Initiated lengthy profiling script, that shows that doing square numpy matrix_power on strided data, can speed up the calculation by factor 1.5.
The profiling script can quicly be turned into a unit test, and includes small helper functions to calculate how to stride through the data.
Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.
Authored by: tlinnet 2014-06-25
Parent: [r24323]
Child: [r24325]
