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HomeData ModellingData Structure & AlgorithmFind the integer points (x, y) with Manhattan distance atleast N

Find the integer points (x, y) with Manhattan distance atleast N

Given a number N, the task is to find the integer points (x, y) such that 0 <= x, y <= N and Manhattan distance between any two points will be atleast N.
Examples: 
 

Input: N = 3
Output: (0, 0) (0, 3) (3, 0) (3, 3)

Input: N = 4
Output: (0, 0) (0, 4) (4, 0) (4, 4) (2, 2)

 

Approach: 
 

  • Manhattan Distance between two points (x1, y1) and (x2, y2) is: 
    |x1 – x2| + |y1 – y2|
  • Here for all pair of points this distance will be atleast N.
  • As 0 <= x <= N and 0 <= y <= N so we can imagine a square of side length N whose bottom left corner is (0, 0) and top right corner is (N, N).
  • So if we place 4 points in this corner then Manhattan distance will be atleast N.
  • Now as we have to maximize the number of the point we have to check is there any available point inside the square.
  • If N is even then middle point of the square which is (N/2, N/2) is integer point, otherwise, it will be float value as N/2 is not a integer when N is odd.
  • So the only available position is the middle point and we can put a point there only if N is even.
  • So number of points will be 4 if N is odd and if N is even then the number of points will be 5.

Below is the implementation of the above approach: 
 

C++




// C++ code to Find the integer points (x, y)
// with Manhattan distance atleast N
 
#include <bits/stdc++.h>
using namespace std;
 
// C++ function to find all possible point
vector<pair<int, int> > FindPoints(int n)
{
 
    vector<pair<int, int> > v;
 
    // Find all 4 corners of the square
    // whose side length is n
    v.push_back({ 0, 0 });
    v.push_back({ 0, n });
    v.push_back({ n, 0 });
    v.push_back({ n, n });
 
    // If n is even then the middle point
    // of the square will be an integer,
    // so we will take that point
    if (n % 2 == 0)
        v.push_back({ n / 2, n / 2 });
 
    return v;
}
 
// Driver Code
int main()
{
 
    int N = 8;
 
    vector<pair<int, int> > v
        = FindPoints(N);
 
    // Printing all possible points
    for (auto i : v) {
        cout << "(" << i.first << ", "
             << i.second << ") ";
    }
    return 0;
}


Java




// Java code to Find the integer points (x, y)
// with Manhattan distance atleast N
import java.util.*;
 
class GFG
{
 
static class pair
{
    int first, second;
    public pair(int first, int second)
    {
        this.first = first;
        this.second = second;
    }
}
 
// Java function to find all possible point
static Vector<pair> FindPoints(int n)
{
    Vector<pair> v = new Vector<pair>();
 
    // Find all 4 corners of the square
    // whose side length is n
    v.add(new pair( 0, 0 ));
    v.add(new pair( 0, n ));
    v.add(new pair( n, 0 ));
    v.add(new pair( n, n ));
 
    // If n is even then the middle point
    // of the square will be an integer,
    // so we will take that point
    if (n % 2 == 0)
        v.add(new pair( n / 2, n / 2 ));
 
    return v;
}
 
// Driver Code
public static void main(String[] args)
{
    int N = 8;
 
    Vector<pair > v = FindPoints(N);
 
    // Printing all possible points
    for (pair i : v)
    {
        System.out.print("(" + i.first + ", " +
                               i.second + ") ");
    }
}
}
 
// This code is contributed by PrinciRaj1992


Python3




# Python3 code to Find the integer points (x, y)
# with Manhattan distance atleast N
 
# function to find all possible point
def FindPoints(n) :
 
    v = [];
 
    # Find all 4 corners of the square
    # whose side length is n
    v.append([ 0, 0 ]);
    v.append([ 0, n ]);
    v.append([ n, 0 ]);
    v.append([ n, n ]);
 
    # If n is even then the middle point
    # of the square will be an integer,
    # so we will take that point
    if (n % 2 == 0) :
        v.append([ n // 2, n // 2 ]);
 
    return v;
 
# Driver Code
if __name__ == "__main__" :
 
    N = 8;
 
    v = FindPoints(N);
 
    # Printing all possible points
    for element in v :
        print("(", element[0],
              ",", element[1], ")", end = " ");
 
# This code is contributed by AnkitRai01


C#




// C# code to Find the integer points (x, y)
// with Manhattan distance atleast N
using System;
using System.Collections.Generic;
 
class GFG
{
 
class pair
{
    public int first, second;
    public pair(int first, int second)
    {
        this.first = first;
        this.second = second;
    }
}
 
// Function to find all possible point
static List<pair> FindPoints(int n)
{
    List<pair> v = new List<pair>();
 
    // Find all 4 corners of the square
    // whose side length is n
    v.Add(new pair( 0, 0 ));
    v.Add(new pair( 0, n ));
    v.Add(new pair( n, 0 ));
    v.Add(new pair( n, n ));
 
    // If n is even then the middle point
    // of the square will be an integer,
    // so we will take that point
    if (n % 2 == 0)
        v.Add(new pair( n / 2, n / 2 ));
 
    return v;
}
 
// Driver Code
public static void Main(String[] args)
{
    int N = 8;
 
    List<pair > v = FindPoints(N);
 
    // Printing all possible points
    foreach (pair i in v)
    {
        Console.Write("(" + i.first + ", " +
                            i.second + ") ");
    }
}
}
 
// This code is contributed by Rajput-Ji


Javascript




<script>
 
// Javascript code to Find the integer points (x, y)
// with Manhattan distance atleast N
 
// C++ function to find all possible point
function FindPoints(n)
{
 
    var v = [];
 
    // Find all 4 corners of the square
    // whose side length is n
    v.push([ 0, 0 ]);
    v.push([ 0, n ]);
    v.push([ n, 0 ]);
    v.push([ n, n ]);
 
    // If n is even then the middle point
    // of the square will be an integer,
    // so we will take that point
    if (n % 2 == 0)
        v.push([ n / 2, n / 2 ]);
 
    return v;
}
 
// Driver Code
var N = 8;
var v = FindPoints(N);
// Printing all possible points
v.forEach(i => {
    document.write( "(" + i[0] + ", "
         + i[1] + ") ");
});
 
// This code is contributed by rrrtnx.
</script>


Output: 

(0, 0) (0, 8) (8, 0) (8, 8) (4, 4)

 

Time Complexity: O(1)

Auxiliary Space: O(1)

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Calisto Chipfumbu
Calisto Chipfumbuhttp://cchipfumbu@gmail.com
I have 5 years' worth of experience in the IT industry, primarily focused on Linux and Database administration. In those years, apart from learning significant technical knowledge, I also became comfortable working in a professional team and adapting to my environment, as I switched through 3 roles in that time.
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