Best Practices for Programming MATLAB

最新推荐文章于 2025-12-05 17:04:10 发布

转载最新推荐文章于 2025-12-05 17:04:10 发布 · 697 阅读

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本文分享了MATLAB编程中的一些核心实践和工具使用建议，包括合理利用向量化操作、避免使用某些效率较低的命令如eval和global变量等，还强调了性能分析及代码优化的重要性。

These are the main coding practices and tools I always rely on.

Vectorize (but sensibly).
Use bsxfun in lieu of repmat where possible.
When looping through an array, loop down columns to access memory in the same order that MATLAB stores the data in.
Profile the code. I am often surprised about what is taking up the time.
Pay attention to messages from the Code Analyzer.
Use functions instead of scripts.
Don't "poof" variables into any workspaces. Translation, don't use load without a left-hand side; avoid eval, evalin, and assignin.
Use logical indexing instead of find.
Avoid global variables.
Don't use equality checks with floating point values.