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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