esoteric1

12-19-2005, 05:27 PM

I original posted this thread in the hardware/technology forum with no response and wish I had posted it here instead so here goes.

Sorry for the slop: I cut/pasted this from my original post and was short on time but I think my idea still conveys.

I was wondering (and this is WAY beyond my scope of work) if anyone within the CG programming area has thought about implimenting any of Stephen Wolfram's work into their designs?

I can imagine a superior statistical sampling (aka Monte Carlo'ish) method(s) to use for the integration/sampling of data (3d-space and matter)... Well I guess it really would'nt even be quasi-Monte Carlo because it would follow patterns (haven't got that far yet) of the "new math"

I think because of the nature of the calculations regarding these patterns. Imagine it sort of being like the pattern the claculations follow (instead of being pseudo-random) would be similar to procedural fractal patterns. These calculations when applied with Wolfram's "New Science" would be simple, just highly recursive.

This probably could enable REALLY quick Global Illumination renders by using a new method to "fill" in sampling areas/locations by following some of his newly discovered patterns that are like fractals sorta... Their called cellular automata and basically tell us how nature is formed and how it formed itself.

Now GI uses either an error tolerence or a Montecarlo method which is a method that uses pseudo-random numbers as a starting point for the sampling engine to grow from... Well my idea would use Wolfram's simple rules in a highly recursive method to "fill in the grid" instead of the Montecarlo method. I think that because the way this new science works (very simple rules over millions of cycles) instead of heavy vector calculus would speed up GI renders quite a bit...

Anyone wanna help me try to get some stats? On wolfram's website he has a program to explore this more... I'm just an idealist with very light programming skills that has'nt programmed in ages although I used to write a little assembly on my Apple //e... LOL!

peace and merry Christmas!

Sorry for the slop: I cut/pasted this from my original post and was short on time but I think my idea still conveys.

I was wondering (and this is WAY beyond my scope of work) if anyone within the CG programming area has thought about implimenting any of Stephen Wolfram's work into their designs?

I can imagine a superior statistical sampling (aka Monte Carlo'ish) method(s) to use for the integration/sampling of data (3d-space and matter)... Well I guess it really would'nt even be quasi-Monte Carlo because it would follow patterns (haven't got that far yet) of the "new math"

I think because of the nature of the calculations regarding these patterns. Imagine it sort of being like the pattern the claculations follow (instead of being pseudo-random) would be similar to procedural fractal patterns. These calculations when applied with Wolfram's "New Science" would be simple, just highly recursive.

This probably could enable REALLY quick Global Illumination renders by using a new method to "fill" in sampling areas/locations by following some of his newly discovered patterns that are like fractals sorta... Their called cellular automata and basically tell us how nature is formed and how it formed itself.

Now GI uses either an error tolerence or a Montecarlo method which is a method that uses pseudo-random numbers as a starting point for the sampling engine to grow from... Well my idea would use Wolfram's simple rules in a highly recursive method to "fill in the grid" instead of the Montecarlo method. I think that because the way this new science works (very simple rules over millions of cycles) instead of heavy vector calculus would speed up GI renders quite a bit...

Anyone wanna help me try to get some stats? On wolfram's website he has a program to explore this more... I'm just an idealist with very light programming skills that has'nt programmed in ages although I used to write a little assembly on my Apple //e... LOL!

peace and merry Christmas!