Given an array of n positive integers and a positive integer s, find the minimal length of a contiguous subarray of which the sum ≥ s. If there isn't one, return 0 instead.
Example:
Input:s = 7, nums = [2,3,1,2,4,3]Output: 2 Explanation: the subarray[4,3]has the minimal length under the problem constraint.
Follow up:
If you have figured out the O(n) solution, try coding another solution of which the time complexity is O(n log n).
Companies:
Goldman Sachs, Facebook, Microsoft
Related Topics:
Array, Two Pointers, Binary Search
Similar Questions:
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- Maximum Size Subarray Sum Equals k (Medium)
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// OJ: https://leetcode.com/problems/minimum-size-subarray-sum/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
int minSubArrayLen(int s, vector<int>& nums) {
int sum = 0, i = 0, j = 0, N = nums.size(), ans = INT_MAX;
while (j < N) {
while (j < N && sum < s) sum += nums[j++];
if (sum < s) break;
while (i < j && sum >= s) sum -= nums[i++];
ans = min(ans, j - i + 1);
}
return ans == INT_MAX ? 0 : ans;
}
};// OJ: https://leetcode.com/problems/minimum-size-subarray-sum/
// Author: github.com/lzl124631x
// Time: O(N)
// Space: O(1)
class Solution {
public:
int minSubArrayLen(int s, vector<int>& A) {
int i = 0, N = A.size(), ans = N + 1, sum = 0;
for (int j = 0; j < N; ++j) {
sum += A[j];
while (sum >= s) {
ans = min(ans, j - i + 1);
sum -= A[i++];
}
}
return ans == N + 1 ? 0 : ans;
}
};