Synopsis
Outline and Notation Acknowledgements Basic Formulations Finite Dimensional Optimization Newton's Algorithms Constrained Optimization Automatic Differentiation Computing Gradients by Adjoint States Applications One Shot Methods Conclusions A: Subroutine cubspl B: Prototype Programmes for the Optimization Code C: Odyssee User's Manual (short version) D: A Subroutine computing the Gradient with respect to the Grid for the Steady Aerodynamic Example Bibliography Index
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