Very cool, congrats to discovering what appears to be next-level modeling, and thanks for sharing...always glad to get a look under the hood.
So, the bullet points are:
- CNFB is as accurate as existing integration methods with far less computational requirements (almost half)
- CNFB is far less error prone
- CNFB is easier (ie: less thinky-pain heh) and quicker to implement then existing methods
- the more nodes you add, the advantages of CNFB are increased; talk about being able to scale up with impunity!
It seems that there will be major, tangible benefits in store for us Fractal users going forward; freeing up CPU, easier on Cliff's brain (always a good thing!!), faster development of newer modeling (which may also open up new and wonderful ways of modeling), and potential new discoveries and 'ah-ha' moments that can be implemented/tested much easier and quicker.
Awesome. Simply awesome. To be able to achieve the same accuracy of existing methods in almost 1/2 the time is a major accomplishment, not to mention the other big wins here. I always admire your persistence and drive Cliff....it's what keeps us coming back for more. Knowing how you do things, I'd think there is even more optimization to be had here (???).
This is very exciting news, big time. I can't wait to see what comes of it...
I know it's in the early stages, but can you tell us where your heading with this, and/or what we might expect, in general, to eventually show up on our devices?
... please
