I need to simulate a 2-D problem with DGFEM. I have been advised to use C/C++ for a code that delivers quick and efficient results, however, I am not very comfortable with them, and my base code happens to be in MATLAB. Would Julia be a better choice than MATLAB, comparable to the performance of C/C++?
Julia is faster than Matlab, but I think the speedness of solution is not the problem, the most important issue is to write a correct code especially for complicated models, so I do not recommend using C language if you are a beginner in it.
Julia/Python/Matlab/R language are similar in simplicity. Julia is the faster.
You can see the difference in this sheet
https://sebastianraschka.com/blog/2014/matrix_cheatsheet_table.html
MATLAB is the ever most professional computational tool with no comparison to other coding tool. C/C++, Java etc are the elements been used in building MATLAB. It is just amazing and the quickest tool ever.
Matlab is the easiest to learn and probably the fastest to implement. They are a lot a tools and documentation.
Julia is still a newcomer. But also very simple to learn and very fast!
Here is a good article from Prof. Driscoll
https://tobydriscoll.net/blog/matlab-vs.-julia-vs.-python/
MATLAB is probably still the easiest to learn for basic numerical tasks. Meticulous documentation and decades of contributed learning tools definitely matter. Julia is a latecomer, programming in Julia may be take a while to feel comfortable with.
As mentionned above and in my opinion using Matlab is the best choice no mather in academic career or professional career . Use the programming langage that you're confortable with ; you"ll save a lot iff time and headache.
- Badges
- Science method