The four parameter combinations

In model-free analysis four different combinations of parameters can be optimised, each of which requires a different approach to the construction of the chi-squared value, gradient, and Hessian. These categories depend on whether the model-free parameter set $ \mathfrak{F}$, the diffusion tensor parameter set $ \mathfrak{D}$, or both sets are simultaneously optimised. The addition of the local τm parameter to the model-free set $ \mathfrak{F}$ creates a fourth parameter combination.



Subsections

The relax user manual (PDF), created 2016-10-28.