mathworks/robust-matlab-2018
Code and Examples for "Developing Robust MATLAB Code"
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As the size and complexity of your MATLAB application increases, you want make sure to structure software projects well, ensuring users can run code without encountering unexpected behaviour or errors, for example. In this session at the MATLAB Computational Finance Conference 2018, we learned about relevant advanced MATLAB software development capabilities, including error handling, object-oriented programming (OOP), unit testing, version control, and change tracking.
Cite As
Paul Peeling (2026). mathworks/robust-matlab-2018 (https://github.com/mathworks/robust-matlab-2018), GitHub. Retrieved .
Acknowledgements
Inspired: Cluster-Head based Routing in VANET
General Information
- Version 1.0.0.0 (706 KB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
