relax SVN archive

Docstring fix for the lib.dispersion.ns_2site_star.r2eff_ns_2site_star() function.

Added the 'NS 2-site star red' model to the relax_disp.select_model user function frontend.

This is the model of the numerical solution for the 2-site Bloch-McConnell equations using complex
conjugate matrices, whereby the simplification R20A = R20B is assumed.

This commit follows step 2 of the relaxation dispersion model addition tutorial
(http://thread.gmane.org/gmane.science.nmr.relax.devel/3907).

Rewrote the relax_disp.select_model user function documentation.

All of the detailed model information has been removed as it is now in the relax user manual. The
model lists have been modified to match the analytic-numeric sectioning of the manual.

Added the 'NS 2-site star red' model to the specific_analyses.relax_disp.variables module.

This is the model of the numerical solution for the 2-site Bloch-McConnell equations using complex
conjugate matrices, whereby the simplification R20A = R20B is assumed.

This commit follows step 1 of the relaxation dispersion model addition tutorial
(http://thread.gmane.org/gmane.science.nmr.relax.devel/3907).

Reworked the dispersion chapter of the manual for the recent support of numerical models.

This includes better sectioning and section labelling and referencing, and the addition of the
'NS 2-site star' numerical model. The model and parameter tables have been updated as well.

Changed 'numerical integration' to 'numerical solutions' in the dispersion chapter of the manual.

Docstring completion for lib.dispersion.ns_2site_star.r2eff_ns_2site_star().

Epydoc text was missing for some of the function arguments.

Improvement of the error handling in the 'NS 2-site star' model.

The fA and pB parameters are no longer being checked. Instead a Mgx value of 0.0 is being checked
for. This catches additional problems. And now instead of the R2eff value being set to zero, it is
set to 1e99. This is because log of zero is -inf, and then multiplied by a negative constant gives
positive inf.

More speed ups of the 'NS 2-site star' dispersion model.

A number of calculations have been shifted to the target function initialisation code, avoiding
unnecessary repetitive mathematical operations.

Shifted to using the faster numpy.linalg.matrix_power() function in lib.dispersion.ns_2site_star.

This was originally using the lib.linear_algebra.matrix_power.square_matrix_power() function,
however the numpy equivalent is faster.