mathworks/robust-matlab-2018

Code and Examples for "Developing Robust MATLAB Code"
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Updated Fri, 08 Jun 2018 16:14:46 +0000

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 (2024). mathworks/robust-matlab-2018 (https://github.com/mathworks/robust-matlab-2018), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
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Acknowledgements

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Version Published Release Notes
1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.