EECS 263
Introduction to Non-Linear Optimization
Explores convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results useful in applications. Covers the fundamentals of convex optimization and its applications to signal processing, control, machine learning.
Prerequisites & course information
Explores convex optimization problems that arise in scientific and engineering applications, presenting the basic theory, and concentrating on modeling aspects and results useful in applications. Covers the fundamentals of convex optimization and its applications to signal processing, control, machine learning.
Sources
- Course catalogue ↗2026-2027