Nested and Self-Adaptive Bezier Parameterizations for Shape Optimization

This article is a sequel of [6], in which we dened formally a hierarchical shape optimization method based on a multi-level shape representation by nested Bezier parameterizations (FAMOSA), and [7] where we conducted some preliminary nu-merical experiments of shape optimization in aerodynamics. Here, we are testing the Full Multi-Level Optimum Shape Algorithm (analogous in logical structure to the classical Full Multigrid Method). Second, we propose a technique for parame-terization self-adaptivity. Both methodological enhancements are assessed by novel numerical experiments on an inverse shape model problem, conrming both are very eective