relax SVN archive

Added the model "MODEL_DPL94_FIT_R1", to the full list of models.

sr #3135(https://gna.org/support/?3135): Optimisation of the R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.

Modified the warning and error messages beeing raised when calling return_r1_data().

Now warnings is raised if no R1 data is available. An error is raised if the R1rho model is expected to have R1 data, and it is not available.

That makes systemtest: Relax_disp.test_r1rho_kjaergaard_missing_r1() fail, which is the expected behaviour.

sr #3135(https://gna.org/support/?3135): Optimisation of the R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.
bug #21788(https://gna.org/bugs/?21788): Only Warning is raised for missing loading R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.

Added list of R1rho models, which use R1 in their equations.

sr #3135(https://gna.org/support/?3135): Optimisation of the R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.
bug #21788(https://gna.org/bugs/?21788): Only Warning is raised for missing loading R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.

This is the branch related to implement fitting R1 in R1rho analysis.

sr #3135(https://gna.org/support/?3135): Optimisation of the R1 relaxation rate for the off-resonance R1rho relaxation dispersion models.

Added graphs and results for run with MC=2000, for systemtest Relax_disp.test_r1rho_kjaergaard_auto().

This is to be able to extend graph testing for interpolated R1rho graphs, and to add figures to the latex manual.

Fix to unit tests, after changing the name of matrix_exponential function.

Fixes for numpy version under 1.8, when striding through data.

Added warning message to auto analysis in relax disp, if numpy is below 1.8 and using numerical model.

This will make the analysis 5-6 times slower.

Replaced all matrix_exponential functions in numerical models to use the new general matrix_exponential function.

Fix for eye matrix being wrong formed.