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Hamiltonin sykli

Mikä on Hamiltonin sykli?

Hamiltonin sykli tai piiri kaaviossa G on sykli, joka vierailee jokaisessa kärjessä G täsmälleen kerran ja palaa alkupisteeseen.

  • Jos graafi sisältää Hamiltonin syklin, sitä kutsutaan Hamiltonin graafi muuten on ei-hamiltonilainen .
  • Hamiltonin syklin löytäminen graafista on hyvin tunnettua NP-täydellinen ongelma , mikä tarkoittaa, että ei ole tunnettua tehokasta algoritmia sen ratkaisemiseksi kaikentyyppisille kaavioille. Se voidaan kuitenkin ratkaista pienille tai tietyntyyppisille kaavioille.
    Hamiltonin sykli -ongelmalla on käytännön sovelluksia eri aloilla, mm logistiikka, verkkosuunnittelu ja tietojenkäsittely .

Mikä on Hamiltonin polku?

Hamiltonin polku kaaviossa G on polku, joka vierailee G:n jokaisessa kärjessä täsmälleen kerran ja Hamiltonin polku ei tarvitse palata aloituspisteeseen. Se on avoin tie.



  • Samanlainen kuin Hamiltonin sykli ongelma, löytää a Hamiltonin polku yleisessä kaaviossa on myös NP-täydellinen ja voi olla haastavaa. Se on kuitenkin usein helpompi ongelma kuin Hamiltonin syklin löytäminen.
  • Hamiltonin poluilla on sovelluksia eri aloilla, kuten optimaalisten reittien löytäminen liikenneverkoissa, piirisuunnittelussa ja graafiteoriatutkimuksessa .

Ongelmailmoitus: Kun suuntaamaton graafi on annettu, tehtävänä on määrittää, sisältääkö graafi Hamiltonin syklin vai ei. Jos se sisältää, tulostaa polun.

Esimerkki:

Syöte: kaavio[][] = {{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}}



Syötä kaavio[][]

javascript trim alimerkkijono

Lähtö: 0, 1, 2, 4, 3, 0}.

Syöte: kaavio[][] = {{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

Syötä kaavio[][]

Lähtö: Ratkaisua ei ole olemassa
Suositus: Ratkaise se HARJOITELLA ensin, ennen kuin siirryt ratkaisuun.

Naiivi algoritmi : Tämä ongelma voidaan ratkaista käyttämällä alla olevaa ideaa:

Luo kaikki mahdolliset kärkikonfiguraatiot ja tulosta konfiguraatio, joka täyttää annetut rajoitukset. Siellä on n! (n tekijän) kokoonpanoa. Joten tämän lähestymistavan yleinen aika monimutkaisuus on PÄÄLLÄ!).

Hamiltonin syklin käyttö Peruutusalgoritmi :

Luo tyhjä polkutaulukko ja lisää kärkipiste 0 siihen. Lisää muut kärjet kärjestä alkaen 1 . Ennen kuin lisäät huippupisteen, tarkista, onko se aiemmin lisätyn kärjen vieressä eikä sitä ole jo lisätty. Jos löydämme tällaisen kärjen, lisäämme kärjen osaksi ratkaisua. Jos emme löydä kärkeä, palaamme takaisin väärä .

Kuvitukset:

Selvitetään Hamiltonin sykli seuraavalle kaaviolle:

Nimetön-Diagra-(1)
  • Aloita solmupisteestä 0.
  • Käytä DFS:ää Hamiltonin polun löytämiseksi.
  • Kun perustapaus saavutetaan (esim. kuljetetun solmun kokonaismäärä == V (yhteensä huippupiste) ):
    • Tarkista, onko nykyinen solmu aloitussolmun naapuri.
    • Solmuna 2 ja solmu 0 eivät ole toistensa naapureita, joten palaa sieltä.
Hamiltonin sykli

Alkaen alusta solmu 0 kutsuu DFS:ää

  • Koska sykliä ei löydy polusta {0, 3, 1, 4, 2}. Joten, paluu solmusta 2, solmusta 4.
tiedosto
  • Tutki nyt toista vaihtoehtoa solmulle 1 (eli solmulle 2)
  • Kun se osuu perustilaan, tarkista Hamiltonin sykli
  • Koska solmu 4 ei ole solmun 0 naapuri, jaksoa ei taaskaan löydy ja palaa.
tiedosto
  • Paluu solmusta 4, solmusta 2, solmusta 1.
tiedosto
  • Tutki nyt muita vaihtoehtoja solmulle 3.


Hamiltonin-1

Hamiltonin sykli

  • Hamiltonin polulla 0,3,4,2,1,0} saamme syklin, koska solmu 1 on solmun 0 naapuri.
  • Joten tulosta tämä syklinen polku.
  • Tämä on meidän Hamiltonin sykli.

Alla on Backtracking-toteutus Hamiltonin syklin löytämiseksi:

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>>  
Lähtö Aika monimutkaisuus: O(N!), missä N on pisteiden lukumäärä.
Aputila: O(1), koska ylimääräistä tilaa ei ole käytetty.

Huomautus: Yllä oleva koodi tulostaa aina jakson alkaen 0 . Aloituspisteellä ei pitäisi olla merkitystä, koska sykli voidaan aloittaa mistä tahansa pisteestä. Jos haluat muuttaa aloituspistettä, sinun tulee tehdä kaksi muutosta yllä olevaan koodiin.
Muuta polkua[0] = 0; to polku[0] = s ; missä s on sinun uusi lähtökohta . Muuta myös silmukkaa for (int v = 1; v