Learning paths

Each path is a chapter-based sequence built on a concept graph. Nothing is taught twice — a lesson that needs an idea links to the lesson that owns it.

◆ from floating point to differentiable simulation

Computational Physics

Physics on a machine that cannot represent most numbers, cannot take a limit, and has to finish. This path builds numerical solvers one at a time - Euler, Runge-Kutta, implicit, symplectic - and then keeps going into the paradigms that reframe the whole problem: spectral methods, variational integrators, Monte Carlo, and differentiable physics.

5 ch14 lessons≈ 6.3 h