goddard + iss tuto fix

jbcaillau · jbcaillau · commit 24c10c2bf21c · 2025-04-18T01:05:37.000+02:00
diff --git a/docs/Project.toml b/docs/Project.toml
@@ -17,6 +17,7 @@ MINPACK = "4854310b-de5a-5eb6-a2a5-c1dee2bd17f9"
 MadNLP = "2621e9c9-9eb4-46b1-8089-e8c72242dfb6"
 NLPModelsIpopt = "f4238b75-b362-5c4c-b852-0801c9a21d71"
 NonlinearSolve = "8913a72c-1f9b-4ce2-8d82-65094dcecaec"
+OptimalControl = "5f98b655-cc9a-415a-b60e-744165666948"
 OrdinaryDiffEq = "1dea7af3-3e70-54e6-95c3-0bf5283fa5ed"
 Percival = "01435c0c-c90d-11e9-3788-63660f8fbccc"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
diff --git a/docs/src/tutorial-goddard.md b/docs/src/tutorial-goddard.md
@@ -283,7 +283,7 @@ println("\nNorm of the shooting function: ‖s‖ = ", norm(s), "\n")
 We aggregate the data to define the initial guess vector.
 
 ```@example main
-ξ = [p0; t1; t2; t3; tf] # initial guess
+ξ = [p0..., t1, t2, t3, tf] # initial guess
 ```
 
 ### MINPACK.jl
