209. Minimum Size Subarray Sum

Given an array of n positive integers and a positive integer s, find the minimal length of a subarray of which the sum ≥ s. If there isn’t one, return 0 instead.

For example, given the array [2,3,1,2,4,3] and s = 7,

the subarray [4,3] has the minimal length under the problem constraint.

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More practice:

If you have figured out the O(n) solution, try coding another solution of which the time complexity is O(n log n).

O(n^2)解法：两重循环，以长度len为外重循环，内重循环控制subarray的起始位置。

class Solution {
public:
int minSubArrayLen(int s, vector<int>& nums) {
if(nums.size() == 0){
return 0;
}
int sum = 0;
for(int len = 1; len <= nums.size(); len ++){
sum = 0;
for(int ind = 0; ind < len; ind ++){    //count the subarray starts from the 0th num, whose lenth is len;
sum += nums[ind];
}
if(sum >= s)
return len;

for(int beg = 1; beg <= nums.size() - len; beg ++){
sum = sum - nums[beg - 1] + nums[beg + len - 1];
if(sum >= s)
return len;
}
}

}
};

以下转自：http://www.cnblogs.com/grandyang/p/4501934.html

O(n)解法：

我们需要定义两个指针left和right，分别记录子数组的左右的边界位置，然后我们让right向右移，直到子数组和大于等于给定值或者right达到数组末尾，此时我们更新最短距离，并且将left像右移一位，然后再sum中减去移去的值，然后重复上面的步骤，直到right到达末尾，且left到达临界位置，即要么到达边界，要么再往右移动，和就会小于给定值。

// O(n)
class Solution {
public:
int minSubArrayLen(int s, vector<int>& nums) {
if (nums.empty()) return 0;
int left = 0, right = 0, sum = 0, len = nums.size(), res = len + 1;
while (right < len) {
while (sum < s && right < len) {
sum += nums[right++];
}
while (sum >= s) {
res = min(res, right - left);
sum -= nums[left++];
}
}
return res == len + 1 ? 0 : res;
}
};

O（nlogn）解法：

这个解法要用到二分查找法，思路是，我们建立一个比原数组长一位的sums数组，其中sums[i]表示nums数组中[0, i - 1]的和，然后我们对于sums中每一个值sums[i]，用二分查找法找到子数组的右边界位置，使该子数组之和大于sums[i] + s，然后我们更新最短长度的距离即可。

class Solution {
public:
int minSubArrayLen(int s, vector<int>& nums) {
int len = nums.size(), sums[len + 1] = {0}, res = len + 1;
for (int i = 1; i < len + 1; ++i) sums[i] = sums[i - 1] + nums[i - 1];
for (int i = 0; i < len + 1; ++i) {
int right = searchRight(i + 1, len, sums[i] + s, sums);
if (right == len + 1) break;
if (res > right - i) res = right - i;
}
return res == len + 1 ? 0 : res;
}
int searchRight(int left, int right, int key, int sums[]) {
while (left <= right) {
int mid = (left + right) / 2;
if (sums[mid] >= key) right = mid - 1;
else left = mid + 1;
}
return left;
}
};