relax SVN archive

Inserted systemtest Relax_disp.test_finite_value, to illustrate the return of inf from C-code exponential, when R is negative.

This can be an issue, if minfx takes a wrong step when no constraints are implemented.

bug #22552(https://gna.org/bugs/index.php?22552): Chi2 value returned from C-code Curve-fitting return 0.0 for wrong parameters -> Expected influence on Monte-Carlo sim.

Inserted extra tests in systemtest Relax_disp.test_estimate_r2eff_err_methods to test that all values of R and i0 are positive, and the standard deviation from Monte-Carlo simulations
are equal.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added simulations that show, there is perfect agreement between Monte-Carlo simulations and Co-Variance estimation.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Modified data script generator, to handle a situation with fixed 5 timepoints, and a situations with variable number of timepoints.
Also modified analysis script.

It seems, this has an influence how the error estimation is performing.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Deleted test data set.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added initial dataset for test analysis.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Improved analysing test script, with plotting. It seems that R2eff error estimation always get the same result.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added Jacobian to test script, and now correctly do Simulations, per R2eff points.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

In module for estimating R2eff errors, removed " values, errors" to be send to function for gradient, since they are not used.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.

Added number of simulations to 10.000 in test script, and varied the random number of time point per simulation between 3 and 10.

task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting.