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Rumpfkeil, Markus Peer - Department of Mechanical and Aerospace Engineering, University of Dayton
Efficient Hessian Calculations using Automatic Differentiation and the Adjoint Method
A General Framework for the Optimal Control of Unsteady Flows with Applications
Optimal Aeroacoustic Shape Design Using a Discrete Adjoint Markus P. Rumpfkeil and David W. Zingg
A Dynamic Sampling Method for Kriging and Cokriging Surrogate Models
FarField Noise Minimization Using an Adjoint Approach
Airfoil Optimization for Unsteady Flows with Application to High-Lift Noise Reduction
American Institute of Aeronautics and Astronautics Design Optimization Utilizing
Canadian Aeronautics and Space Institute Aerodynamics Symposium
Unsteady Optimization Using a Discrete Adjoint Approach Applied to Aeroacoustic Shape Design
Uncertainty Analysis Utilizing Gradient and Hessian Information
Optimization Under Uncertainty Using Gradients, Hessians, and Surrogate Models
