of matrices, but if it is designed like the polys, it should be good
(or at least on the right track).  I would ask the following questions
about the design to see if it is good:

- Is it easy to add new types at each level (ground types,
representations of matrices (sparse, dense, etc.), etc.) in a way that
does not require extending or even touching the others?

- Is it easy to convert an object of one type to an object of a
different type on the same level (like sparse => dense)?  This is one
case where I think the objects will have to know about each other.

- If we are going to have some kind of ImmutableMatrix that can play
nicely with Expr, how will that work with all of this?

That's all I can think of for right now.

Aaron Meurer

>
> On Fri, May 13, 2011 at 7:27 AM, Aaron Meurer <asmeu...@gmail.com> wrote:
>>
>> Yes, the "general expressions" meant Expr objects.  But I think you
>> should allow more advanced fields than just QQ like the coefficient
>> fields in the Polys, things like ZZ(x), or even ZZ<sqrt(2)> (if you
>> reuse code from the polys, it should be easy to do anything that the
>> polys support).  ZZ(x) is easier to work with than a general
>> expression, for example, you can tell if an element of ZZ(x) is zero
>> just by rewriting it as p/q, where p and q are expanded polynomials.
>> On the other hand, the zero equivalence problem is in general not
>> solvable for general Expr expressions, and even for those for which we
>> can solve it, it can be computationally expensive, involving calls to
>> things like trigsimp().  This simplifies the logic and correctness of
>> things like rref.
>>
>> There's a place in my Risch code where I manipulate matrices of
>> rational functions, and call things like .rref() and .nullspace() on
>> them, and it's essential that rref() is correct.  In my case, I just
>> have it call cancel() (I had to modify .rref() to allow a custom
>> simplification function).  By the way, if we had a Frac() class to
>> complement Poly for rationaal functions, you could just support that
>> in the matrices (that might be easier than trying to support the polys
>> coefficient field classes directly).
>>
>> Aaron Meurer
>>
>> On Thu, May 12, 2011 at 7:11 PM, SherjilOzair <sherjiloz...@gmail.com>
>> wrote:
>> > By 'rational function terms' and'general expression terms' do you mean
>> > that a matrix should take Expr objects as elements ?
>> > Of course, I missed to add it in the list of groundtypes. Felt it was
>> > obvious.
>> >
>> > On May 13, 4:53 am, Aaron Meurer <asmeu...@gmail.com> wrote:
>> >> I think a Matrix could also have, for example, rational function
>> >> terms, and also you want to be able to support general expression
>> >> terms.  How would that fit in your model?
>> >>
>> >> Aaron Meurer
>> >>
>> >>
>> >>
>> >>
>> >>
>> >>
>> >>
>> >> On Thu, May 12, 2011 at 5:51 PM, Sherjil Ozair <sherjiloz...@gmail.com>
>> >> wrote:
>> >> > Hello everyone,
>> >> > I took ideas from mattpap's thesis at [1], specifically the idea of
>> >> > multi
>> >> > level structure.
>> >> > The hierarchy I have in mind is
>> >> > Level 0 : A collection of functions that operate on groundtypes(GMPY,
>> >> > Python, Sympy).
>> >> > Functions of this layer will receive the Matrix data as arguments.
>> >> > Function names will be prefixed with identifiers as to which data
>> >> > structure
>> >> > it works on.
>> >> > This layer is unaware of Matrix classes.
>> >> > Functions of this level can only call functions of the same level.
>> >> > All the algorithms for factorization, etc. will be implemented in
>> >> > this
>> >> > level.
>> >> > Level 1 : A collection of classes like DOKMatrix, COOMatrix,
>> >> > DenseMatrix,
>> >> > etc.
>> >> > The data structure is defined in this class.
>> >> > This class will have user functions which use the functions of level
>> >> > 0.
>> >> > Level 2 : The Matrix class
>> >> > These class which will return one of the class of level 1 using the
>> >> > __new__
>> >> > function.
>> >> > This idea is still unformed. I invite comments to help me evolve this
>> >> > idea.
>> >> > Ask if you feel something is not clear.
>> >>
>> >> > [1] http://mattpap.github.com/masters-thesis/html/src/internals.html
>> >>
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