Updates

Author: odow

docs/src/submodules/Nonlinear/overview.md

@@ -248,7 +248,7 @@ MathOptInterface instead passes an [`NLPBlockData`](@ref), which wraps an
 bounds and whether the evaluator has a nonlinear objective. Create an
 `NLPBlockData`](@ref) as follows:
 ```jldoctest nonlinear_developer
-julia> MOI.NLPBlockData(data)
+julia> MOI.NLPBlockData(data);
 ```
 
 ## Expression-graph representation

src/Nonlinear/Nonlinear.jl

@@ -42,20 +42,28 @@ function of `data`.
 
 `obj` must be a type that is supported by [`parse_expression`](@ref).
 
+To remove the objective, pass `nothing`.
+
 ## Examples
 
 ```julia
 data = NonlinearData()
 x = MOI.VariableIndex(1)
 set_objective(data, :(\$x^2 + 1))
 set_objective(data, x)
+set_objective(data, nothing)
 ```
 """
 function set_objective(data::NonlinearData, obj)
     data.objective = parse_expression(data, obj)
     return
 end
 
+function set_objective(data::NonlinearData, ::Nothing)
+    data.objective = nothing
+    return
+end
+
 """
     add_expression(data::NonlinearData, expr)::ExpressionIndex
 

src/Nonlinear/types.jl

@@ -241,4 +241,3 @@ function set_differentiation_backend(
     data.inner = nothing
     return
 end
-