The dependencies of an input function (sometimes referred to as an input filter) are the specific net functions that are permitted to pass through the input port during functional propagation. These dependencies define the relationships between the outputs of some objects and the input of others, describing how signals flow between objects. Because net functions may be automatically destroyed and recreated as the design changes, it is best if the Analyst only filter input dependencies when it results in a substantial savings in modeling time.
The following example demonstrates how signal flow is in part defined by input function dependencies:
In this example, notice that on object A, where input function dependencies are automatically generated, both of the signals (net functions) are passively propagated through the object (remember, functional passivity is based on the number of input ports, not input signals). On objects B and C, however, Analyst-defined input filters each prevent one of the two signals from passing through the object.
How to Work with Input Functions
For details on working with input function dependencies, choose from the following actions:
