Given an integer array nums, return the number of range sums that lie in [lower, upper] inclusive.
Range sum S(i, j) is defined as the sum of the elements in nums between indices i and j (i ≤ j), inclusive.
Note:
A naive algorithm of O(n2) is trivial. You MUST do better than that.
Example:
Given nums = [-2, 5, -1], lower = -2, upper = 2,
Return 3.
The three ranges are : [0, 0], [2, 2], [0, 2] and their respective sums are: -2, -1, 2.

详见:https://leetcode.com/problems/count-of-range-sum/description/

class Solution {
public:
int countRangeSum(vector<int>& nums, int lower, int upper)
{
vector<long> sums(nums.size() + 1, 0);
for (int i = 0; i < nums.size(); ++i)
{
sums[i + 1] = sums[i] + nums[i];
}
return countAndMergeSort(sums, 0, sums.size(), lower, upper);
}
int countAndMergeSort(vector<long> &sums, int start, int end, int lower, int upper)
{
if (end-start<=1)
{
return 0;
}
int mid = start + (end - start) / 2;
int cnt = countAndMergeSort(sums, start, mid, lower, upper) + countAndMergeSort(sums, mid, end, lower, upper);
int j = mid, k = mid, t = mid;
vector<int> cache(end - start, 0);
for (int i = start, r = 0; i < mid; ++i, ++r)
{
while (k < end && sums[k] - sums[i] < lower)
{
++k;
}
while (j < end && sums[j] - sums[i] <= upper)
{
++j;
}
while (t < end && sums[t] < sums[i])
{
cache[r++] = sums[t++];
}
cache[r] = sums[i];
cnt += j - k;
}
copy(cache.begin(), cache.begin() + t - start, sums.begin() + start);
return cnt;
}
};

参考:https://www.cnblogs.com/grandyang/p/5162678.html

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