For the primal solution, please refer to the Newton-ILU case above (with Nonlinear solver iterations limited to 50) - Adjoint parameters:
- Adjoint output: Drag
- Patch Reconstruction H1: False (??)
- Hessian Scalar Type: -1 (??)
- Nonlinear Smoother: Newton (solved to 10-6)
- Adjoint Smoother residual converged to 10-6
- Primal truth surrogate not fully converged
- Adjoint truth fully converged
- Adaptation parameters:
- Output Adapted: Drag
- Anisotropy method: Hessian (??)
- Re-meshing method: boundary curved
- Number of adaptation iterations: 2
- hp adaptation space
- Adaptation algorithm: Fixed-Fraction marking
- 30% refining and 20% coarsening fractions
- Target degree-of-freedom increase factor: 1.0 (constant DOF)
- Forward sensitivities are computed (i.e. dCD d(Drag)/dα with a tangent linearization)
- Serial results:
- Adjoint residual norm converges to 1.8574·10-15 after 2 iterations
- dCD/dα (forward sensitivity): 1.6544·10-3
- dCD/dα (adjoint): 1.6544·10-3
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