Why it matters
Convex optimization is workhorse. Understanding shapes ML + OR.
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The architecture
Objective convex + feasible set convex.
Any local min is global.
Polynomial algorithms.
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How it works end to end
Boyd + Vandenberghe textbook.
CVXPY + solvers.
SOCP + SDP + LP + QP hierarchy.
Duality theory.