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README.md

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# su2code.github.io
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[Link to Website](https://su2code.github.io/)

_tutorials/design_features/Multi_Objective_Shape_Design/Multi_Objective_Shape_Design.md

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- Constraints as penalty functions
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- Combining objectives in the adjoint evaluation of the gradient to reduce computational cost.
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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.
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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.
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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).

index.html

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<div class="container">
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<!-- Begin Special Banner for temporary announcements. End the comment here to enable... --->
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<!-- End Special Banner -->
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<div class="row">

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