mathworks/robust-matlab-2018

版本 1.0.0.0 (705.8 KB) 作者: Paul Peeling
Code and Examples for "Developing Robust MATLAB Code"
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更新时间 2018/6/8
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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.

引用格式

Paul Peeling (2024). mathworks/robust-matlab-2018 (https://github.com/mathworks/robust-matlab-2018), GitHub. 检索时间: .

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