Topic hubs

Math foundations provide the linear algebra, calculus, and basic analysis refreshers that every other topic leans on. These primers keep the notation consistent across the notes so the later derivations and proofs can assume a common toolkit.

Mathematical optimization gathers the convex analysis, duality theory, and nonlinear search strategies that underpin the rest of the control stack. Expect to find the tools needed to certify feasibility, reason about optimality conditions, and tune algorithms before they are deployed in MPC, optimal control, or reinforcement learning pipelines.