CHBE_V 552 - 201

Optimization Methods

Basic concepts of optimization and structure of mathematical models. Gradient methods. Direct search methods. Gauss-Newton method for parameter optimization in models described by ordinary and partial differential equations. Constrained optimization. Statistical inferences. Design of experiments.

Section
CHBE_V 552 -201
Campus
Vancouver
Delivery Mode
In person
Term
2025-26 Winter Term 2 (UBC-V)
Instructional Format
Lecture
Credits
3.00
Start Date
End Date
Days
Monday, Wednesday
Start Time
11:30 am
End Time
01:00 pm
Instructor(s)
  • Yankai Cao
  • Bhushan Gopaluni

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