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Update FAQ.md: add link to Basic Example on Optimization #3955

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2 changes: 2 additions & 0 deletions docs/src/basics/FAQ.md
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Expand Up @@ -192,6 +192,8 @@ p, replace, alias = SciMLStructures.canonicalize(Tunable(), prob.p)
# changes to the array will be reflected in parameter values
```

See the [basic example on optimizing](https://docs.sciml.ai/ModelingToolkit/dev/examples/remake/#Optimizing-through-an-ODE-solve-and-re-creating-MTK-Problems) for combining these steps to optimizing parameters and use ForwardDiff.jl as the backend for Automatic Differentiation.

# ERROR: ArgumentError: SymbolicUtils.BasicSymbolic{Real}[xˍt(t)] are missing from the variable map.

This error can come up after running `mtkcompile` on a system that generates dummy derivatives (i.e. variables with `ˍt`). For example, here even though all the variables are defined with initial values, the `ODEProblem` generation will throw an error that defaults are missing from the variable map.
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