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2 changes: 1 addition & 1 deletion docs/src/reference/models.md
Original file line number Diff line number Diff line change
Expand Up @@ -134,7 +134,7 @@ BarrierIterations
NodeCount
```

### ResultStatusCode
### Result Status

```@docs
ResultStatusCode
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6 changes: 3 additions & 3 deletions docs/src/submodules/Nonlinear/SymbolicAD.md
Original file line number Diff line number Diff line change
Expand Up @@ -86,7 +86,7 @@ To revert back to the default sparse reverse mode algorithm, set the
[`AutomaticDifferentiationBackend`](@ref) attribute to
[`Nonlinear.SparseReverseMode`](@ref).

## `simplify`
## [`simplify`](@id symbolic_ad_manual_simplify)

Use [`Nonlinear.SymbolicAD.simplify`](@ref) to simplify nonlinear expressions.
The simplification algorithm performs simple rewrites such as lifting nested
Expand Down Expand Up @@ -151,7 +151,7 @@ In addition to [`Nonlinear.SymbolicAD.simplify`](@ref), there is an in-place
version [`Nonlinear.SymbolicAD.simplify!`](@ref) that may make changes to the
existing function.

## `variables`
## [`variables`](@id symbolic_ad_manual_variables)

Use [`Nonlinear.SymbolicAD.variables`](@ref) to return a sorted list of the
variables that appear in the function:
Expand All @@ -172,7 +172,7 @@ julia> MOI.Nonlinear.SymbolicAD.variables(f)
MOI.VariableIndex(3)
```

## `derivative`
## [`derivative`](@id symbolic_ad_manual_derivative)

Use [`Nonlinear.SymbolicAD.derivative`](@ref) to compute the symbolic derivative
of a function with respect to a decision variable:
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