Time-Dependent Optimization

Application ID: 12677

This tutorial demonstrates how to compute the periodic steady-state solution of a nonlinear model problem using an optimization solver. The solver modifies the initial conditions at the beginning of a period to match the solution at the end of the period.

The model solves much faster using this combination of optimization and time dependent solver compared to when using the time dependent solver alone. The reason is that the solution does not have to be computed for a large number of periods in order to reach steady state.

This model example illustrates applications of this type that would nominally be built using the following products:

Optimization Module