only ADAM

Author: ChrisRackauckas

docs/src/examples/optimal_control/optimal_control.md

@@ -95,11 +95,7 @@ optf = Optimization.OptimizationFunction((x, p) -> loss_adjoint(x), adtype)
 
 optprob = Optimization.OptimizationProblem(optf, θ)
 res1 = Optimization.solve(
-    optprob, OptimizationOptimisers.Adam(0.01), callback = cb, maxiters = 100)
-
-optprob2 = Optimization.OptimizationProblem(optf, res1.u)
-res2 = Optimization.solve(
-    optprob2, OptimizationOptimJL.BFGS(), callback = cb, maxiters = 100)
+    optprob, OptimizationOptimisers.Adam(0.01), callback = cb, maxiters = 300)
 ```
 
 Now that the system is in a better behaved part of parameter space, we return to
@@ -114,8 +110,8 @@ function loss_adjoint(θ)
 end
 optf3 = Optimization.OptimizationFunction((x, p) -> loss_adjoint(x), adtype)
 
-optprob3 = Optimization.OptimizationProblem(optf3, res2.u)
-res3 = Optimization.solve(optprob3, OptimizationOptimJL.BFGS(), maxiters = 100)
+optprob3 = Optimization.OptimizationProblem(optf3, res1.u)
+res3 = Optimization.solve(optprob3, OptimizationOptimisers.Adam(0.01), maxiters = 100)
 ```
 
 Now let's see what we received: