genericROM.BasicAlgorithms.Metrics

L2Dissimilarity(snapshots, massMatrix=None, faster=True, verbose=False)[source]

Constructs the L2 dissimilarity matrix of a set of snapshots

Parameters: snapshots (np.ndarray) – of size (numberOfSnapshots, numberOfDofs)
Returns: of size (numberOfSnapshots, numberOfSnapshots)
Return type: np.ndarray

Norm(snapshots, massMatrix=None)[source]

Constructs the norm vector of a set of snapshots

Parameters: snapshots (np.ndarray) – of size (numberOfSnapshots, numberOfDofs)
Returns: of size (numberOfSnapshots)
Return type: np.ndarray

ScalarProductXX(snapshots, massMatrix=None, verbose=False)[source]

Constructs the scalar product matrix of two sets of snapshots

Parameters

snapshots (np.ndarray) – of size (numberOfSnapshots, numberOfDofs)
massMatrix (None or scipy.sparse.csr) – the sparse matrix of the L2 scalar product, of size (numberOfDofs, numberOfDofs)

Returns

of size (numberOfSnapshots1, numberOfSnapshots2)

Return type

np.ndarray

ScalarProductXY(snapshots1, snapshots2, massMatrix=None)[source]