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EECS 263

Introduction to Non-Linear Optimization

4 Units.

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.

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