mathworks/robust-matlab-2018

Version 1.0.0.0 (706 KB) by Paul Peeling
Code and Examples for "Developing Robust MATLAB Code"
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Updated 8 Jun 2018
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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 (2025). mathworks/robust-matlab-2018 (https://github.com/mathworks/robust-matlab-2018), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Acknowledgements

Inspired: Cluster-Head based Routing in VANET

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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.