— Optimization

Prerequisites & course information

Course Description: Understanding, analyzing, and solving constrained convex optimization problems arising in cutting-edge engineering and science fields, including machine learning, signal processing, networks, control, transportation, and circuit design. Convexity theory and the algorithmic approaches for convex optimization problem. Learning Activities: Discussion/Laboratory 3 hour(s). Grade Mode: Letter. Learning Activities: Discussion/Laboratory 3 hour(s). Grade Mode: Letter.