algorithmic modeling for Rhino

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Comment by AJ on July 1, 2016 at 8:53am

hi there Daniel

so i have no clue what u have done here

could u please explain. very nice work :)

Comment by Daniel González Abalde on January 30, 2015 at 5:33am

For each point ->value zero and replace it small islands ->value 1.
For each point you collect many neighbors, the nearest half of their values = AD, all neighboring values =ID, w is a factor.
If AD - w*ID > 0 the point value will be 1.

If AD - w*ID < 0 the point value will be 0.
It is a very simple and fast rule but gives similar results (somewhat similar) to the Turing patterns.

Comment by Christian Schmidts on January 30, 2015 at 4:41am

beauty! what is young's method?

Comment by Daniel González Abalde on January 30, 2015 at 4:09am

Thanks guys!
I tried to play with kangaroo, but make a loop with zombie kangaroo is not more efficient than done moving points and reconstructing the mesh, furthermore the method of Young uses only 1 and 0, and the result is not very elegant as can be see. But I have almost finished a script with the method of Gray-Scott, but something goes wrong with the Laplace operator... I hope to have news soon!

Comment by David Stasiuk on January 30, 2015 at 12:29am

It would be fun with these to inform some kangaroo inflation forces. Nice work!

Comment by Nick Tyrer on January 29, 2015 at 9:45am

These are really fascinating. 

Comment by Andrea Graziano on January 28, 2015 at 12:04pm

very interesting results !





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