[LintCode] Maximum Gap 求最大间距

本文介绍了一个算法问题——求最大间距,即在一个未排序数组中找到排序后相邻元素的最大差距。提出了一个线性时间和空间复杂度的解决方案,并给出了详细的实现代码。

Given an unsorted array, find the maximum difference between the successive elements in its sorted form.

Return 0 if the array contains less than 2 elements.

 Notice

You may assume all elements in the array are non-negative integers and fit in the 32-bit signed integer range.

Example

Given [1, 9, 2, 5], the sorted form of it is[1, 2, 5, 9], the maximum gap is between 5and 9 = 4.

Challenge 

Sort is easy but will cost O(nlogn) time. Try to solve it in linear time and space.

LeetCode上的原题,请参见我之前的博客Maximum Gap

class Solution {
public:
    /**
     * @param nums: a vector of integers
     * @return: the maximum difference
     */
    int maximumGap(vector<int> nums) {
        if (nums.empty()) return 0;
        int mx = INT_MIN, mn = INT_MAX, n = nums.size();
        for (int d : nums) {
            mx = max(mx, d);
            mn = min(mn, d);
        }
        int size = (mx - mn) / n + 1;
        int bucket_num = (mx - mn) / size + 1;
        vector<int> bucket_min(bucket_num, INT_MAX);
        vector<int> bucket_max(bucket_num, INT_MIN);
        set<int> s;
        for (int d : nums) {
            int idx = (d - mn) / size;
            bucket_min[idx] = min(bucket_min[idx], d);
            bucket_max[idx] = max(bucket_max[idx], d);
            s.insert(idx);
        }
        int pre = 0, res = 0;
        for (int i = 1; i < n; ++i) {
            if (!s.count(i)) continue;
            res = max(res, bucket_min[i] - bucket_max[pre]);
            pre = i;
        }
        return res;
    }
};

本文转自博客园Grandyang的博客,原文链接:求最大间距[LintCode] Maximum Gap ,如需转载请自行联系原博主。

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