--- ###### tags: `Leetcode` --- # Leetcode 1480. Running Sum of 1d Array [link](https://leetcode.com/problems/running-sum-of-1d-array/) --- 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 --- 題意: 給定一個陣列,回傳一個「累積和」陣列 --- We can iterate the array and the i item is the sum of the i-1 item + the original i item. Notice that the first element is simply the original first item. #### Solution 1 ```python= class Solution: def runningSum(self, nums: List[int]) -> List[int]: lst = [] for i in range(len(nums)): if i == 0 : lst.append(nums[i]) else: lst.append(nums[i] + lst[i - 1]) return lst ``` O(T): O(n) O(S): O(n) --- Directly update the original array. #### Solution 2 ```python= class Solution: def runningSum(self, nums: List[int]) -> List[int]: for i in range(1, len(nums)): nums[i] = nums[i] + nums[i - 1] return nums ``` O(T): O(n) O(S): O(1)