Update tutorials/introduction-to-optimizationproblems/index.jmd

Author: tmigot

tutorials/introduction-to-optimizationproblems/index.jmd

@@ -62,7 +62,7 @@ nlp_12 = OptimizationProblems.ADNLPProblems.woods(n=12)
 ```julia
 nlp_120 = OptimizationProblems.ADNLPProblems.woods(n=120)
 ```
-One of the advantages of these problems is that they are type-stable. Indeed, one can specify the output type with the keyword `type` as follows.
+One of the advantages of these problems is that they are type-stable. Indeed, one can specify the output type with the keyword `type` as follows. Note that in version < 0.8 the argument was `type=Val(DataType)`.
 ```julia
 nlp16_12 = OptimizationProblems.ADNLPProblems.woods(n=12, type=Float16)
 ```