It is often desirable to work with transformations
that are as nearly unitary as possible,
i.e., their transpose is their pseudoinverse.
These transformations are pseudounitary.
Let us make NMO with linear interpolation
into a pseudounitary transformation.
We need to factor the tridiagonal
matrix into bidiagonal parts,
.One such factorization is the well-known Cholesky decomposition;
which is like spectral factorization.
(We never really need to look at square roots of matrices).
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