OK, you pointed me out two pending PR about the Jordan form.

I worked on mamueller's one and I've merged it with the latest master 
branch. I did not inspect Krastanov's PR yet, but it looks like they are 
clashing against each other.

In mamueller's one the Matrix.exp( ) already works on non-diagonalizable 
matrices, which seems good.

Which PR do you suggest I should look for?

On Monday, July 15, 2013 2:47:59 AM UTC+2, Rick Muller wrote:
>
> You're right. I guess I see the world through a numeric lens that I don't 
> even notice anymore.
>
> On Sunday, July 14, 2013 5:59:47 PM UTC-6, Aaron Meurer wrote:
>>
>> That paper mainly deals with numeric methods, and maintaining 
>> numerical stability, which are not issues for symbolic matrices, but 
>> the Jordan method is described (briefly) as method 16. It does 
>> actually give a closed form for the exponential of a Jordan block, 
>> which can be built much more efficiently by using the form of it than 
>> by taking the powers of the matrices directly. 
>>
>> But maybe some other method there is also useful for symbolic 
>> computation. 
>>
>> Aaron Meurer 
>>
>> On Sun, Jul 14, 2013 at 6:21 PM, Rick Muller <[email protected]> wrote: 
>> > There's a great article from SIAM Review of matrix exponentiation 
>> called 19 
>> > Dubious Ways to Exponentiate a Matrix that's fun reading if people 
>> aren't 
>> > already familiar with it. May have some useful tricks. 
>> > 
>> > 
>> > On Sunday, July 14, 2013 8:35:32 AM UTC-6, F. B. wrote: 
>> >> 
>> >> >>> m = Matrix([[0, 1], [0, 0]]) 
>> >> >>> exp(m) 
>> >> NotImplementedError: Exponentiation is implemented only for 
>> diagonalizable 
>> >> matrices 
>> >> 
>> >> 
>> >> What is the best way to implement the exponentiation for 
>> non-diagonalibale 
>> >> matrices? 
>> >> 
>> >> I thought a way to fix it could be by Taylor expansion (hoping 
>> >> non-diagonalizable matrices over the complexes are nilpotent). 
>> >> 
>> >> Any better ideas? Just suggest me something and I'll try to fix it. 
>> >> 
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