Leetcode 724: Find Pivot Index
Given an array of integers, find the pivot index where the sum of elements to the left equals the sum of elements to the right.
Problem
Approach
Steps
Complexity
Input: The input consists of an array of integers nums.
Example: nums = [5, 6, 4, 2]
Constraints:
• 1 <= nums.length <= 10^4
• -1000 <= nums[i] <= 1000
Output: The output is the leftmost pivot index where the sum of elements on the left equals the sum of elements on the right.
Example: Output: 1
Constraints:
• Return -1 if no pivot index exists.
Goal: Determine the index where the sum of the left side of the array equals the sum of the right side.
Steps:
• 1. Compute the total sum of the array.
• 2. Traverse the array, updating the left sum and comparing it to the right sum (initially the total sum).
• 3. If the left sum equals the right sum at any index, return that index.
• 4. If no such index exists, return -1.
Goal: Constraints are provided to define the input limits.
Steps:
• The length of the input array nums is between 1 and 10^4.
• Each element in nums is an integer between -1000 and 1000.
Assumptions:
• The input array will not be empty.
• The pivot index will be calculated by comparing sums of integers on both sides.
• Input: Input: [2, 4, 1, 3, 5]
• Explanation: The sum to the left of index 2 is 6 (2 + 4), and the sum to the right is 8 (3 + 5). Thus, the pivot index is 2.
Approach: The approach involves calculating the total sum and iterating through the array while maintaining running sums of the left and right sides.
Observations:
• We can use a running left sum and calculate the right sum by subtracting the current element from the total sum.
• If the left sum equals the right sum at any index, return that index. Otherwise, continue the search.
Steps:
• 1. Calculate the total sum of the array.
• 2. Iterate through the array while updating the left sum.
• 3. For each index, subtract the current element from the total sum to get the right sum.
• 4. Compare the left sum and the right sum, and return the index if they are equal.
Empty Inputs:
• Handle cases where the input array has only one element.
Large Inputs:
• Ensure the solution works efficiently for large arrays (up to 10^4 elements).
Special Values:
• Consider arrays with negative numbers or zeros.
Constraints:
• Handle arrays with both positive and negative values.
int pivotIndex(vector<int>& nums) {
int left = 0;
int right = accumulate(nums.begin(), nums.end(), 0);
for(int i = 0; i < nums.size(); i++) {
right -= nums[i];
if(right == left) return i;
left += nums[i];
}
return -1;
}
1 : Function Definition
int pivotIndex(vector<int>& nums) {
Defines a function called pivotIndex that accepts a reference to a vector of integers.
2 : Variable Initialization
int left = 0;
Initializes a variable 'left' to 0, representing the sum of elements to the left of the pivot.
3 : Variable Initialization
int right = accumulate(nums.begin(), nums.end(), 0);
Initializes 'right' to the total sum of all elements in the vector 'nums'.
4 : Loop
for(int i = 0; i < nums.size(); i++) {
Starts a loop that iterates through each element of the vector 'nums'.
5 : Operation
right -= nums[i];
Subtracts the current element from the 'right' sum to exclude it from the right side of the pivot.
6 : Condition
if(right == left) return i;
Checks if the sum of elements to the left is equal to the sum of elements to the right. If so, returns the index.
7 : Operation
left += nums[i];
Adds the current element to the 'left' sum to include it in the left side of the pivot.
8 : Return
return -1;
Returns -1 if no pivot index is found.
Best Case: O(n)
Average Case: O(n)
Worst Case: O(n)
Description: The time complexity is linear because we need to traverse the array once to compute the total sum and then once more to find the pivot index.
Best Case: O(1)
Worst Case: O(1)
Description: The space complexity is constant, as we only use a few extra variables for sum calculations.
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