matlab中怎么将for向量化,matlab中的循环向量化 | 学步园

栗子肉

于 2021-03-16 18:23:13 发布

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文章标签： matlab中怎么将for向量化

本文介绍了MATLAB中如何将for循环向量化以提高代码效率。通过简单和高级的向量化示例，如计算sine函数和使用repmat函数，阐述了向量化的基本概念和优势。并列举了一些常用的向量化函数，如cumsum、diff和reshape等，帮助读者更好地理解和应用向量化技巧。

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来自matlab 2011b的帮助文件，有时间会翻译一下。

Vectorizing Loops

The MATLAB software uses a matrix language, which means it is designed for vector and matrix operations. You can often speed up your code by using vectorizing algorithms that take advantage of this design. Vectorization means converting for and while loops

to equivalent vector or matrix operations.

Simple Example of Vectorizing

Here is one way to compute the sine of 1001 values ranging from 0 to 10:

i = 0;

for t = 0:.01:10

i = i + 1;

y(i) = sin(t);

end

A vectorized version of the same code is

t = 0:.01:10;

y = sin(t);

The second example executes much faster than the first and is the way MATLAB is meant to be used. Test this on your system by creating scripts that contain the code shown, and then using the tic and toc functions to measure the perf

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