[Paper Review] Tired of Differentiating Jacobians by Hand? — Operator-Overloading Automatic Differentiation (ADOO)
·7 min read
Fraysse (2019) seeds dual numbers through an unchanged flux routine and reads a machine-precision Jacobian, with no finite-difference step h to tune.
Wrapping a Rectangular Grid Around a Wing — Curvilinear Coordinate Transforms and Grid Metrics
·6 min read
On a wavy mesh the Jacobian runs from 0.62 to 1.38 and stays positive. Write the flux as y_η and the freestream residual falls to about 1e-16.