This looks pretty useful, but as you gave us Stam's link, you probably already know!
http://www.dgp.toronto.edu/people/stam/reality/Research/pdf/cc.pdf

It describes itself as course notes; Stam says it includes a couple of correction/s to
errors in the Appendices of the published paper,  and other changes.

He talks about using precomputed eigenstructures and eigenvector inverses for given valences. Is that relevant for you? (Valence here appears to be numbers of neighbour nodes.) He mentions LINPACK, which is presumably a variant of LAPACK. It appears that the approach comes into its own when the maximum valence is greater than 4.

Looks fun!
Mike





On 24/04/2017 21:34, Raul Miller wrote:
Actually, it turns out I was not looking for Ed Catmull's papers, but
Jos Stam's papers:

http://www.dgp.toronto.edu/people/stam/reality/Research/pub.html

My mistake.

Thanks,



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