STEM / applied
Optimization & linear programming · Undergraduate · Math
Topics
Applications and software
- Production planning and resource allocation models
- Portfolio optimization (Markowitz model, introduction)
- Scheduling and blending problems in industry
- Solver use in Excel, Python (SciPy), or GAMS
- Case studies in logistics and supply chain
Algorithms and computation
- Interior-point methods (conceptual overview)
- Quadratic programming applications
- Nonlinear least squares and curve fitting
- Heuristic methods: simulated annealing and genetic algorithms (intro)
- Robustness and infeasibility diagnosis in large models
Pricing calculator
Choose materials, tutoring, or both — or book a single session as needed. Customize your plan on the subscribe page.
$1,162 · Optimization & linear programming · 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.