Numerical Analysis (Aug-Dec 2017)
Class timings
- Tuesday: 9 am – 10:30 am
- Friday: 11 am – 12:30 pm
Grading
- Assignments : 30%
- Mid-term exam : 35%
- Final exam : 35%
References
- K. Atkinson, Introduction to Numerical Analysis, Wiley
- David Kincaid and E. Ward Cheney, Numerical Analysis: Mathematics of Scientific Computing
Getting the codes
You can download all the code using git
git clone https://github.com/cpraveen/na
This will download all the code inside the directory called na. Alternately, you can download a zip file containing all the code here.
You can also read the codes and notebook online here. If you click on any notebook, it will render the notebook. However, you cannot edit but must download the file to your computer and open it locally.
Starting ipython
ipython is installed on all the computers in the lab. Open a terminal and type the following to start ipython notebook
ipython notebook
This should start the notebook in your web browser.