Standard syllabus
Optimization for CS · Graduate · CS / Programming
Topics
Convex optimization
- Convex sets and functions; optimality conditions
- Linear programming and simplex overview
- Gradient descent and projected gradient
- Lagrangian duality and KKT conditions
- Second-order cone and semidefinite programs (intro)
Discrete and stochastic
- Integer programming and branch-and-bound (intro)
- Network flow as optimization
- Subgradient methods for non-smooth problems
- Stochastic gradient descent and mini-batching
- Online convex optimization (intro)
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$1,162 · Optimization for CS · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.