IE 510 - Applied Nonlinear Programming

Spring 2022

TitleSectionCRNTypeHoursTimesDaysLocationInstructor
Applied Nonlinear ProgrammingONL70661ONL4 -    Ruoyu Sun

Course Description

Optimization of nonlinear systems; survey of classical methods and concepts such as the Lagrangian method, the Jacobian method, and Kuhn-Tucker conditions; modern algorithms; numerical methods for digital computers; applications in engineering design; and use of state-of-the-art computer codes are covered in this course.

Credit Hours

4 hours

Prerequisites

Undergraduate degree and IE 310 - a course in Deterministic Models in Optimization. Please note that ISE graduate students and students enrolled in the Master of Science in Advanced Analytics (MCAA) are eligible to take the course.

Subject Area

  • Industrial and Enterprise Systems Engineering