STEM / applied
Convex optimization · Graduate · Math
Topics
Applications in science and engineering
- Sparse recovery and compressed sensing (L1 methods)
- Portfolio optimization and risk constraints
- Control: LQR and model predictive control (convex formulations)
- Signal processing: total variation and denoising
- Machine learning: logistic regression, SVMs, and kernel methods (convex views)
Implementation and case studies
- Modeling languages: CVX, CVXPY, or similar
- Scaling to large datasets with stochastic and distributed methods
- Robust optimization and uncertainty sets
- Structure exploitation: sparsity, low rank, and graph patterns
- Debugging infeasibility and unboundedness in conic solvers
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Convex optimization · 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 or Venmo.