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Funnily enough, one of the papers I had in mind relies heavily on the graph Laplacian to solve the Laplace equation on a graph. This is particularly useful when one wishes to work on spatial domains in which nodes are non-uniformly distributed w.r.t to the range, such as the complex logarithmic mapping of visual coordinates in human vision. A lot of recent vision work has involved graph theoretic discrete calculus methods. It's a super interesting field but not my area of expertise by any means. So I might ask you questions from time to time, if you don't mind answering them?
Tony Vladusich /
npub173…rfeej
2024-12-27 22:15:23
in reply to nevent1q…2l7l
Author Public Key
npub173x9mumh8heh8ndfsc07j2gylwtx950vy5u9e98730ksg4thlwpqgrfeejPublished at
2024-12-27 22:15:23Event JSON
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