Fix docs (#17)

* Fix docs

* Adapt compat bounds

* Update Project.toml

Tighter bounds to keep useable

Project.toml

@@ -20,11 +20,11 @@ Aqua = "0.7"
 CommonSolve = "0.2"
 ComponentArrays = "0.15"
 DocStringExtensions = "0.9"
-ModelingToolkit = "8"
-Optimization = "3"
+ModelingToolkit = "<8.73.0"
+Optimization = "<3.20.0"
 OrdinaryDiffEq = "6"
 Reexport = "1.2"
-SciMLBase = "2"
+SciMLBase = "<2.8.0"
 SciMLSensitivity = "7"
 julia = "1.6"
 

docs/src/examples/1D.md

@@ -59,17 +59,17 @@ optimization_variables = states(oed_problem)
 ```
 
 !!! note 
-    The `optimization_states` contain several groups of variables, namely `measurements`, `controls`, `initial_conditions`, and `regularization`. `measurements` represent the decision to observe at a specific time point at the grid. We currently work with the naming convention `w_i` for the i-th observed equation.
+    The `optimization_variables` contain several groups of variables, namely `measurements`, `controls`, `initial_conditions`, and `regularization`. `measurements` represent the decision to observe at a specific time point at the grid. We currently work with the naming convention `w_i` for the i-th observed equation. Currently we need to `collect` the states before passing them into the `ConstraintsSystem`!
 
-Now we have access to all optimization variables as a `ComponentArray`. We are interested in choosing at most 3 measurements, so we add a `ConstraintSystem` from ModelingToolkit.
+Now we have access to all optimization variables as a `ComponentArray`. We are interested in choosing at most 3 measurements, so we add a `ConstraintsSystem` from ModelingToolkit.
 
 ```@example 1D
 constraint_equations = [
     sum(optimization_variables.measurements.w₁) ≲ 3,
 ]
 
 @named constraint_system = ConstraintsSystem(
-    constraint_equations, optimization_variables, []
+    constraint_equations, collect(optimization_variables), []
 )
 nothing # hide
 ```

docs/src/examples/lotka.md

@@ -65,12 +65,12 @@ constraint_equations = [
 ]
 
 @named constraint_system = ConstraintsSystem(
-    constraint_equations, optimization_variables, []
+    constraint_equations, collect(optimization_variables), []
 )
 nothing # hide
 ```
 !!! note 
-    The `optimization_states` contain several groups of variables, namely `measurements`, `controls`, `initial_conditions`, and `regularization`. `measurements` represent the decision to observe at a specific time point at the grid. We currently work with the naming convention `w_i` for the i-th observed equation.
+    The `optimization_variables` contain several groups of variables, namely `measurements`, `controls`, `initial_conditions`, and `regularization`. `measurements` represent the decision to observe at a specific time point at the grid. We currently work with the naming convention `w_i` for the i-th observed equation. Currently we need to `collect` the states before passing them into the `ConstraintsSystem`!
 
 
 Finally, we are now able to convert our [`OEDProblem`](@ref) into an `OptimizationProblem` and `solve` it.