Lawrence L. Green

TL;DR: Variants of AMMO based on three nonlinear programming algorithms are demonstrated on a three-dimensional aerodynamic wing optimization problem and atwo-dimensional airfoiloptimization problem, and preliminary results indicate threefold savings in terms of high-e delity analyses for the three- dimensional problem and twofold savings for the two-dimensional problem.

TL;DR: Three versions of AMF, based on three nonlinear programming algorithms, are demonstrated on a 3D aerodynamic wing optimization problem and a 2D airfoil optimization problem, and preliminary results indicate threefold savings in terms of high-fidelity analyses in case of the 3D problem and twofold savings for the 2D problem.

TL;DR: An implementation of the approximate statistical moment method for uncertainty propagation and robust optimization for a quasi I-D Euler CFD code and the methods used are found to be valid when considering robustness about input parameter mean values.

TL;DR: In this paper, automatic differentiation is applied to a complicated computer program to illustrate the simplicity, efficiency, and versatility of AD with complex algorithms for use within a sensitivity analysis, which can be used to enhance computer programs with derivative information suitable for guiding formal sensitivity analyses, which allows these coefficient values to be chosen in a rigorous manner to achieve particular program properties such as an improved convergence rate or improved accuracy.

TL;DR: An overview of the MD0 technology field from a fluid dynamics perspective is provided, with emphasis to suggestions of specific applications of -recent ‘MD0 technologies that can enhance fluid dynamics research itself across the spectrum.