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Update docs/src/steady_state_functionality/nonlinear_solve.md
Co-authored-by: Sam Isaacson <[email protected]>
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docs/src/steady_state_functionality/nonlinear_solve.md

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@@ -102,7 +102,7 @@ Next, we provide these as an input to a `SteadyStateProblem`
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ssprob = SteadyStateProblem(dimer_production, u0, p)
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nothing # hide
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```
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Finally, we can find the steady states using the `solver` command. Since `SteadyStateProblem`s are solved through forward ODE simulation, we must load the sublibrary of the [OrdinaryDiffEq.jl](https://github.com/SciML/OrdinaryDiffEq.jl) package that corresponds to the [selected ODE solver](@ref simulation_intro_solver_options). Any available ODE solver can be used, however, it has to be encapsulated by the `DynamicSS()` function. E.g. here we designate the `Rodas5P` solver and import the `OrdinaryDiffEqRosenbrock` sublibrary:
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Finally, we can find the steady states using the `solver` command. Since `SteadyStateProblem`s are solved through forward ODE simulation, we must load the sublibrary of the [OrdinaryDiffEq.jl](https://github.com/SciML/OrdinaryDiffEq.jl) package that corresponds to the [selected ODE solver](@ref simulation_intro_solver_options). Any available ODE solver can be used, however, it has to be encapsulated by the `DynamicSS()` function. E.g. here we use the `Rodas5P` solver which is loaded from the `OrdinaryDiffEqRosenbrock` sublibrary:
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(which requires loading the SteadyStateDiffEq package).
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```@example steady_state_solving_simulation

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