Commit | Date | |
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2013-07-12 15:47:16 | Tree | |
[r20287]
by
bugman
Created the lib.dispersion.ns_matrices module. This module contains a collection of functions for generating the relaxation matrices for the The code comes from the 'fitting_main_kex.py' file attached to https://gna.org/task/?7712#comment3 |
2013-07-12 15:39:35 | Tree |
2013-07-12 15:20:39 | Tree | |
[r20285]
by
bugman
Added the missing mpower() function as lib.linear_algebra.matrix_power.square_matrix_power(). This is needed by the lib.dispersion.ns_2site_star module. The function comes from the 'fitting_main_kex.py' file attached to comment 3 of task #7712 |
2013-07-12 15:12:38 | Tree |
[r20284]
by
bugman
Added parameter conversions to go from pA and kex to kge and keg. This is for the 'NS 2-site star' numerical model. The conversions have been added to the start of |
2013-07-12 14:30:03 | Tree |
[r20283]
by
bugman
Better support for the R2A and R2B relaxation rate parameters in the relaxation dispersion analysis. This includes a number of fixes to allow these two parameters to be handled correctly. |
2013-07-12 10:31:02 | Tree |
2013-07-12 10:04:30 | Tree | |
[r20281]
by
bugman
Added support for the 'NS 2-site star' model to the relax_disp.select_model user function back end. This is the model of the numerical solution for the 2-site Bloch-McConnell equations using complex This commit follows step 6 of the relaxation dispersion model addition tutorial |
2013-07-12 10:03:29 | Tree |
[r20280]
by
bugman
Added support for the R2B parameter as required by the 'NS 2-site star' model. This is the model of the numerical solution for the 2-site Bloch-McConnell equations using complex This commit follows step 5 of the relaxation dispersion model addition tutorial |
2013-07-12 09:56:23 | Tree |
[r20279]
by
bugman
Created the 'NS 2-site star' model target function. This is the model of the numerical solution for the 2-site Bloch-McConnell equations using complex This commit follows step 4 of the relaxation dispersion model addition tutorial |
2013-07-12 09:46:15 | Tree |