EE5239
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EE 5239 - Introduction to Nonlinear Optimization (3 Cr.) Online may be available
Electrical and Computer Engineering (11122)
TIOT - College of Science and Engineering
Course description
Nonlinear optimization. Analytical/computational methods. Constrained optimization methods. Convex analysis, Lagrangian relaxation, non-differentiable optimization, applications in integer programming. Optimality conditions, Lagrange multiplier theory, duality theory. Control, communications, management science applications.
prereq: [3025, Math 2373, Math 2374, CSE grad student] or dept consent
prereq: [3025, Math 2373, Math 2374, CSE grad student] or dept consent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Requirements
000910
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Periodic Fall & Spring