MAE 274. Model Reduction (4 units)
Link to catalog page: https://catalog.ucsd.edu/courses/MAE.html#mae274
Description
Students will learn the mathematical tools, theory, and algorithms of model reduction so as to reproduce and predict behaviors in complex systems with low-dimensional models. Covers a wide range of methods and theory: system-theoretic (balanced truncation, transfer-function interpolation), data-driven and projection-based (proper orthogonal decomposition), and model learning approaches (dynamic mode decomposition, operator inference, Loewner-based system identification, eigensystem realization).
Prerequisite courses
MAE 274 has no prerequisite courses.
Successor courses
No courses have MAE 274 as a prerequisite.