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).
Learning computer network time, get to the idea of a sliding-window, looking for such a continuous string of title has a good reference value. First term accumulation from the left most array (beginning), and greater than or equal to know input cumulative value, and then begins to decrease from the left (considering the disordered array), the input value is smaller than the slide to the right. Like a long time to think. . .
class Solution { public : int minSubArrayLen ( int S, Vector < int > & the nums) { // thought sliding window int size = nums.size (); // Get array length int Result = INT_MAX; // define the return result int = sUM 0 ; // calculate the sum for comparison int the begin = 0 ; // sliding window starts for ( int I = 0 ; I <size; I ++ ) { sUM + = the nums [I]; // start array to the right cumulative the while (the Sum> = S) { // rightward sliding requirements are met, changing the value of the window start begin Result = min (Result, I - + begin . 1 ); the Sum - = the nums [begin]; begin ++ ; } } return the Result == INT_MAX? 0 : the Result; } };