The sampling of the states :math:`\mathbf{x}` can be given explicitly or under
form of hypercubes, explicit or sampled according to classic distributions, or
-using Latin hypercube sampling (LHS). The computations are optimized according
-to the computer resources available and the options requested by the user. You
-can refer to the :ref:`section_ref_sampling_requirements` for an illustration
-of sampling. Beware of the size of the hypercube (and then to the number of
-computations) that can be reached, it can grow quickly to be quite large. When
-a state is not observable, a *"NaN"* value is returned.
+using Latin hypercube sampling (LHS) or Sobol sequences. The computations are
+optimized according to the computer resources available and the options
+requested by the user. You can refer to the
+:ref:`section_ref_sampling_requirements` for an illustration of sampling.
+Beware of the size of the hypercube (and then to the number of computations)
+that can be reached, it can grow quickly to be quite large. When a state is not
+observable, a *"NaN"* value is returned.
It is also possible to supply a set of simulations :math:`\mathbf{y}` already
established elsewhere (so there's no explicit need for an operator
