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Hi Prof. and TA,
I'm trying to find the K and b for the lease-squares error in quadratic from:
S^T K s + S^T b + c
The way to solve it is explained in this issue:
danielepanozzo/gp#13
My questions are:
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In the issue, it's mentioned that "the "G" matrix I believe you refer to, which can be computed by igl::grad, holds the G_t for each triangle t (but not directly stacked: it chooses to place row i of G_t in G.row(i * #F + t))"
I don't really understand what it means, could you provide more explanation? -
According to @jpanetta, the expression could be written as: E_1(s) = s^T G^T G s - 2 s^T G^T u + const, however, G^T (3F * V) * u (F * 3) cannot produce a valid matrix. Am I missing anything?
Thanks.
LihengGong
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