Christoph Ruegg

Thank you! I really would like to move forward in this direction, and also have some thoughts already. I'll try to get back to you as soon as time permits!

It turns out there are many different definitions of flat top windows - the one we use seems to be very close to what some Stanford Research spectrum analyzers are...

Hm yes, we should address this before the v5 release.

Related to #172

I assume we do not support m < n in this case since the QR decomposition was mainly provided as a means to solve linear least squares problems, but with...

Thanks for proposing this change! It does indeed likely improve performance on typical use cases. Unfortunately it does seem like this could break in multi-threaded use cases though, i.e. when...

Thanks!

FYI: I've resolved the conflicts and pulled the change into the `ridge-regression` branch (not yet in master).

It is on the list for V3, although the native provider priority is first on handing over the native build process to me and upgrading to MKL 11.1.

- Current v1.4 of the MKL providers is built against MKL 11.1 Update 2 - Native sparse matrix support has been delayed to v3.1 (see milestone attribute on the right;...