relax SVN archive

Turned Mint vector into a 7,1 matrix, so dimensions fit with evolution matrix.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Lowered the number of dot iterations, by pre-prepare the dot matrix another round.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Wrote the essential dot matrix up to be initiated earlier.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Changed linked matrix/vector inner products into chained dot expressions.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Change to the target function to the model ns cpmg 2site 3d to use the reduced input to the lib function.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Fix for unit tests of model ns cpmg 2site 3d to the reduced input to the lib function.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Methods to replace math domain errors in model ns_cpmg_2site_3d, has been replaced with numpy masks.

number of points has been removed, as the masks utility replaces this.
pB is now moved to be calculated inside. This makes the lib function simpler.
k_AB and k_BA is also now calculated here.
Magnetization vector is also now filled in lib function.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.

Python 3 fix for the CaM frame order system test base script.

Added another timing script for helping with speeding up the frame order analysis.

This is for the part where the rotation matrix for each Sobol' integration point is shifted into the
eigenframe.

Fix for system test Relax_disp.test_cpmg_synthetic_dx_map_points.

By just copying self.back_calc_a to self.back_calc, problem was solved.

In specific_analysis.relax_disp.optimisation in function back_calc_r2eff(), the
function gets the last values stores in the class function.

This is in:
class Disp_result_command(Result_command):
"""Class for processing the dispersion optimisation results.
With:
self.back_calc = back_calc

And back_calc_r2eff() have return model.back_calc

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis.