Enabling large-scale MDO through adjoint sensitivity

Enabling large-scale MDO through adjoint sensitivity

Thursday, 3rd December 2019

Presentation:

The combination of gradient-based optimization and efficient methods for computing the required gradients (sensitivities), enables the solution of large-scale design optimization problems. Adjoint methods compute sensitivities for large numbers of design variables efficiently and accurately. MDO problems require coupled sensitivities, which provided the motivation to developed the coupled adjoint method. This method was first applied to high-fidelity aerostructural optimization and has recently been generalized in the OpenMDAO framework.

 

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About the Speaker:

Joaquim Martins

Professor Joaquim Martins of the University of Michigan will give a presentation to the NAFEMS' Optimisation Community.

Enabling large-scale MDO through adjoint sensitivity