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Links to all of the relax manual user function pages.
* Added simulation support for the RDC and PCS Q factors in the N-state model analysis. This is for both Monte Carlo and Bootstrap simulation. The simulation RDC and PCS values, as well as the simulation back calculated values are now stored via the minimise_bc_data() function of specific_analyses.n_state_model.optimisation in the respective spin or interatomic data containers. The analysis specific API methods now send the sim_index value into minimise_bc_data(), as well as the pipe_control.rdc.q_factors() and pipe_control.pcs.q_factors() functions.
* Silenced a warning in the N-state model optimisation if the verbosity is set to zero. This removes a repetitive warning from the Monte Carlo or Bootstrap simulations.
* Huge speed up for the Monte Carlo simulations in the N-state model analyses. This speed up is also for Bootstrap simulations and the frame order analysis. The change affects the [http://www.nmr-relax.com/manual/monte_carlo_initial_values.html monte_carlo.initial_values ] user function. The alignment tensor _update_object() method was very inefficient when updating the Monte Carlo simulation data structures. For each simulation, each of the alignment tensor data structures were being updated for all simulations. Now only the current simulations is being updated. This speeds up the user function by many orders of magnitude.
* Added functions for calculating the geometric mean and standard deviation to the relax library. These are the geometric_mean() and geometric_std() functions of the lib.statistics module. The implementation is designed to be fast, using numpy array arithmetic rather than Python loops.
* Created a simple unit test for the new lib.statistics.geometric_mean() function.
