Stephan Rave

Regarding redirection see [Using tqdm when redirecting output?](https://github.com/tqdm/tqdm/issues/506). Sounds like @renefritze will not think of this as a satisfying solution?

> Typer seems to also support progressbars: https://typer.tiangolo.com/tutorial/progressbar/ However, it does not seem to be able to estimate time till completion. I think this is a very useful feature tqdm...

@ftalbrecht: This might also be of relevance for dune-gdt?

I guess for pyMOR, one could simply leave the diagonal entry as it was before boundary handling (which would correspond to the diagonal entry for a Neumann dof).

Sounds nice! While we are at it, we might think about a somewhat more generic hook system. (Although I do not have another real application in mind, however.)

Right now, I cannot remember what I had in mind with this 'hook system'. So, if you have some code lying around, @andreasbuhr, a PR is very welcome.

Since MOR methods work on specific types of `Models`, this should go along with an overview of the existing models in pyMOR.

Not sure how useful that would be. That library only seems to support coo and dok formats. So to use any linear solver, the matrices would have to be converted...

The documentation does not really sound like this is geared at high-performance numerical linear algebra. Something like pytorch might be more useful when dealing with sparse tensors. (For something like...

> Using PyTorch for sparse tensors sounds a bit like overkill to me... Why? As far as I understand it pytorch/tensorflow are basically tensor libraries with some support for automatic...