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[LeetCode] 346. Moving Average from Data Stream #346

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grandyang opened this issue May 30, 2019 · 1 comment
Open

[LeetCode] 346. Moving Average from Data Stream #346

grandyang opened this issue May 30, 2019 · 1 comment

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@grandyang
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grandyang commented May 30, 2019

 

Given a stream of integers and a window size, calculate the moving average of all integers in the sliding window.

Example:

MovingAverage m = new MovingAverage(3);
m.next(1) = 1
m.next(10) = (1 + 10) / 2
m.next(3) = (1 + 10 + 3) / 3
m.next(5) = (10 + 3 + 5) / 3

 

这道题定义了一个MovingAverage类,里面可以存固定个数字,然后我们每次读入一个数字,如果加上这个数字后总个数大于限制的个数,那么我们移除最早进入的数字,然后返回更新后的平均数,这种先进先出的特性最适合使用队列queue来做,而且我们还需要一个double型的变量sum来记录当前所有数字之和,这样有新数字进入后,如果没有超出限制个数,则sum加上这个数字,如果超出了,那么sum先减去最早的数字,再加上这个数字,然后返回sum除以queue的个数即可:

 

class MovingAverage {
public:
    MovingAverage(int size) {
        this->size = size;
        sum = 0;
    }
    
    double next(int val) {
        if (q.size() >= size) {
            sum -= q.front(); q.pop();
        }
        q.push(val);
        sum += val;
        return sum / q.size();
    }
    
private:
    queue<int> q;
    int size;
    double sum;
};

 

类似题目:

https://leetcode.com/problems/moving-average-from-data-stream/

 

LeetCode All in One 题目讲解汇总(持续更新中...)

@pengxu7
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pengxu7 commented Aug 2, 2019

you can simply use a vector which wraps when there are more than "size" of elements, much more cache friendly.

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