Author: tlinnet Date: Fri Jun 20 08:29:44 2014 New Revision: 24184 URL: http://svn.gna.org/viewcvs/relax?rev=24184&view=rev Log: Rearranged the dot code, for better view. Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion models for Clustered analysis. Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py URL: http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py?rev=24184&r1=24183&r2=24184&view=diff ============================================================================== --- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py (original) +++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_star.py Fri Jun 20 08:29:44 2014 @@ -207,7 +207,8 @@ ecR2_tcp = ecR2_mat[0, si, mi, 0, di] # This is the propagator for an element of [delay tcp; 180 deg pulse; 2 times delay tcp; 180 deg pulse; delay tau], i.e. for 2 times tau-180-tau. - prop_2 = dot(dot(eR_tcp, ecR2_tcp), eR_tcp) + prop_2 = dot(eR_tcp, ecR2_tcp) + prop_2 = dot(prop_2, eR_tcp) # Now create the total propagator that will evolve the magnetization under the CPMG train, i.e. it applies the above tau-180-tau-tau-180-tau so many times as required for the CPMG frequency under consideration. prop_total = square_matrix_power(prop_2, power_si_mi_di)