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arxiv: 1807.11232 · v1 · pith:5URXFBVTnew · submitted 2018-07-30 · 🧮 math.OC

An Approximate Newton Smoothing Method for Shape Optimization

classification 🧮 math.OC
keywords symbolapproximateidentifymethodoperatoroptimizationshapesmoothing
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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.

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