new core

So the new core was added by the SymPy crew and it seems much faster than before - at least according to my test cases. Mateusz tells me my module worked out-of-the-box, which is always nice to hear.

I managed to put together a nice (in my opinion) tutorial for my linear algebra pack. Though I will say the inability to have a table of contents of html anchors make it very hard to read and navigate the page. This is usually something quite easily done in a wiki.

The tutorial brought to light a couple of stupid mistakes and inconsistencies I had made so it was helpful in the debug process too.

I'm thinking block LU decomp next week, kind of an advanced thing as we come to the end of the project....

Back to bugs

Had to write some extra code for reducing to row echelon form but now it seems like my eigenvalues and eigenvector functions work properly (with help from Robert's nice polynomial work).

So it's back to that pesky expression bug from before the midterm evaluation. To recall, for whatever reason my Gram-Schmidt function isn't properly evaluating expressions. Back to the grind...

Midterm evaluation

Well, we're about 1/2-way done now. I guess I'm pretty happy with both my contribution and what I've learned (coding-wise). I think the matrix manipulation functionality is pretty high now, there's an inverter, a different solver, some factorization methods and some other stuff. I guess some of today will be spent filling out this survey.

I guess my next step will be to try and flush out the expression evaluation problem. Then add a bit more new eigenvalue-related functionality. I've been in touch with Robert who has help me out by writing a wrapper for me to use for solving for eigenvalues. Thanks Robert!

After that, who knows? I'm considering adding more matrix types (e.g. integer) with more optimized algorithms behind the scenes but I'll cross that bridge after the eigenvalue dance.