In different fields of electrical engineering, such as power electronics or microwave engineering, the analysis of nonlinear electric networks is an important task.
As simulations for large scale nonlinear networks are numerically expensive, a structured approach for the analysis and optimization of such networks is advised.
In some applications, sensitivity analysis is used as an advanced approach to optimize given networks.
Sensitivity analysis is a study of how certain system parameters p influence the properties of a given quantity of interest (QoI).
The result is a very descriptive measure for the identification of relevent system parameters.
For networks with a large number of system parameters p, an adjoint sensitivity analysis shows advantages, as its computational cost is independent of the number of system parameters p.
Given the case, that the network contains largely scattered time scales, this analysis runs into issues if the sensitivity for the QoI has to be found at many points in time.