Need help regarding SLSQP optimizer algorithm and how it uses sensitivity data from ADJOINT solver #133
usmanshahid90
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This is done in pyOptSparse. Check this example. |
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Hi everyone,
I am trying to develop a flow diagram of SLSQP optimization algorithm and want to link it with the sensitivity derivatives coming from the adjoint solver. I am unable to figure out that how the sensitivity derivatives computed from the adjoint solver are to be utilized in SLSQP algorithm. Moreover, if anyone can guide me about SLSQP, I would be really thankful.
Kindly guide me in this regard.
Thanks.
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