relax SVN archive

Removed all un-used helper functions, and matrix exponential functions.

They are now condensed to the fewest possible functions.

Changed to the matrix_exponential function for NS R1rho 2site.

Made new general stride helper function and matrix_exponential function.

A profiling showed, that it was not faster to preform the index view.

Extracted the data view of the index indices numpy array in the target_function.

Added function to get the data view via striding through a higher dimensional column numpy array.

Created the numpy array self.index target function which contains index to store the data.

This is for situations where numpy version is under 1.8.

Created function to create the helper index numpy array, to help figuring out the indices to store in the exchange data matrix.

This is for striding through data and store the data correct in the data matrix.

This is for a special situation where numpy version is < 1.8, and where the numpy.linalg.eig() function can only
be performed on square matrices, and not on higher dimensional data.

For this situation, it is necessary to stride through the data.

Implemented second try to stride through data, when computing the eig() of higher dimensional data.
This of data of form: NS, NM, NO, ND, Row, Col.

Systemtest test_sprangers_data_to_ns_mmq_2site survived this transformation.

The systemtest will go from about 2 seconds to 4 seconds.

Implemented first try to stride through data, when computing the eig() of higher dimensional data.

Systemtest test_cpmg_synthetic_b14_to_ns3d_cluster survived this transformation.

The systemtest will go from about 11 seconds to 22 seconds.