Given an array of integers nums, calculate the pivot index of this array.

The pivot index is the index where the sum of all the numbers strictly to the left of the index is equal to the sum of all the numbers strictly to the index's right.

If the index is on the left edge of the array, then the left sum is 0 because there are no elements to the left. This also applies to the right edge of the array.

Return the leftmost pivot index. If no such index exists, return -1.

Input: nums = [1,7,3,6,5,6]
Output: 3
Explanation: The pivot index is 3.
Left sum = nums[0] + nums[1] + nums[2] = 1 + 7 + 3 = 11
Right sum = nums[4] + nums[5] = 5 + 6 = 11
Input: nums = [1,2,3]
Output: -1
Explanation: There is no index that satisfies the conditions in the problem statement.
Input: nums = [2,1,-1]
Output: 0
Explanation: The pivot index is 0.
Left sum = 0 (no elements to the left of index 0)
Right sum = nums[1] + nums[2] = 1 + -1 = 0

Contents

In this approach, what we are going to do is compute the total sum of array total, then keep checking left side elements sum and right side elements for every element we loop through, if they match at an index, then we have found the answer, otherwise we just return -1.

Implementation details
public class FindPivotIndex { static int usingTwoPointers(int[] nums) { int total = 0; for(int i=0; i<nums.length; i++) { total += nums[i]; } int leftSum = 0; for(int i=0;i <nums.length; i++) { int rightSum = total - nums[i] - leftSum; if(leftSum == rightSum) { return i; } leftSum += nums[i]; } return -1; } }
Complexity Analysis:

Time complexity: Above code runs in O(n) time where n is the input array nums length.
Space complexity: O(1).

Above implementations source code can be found at GitHub link for Java code