relax SVN archive

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.

Speed ups of the 'NS 2-site star' dispersion model optimisation.

The relaxation and magnitisation data structures are now initialised with the target function
initialisation, rather than being created at each target function call. The Rex and M0 matrices are
now updated at the base of the target function rather than in the lib.dispersion.ns_2site_star
module to minimise the number of mathematical operations per target function call. And the M0
matrix has changed shape and a dot product is used in lib.dispersion.ns_2site_star to create Moft
instead.

The 'NS 2-site star' model is now more robust against math domain failures.

This includes the failure of the logarithmic of zero matrices.

Fix for the state G+E to A+B conversion in lib.dispersion.ns_2site_star.

The fixed relaxation time period is now sent into the 'NS 2-site star' dispersion model.

Basic fix for the lib.linear_algebra.matrix_power.square_matrix_power() function.

The chemical shift difference is now passed into lib.dispersion.ns_2site_star.

This is currently set to the fA parameter, though it is not yet clear if this is correct.

Fixes for the construction of the complex conjugate matrix in lib.dispersion.ns_2site_star.

Completed the conversion of the ground and excited states (G, E) to the A and B states.

This follows from http://thread.gmane.org/gmane.science.nmr.relax.devel/4132/focus=4154.