Find minimum area of rectangle formed from given shuffled coordinates
Given an array arr[] of size N, the array represents N / 2 coordinates of a rectangle randomly shuffled with its X and Y coordinates. The task for this problem is to construct N / 2 pairs of (X, Y) coordinates by choosing X and Y from array arr[] in such a way that a rectangle that contains all these points has a minimum area.
Examples:
Input: arr[] = {4, 1, 3, 2, 3, 2, 1, 3}
Output: 1
Explanation: let pairs formed be (1, 3), (1, 3), (2, 3) and (2, 4) then the rectangle that contains these points will have a lower Left coordinate (1, 3) and upper right coordinate (2, 4). Hence area of rectangle = (xUpper – xLower) * (yUpper – yLower) = (2 – 1) * (4 – 3) = 1Input: arr[] = {5, 8, 5, 5, 7, 5}
Output: 0
Explanation: let pairs formed be (5, 5), (5, 7) and (5, 8) then the rectangle that contains these points will have a lower Left coordinate (5, 5) and upper right coordinate (5, 8). Hence area of rectangle = (xUpper – xLower) * (yUpper – yLower) = (5 – 5) * (8 – 5) = 0
Naive approach: The basic way to solve the problem is as follows:
The basic way to solve this problem is to generate all possible combinations by using a recursive approach.
Time Complexity: O(N!)
Auxiliary Space: O(1)
Efficient Approach: The above approach can be optimized based on the following idea:
Observation: Sort the array arr[] and it will always be better to take X coordinate’s as subarray of size N / 2 from sorted array A[] and Y coordinates as leftover elements.
The answer can be tracked for all subarrays of size N / 2 by using the sliding window technique.
Follow the steps below to solve the problem:
 Sort the array arr[].
 Create a variable ans to store the potential answer.
 Initialize window size from 0 to (N/2) – 1 by declaring low = 1 and high = N/2 – 1.
 Start a while loop and check if low==0 if yes,
 then, update the answer for the first slide
 Otherwise, break when the slide reaches the end high == N1
 else, update the ans for i^{th} slide and update the low and high pointers.
Below is the implementation of the above approach:
C++

Time Complexity: O(N)
Auxiliary Space: O(1)
Related Articles:
Given an array arr[] of size N, the array represents N / 2 coordinates of a rectangle randomly shuffled with its X and Y coordinates. The task for this problem is to construct N / 2 pairs of (X, Y) coordinates by choosing X and Y from array arr[] in such a way that a rectangle that contains all these points has a minimum area.
Examples:
Input: arr[] = {4, 1, 3, 2, 3, 2, 1, 3}
Output: 1
Explanation: let pairs formed be (1, 3), (1, 3), (2, 3) and (2, 4) then the rectangle that contains these points will have a lower Left coordinate (1, 3) and upper right coordinate (2, 4). Hence area of rectangle = (xUpper – xLower) * (yUpper – yLower) = (2 – 1) * (4 – 3) = 1Input: arr[] = {5, 8, 5, 5, 7, 5}
Output: 0
Explanation: let pairs formed be (5, 5), (5, 7) and (5, 8) then the rectangle that contains these points will have a lower Left coordinate (5, 5) and upper right coordinate (5, 8). Hence area of rectangle = (xUpper – xLower) * (yUpper – yLower) = (5 – 5) * (8 – 5) = 0
Naive approach: The basic way to solve the problem is as follows:
The basic way to solve this problem is to generate all possible combinations by using a recursive approach.
Time Complexity: O(N!)
Auxiliary Space: O(1)
Efficient Approach: The above approach can be optimized based on the following idea:
Observation: Sort the array arr[] and it will always be better to take X coordinate’s as subarray of size N / 2 from sorted array A[] and Y coordinates as leftover elements.
The answer can be tracked for all subarrays of size N / 2 by using the sliding window technique.
Follow the steps below to solve the problem:
 Sort the array arr[].
 Create a variable ans to store the potential answer.
 Initialize window size from 0 to (N/2) – 1 by declaring low = 1 and high = N/2 – 1.
 Start a while loop and check if low==0 if yes,
 then, update the answer for the first slide
 Otherwise, break when the slide reaches the end high == N1
 else, update the ans for i^{th} slide and update the low and high pointers.
Below is the implementation of the above approach:
C++

Time Complexity: O(N)
Auxiliary Space: O(1)
Related Articles: