Call function for all elements in an array

后端 未结 4 1001
鱼传尺愫
鱼传尺愫 2021-01-03 08:20

Let\'s say I have a function, like:

function [result] = Square( x )
    result = x * x;
end

And I have an array like the following,

相关标签:
4条回答
  • 2021-01-03 08:48

    You want arrayfun.

    arrayfun(@Square, x)
    

    See help arrayfun

    (tested only in GNU Octave, I do not have MATLAB)

    0 讨论(0)
  • 2021-01-03 08:54

    I am going to assume that you will not be doing something as simple as a square operation and what you are trying to do is not already vectorised in MATLAB.

    It is better to call the function once, and do the loop in the function. As the number of elements increase, you will notice significant increase in operation time.

    Let our functions be:

    function result = getSquare(x)
        result = x*x; % I did not use .* on purpose
    end
    
    function result = getSquareVec(x)
    result = zeros(1,numel(x));
        for idx = 1:numel(x)
            result(:,idx) = x(idx)*x(idx);
        end
    end
    

    And let's call them from a script:

    y = 1:10000;
    tic;
    for idx = 1:numel(y)
        res = getSquare(y(idx));
    end
    toc
    
    tic;
        res = getSquareVec(y);
    toc
    

    I ran the code a couple of times and turns out calling the function only once is at least twice as fast.

    Elapsed time is 0.020524 seconds.
    Elapsed time is 0.008560 seconds.
    
    Elapsed time is 0.019019 seconds.
    Elapsed time is 0.007661 seconds.
    
    Elapsed time is 0.022532 seconds.
    Elapsed time is 0.006731 seconds.
    
    Elapsed time is 0.023051 seconds.
    Elapsed time is 0.005951 seconds.
    
    0 讨论(0)
  • 2021-01-03 09:02

    For the example you give:

    y = x.^2;   % or
    y = x.*x;
    

    in which .* and .^ are the element-wise versions of * and ^. This is the simplest, fastest way there is.

    More general:

    y = arrayfun(@Square, x);
    

    which can be elegant, but it's usually pretty slow compared to

    y = zeros(size(x));
    for ii = 1:numel(x)
        y(ii) = Square(x(ii)); end
    

    I'd actually advise to stay away from arrayfun until profiling has showed that it is faster than a plain loop. Which will be seldom, if ever.

    In new Matlab versions (R2008 and up), the JIT accelerates loops so effectively that things like arrayfun might actually disappear in a future release.

    As an aside: note that I've used ii instead of i as the loop variable. In Matlab, i and j are built-in names for the imaginary unit. If you use it as a variable name, you'll lose some performance due to the necessary name resolution required. Using anything other than i or j will prevent that.

    0 讨论(0)
  • 2021-01-03 09:03

    Have you considered the element-by-element operator .*?

    See the documentation for arithmetic operators.

    0 讨论(0)
提交回复
热议问题