- **SU2**
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- - **Creating a custom objective function**
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Creating a custom objective functionThrough a cursory glance at the code, I can see that objective functions go into the adjoint implementation in adjoint_solution_mean. Is that the only place where objective functions go/
I wanted to implement a custom objective function for pressure recovery for internal flows. How would I go about doing that? |

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As you know, SU2 design uses the continuous adjoint methodology, more details in: http://www.stanford.edu/~fasispg/art...-2013-0287.pdf http://adl.stanford.edu/papers/AIAA-2012-3018.pdf http://www.stanford.edu/~fasispg/art..._March2012.pdf http://www.stanford.edu/~fasispg/art...urnal_2009.pdf http://www.stanford.edu/~fasispg/art...urnal_2007.pdf A new objective function will require changes in the adjoint boundary conditions: void CAdjEulerSolution::SetForceProj_Vector(CGeometry *geometry, CSolution **solution_container, CConfig *config) and in the formula for computing the surface sensitivity. void CAdjEulerSolution::Inviscid_Sensitivity(CGeometry *geometry, CSolution **solution_container, CNumerics *solver, CConfig *config) Currently we are working on a discrete and a hybrid adjoint (it will be finished at the end of the year). Thank you for you interest in SU2, Best, Francisco |

I was going through some of the literature.
From what I understand, the formulation only takes surface integrals as an objective which is specified in void CAdjEulerSolution::SetForceProj_Vector(CGeometry *geometry, CSolution **solution_container, CConfig *config) Is that correct? I don't understand what I have to change in void CAdjEulerSolution::Inviscid_Sensitivity(CGeometry *geometry, CSolution **solution_container, CNumerics *solver, CConfig *config) since the only term related to the objective function is d which is coming from SetForceProj_Vector. Again, is this statement correct? For an initial attempt, I want to do an incompressible Euler optimization. Is that possible? Thank you for all the help. |

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