There will be an optional short course before the main workshop, covering some
linear algebra theory combined with an introduction to open source software
tools for mathematical computing. This short course will run August 9-11 and
will involve lectures on the theory, combined with computational
examples. Notes will be posted.
Schedule
Day 1: Wednesday August 9
| Start |
End |
Location |
Title |
Description |
| 09:00 |
10:00 |
ESB 4133 (PIMS lounge) |
Breakfast |
|
| 10:00 |
12:00 |
ESB 2012 |
Lecture |
Bash shell, version control with git and GitHub, Jupyter notebooks, and programming in Python. |
| 13:00 |
15:00 |
ESB 2012 |
Lecture |
Linear systems, condition number, sparse direct tehcniques, conjugate gradient (Krylov subspaces) methods and preconditioning |
| 15:00 |
18:00 |
ESB 5104/5106 |
Exercises |
Student exercises related to the day’s material. |
Day 2: Thursday August 10
| Start |
End |
Location |
Title |
Description |
| 10:00 |
12:00 |
ESB 2012 |
Lecture |
Scientific computing in Python: NumPy, SciPy, matplotlib and pandas. |
| 13:00 |
15:00 |
ESB 2012 |
Lecture |
Least squares (regression), vector Newton’s method, nonlinear optimization (Newton’s method, gradient descent). |
| 15:00 |
18:00 |
ESB 5104/5106 |
Exercises |
|
Day 3: Friday August 11
| Start |
End |
Location |
Title |
Description |
| 10:00 |
12:00 |
ESB 2012 |
Lecture |
Change of basis (FFT), eigen-analysis, singular value decomposition (principle component analysis) |
| 13:00 |
15:00 |
ESB 2012 |
Lecture |
Numerical computing with numpy and basic machine learning with scikit-learn |
| 15:00 |
18:00 |
ESB 5104/5106 |
Exercises |
|
