Closed jlperla closed 6 years ago
Also, worth looking through the examples using the prototype interface in https://nbviewer.jupyter.org/github/MSeeker1340/PDERoadmap/blob/operator_interface_prototype/Discretizing%20Linear%20Operators.ipynb to look for inconsistencies.
Note that these tasks do not implement the #7 notation, and the equation numbers may be off. However, I think that made a few of the changes above when implementing the notation fix.
@stevenzhangdx @FernandoKuwer I think this issue is almost complete. I am closing out the affine relations in the issue list for now. There is a good chance that those parts of the algebra would change if #13 ends up working... Which may be a precursor for jump diffusion processes.
I would go through the rest of the issue and close it if you think you have done everything else. Luckily, our notation and most of Section 2 seems to survive if we do the #13 approach, but that is too be proven.
NOTE: Made a few additions to the list. I have made many of the changes in #2 from @ChrisRackauckas
A few more to take care of. I have modified equation numbers from the #2 post to refer to the latest version:
\nonumber
, since inevitably you want to refer to the equation in a comment and you don't have a number for it!^ud = LQu
What you actually want to solve has uhat on both sides, which is why there's Q (since then you know the derivative of all of the quantities you're solving for!). Ping him if this is unclear...in an iterative solver converge to...
doesn't make sense to me. I believe this came from something @ChrisRackauckas wrote, so you can ask him to clarify given the iterated notation.TODO
in the document to see some other tasks and questions. There are some things where matrices don't conform, and I suspect a mistake is there.