Given an array nums
. We define a running sum of an array as runningSum[i] = sum(nums[0]…nums[i])
.
Return the running sum of nums
.
Example 1:
Input: nums = [1,2,3,4]
Output: [1,3,6,10]
Explanation: Running sum is obtained as follows: [1, 1+2, 1+2+3, 1+2+3+4].
Example 2:
Input: nums = [1,1,1,1,1]
Output: [1,2,3,4,5]
Explanation: Running sum is obtained as follows: [1, 1+1, 1+1+1, 1+1+1+1, 1+1+1+1+1].
Example 3:
Input: nums = [3,1,2,10,1]
Output: [3,4,6,16,17]
Constraints:
1 <= nums.length <= 1000
-10^6 <= nums[i] <= 10^6
Create another array to store the sum for each step.
- Wednesday, 14 October, 2020
- Time Complexity:
$O(n)$ - Space Complexity:
$O(1)$ - Runtime: 4 ms, faster than 98.18% of C online submissions for Running Sum of 1d Array.
- Memory Usage: 6.8 MB, less than 50.00% of C online submissions for Running Sum of 1d Array.
// Note: The returned array must be malloced, assume caller calls free().
int *runningSum(int *nums, int numsSize, int *returnSize) {
// Create an empty array which has the same length to the given one.
*returnSize = numsSize;
int *output = (int *)malloc((*returnSize) * sizeof(int));
// Because the start point is the 2nd element in the array, we need to
// assign the first one.
output[0] = nums[0];
for (int i = 1; i < numsSize; i++) {
output[i] = output[i - 1] + nums[i];
}
return output;
}