向量化算术运算 [英] Vectorizing Arithmetic Operations

问题描述

我正在尝试通过将一些迭代转换为Matlab中的矩阵运算来提高代码的性能.其中之一是以下代码，我需要弄清楚如何避免在操作中使用循环.

I am trying to improve the performance of my code by converting some iterations into matrix operations in Matlab. One of these is the following code and I need to figure out how can I avoid using loop in the operation.

此处gamma_ic&弓是二维矩阵. c& z是从外部迭代中设置的变量.

Here gamma_ic & bow are two dimensional matrices. c & z are variables set from outer iterations.

for z=1:maxNumber,
    for c=1:K,
        n = 0;
        for y2=1:number_documents,
            n = n+(gamma_ic(y2,c)*bow(y2,z));
        end
        mu(z,c) = n / 2.3;
    end
end

感谢您的帮助.

编辑.添加了c和z的循环.迭代一直进行到gamma_ic& amp;中的最大索引为止.弓.添加了mu，这是另一个二维矩阵，用于显示n的用法.

Edit. Added The loop for c and z. The iteration goes on till the maximum indices in gamma_ic & bow. Added mu which is another two dimensional matrix to show usage of n.

推荐答案

这应该对您有用，以获得mu，这似乎是所需的输出-

This should work for you to get mu, which seems to be the desired output -

mu = bow(1:number_documents,1:maxNumber).'*gamma_ic(1:number_documents,1:K)./2.3

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