Mordicus.Core.DataCompressors.SnapshotPOD module

Mordicus.Core.DataCompressors.SnapshotPOD.ComputeReducedOrderBasis(snapshotsIterator, snapshotCorrelationOperator, tolerance)[source]

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

Mordicus.Core.DataCompressors.SnapshotPOD.ComputeReducedOrderBasisFromCollectionProblemData(collectionProblemData, solutionName, tolerance, snapshotCorrelationOperator=None)[source]

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, optional) – correlation operator between the snapshots

Returns

of size (numberOfModes, numberOfDOFs)

Return type

np.ndarray