SIE545
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SIE545 - Fundamentals of Optimization
Course ID
031154
Course Description
Unconstrained and constrained optimization problems from a numerical standpoint. Topics include variable metric methods, optimality conditions, quadratic programming, penalty and barrier function methods, interior point methods, successive quadratic programming methods.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
GIDP - ABS (Applied Biosciences), GIDP - STATD (Statistics and Data Science)
Course Requisites
SIE 340.
May be convened with
Component
Lecture
Optional Component
No