That's a great idea! That'll save so much time!
Edward
On 15 June 2014 08:53, <tlinnet@xxxxxxxxxxxxx> wrote:
Author: tlinnet
Date: Sun Jun 15 08:53:40 2014
New Revision: 23953
URL: http://svn.gna.org/viewcvs/relax?rev=23953&view=rev
Log:
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.
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=23953&r1=23952&r2=23953&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
08:53:40 2014
@@ -137,9 +137,12 @@
# This matrix is a propagator that will evolve the magnetization
with the matrix R for a delay tcp.
Rexpo = matrix_exponential(R*tcp[i])
+ # Temp matrix.
+ t_mat = Rexpo.dot(r180x).dot(Rexpo)
+
# Loop over the CPMG elements, propagating the magnetisation.
for j in range(2*power[i]):
- Mint = Rexpo.dot(r180x).dot(Rexpo).dot(Mint)
+ 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.
Mx = Mint[1] / pA
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Re: r23953 - /branches/disp_spin_speed/lib/dispersion/ns_cpmg_2site_3d.py