compress()

PODBasis.compress(state: ndarray) → ndarray

Map high-dimensional states to low-dimensional latent coordinates.

\[\q \mapsto \qhat = \Vr\trp\q.\]

If a weight matrix \(\W\) is present, the compression is

\[\q \mapsto \qhat = \Vr\trp\W\q.\]

Parameters:

states(n, …) ndarray

Matrix of n-dimensional state vectors, or a single state vector.

Returns:

states_compressed(r, …) ndarray

Matrix of r-dimensional latent coordinate vectors, or a single coordinate vector.