

 

Control
and optimization of distributed systems and partial differential equations
 Course
material to download  
Problem
sets
Project
Course
material
Lecture
notes
Slides
used in class  Lecture
0: Introduction to EE291  ME236  CE291, 2
slides per page, 6
slides per page
 Lecture
1: A quick introduction to PDEs, 2
slides per page, 6
slides per page
 Lecture
2: Self similar solutions, 2
slides per page, 6
slides per page
 Lecture
3: Separation of variables, 2
slides per page, 6
slides per page
 Lecture
4: Characteristics, 2
slides per page, 6
slides per page
 Lecture
5: Conservation laws, 2
slides per page, 6
slides per page
 Lecture
6: Periodic solutions and stability, 2
slides per page, 6
slides per page
 Lecture 7: Differential flatness, 2
slides per page, 6
slides per page
 Lecture 8: Lyapunov stability, 2
slides per page, 6
slides per page
 Lecture 9: Hamilton Jacobi equations, 2
slides per page, 6
slides per page
 Lecture 10: Adjoint based optimization, 2
slides per page, 6
slides per page
 Lecture 11: Estmation of discretized PDEs using the Ensemble Kalman Filter, 2
slides per page, 6
slides per page
Bessel
functions

  

  