mailr23954 - /branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py


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Posted by tlinnet on June 15, 2014 - 08:53:
Author: tlinnet
Date: Sun Jun 15 08:53:42 2014
New Revision: 23954

URL: http://svn.gna.org/viewcvs/relax?rev=23954&view=rev
Log:
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.

Modified:
    branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py

Modified: branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py?rev=23954&r1=23953&r2=23954&view=diff
==============================================================================
--- branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py (original)
+++ branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py Sun Jun 15 
08:53:42 2014
@@ -138,10 +138,10 @@
         Rexpo = matrix_exponential(R*tcp[i])
 
         # Temp matrix.
-        t_mat = Rexpo.dot(r180x).dot(Rexpo)
+        t_mat = Rexpo.dot(r180x).dot(Rexpo).dot(Rexpo).dot(r180x).dot(Rexpo)
 
         # Loop over the CPMG elements, propagating the magnetisation.
-        for j in range(2*power[i]):
+        for j in range(power[i]):
             Mint = t_mat.dot(Mint)
 
         # The next lines calculate the R2eff using a two-point 
approximation, i.e. assuming that the decay is mono-exponential.




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