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.


  • 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.

Summer Fall Spring

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