2018/07/30 by Kusch, Jonas, Schmidt, Stephan, Gauger, Nicolas R.
#35S99 #49M15 #49Q10 #65K10 #76D55 #93C80 #FOS: Mathematics #Optimization and Control (math.OC)
paper · doi:10.48550/arxiv.1807.11232
A novel methodology to efficiently approximate the Hessian for numerical shape optimization is considered. The method enhances operator symbol approximations by including body fitted coordinates and spatially changing symbols in a semi automated framework based on local Fourier analysis. Contrary to classical operator symbol methods, the proposed strategy will identify areas in which a non-smooth design is physically meaningful and will automatically turn off smoothing in these regions. A new strategy to also numerically identify the analytic symbol is derived, extending the procedure to a wide variety of problems. The effectiveness is demonstrated by using drag minimization in Stokes and Navier-Stokes flows.