Given an array of integers nums
and an integer k
, return the total number of continuous subarrays whose sum equals to k
.
Example 1:
Input: nums = [1,1,1], k = 2 Output: 2
Example 2:
Input: nums = [1,2,3], k = 3 Output: 2
Constraints:
1 <= nums.length <= 2 * 104
-1000 <= nums[i] <= 1000
-107 <= k <= 107
[Array] [Hash Table] [Prefix Sum]
- Two Sum (Easy)
- Continuous Subarray Sum (Medium)
- Subarray Product Less Than K (Medium)
- Find Pivot Index (Easy)
- Subarray Sums Divisible by K (Medium)
- Minimum Operations to Reduce X to Zero (Medium)
Hint 1
Will Brute force work here? Try to optimize it.Hint 2
Can we optimize it by using some extra space?Hint 3
What about storing sum frequencies in a hash table? Will it be useful?Hint 4
sum(i,j)=sum(0,j)-sum(0,i), where sum(i,j) represents the sum of all the elements from index i to j-1.Can we use this property to optimize it.