SIE 645
Nonlinear Optimization
Fall
Spring
Required Course:
No
Course Level
Graduate
Units
3
Prerequisite(s)
SIE544 or SIE 545
Syllabus
FallCourse Description
This course is devoted to basic theory and algorithms for nonlinear optimization (unconstrained and constrained), including: understanding how algorithms work; choosing appropriate method to solve the problem in different situations; interpreting the performance of algorithms and analyzing the solutions for decision making.