MATH 271B
Numerical Optimization
Formulation and analysis of algorithms for constrained optimization. Optimality conditions; linear and quadratic programming; interior methods; penalty and barrier function methods; sequential quadratic programming methods. Prerequisites: consent of instructor.
Sources
- Course catalogue ↗2026-2027