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ECSE 507 Optimization and Optimal Control (3 credits)

Offered by: Electrical & Computer Engr (Faculty of Engineering)

Overview

Electrical Engineering : General introduction to optimization methods including steepest descent, conjugate gradient, Newton algorithms. Generalized matrix inverses and the least squared error problem. Introduction to constrained optimality; convexity and duality; interior point methods. Introduction to dynamic optimization; existence theory, relaxed controls, the Pontryagin Maximum Principle. Sufficiency of the Maximum Principle.

Terms: Winter 2013

Instructors: Hannah Michalska (Winter)

  • (3-0-6)
  • Prerequisites: MATH 264 or MATH 248, MATH 270 or MATH 271 or MATH 247