diff --git a/README.md b/README.md index 0bc60ff8..30683b3e 100644 --- a/README.md +++ b/README.md @@ -1 +1,2 @@ # su2code.github.io +[Link to Website](https://su2code.github.io/) diff --git a/_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md b/_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md index 8652806a..e66cf8a9 100644 --- a/_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md +++ b/_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md @@ -19,7 +19,7 @@ Upon completing this tutorial, the user will be familiar with setting up and run - Constraints as penalty functions - Combining objectives in the adjoint evaluation of the gradient to reduce computational cost. -The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonc wedge tutorial. +The intent of this tutorial is to introduce multi-objective, single-point optimization and explain how this can be implemented using SU2. This tutorial uses the same geometry and flow conditions as described in the inviscid supersonic wedge tutorial. The capabilities of combining multiple objectives and incorporating penalty functions into the adjoint formulation in SU2 are discussed further in section 3.4 of [this work](https://purl.stanford.edu/mm280hp6972). diff --git a/index.html b/index.html index 57a2d2c0..5d36a857 100644 --- a/index.html +++ b/index.html @@ -34,7 +34,6 @@