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optimization

Convex functions and epigraphs

taught

Taught in

Convex functions and epigraphs
Optimization
Jensen's inequality, revisited
Optimization
Operations that preserve convexity
Optimization

Requires

convex-sets required

Required by

First-order (tangent-line) characterization of convexity required
Least squares as optimization required
Optimization vocabulary for ML: gradient descent and constraints required

Local knowledge map

Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.