Steady State Problems


Defines an Defines a steady state ODE problem. Documentation Page:

Mathematical Specification of a Steady State Problem

To define an Steady State Problem, you simply need to give the function $f$ which defines the ODE:

\[\frac{du}{dt} = f(u,p,t)\]

and an initial guess $u_0$ of where f(u,p,t)=0. f should be specified as f(u,p,t) (or in-place as f(du,u,p,t)), and u₀ should be an AbstractArray (or number) whose geometry matches the desired geometry of u. Note that we are not limited to numbers or vectors for u₀; one is allowed to provide u₀ as arbitrary matrices / higher dimension tensors as well.

Note that for the steady-state to be defined, we must have that f is autonomous, that is f is independent of t. But the form which matches the standard ODE solver should still be used. The steady state solvers interpret the f by fixing t=0.

Problem Type



isinplace optionally sets whether the function is inplace or not. This is determined automatically, but not inferred. Additionally, the constructor from ODEProblems is provided:


Parameters are optional, and if not given then a NullParameters() singleton will be used which will throw nice errors if you try to index non-existent parameters. Any extra keyword arguments are passed on to the solvers. For example, if you set a callback in the problem, then that callback will be added in every solve call.

For specifying Jacobians and mass matrices, see the DiffEqFunctions page.


  • f: The function in the ODE.
  • u0: The initial guess for the steady state.
  • p: The parameters for the problem. Defaults to NullParameters
  • kwargs: The keyword arguments passed onto the solves.

Special Solution Fields

The SteadyStateSolution type is different from the other DiffEq solutions because it does not have temporal information.