PDEs 101 lecture notes for ML researchers: heat, advection, Poisson and numerics
risteski_a · x · 2026-09-04
risteskia released the first set of 'PDEs 101' lecture notes aimed at ML researchers, covering:
- Derivations of 'model organism' PDEs: heat equation, advection, Poisson
- Strong/weak/variational formulations
- Numerical methods basics: finite differences/elements, explicit and implicit Euler
The notes assume only calculus, linear algebra, probability, and ML foundations, with more lectures to be uploaded to the same page.
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