u/superfluidvortex
superfluidvortex
superfluidvortex
Assuming you're generating your hulls from sets of points, can't you just combine all of the points and generate the convex hull of that? Making sure to check for overlap before including then?
superfluidvortex
I’m one of those researchers. I’d love an expert pair of eyes to help me understand/debug/improve a broken CUDA fortran code of mine to simulate the Nonlinear Schrodinger equation. Send me a message if this interests you :)
superfluidvortex
Some dude posted it here, thanks!
superfluidvortex
Whilst I thank you, my battery curses you
superfluidvortex
I did, but thanks anyway
superfluidvortex
Excellent, thank you sir!
superfluidvortex
Amazing, thank you! I wish these settings weren't so buried
superfluidvortex
It's mainly just for during workouts, but indeed, RIP
superfluidvortex
Of course! I was inspired by this:
https://www.bonappetit.com/recipe/miso-pesto-with-ramen-noodles?intcid=inline_amp
The butter in the recipe is unnecessary, and I didn't replace it with an alternative, the sauce is rich enough as it is. I also didn't use salt (miso adds enough for me)
I changed the thinner noodles out for the udon as I prefer the texture and added birds eye chilli for heat (2-3 birds eye blended into the sauce in addition to the topping)
Enjoy!
superfluidvortex
SimCopter
superfluidvortex
Spooky action at a distance
superfluidvortex
Chris Hemsworth isn't looking his best here
superfluidvortex
I'm terribly sorry for the late response on this. Let me also start by saying thank you for such a thoughtful, eloquent and helpful response!
What you suggest is great and actually works as a simpler implementation of the Laplacian for testing inside fortran then I previously had so thank you very much :)
Unfortunately though, you are right, that transformation was chosen for a reason. Performing spectral derivatives is far more accurate than any central difference methods and for my use-case is somewhat essential.
In any case, thank you, kind sir :)
superfluidvortex
There is an actual tutorial in the documentation: here
Edit: simply x=a\b would suffice since this uses LU decomposition behind the scenes
superfluidvortex
Can someone remove this moron's spam?
superfluidvortex
Thanks for the copy, look forward to working through it!
it hurts, but you have to manage your expectations, that's a generous v4 at best, devalues your future achievements to pretend otherwise. Great effort though!