Add eigendecomp as an abstraction on top of eigen, which would factorize a tensor into a product of the right eigenvectors, the diagonal matrix of eigenvalues, and the left eigenvectors (https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix#Eigendecomposition_of_a_matrix). In general the left and right eigenbases are inverses of each other, but in the case where the map is hermitian they are conjugates of each other.
Add
eigendecompas an abstraction on top ofeigen, which would factorize a tensor into a product of the right eigenvectors, the diagonal matrix of eigenvalues, and the left eigenvectors (https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix#Eigendecomposition_of_a_matrix). In general the left and right eigenbases are inverses of each other, but in the case where the map is hermitian they are conjugates of each other.