ELEC 573

Advanced Engineering Design by Optimization

Units: 1.5

Formerly: 603

Fundamentals of constrained optimization theory. Simplex methods for linear programming. Modem interior-point methods such as primal-dual path-following methods and Mehrotra's predictor-corrector algorithm for linear programming. Active-set methods and primal-dual interior-point methods for quadratic and convex programming. Semidefinite programming algorithms. Sequential quadratic programming and interior-point methods for nonconvex optimization. Implementation issues and current software packages for constrained optimization. Applications in digital signal processing, control, robotics and communications.

Notes:

  • Credit will be granted for only one of ELEC 573, ELEC 603.
  • Students who have completed equivalent prerequisites may request permission to register in the course.

Graduate course in the Electrical Engineering program offered by the Faculty of Graduate Studies.

Schedules:
Summer Fall Spring

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