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Hamiltonsk cyklus

Hvad er Hamiltons cyklus?

Hamiltonsk cyklus eller kredsløb i en graf G er en cyklus, der besøger hvert hjørne af G præcis én gang og vender tilbage til startpunktet.

  • Hvis grafen indeholder en Hamilton-cyklus, kaldes den Hamiltonsk graf ellers er det ikke-hamiltonsk .
  • At finde en Hamiltonsk cyklus i en graf er en velkendt NP-komplet problem , hvilket betyder, at der ikke er nogen kendt effektiv algoritme til at løse det for alle typer grafer. Det kan dog løses for små eller specifikke typer grafer.
    Hamiltonian Cycle-problemet har praktiske anvendelser på forskellige områder, som f.eks logistik, netværksdesign og datalogi .

Hvad er Hamiltonian Path?

Hamiltons vej i en graf G er en sti, der besøger hvert hjørne af G nøjagtigt én gang og Hamiltons vej behøver ikke at vende tilbage til startpunktet. Det er en åben vej.



  • Svarende til Hamiltonsk cyklus problem, at finde en Hamiltons vej i en generel graf er også NP-komplet og kan være udfordrende. Det er dog ofte et lettere problem end at finde en Hamiltonian Cycle.
  • Hamiltonian Paths har applikationer inden for forskellige områder, som f.eks finde optimale ruter inden for transportnetværk, kredsløbsdesign og grafteoretisk forskning .

Problemerklæring: Givet en urettet graf, er opgaven at bestemme, om grafen indeholder en Hamiltonsk cyklus eller ej. Hvis den indeholder, udskrives stien.

Eksempel:

Input: graf[][] = {{0, 1, 0, 1, 0},{1, 0, 1, 1, 1},{0, 1, 0, 0, 1},{1, 1, 0, 0, 1},{0, 1, 1, 1, 0}}



Input graf[][]

java synkronisering

Produktion: {0, 1, 2, 4, 3, 0}.

Input: graf[][] = {{0, 1, 0, 1, 0},{1, 0, 1, 1, 1},{0, 1, 0, 0, 1},{1, 1, 0, 0, 0},{0, 1, 1, 0, 0}}



one_img2

Input graf[][]

Produktion: Løsningen findes ikke
Anbefalet: Løs det venligst på ØVE SIG først, inden vi går videre til løsningen.

Naiv algoritme : Dette problem kan løses ved hjælp af nedenstående idé:

Generer alle mulige konfigurationer af hjørner og udskriv en konfiguration, der opfylder de givne begrænsninger. Der vil være n! (n faktorielle) konfigurationer. Så den overordnede tidskompleksitet af denne tilgang vil være PÅ!).

Hamiltonian Cycle ved hjælp af Tilbagesporingsalgoritme :

Opret et tomt sti-array og tilføj toppunkt 0 til det. Tilføj andre toppunkter, startende fra toppunktet 1 . Før du tilføjer et toppunkt, skal du kontrollere, om det støder op til det tidligere tilføjede toppunkt og ikke allerede er tilføjet. Finder vi et sådant toppunkt, tilføjer vi toppunktet som en del af løsningen. Hvis vi ikke finder et toppunkt, så vender vi tilbage falsk .

Illustrationer:

Lad os finde ud af Hamiltons cyklus for følgende graf:

Unavngivet-Diagra-(1)
  • Start med noden 0 .
  • Anvend DFS for at finde den Hamiltonske sti.
  • Når basiscase rækkevidde (dvs. totalt antal af knudepunkter == V (total toppunkt) ):
    • Kontroller, om den nuværende node er nabo til startknudepunktet.
    • Som node 2 og node 0 er ikke naboer til hinanden så vend tilbage fra det.
Hamilton-cyklus

Starter fra startknude 0 kalder DFS

  • Da cyklus ikke findes i sti {0, 3, 1, 4, 2}. Så vend tilbage fra node 2, node 4.
fil
  • Udforsk nu en anden mulighed for node 1 (dvs. node 2)
  • Når den rammer basistilstanden igen, tjek for Hamiltonsk cyklus
  • Da knudepunkt 4 ikke er nabo til knudepunkt 0, bliver cyklus igen ikke fundet, og vend derefter tilbage.
fil
  • Retur fra node 4, node 2, node 1.
fil
  • Udforsk nu andre muligheder for node 3.


hamiltonsk-1

Hamiltonsk cyklus

  • På den Hamiltonske vej {0,3,4,2,1,0} vi får cyklus, da node 1 er nabo til node 0.
  • Så print denne cykelsti.
  • Dette er vores Hamilton-cyklus.

Nedenfor er Backtracking-implementeringen til at finde Hamiltonian Cycle:

C++
/* C++ program for solution of Hamiltonian  Cycle problem using backtracking */ #include  using namespace std; // Number of vertices in the graph  #define V 5  void printSolution(int path[]);  /* A utility function to check if  the vertex v can be added at index 'pos'  in the Hamiltonian Cycle constructed  so far (stored in 'path[]') */ bool isSafe(int v, bool graph[V][V],   int path[], int pos)  {   /* Check if this vertex is an adjacent   vertex of the previously added vertex. */  if (graph [path[pos - 1]][ v ] == 0)   return false;   /* Check if the vertex has already been included.   This step can be optimized by creating  an array of size V */  for (int i = 0; i < pos; i++)   if (path[i] == v)   return false;   return true;  }  /* A recursive utility function  to solve hamiltonian cycle problem */ bool hamCycleUtil(bool graph[V][V],   int path[], int pos)  {   /* base case: If all vertices are   included in Hamiltonian Cycle */  if (pos == V)   {   // And if there is an edge from the   // last included vertex to the first vertex   if (graph[path[pos - 1]][path[0]] == 1)   return true;   else  return false;   }   // Try different vertices as a next candidate   // in Hamiltonian Cycle. We don't try for 0 as   // we included 0 as starting point in hamCycle()   for (int v = 1; v < V; v++)   {   /* Check if this vertex can be added   // to Hamiltonian Cycle */  if (isSafe(v, graph, path, pos))   {   path[pos] = v;   /* recur to construct rest of the path */  if (hamCycleUtil (graph, path, pos + 1) == true)   return true;   /* If adding vertex v doesn't lead to a solution,   then remove it */  path[pos] = -1;   }   }   /* If no vertex can be added to   Hamiltonian Cycle constructed so far,   then return false */  return false;  }  /* This function solves the Hamiltonian Cycle problem  using Backtracking. It mainly uses hamCycleUtil() to  solve the problem. It returns false if there is no  Hamiltonian Cycle possible, otherwise return true  and prints the path. Please note that there may be  more than one solutions, this function prints one  of the feasible solutions. */ bool hamCycle(bool graph[V][V])  {   int *path = new int[V];   for (int i = 0; i < V; i++)   path[i] = -1;   /* Let us put vertex 0 as the first vertex in the path.  If there is a Hamiltonian Cycle, then the path can be   started from any point of the cycle as the graph is undirected */  path[0] = 0;   if (hamCycleUtil(graph, path, 1) == false )   {   cout << '
Solution does not exist';   return false;   }   printSolution(path);   return true;  }  /* A utility function to print solution */ void printSolution(int path[])  {   cout << 'Solution Exists:'  ' Following is one Hamiltonian Cycle 
';   for (int i = 0; i < V; i++)   cout << path[i] << ' ';   // Let us print the first vertex again  // to show the complete cycle   cout << path[0] << ' ';   cout << endl; }  // Driver Code  int main()  {   /* Let us create the following graph   (0)--(1)--(2)   | /  |   | /  |   | /  |   (3)-------(4) */  bool graph1[V][V] = {{0, 1, 0, 1, 0},   {1, 0, 1, 1, 1},   {0, 1, 0, 0, 1},   {1, 1, 0, 0, 1},   {0, 1, 1, 1, 0}};     // Print the solution   hamCycle(graph1);     /* Let us create the following graph   (0)--(1)--(2)   | /  |   | /  |   | /  |   (3) (4) */  bool graph2[V][V] = {{0, 1, 0, 1, 0},   {1, 0, 1, 1, 1},   {0, 1, 0, 0, 1},   {1, 1, 0, 0, 0},   {0, 1, 1, 0, 0}};   // Print the solution   hamCycle(graph2);   return 0;  }  // This is code is contributed by rathbhupendra>
C++
#include  using namespace std; int main() {  cout << 'GFG!';  return 0; }>
C
/* C program for solution of Hamiltonian Cycle problem  using backtracking */ #include // Number of vertices in the graph #define V 5 void printSolution(int path[]); /* A utility function to check if the vertex v can be added at  index 'pos' in the Hamiltonian Cycle constructed so far (stored  in 'path[]') */ int isSafe(int v, int graph[V][V], int path[], int pos) {  /* Check if this vertex is an adjacent vertex of the previously  added vertex. */  if (graph [ path[pos-1] ][ v ] == 0)  return 0;  /* Check if the vertex has already been included.  This step can be optimized by creating an array of size V */  for (int i = 0; i < pos; i++)  if (path[i] == v)  return 0;  return 1; } /* A recursive utility function to solve hamiltonian cycle problem */ int hamCycleUtil(int graph[V][V], int path[], int pos) {  /* base case: If all vertices are included in Hamiltonian Cycle */  if (pos == V)  {  // And if there is an edge from the last included vertex to the  // first vertex  if ( graph[ path[pos-1] ][ path[0] ] == 1 )  return 1;  else  return 0;  }  // Try different vertices as a next candidate in Hamiltonian Cycle.  // We don't try for 0 as we included 0 as starting point in hamCycle()  for (int v = 1; v < V; v++)  {  /* Check if this vertex can be added to Hamiltonian Cycle */  if (isSafe(v, graph, path, pos))  {  path[pos] = v;  /* recur to construct rest of the path */  if (hamCycleUtil (graph, path, pos+1) == 1)  return 1;  /* If adding vertex v doesn't lead to a solution,  then remove it */  path[pos] = -1;  }  }  /* If no vertex can be added to Hamiltonian Cycle constructed so far,  then return false */  return 0; } /* This function solves the Hamiltonian Cycle problem using Backtracking.  It mainly uses hamCycleUtil() to solve the problem. It returns false  if there is no Hamiltonian Cycle possible, otherwise return true and  prints the path. Please note that there may be more than one solutions,  this function prints one of the feasible solutions. */ int hamCycle(int graph[V][V]) {  int path[V];  for (int i = 0; i < V; i++)  path[i] = -1;  /* Let us put vertex 0 as the first vertex in the path. If there is  a Hamiltonian Cycle, then the path can be started from any point  of the cycle as the graph is undirected */  path[0] = 0;  if ( hamCycleUtil(graph, path, 1) == 0 )  {  printf('
Solution does not exist');  return 0;  }  printSolution(path);  return 1; } /* A utility function to print solution */ void printSolution(int path[]) {  printf ('Solution Exists:'  ' Following is one Hamiltonian Cycle 
');  for (int i = 0; i < V; i++)  printf(' %d ', path[i]);  // Let us print the first vertex again to show the complete cycle  printf(' %d ', path[0]);  printf('
'); } // driver program to test above function int main() {  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3)-------(4) */  int graph1[V][V] = {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 1},  {0, 1, 1, 1, 0},  };  // Print the solution  hamCycle(graph1);  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3) (4) */  int graph2[V][V] = {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 0},  {0, 1, 1, 0, 0},  };  // Print the solution  hamCycle(graph2);  return 0; }>
Java
/* Java program for solution of Hamiltonian Cycle problem  using backtracking */ class HamiltonianCycle {  final int V = 5;  int path[];  /* A utility function to check if the vertex v can be  added at index 'pos'in the Hamiltonian Cycle  constructed so far (stored in 'path[]') */  boolean isSafe(int v, int graph[][], int path[], int pos)  {  /* Check if this vertex is an adjacent vertex of  the previously added vertex. */  if (graph[path[pos - 1]][v] == 0)  return false;  /* Check if the vertex has already been included.  This step can be optimized by creating an array  of size V */  for (int i = 0; i < pos; i++)  if (path[i] == v)  return false;  return true;  }  /* A recursive utility function to solve hamiltonian  cycle problem */  boolean hamCycleUtil(int graph[][], int path[], int pos)  {  /* base case: If all vertices are included in  Hamiltonian Cycle */  if (pos == V)  {  // And if there is an edge from the last included  // vertex to the first vertex  if (graph[path[pos - 1]][path[0]] == 1)  return true;  else  return false;  }  // Try different vertices as a next candidate in  // Hamiltonian Cycle. We don't try for 0 as we  // included 0 as starting point in hamCycle()  for (int v = 1; v < V; v++)  {  /* Check if this vertex can be added to Hamiltonian  Cycle */  if (isSafe(v, graph, path, pos))  {  path[pos] = v;  /* recur to construct rest of the path */  if (hamCycleUtil(graph, path, pos + 1) == true)  return true;  /* If adding vertex v doesn't lead to a solution,  then remove it */  path[pos] = -1;  }  }  /* If no vertex can be added to Hamiltonian Cycle  constructed so far, then return false */  return false;  }  /* This function solves the Hamiltonian Cycle problem using  Backtracking. It mainly uses hamCycleUtil() to solve the  problem. It returns false if there is no Hamiltonian Cycle  possible, otherwise return true and prints the path.  Please note that there may be more than one solutions,  this function prints one of the feasible solutions. */  int hamCycle(int graph[][])  {  path = new int[V];  for (int i = 0; i < V; i++)  path[i] = -1;  /* Let us put vertex 0 as the first vertex in the path.  If there is a Hamiltonian Cycle, then the path can be  started from any point of the cycle as the graph is  undirected */  path[0] = 0;  if (hamCycleUtil(graph, path, 1) == false)  {  System.out.println('
Solution does not exist');  return 0;  }  printSolution(path);  return 1;  }  /* A utility function to print solution */  void printSolution(int path[])  {  System.out.println('Solution Exists: Following' +  ' is one Hamiltonian Cycle');  for (int i = 0; i < V; i++)  System.out.print(' ' + path[i] + ' ');  // Let us print the first vertex again to show the  // complete cycle  System.out.println(' ' + path[0] + ' ');  }  // driver program to test above function  public static void main(String args[])  {  HamiltonianCycle hamiltonian =  new HamiltonianCycle();  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3)-------(4) */  int graph1[][] = {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 1},  {0, 1, 1, 1, 0},  };  // Print the solution  hamiltonian.hamCycle(graph1);  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3) (4) */  int graph2[][] = {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 0},  {0, 1, 1, 0, 0},  };  // Print the solution  hamiltonian.hamCycle(graph2);  } } // This code is contributed by Abhishek Shankhadhar>
Python
# Python program for solution of  # hamiltonian cycle problem  class Graph(): def __init__(self, vertices): self.graph = [[0 for column in range(vertices)] for row in range(vertices)] self.V = vertices  ''' Check if this vertex is an adjacent vertex   of the previously added vertex and is not   included in the path earlier ''' def isSafe(self, v, pos, path): # Check if current vertex and last vertex  # in path are adjacent  if self.graph[ path[pos-1] ][v] == 0: return False # Check if current vertex not already in path  for vertex in path: if vertex == v: return False return True # A recursive utility function to solve  # hamiltonian cycle problem  def hamCycleUtil(self, path, pos): # base case: if all vertices are  # included in the path  if pos == self.V: # Last vertex must be adjacent to the  # first vertex in path to make a cycle  if self.graph[ path[pos-1] ][ path[0] ] == 1: return True else: return False # Try different vertices as a next candidate  # in Hamiltonian Cycle. We don't try for 0 as  # we included 0 as starting point in hamCycle()  for v in range(1,self.V): if self.isSafe(v, pos, path) == True: path[pos] = v if self.hamCycleUtil(path, pos+1) == True: return True # Remove current vertex if it doesn't  # lead to a solution  path[pos] = -1 return False def hamCycle(self): path = [-1] * self.V  ''' Let us put vertex 0 as the first vertex   in the path. If there is a Hamiltonian Cycle,   then the path can be started from any point   of the cycle as the graph is undirected ''' path[0] = 0 if self.hamCycleUtil(path,1) == False: print ('Solution does not exist
') return False self.printSolution(path) return True def printSolution(self, path): print ('Solution Exists: Following', 'is one Hamiltonian Cycle') for vertex in path: print (vertex ) # Driver Code  ''' Let us create the following graph   (0)--(1)--(2)   | /  |   | /  |   | /  |   (3)-------(4) ''' g1 = Graph(5) g1.graph = [ [0, 1, 0, 1, 0], [1, 0, 1, 1, 1], [0, 1, 0, 0, 1,],[1, 1, 0, 0, 1], [0, 1, 1, 1, 0], ] # Print the solution  g1.hamCycle(); ''' Let us create the following graph   (0)--(1)--(2)   | /  |   | /  |   | /  |   (3) (4) ''' g2 = Graph(5) g2.graph = [ [0, 1, 0, 1, 0], [1, 0, 1, 1, 1], [0, 1, 0, 0, 1,], [1, 1, 0, 0, 0], [0, 1, 1, 0, 0], ] # Print the solution  g2.hamCycle(); # This code is contributed by Divyanshu Mehta>
C#
// C# program for solution of Hamiltonian  // Cycle problem using backtracking using System; public class HamiltonianCycle {  readonly int V = 5;  int []path;  /* A utility function to check   if the vertex v can be added at   index 'pos'in the Hamiltonian Cycle  constructed so far (stored in 'path[]') */  bool isSafe(int v, int [,]graph,  int []path, int pos)  {  /* Check if this vertex is   an adjacent vertex of the  previously added vertex. */  if (graph[path[pos - 1], v] == 0)  return false;  /* Check if the vertex has already   been included. This step can be  optimized by creating an array  of size V */  for (int i = 0; i < pos; i++)  if (path[i] == v)  return false;  return true;  }  /* A recursive utility function  to solve hamiltonian cycle problem */  bool hamCycleUtil(int [,]graph, int []path, int pos)  {  /* base case: If all vertices   are included in Hamiltonian Cycle */  if (pos == V)  {  // And if there is an edge from the last included  // vertex to the first vertex  if (graph[path[pos - 1],path[0]] == 1)  return true;  else  return false;  }  // Try different vertices as a next candidate in  // Hamiltonian Cycle. We don't try for 0 as we  // included 0 as starting point in hamCycle()  for (int v = 1; v < V; v++)  {  /* Check if this vertex can be   added to Hamiltonian Cycle */  if (isSafe(v, graph, path, pos))  {  path[pos] = v;  /* recur to construct rest of the path */  if (hamCycleUtil(graph, path, pos + 1) == true)  return true;  /* If adding vertex v doesn't   lead to a solution, then remove it */  path[pos] = -1;  }  }  /* If no vertex can be added to Hamiltonian Cycle  constructed so far, then return false */  return false;  }  /* This function solves the Hamiltonian   Cycle problem using Backtracking. It   mainly uses hamCycleUtil() to solve the  problem. It returns false if there  is no Hamiltonian Cycle possible,   otherwise return true and prints the path.  Please note that there may be more than   one solutions, this function prints one   of the feasible solutions. */  int hamCycle(int [,]graph)  {  path = new int[V];  for (int i = 0; i < V; i++)  path[i] = -1;  /* Let us put vertex 0 as the first  vertex in the path. If there is a   Hamiltonian Cycle, then the path can be  started from any point of the cycle   as the graph is undirected */  path[0] = 0;  if (hamCycleUtil(graph, path, 1) == false)  {  Console.WriteLine('
Solution does not exist');  return 0;  }  printSolution(path);  return 1;  }  /* A utility function to print solution */  void printSolution(int []path)  {  Console.WriteLine('Solution Exists: Following' +  ' is one Hamiltonian Cycle');  for (int i = 0; i < V; i++)  Console.Write(' ' + path[i] + ' ');  // Let us print the first vertex again  // to show the complete cycle  Console.WriteLine(' ' + path[0] + ' ');  }  // Driver code  public static void Main(String []args)  {  HamiltonianCycle hamiltonian =  new HamiltonianCycle();  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3)-------(4) */  int [,]graph1= {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 1},  {0, 1, 1, 1, 0},  };  // Print the solution  hamiltonian.hamCycle(graph1);  /* Let us create the following graph  (0)--(1)--(2)  | /  |  | /  |  | /  |  (3) (4) */  int [,]graph2 = {{0, 1, 0, 1, 0},  {1, 0, 1, 1, 1},  {0, 1, 0, 0, 1},  {1, 1, 0, 0, 0},  {0, 1, 1, 0, 0},  };  // Print the solution  hamiltonian.hamCycle(graph2);  } } // This code contributed by Rajput-Ji>
Javascript
>
PHP
 // PHP program for solution of  // Hamiltonian Cycle problem // using backtracking  $V = 5; /* A utility function to check if  the vertex v can be added at index 'pos' in the Hamiltonian Cycle constructed so far  (stored in 'path[]') */ function isSafe($v, $graph, &$path, $pos) { /* Check if this vertex is   an adjacent vertex of the   previously added vertex. */ if ($graph[$path[$pos - 1]][$v] == 0) return false; /* Check if the vertex has already been included.  This step can be optimized by creating an array  of size V */ for ($i = 0; $i < $pos; $i++) if ($path[$i] == $v) return false; return true; } /* A recursive utility function  to solve hamiltonian cycle problem */ function hamCycleUtil($graph, &$path, $pos) { global $V; /* base case: If all vertices are included in  Hamiltonian Cycle */ if ($pos == $V) { // And if there is an edge from the  // last included vertex to the first vertex if ($graph[$path[$pos - 1]][$path[0]] == 1) return true; else return false; } // Try different vertices as a next candidate in // Hamiltonian Cycle. We don't try for 0 as we // included 0 as starting point hamCycle() for ($v = 1; $v < $V; $v++) { /* Check if this vertex can be added   to Hamiltonian Cycle */ if (isSafe($v, $graph, $path, $pos)) { $path[$pos] = $v; /* recur to construct rest of the path */ if (hamCycleUtil($graph, $path, $pos + 1) == true) return true; /* If adding vertex v doesn't lead to a solution,  then remove it */ $path[$pos] = -1; } } /* If no vertex can be added to Hamiltonian Cycle  constructed so far, then return false */ return false; } /* This function solves the Hamiltonian Cycle problem using Backtracking. It mainly uses hamCycleUtil() to solve the problem. It returns false if there is no Hamiltonian Cycle possible, otherwise return true and prints the path. Please note that there may be more than one solutions, this function prints one of the feasible solutions. */ function hamCycle($graph) { global $V; $path = array_fill(0, $V, 0); for ($i = 0; $i < $V; $i++) $path[$i] = -1; /* Let us put vertex 0 as the first vertex in the path.  If there is a Hamiltonian Cycle, then the path can be  started from any point of the cycle as the graph is  undirected */ $path[0] = 0; if (hamCycleUtil($graph, $path, 1) == false) { echo('
Solution does not exist'); return 0; } printSolution($path); return 1; } /* A utility function to print solution */ function printSolution($path) { global $V; echo('Solution Exists: Following is '. 'one Hamiltonian Cycle
'); for ($i = 0; $i < $V; $i++) echo(' '.$path[$i].' '); // Let us print the first vertex again to show the // complete cycle echo(' '.$path[0].' 
'); } // Driver Code /* Let us create the following graph (0)--(1)--(2)  | /  |  | /  |  | /  | (3)-------(4) */ $graph1 = array(array(0, 1, 0, 1, 0), array(1, 0, 1, 1, 1), array(0, 1, 0, 0, 1), array(1, 1, 0, 0, 1), array(0, 1, 1, 1, 0), ); // Print the solution hamCycle($graph1); /* Let us create the following graph (0)--(1)--(2)  | /  |  | /  |  | /  | (3) (4) */ $graph2 = array(array(0, 1, 0, 1, 0), array(1, 0, 1, 1, 1), array(0, 1, 0, 0, 1), array(1, 1, 0, 0, 0), array(0, 1, 1, 0, 0)); // Print the solution hamCycle($graph2); // This code is contributed by mits ?>>

Produktion
Solution Exists: Following is one Hamiltonian Cycle 0 1 2 4 3 0 Solution does not exist>

Tidskompleksitet: O(N!), hvor N er antallet af hjørner.
Hjælpeplads: O(1), da der ikke bruges ekstra plads.

Bemærk: Ovenstående kode udskriver altid en cyklus, der starter fra 0 . Udgangspunktet bør ikke betyde noget, da cyklussen kan startes fra et hvilket som helst punkt. Hvis du vil ændre udgangspunktet, skal du foretage to ændringer i ovenstående kode.
Skift sti[0] = 0; til sti[0] = s ; hvor s er din nye Udgangspunktet . Skift også sløjfe for (int v = 1; v