- Joined
- 11/5/14
- Messages
- 295
- Points
- 53
Hi friends,
I have been self-learning numerical methods and ODEs for a while. I figure, the best way to learn numerical methods is to build solvers, write naive implementations of matrix methods (of course these are grossly inefficient) and study their myriad applications.
I've wanted to write theory, comments and remarks alongside C++ code. I am using the LaTeX extension for Visual Studio. While not a robust solution, it makes my life easy, it's a crude version of Jupyter's notebook. Here's how it looks :
Do you guys like it? If you think, there are better methods to do something like this, I'd love to hear.
Taking notes in LaTeX, copying and pasting code snippets was becoming more laborious, especially since I also have to take exams on these areas, and I have limited time. Theory interspersed with code and implementation is just what you'd need, when you're learning by doing.
Cheers,
Quasar.
I have been self-learning numerical methods and ODEs for a while. I figure, the best way to learn numerical methods is to build solvers, write naive implementations of matrix methods (of course these are grossly inefficient) and study their myriad applications.
I've wanted to write theory, comments and remarks alongside C++ code. I am using the LaTeX extension for Visual Studio. While not a robust solution, it makes my life easy, it's a crude version of Jupyter's notebook. Here's how it looks :
Do you guys like it? If you think, there are better methods to do something like this, I'd love to hear.
Taking notes in LaTeX, copying and pasting code snippets was becoming more laborious, especially since I also have to take exams on these areas, and I have limited time. Theory interspersed with code and implementation is just what you'd need, when you're learning by doing.
Cheers,
Quasar.
