Status Updates From Fundamentals of Aerodynamics

hey i just feel like at a certain point we don't need to continue taking integrals but whatever

Aerodynamics is exciting because the point and line elements remind of electrostatics; vortex flow and its sheets remind of electrodynamics. Lattice (Boltzmann) method reminds of machine learning gradients, with damping factor analogous to learning rate. At higher speeds, sonic booms, wave mechanics and thermodynamics come into play - now: energy transfers in hypersonics.

History, design and applied sections make the read more interesting (and addictive).

Usually, analytical solutions have rampant approximations that extenuate drudgery. Numerically, each grid point (vertex) uses values computed in the previous step, at nearby vertices, to compute the value at current step. Large number of threads allow values to be obtained together in parallel.

Chapters 4 and 5 were of interest.

High alpha. VO2 maxed out. Boundary layer separation. Stall. Fatigue. Nose dive. Injury.

Specific part of this book was suggested for reading to understand the underlying theory in iterative mesh based simulations to select optimal design within constraints. I had read an older book long back, to appear busy, and evade speaking during discussions on blackbody radiation of fair faced females. Reading rest of it.

Like many others, this book too starts off with vector algebra, calculus with gradients, and then transitions to partial differential equation formulation. Boundary value problems keep coming up.

page 11. 1.2

Chapter 1. page 3.
The electronic pages are a bit different; pg. 25