Sensitivity
A Sensitivity solver node () solves a sensitivity analysis problem set up in The Sensitivity Interface.
Also see The Sensitivity Analysis Algorithm. Sensitivity analysis for time-dependent problems is available with the Optimization Module.
General
In the Objective field, specify the objective to use for the sensitivity analysis.
From the Sensitivity method list, choose one of the following options:
Adjoint — The adjoint method solves for the derivatives of a single scalar objective function with respect to any number of sensitivity variables.
Forward — The forward sensitivity method solves for the derivatives of all dependent variables and an optional scalar objective function with respect to a small number of sensitivity variables.
Forward numeric — This method is a variant of the forward sensitivity method where the right-hand side of the sensitivity problem is computed by numerical differentiation.
See also Choosing a Sensitivity Method.