Leetcode 1685: Sum of Absolute Differences in a Sorted Array
You are given a sorted integer array
nums
. Build and return an integer array result
such that for each index i
, result[i]
is equal to the summation of absolute differences between nums[i]
and all other elements in the array.Problem
Approach
Steps
Complexity
Input: The input consists of a sorted integer array `nums`.
Example: nums = [2, 3, 5]
Constraints:
• 2 <= nums.length <= 10^5
• 1 <= nums[i] <= nums[i + 1] <= 10^4
Output: Return an integer array `result` where `result[i]` is the summation of the absolute differences between `nums[i]` and all the other elements in `nums`.
Example: Output: [4, 3, 5]
Constraints:
Goal: The goal is to calculate the summation of absolute differences for each element of the array `nums`.
Steps:
• Start by calculating the absolute differences for the first element and store it.
• Then, use an iterative approach to build the result array, where each element `i` is calculated using the differences from the previous element and its neighbors.
Goal: The array `nums` must satisfy the following constraints:
Steps:
• 2 <= nums.length <= 10^5
• 1 <= nums[i] <= nums[i + 1] <= 10^4
Assumptions:
• The array `nums` is already sorted in non-decreasing order.
• Input: Input: nums = [2, 4, 6]
• Explanation: The result for each element is the sum of absolute differences between the element and all other elements in the array.
Approach: To solve this problem, we need to compute the absolute differences efficiently. Since the array is sorted, we can make use of this property to minimize redundant calculations.
Observations:
• The array is sorted, which means we can calculate the differences incrementally.
• We can calculate the result iteratively by adjusting the previous result for the current element rather than recalculating the entire sum each time.
Steps:
• Calculate the total absolute difference for the first element and store it in the result array.
• For each subsequent element, adjust the previous result by adding or subtracting the differences with the adjacent elements, as the array is sorted.
Empty Inputs:
• The input array `nums` should not be empty, as the problem defines that the array length is at least 2.
Large Inputs:
• For large arrays (up to 10^5 elements), the solution needs to be efficient.
Special Values:
• All elements in the array are the same, the result will be an array of zeros since there are no differences.
Constraints:
• Ensure that the solution works within the time limits for the largest input size.
vector<int> getSumAbsoluteDifferences(vector<int>& nums) {
int z = 0, n = nums.size();
for(int i = 0; i < n; i++)
z += nums[i] - nums[0];
vector<int> ans(n, 0);
ans[0] = z;
for(int i = 1; i < n; i++)
ans[i] = ans[i-1] + i * (nums[i] - nums[i-1]) - (n - i)* (nums[i] - nums[i-1]);
return ans;
}
1 : Function Definition
vector<int> getSumAbsoluteDifferences(vector<int>& nums) {
Define the function 'getSumAbsoluteDifferences' which takes a vector of integers 'nums' and returns a vector of integers containing the sum of absolute differences.
2 : Variable Initialization
int z = 0, n = nums.size();
Initialize the variable 'z' to 0 to accumulate the sum of differences, and 'n' to store the size of the 'nums' vector.
3 : Loop Through Array
for(int i = 0; i < n; i++)
Start a loop to iterate through each element in the 'nums' array.
4 : Sum Absolute Differences
z += nums[i] - nums[0];
In each iteration, accumulate the difference between the current element and the first element of the 'nums' array to 'z'.
5 : Array Initialization
vector<int> ans(n, 0);
Initialize a vector 'ans' of size 'n' with all elements set to 0. This will store the final results.
6 : Set First Element of Result
ans[0] = z;
Set the first element of the 'ans' vector to 'z', which is the sum of absolute differences calculated for the first element.
7 : Loop Through Remaining Elements
for(int i = 1; i < n; i++)
Start a loop to process each element in the 'nums' array starting from the second element.
8 : Calculate Differences for Each Element
ans[i] = ans[i-1] + i * (nums[i] - nums[i-1]) - (n - i)* (nums[i] - nums[i-1]);
Calculate the sum of absolute differences for the current element by adjusting the previous result. This step uses the previously calculated value to efficiently compute the next result.
9 : Return Statement
return ans;
Return the vector 'ans' containing the sum of absolute differences for each element.
Best Case: O(n)
Average Case: O(n)
Worst Case: O(n)
Description: The time complexity is O(n) as we process each element in the array only once.
Best Case: O(n)
Worst Case: O(n)
Description: The space complexity is O(n) as we store the result array.
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