| Title |
MATLAB Programming |
| Abstract |
MATLAB is a programming and numeric computing platform used to analyze data, develop algorithms and create models. This roadmap includes topics that provide a basic introduction to MATLAB, discuss how to write MATLAB code that can be compiled for speed, and offer tips on getting the best performance out of MATLAB. The example code in these topics was run and verified using MATLAB 2017a through 2021a. Most of it (outside of Mex and other FFI examples) should also work with slight modifications in GNU Octave. |
| Authors |
['Ben Trumbore, Brandon Barker, Nate Woody (original)'] |
| Expertise Level |
None |
| Learning Outcome |
None |
| Learning Resource Type |
asynchronous online training |
| Target Group |
['Researchers', 'Research groups', 'Student'] |
| Keywords |
['MATLAB', 'programming', 'scripting', 'compiling', 'functions', 'GPU', 'data types', 'arrays'] |
| Cost |
None |
| Duration |
240 |
| Language |
en |
| License |
None |
| Resource URL Type |
URL |
| Start Datetime |
None |
| URL |
https://cvw.cac.cornell.edu/matlab |
| Version Date |
2023-08 |
| Provider ID |
urn:ogf.org:glue2:access-ci.org:resource:cider:infrastructure.organizations:898 |
| Rating |
None |
