From b8f3bb226ac4a404d75b572c9116d03e11d1f1fc Mon Sep 17 00:00:00 2001 From: JuliusMartensen Date: Fri, 2 Feb 2024 07:05:56 +0100 Subject: [PATCH] Add doc ref --- paper/paper.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/paper/paper.md b/paper/paper.md index cdc49b9..c0c9d75 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -137,7 +137,7 @@ optimal_design = solve(optimization_problem, Ipopt.Optimizer(); hessian_approxim The package comes with several plotting functionalities with which the solutions can be quickly visualized and analyzed. \autoref{fig:lotka} shows the solution of the example above including the state trajectory $x(t), y(t)$ and the sampling decisions $w$. -More examples can be found at the documentation. +More examples can be found at the [documentation](https://mathopt.github.io/DynamicOED.jl/dev/). # Acknowledgements