Permutation of numbers such that sum of two consecutive numbers is a perfect square
Prerequisite: Hamiltonian Cycle Given an integer n(>=2), find a permutation of numbers from 1 to n such that the sum of two consecutive numbers of that permutation is a perfect square. If that kind of permutation is not possible to print “No Solution”.
Examples:
Input : 17 Output : [16, 9, 7, 2, 14, 11, 5, 4, 12, 13, 3, 6, 10, 15, 1, 8, 17] Explanation : 16+9 = 25 = 5*5, 9+7 = 16 = 4*4, 7+2 = 9 = 3*3 and so on. Input: 20 Output: No Solution Input : 25 Output : [2, 23, 13, 12, 24, 25, 11, 14, 22, 3, 1, 8, 17, 19, 6, 10, 15, 21, 4, 5, 20, 16, 9, 7, 18]
Method: We can represent a graph, where numbers from 1 to n are the nodes of the graph and there is an edge between ith and jth node if (i+j) is a perfect square. Then we can search if there is any Hamiltonian Path in the graph. If there is at least one path then we print a path otherwise we print “No Solution”.
Approach:
1. First list up all the perfect square numbers which we can get by adding two numbers. We can get at max (2*n-1). so we will take only the squares up to (2*n-1). 2. Take an adjacency matrix to represent the graph. 3. For each number from 1 to n find out numbers with which it can add upto a perfect square number. Fill respective cells of the adjacency matrix by 1. 4. Now find if there is any Hamiltonian path in the graph using backtracking as discussed earlier.
Implementation:
C++
#include <bits/stdc++.h> using namespace std; // Function to check if a node is safe to visit in the // current Hamiltonian path bool issafe( int v, int graph[][20], int path[], int pos) { // Check if the current node is connected to the // previous node in the path if (graph[path[pos - 1]][v] == 0) return false ; // Check if the current node has already been visited in // the current path for ( int i = 0; i < pos; i++) if (path[i] == v) return false ; // If the current node is connected to the previous node // and has not been visited yet, return true return true ; } // Function to form the Hamiltonian path by visiting nodes // recursively bool formpath( int graph[][20], int path[], int pos, int n) { // If all the nodes have been visited, return true if (pos == n + 1) return true ; // Try visiting each node and see if it forms a // Hamiltonian path for ( int v = 1; v < n + 1; v++) { if (issafe(v, graph, path, pos)) { path[pos] = v; if (formpath(graph, path, pos + 1, n) == true ) return true ; path[pos] = -1; } } // If none of the nodes form a Hamiltonian path, return // false return false ; } // Function to find a Hamiltonian path in a given graph void hampath( int n) { // Adjacency matrix to store the graph int graph[20][20]; // Array to store the Hamiltonian path int path[20]; // Temporary variable used to store square root of 2n-1 int k = 0; // If there is only 1 node in the graph, there is no // Hamiltonian path if (n == 1) { cout << "No Solution" ; return ; } // Vector to store the squares of the numbers from 1 to // sqrt(2n-1) vector< int > l; int nsqrt = sqrt (2 * n - 1); for ( int i = 1; i <= nsqrt + 1; i++) { l.push_back(i * i); } // Initialize the graph to 0 memset (graph, 0, sizeof (graph)); // Form the graph using the squares stored in the vector // 'l' for ( int i = 1; i < n + 1; i++) { for ( auto ele : l) { // Check if the difference between the square // and the current node is greater than 0 and // less than or equal to n Also, make sure that // the difference is not equal to 2 times the // current node (to avoid repeated edges) if ((ele - i) > 0 && (ele - i) <= n && (2 * i != ele)) { graph[i][ele - i] = 1; graph[ele - i][i] = 1; } } } // Loop through all vertices starting from vertex 1 for ( int j = 1; j < n + 1; j++) { // Reset the path array memset (path, -1, sizeof (path)); // Start the path from vertex j path[1] = j; // Check if a Hamiltonian path can be formed // starting from vertex j if (formpath(graph, path, 2, n) == true ) { cout << "Hamiltonian Path: " ; // Print the path for ( int i = 1; i < n + 1; i++) { cout << path[i] << " " ; } // Return the path return ; } } // If no solution is found, print "No Solution" cout << "No Solution" ; return ; } // Driver Function int main() { cout << "17 -> " ; hampath(17); cout << endl << "20 -> " ; hampath(20); cout << endl << "25 -> " ; hampath(25); return 0; } |
Java
import java.util.*; public class HamiltonianPath { // Function to check if a node is safe to visit in the // current Hamiltonian path static boolean issafe( int v, int [][] graph, int [] path, int pos) { // Check if the current node is connected to the // previous node in the path if (graph[path[pos - 1 ]][v] == 0 ) { return false ; } // Check if the current node has already been // visited in the current path for ( int i = 0 ; i < pos; i++) { if (path[i] == v) { return false ; } } // If the current node is connected to the previous // node and has not been visited yet, return true return true ; } // Function to form the Hamiltonian path by visiting // nodes recursively static boolean formpath( int [][] graph, int [] path, int pos, int n) { // If all the nodes have been visited, return true if (pos == n + 1 ) { return true ; } // Try visiting each node and see if it forms a // Hamiltonian path for ( int v = 1 ; v < n + 1 ; v++) { if (issafe(v, graph, path, pos)) { path[pos] = v; if (formpath(graph, path, pos + 1 , n) == true ) { return true ; } path[pos] = - 1 ; } } // If none of the nodes form a Hamiltonian path, // return false return false ; } // Function to find a Hamiltonian path in a given graph static void hampath( int n) { // Adjacency matrix to store the graph int [][] graph = new int [n+ 1 ][n+ 1 ]; // Array to store the Hamiltonian path int [] path = new int [n+ 1 ]; // If there is only 1 node in the graph, there is no // Hamiltonian path if (n == 1 ) { System.out.println( "No Solution" ); return ; } // Vector to store the squares of the numbers from 1 // to sqrt(2n-1) ArrayList<Integer> l = new ArrayList<Integer>(); int nsqrt = ( int )Math.sqrt( 2 * n - 1 ); for ( int i = 1 ; i <= nsqrt + 1 ; i++) { l.add(i * i); } // Initialize the graph to 0 for ( int i = 1 ; i < n + 1 ; i++) { for ( int j = 1 ; j < n + 1 ; j++) { graph[i][j] = 0 ; } } // Form the graph using the squares stored in the // vector 'l' for ( int i = 1 ; i < n + 1 ; i++) { for ( int ele : l) { // Check if the difference between the // square and the current node is greater // than 0 and less than or equal to n Also, // make sure that the difference is not // equal to 2 times the current node (to // avoid repeated edges) if ((ele - i) > 0 && (ele - i) <= n && ( 2 * i != ele)) { graph[i][ele - i] = 1 ; graph[ele - i][i] = 1 ; } } } for ( int j = 1 ; j < n + 1 ; j++) { // Reset the path array Arrays.fill(path, - 1 ); // Start the path from vertex j path[ 1 ] = j; // Check if a Hamiltonian path can be formed // starting from vertex j if (formpath(graph, path, 2 , n) == true ) { System.out.print( "Hamiltonian Path: " ); // Print the path for ( int i = 1 ; i < n + 1 ; i++) { System.out.print(path[i] + " " ); } // Return the path return ; } } // If no solution is found, print "No Solution" System.out.print( "No Solution" ); } public static void main(String[] args) { System.out.print( "17 -> " ); hampath( 17 ); System.out.println(); System.out.print( "20 -> " ); hampath( 20 ); System.out.println(); System.out.print( "25 -> " ); hampath( 25 ); } } |
Python3
# Python3 program for Sum-square series using # hamiltonian path concept and backtracking # Function to check whether we can add number # v with the path in the position pos. def issafe(v, graph, path, pos): # if there is no edge between v and the # last element of the path formed so far # return false. if (graph[path[pos - 1 ]][v] = = 0 ): return False # Otherwise if there is an edge between # v and last element of the path formed so # far, then check all the elements of the # path. If v is already in the path return # false. for i in range (pos): if (path[i] = = v): return False # If none of the previous cases satisfies # then we can add v to the path in the # position pos. Hence return true. return True # Function to form a path based on the graph. def formpath(graph, path, pos): # If all the elements are included in the # path i.e. length of the path is n then # return true i.e. path formed. n = len (graph) - 1 if (pos = = n + 1 ): return True # This loop checks for each element if it # can be fitted as the next element of the # path and recursively finds the next # element of the path. for v in range ( 1 , n + 1 ): if issafe(v, graph, path, pos): path[pos] = v # Recurs for next element of the path. if (formpath(graph, path, pos + 1 ) = = True ): return True # If adding v does not give a solution # then remove it from path path[pos] = - 1 # if any vertex cannot be added with the # formed path then return false and # backtracks. return False # Function to find out sum-square series. def hampath(n): # base case: if n = 1 there is no solution if n = = 1 : return 'No Solution' # Make an array of perfect squares from 1 # to (2 * n-1) l = list () for i in range ( 1 , int (( 2 * n - 1 ) * * 0.5 ) + 1 ): l.append(i * * 2 ) # Form the graph where sum of two adjacent # vertices is a perfect square graph = [[ 0 for i in range (n + 1 )] for j in range (n + 1 )] for i in range ( 1 , n + 1 ): for ele in l: if ((ele - i) > 0 and (ele - i) < = n and ( 2 * i ! = ele)): graph[i][ele - i] = 1 graph[ele - i][i] = 1 # starting from 1 upto n check for each # element i if any path can be formed # after taking i as the first element. for j in range ( 1 , n + 1 ): path = [ - 1 for k in range (n + 1 )] path[ 1 ] = j # If starting from j we can form any path # then we will return the path if formpath(graph, path, 2 ) = = True : return path[ 1 :] # If no path can be formed at all return # no solution. return 'No Solution' # Driver Function print ( 17 , '->' , hampath( 17 )) print ( 20 , '->' , hampath( 20 )) print ( 25 , '->' , hampath( 25 )) |
C#
//C# Equivalent of above code using System; using System.Collections.Generic; public class HamiltonianPath { // Function to check if a node is safe to visit in the // current Hamiltonian path static bool issafe( int v, int [,] graph, int [] path, int pos) { // Check if the current node is connected to the // previous node in the path if (graph[path[pos - 1], v] == 0) { return false ; } // Check if the current node has already been // visited in the current path for ( int i = 0; i < pos; i++) { if (path[i] == v) { return false ; } } // If the current node is connected to the previous // node and has not been visited yet, return true return true ; } // Function to form the Hamiltonian path by visiting // nodes recursively static bool formpath( int [,] graph, int [] path, int pos, int n) { // If all the nodes have been visited, return true if (pos == n + 1) { return true ; } // Try visiting each node and see if it forms a // Hamiltonian path for ( int v = 1; v < n + 1; v++) { if (issafe(v, graph, path, pos)) { path[pos] = v; if (formpath(graph, path, pos + 1, n) == true ) { return true ; } path[pos] = -1; } } // If none of the nodes form a Hamiltonian path, // return false return false ; } // Function to find a Hamiltonian path in a given graph static void hampath( int n) { // Adjacency matrix to store the graph int [,] graph = new int [n + 1, n + 1]; // Array to store the Hamiltonian path int [] path = new int [n + 1]; // If there is only 1 node in the graph, there is no // Hamiltonian path if (n == 1) { Console.WriteLine( "No Solution" ); return ; } // List to store the squares of the numbers from 1 // to sqrt(2n-1) List< int > l = new List< int >(); int nsqrt = ( int )Math.Sqrt(2 * n - 1); for ( int i = 1; i <= nsqrt + 1; i++) { l.Add(i * i); } // Initialize the graph to 0 for ( int i = 1; i < n + 1; i++) { for ( int j = 1; j < n + 1; j++) { graph[i, j] = 0; } } // Form the graph using the squares stored in the // List 'l' for ( int i = 1; i < n + 1; i++) { foreach ( int ele in l) { // Check if the difference between the // square and the current node is greater // than 0 and less than or equal to n Also, // make sure that the difference is not // equal to 2 times the current node (to // avoid repeated edges) if ((ele - i) > 0 && (ele - i) <= n && (2 * i != ele)) { graph[i, ele - i] = 1; graph[ele - i, i] = 1; } } } for ( int j = 1; j < n + 1; j++) { // Reset the path array Array.Fill(path, -1); // Start the path from vertex j path[1] = j; // Check if a Hamiltonian path can be formed // starting from vertex j if (formpath(graph, path, 2, n) == true ) { Console.Write( "Hamiltonian Path: " ); // Print the path for ( int i = 1; i < n + 1; i++) { Console.Write(path[i] + " " ); } // Return the path return ; } } // If no solution is found, print "No Solution" Console.Write( "No Solution" ); } public static void Main( string [] args) { Console.Write( "17 -> " ); hampath(17); Console.WriteLine(); Console.Write( "20 -> " ); hampath(20); Console.WriteLine(); Console.Write( "25 -> " ); hampath(25); } } |
Javascript
function issafe(v, graph, path, pos) { if (graph[path[pos - 1]][v] === 0) { return false ; } for (let i = 0; i < pos; i++) { if (path[i] === v) { return false ; } } return true ; } function formpath(graph, path, pos, n) { if (pos === n + 1) { return true ; } for (let v = 1; v < n + 1; v++) { if (issafe(v, graph, path, pos)) { path[pos] = v; if (formpath(graph, path, pos + 1, n)) { return true ; } path[pos] = -1; } } return false ; } function hampath(n) { const graph = new Array(n + 1).fill(0).map(() => new Array(n + 1).fill(0)); const path = new Array(n + 1).fill(-1); if (n === 1) { console.log( "No Solution" ); return ; } const l = []; const nsqrt = Math.floor(Math.sqrt(2 * n - 1)); for (let i = 1; i <= nsqrt + 1; i++) { l.push(i * i); } for (let i = 1; i < n + 1; i++) { for (let j = 1; j < n + 1; j++) { graph[i][j] = 0; } } for (let i = 1; i < n + 1; i++) { for (let ele of l) { if ((ele - i) > 0 && (ele - i) <= n && (2 * i !== ele)) { graph[i][ele - i] = 1; graph[ele - i][i] = 1; } } } for (let j = 1; j < n + 1; j++) { path[1] = j; if (formpath(graph, path, 2, n)) { console.log( "Hamiltonian Path: " + path.slice(1).join( " " )); return ; } } console.log( "No Solution" ); } console.log( "17 -> " ); hampath(17); console.log(); console.log( "20 -> " ); hampath(20); console.log(); console.log( "25 -> " ); hampath(25); |
Output
17 -> [16, 9, 7, 2, 14, 11, 5, 4, 12, 13, 3, 6, 10, 15, 1, 8, 17] 20 -> No Solution 25 -> [2, 23, 13, 12, 24, 25, 11, 14, 22, 3, 1, 8, 17, 19, 6, 10, 15, 21, 4, 5, 20, 16, 9, 7, 18]
Discussion:
- This backtracking algorithm takes exponential time to find Hamiltonian Path.
- Hence the time complexity of this algorithm is exponential. In the last part of the hampath(n) function if we just print the path rather returning it then it will print all possible Hamiltonian Path i.e. all possible representations. Actually we will first get a representation like this for n = 15. For n<15 there is no representation.
- For n = 18, 19, 20, 21, 22, 24 there is also no Hamiltonian Path. For rest of the numbers it works well.