algorithmic modeling for Rhino
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hi there Daniel
so i have no clue what u have done here
could u please explain. very nice work :)
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.
beauty! what is young's method?
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!
It would be fun with these to inform some kangaroo inflation forces. Nice work!
These are really fascinating.
very interesting results !
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