The computer could process about 1,000 parameter changes per second before it would bog down in the CPU.

A local bifurcation occurs when a parameter change causes the stability of an equilibrium (or fixed point) to change.

Due to the parametrization capabilities the software can communicate with central traffic computers and implement their current stategy by parameter changes.

When is time-orientable, the curve is oriented if the parameter change is required to be monotonic.

Some patches can have subpatches, which allows for global parameter changes to just the included subpatches.

The envelope theorem tells us how changes as a parameter changes, namely:

This quantity is telling to determine the appropriate detector to be used in order to measure the temperature from the thermometric parameter change.

This reduces overstress conditions that may induce failure, and reduces the rate of stress-induced parameter change over life.

The envelope theorem describes how the value of an optimal solution changes when an underlying parameter changes.

Other parameter changes may also cause unexpected effects.