📄 perform_tensor_decomp.m
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function [e1,e2,l1,l2] = perform_tensor_decomp(T,order)
% perform_tensor_decomp - perform an eigendecomposition.
%
% [e1,e2,l1,l2] = perform_tensor_decomp(T);
%
% 'e1(i,j,:)' is the main eigenvector at location (i,j)
% with associated largest eigenvalue 'l1(i,j)'.
% 'e2(i,j,:)' is the second eigenvector at location (i,j)
% with associated smallest eigenvalue 'l2(i,j)'.
%
% So you always have l1>=l2 (not in absolute value !).
%
% If 'order'=='abs' then the the decomposition is done
% so that abs(l1)>=abs(l2)
%
% 'T' must be a tensorial field (produced eg. by compute_hessian),
% so it should be symmetric.
%
% Copyright (c) 2004 Gabriel Peyr
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