Mordicus.DataCompressors.SnapshotPOD

ComputeReducedOrderBasis(snapshotsIterator, snapshotCorrelationOperator, tolerance)

Computes a reducedOrderBasis using the SnapshotPOD algorithm, from the snapshots contained in the iterator snapshotsIterator, which a correlation operator between the snapshots defined by the matrix snapshotCorrelationOperator, with tolerance as target accuracy of the data compression

Parameters:

• snapshotsIterator (iterator) – iterator over the snapshots on which we want to compute a reducedOrderBasis

• snapshotCorrelationOperator (scipy.sparse.csr) – correlation operator between the snapshots

• tolerance (float) – target accuracy of the data compression

Returns:

of size (numberOfModes, numberOfDOFs)

Return type:

np.ndarray

ComputeReducedOrderBasisFromCollectionProblemData(collectionProblemData, solutionName, tolerance, snapshotCorrelationOperator=None)

Computes a reducedOrderBasis using the SnapshotPOD algorithm, from the snapshots contained in the solutions of name “solutionName” from all problemDatas in collectionProblemData, with tolerance as target accuracy of the data compression

Parameters:

• collectionProblemData (CollectionProblemData) – input collectionProblemData containing the data

• solutionName (str) – name of the solutions from which snapshots are taken

• tolerance (float) – target accuracy of the data compression

• snapshotCorrelationOperator (scipy.sparse.csr_matrix, optional) – correlation operator between the snapshots

Returns:

of size (numberOfModes, numberOfDOFs)

Return type:

np.ndarray