# include # include # include # include using namespace std; # define NV 6 int main ( int argc, char **argv ); int *dijkstra_distance ( int ohd[NV][NV] ); void find_nearest ( int mind[NV], bool connected[NV], int *d, int *v ); void init ( int ohd[NV][NV] ); void timestamp ( ); void update_mind ( int mv, bool connected[NV], int ohd[NV][NV], int mind[NV] ); //****************************************************************************80 int main ( int argc, char **argv ) //****************************************************************************80 // // Purpose: // // MAIN runs an example of Dijkstra's minimum distance algorithm. // // Discussion: // // Given the distance matrix that defines a graph, we seek a list // of the minimum distances between node 0 and all other nodes. // // This program sets up a small example problem and solves it. // // The correct minimum distances are: // // 0 35 15 45 49 41 // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 30 June 2010 // // Author: // // Original C version by Norm Matloff, CS Dept, UC Davis. // This C++ version by John Burkardt. // { int i; int i4_huge = 2147483647; int j; int *mind; int ohd[NV][NV]; timestamp ( ); cout << "\n"; cout << "DIJKSTRA\n"; cout << " C++ version\n"; cout << " Use Dijkstra's algorithm to determine the minimum\n"; cout << " distance from node 0 to each node in a graph,\n"; cout << " given the distances between each pair of nodes.\n"; // // Initialize the problem data. // init ( ohd ); // // Print the distance matrix. // cout << "\n"; cout << " Distance matrix:\n"; cout << "\n"; for ( i = 0; i < NV; i++ ) { for ( j = 0; j < NV; j++ ) { if ( ohd[i][j] == i4_huge ) { cout << " Inf"; } else { cout << " " << setw(3) << ohd[i][j]; } } cout << "\n"; } // // Carry out the algorithm. // mind = dijkstra_distance ( ohd ); // // Print the results. // cout << "\n"; cout << " Minimum distances from node 0:\n"; cout << "\n"; for ( i = 0; i < NV; i++ ) { cout << " " << setw(2) << i << " " << setw(2) << mind[i] << "\n"; } // // Terminate. // delete [] mind; cout << "\n"; cout << "DIJKSTRA\n"; cout << " Normal end of execution.\n"; cout << "\n"; timestamp ( ); return 0; } //****************************************************************************80 int *dijkstra_distance ( int ohd[NV][NV] ) //****************************************************************************80 // // Purpose: // // DIJKSTRA_DISTANCE uses Dijkstra's minimum distance algorithm. // // Discussion: // // We essentially build a tree. We start with only node 0 connected // to the tree, and this is indicated by setting CONNECTED[0] = TRUE. // // We initialize MIND[I] to the one step distance from node 0 to node I. // // Now we search among the unconnected nodes for the node MV whose minimum // distance is smallest, and connect it to the tree. For each remaining // unconnected node I, we check to see whether the distance from 0 to MV // to I is less than that recorded in MIND[I], and if so, we can reduce // the distance. // // After NV-1 steps, we have connected all the nodes to 0, and computed // the correct minimum distances. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 01 July 2010 // // Author: // // Original C version by Norm Matloff, CS Dept, UC Davis. // This C++ version by John Burkardt. // // Parameters: // // Input, int OHD[NV][NV], the distance of the direct link between // nodes I and J. // // Output, int DIJKSTRA_DISTANCE[NV], the minimum distance from node 0 // to each node. // { bool *connected; int i; int md; int *mind; int mv; int step; // // Start out with only node 0 connected to the tree. // connected = new bool[NV]; connected[0] = true; for ( i = 1; i < NV; i++ ) { connected[i] = false; } // // Initialize the minimum distance to the one-step distance. // mind = new int[NV]; for ( i = 0; i < NV; i++ ) { mind[i] = ohd[0][i]; } // // Attach one more node on each iteration. // for ( step = 1; step < NV; step++ ) { // // Find the nearest unconnected node. // find_nearest ( mind, connected, &md, &mv ); if ( mv == - 1 ) { cout << "\n"; cout << "DIJKSTRA_DISTANCE - Warning!\n"; cout << " Search terminated early.\n"; cout << " Graph might not be connected.\n"; break; } // // Mark this node as connected. // connected[mv] = true; // // Having determined the minimum distance to node MV, see if // that reduces the minimum distance to other nodes. // update_mind ( mv, connected, ohd, mind ); } delete [] connected; return mind; } //****************************************************************************80 void find_nearest ( int mind[NV], bool connected[NV], int *d, int *v ) //****************************************************************************80 // // Purpose: // // FIND_NEAREST finds the nearest unconnected node. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 30 June 2010 // // Author: // // Original C version by Norm Matloff, CS Dept, UC Davis. // This C++ version by John Burkardt. // // Parameters: // // Input, int MIND[NV], the currently computed minimum distance from // node 0 to each node. // // Input, bool CONNECTED[NV], is true for each connected node, whose // minimum distance to node 0 has been determined. // // Output, int *D, the distance from node 0 to the nearest unconnected node. // // Output, int *V, the index of the nearest unconnected node. // { int i; int i4_huge = 2147483647; *d = i4_huge; *v = -1; for ( i = 0; i < NV; i++ ) { if ( !connected[i] && mind[i] < *d ) { *d = mind[i]; *v = i; } } return; } //****************************************************************************80 void init ( int ohd[NV][NV] ) //****************************************************************************80 // // Purpose: // // INIT initializes the problem data. // // Discussion: // // The graph uses 6 nodes, and has the following diagram and // distance matrix: // // N0--15--N2-100--N3 0 40 15 Inf Inf Inf // . . . 40 0 20 10 25 6 // . . . 15 20 0 100 Inf Inf // 40 20 10 Inf 10 100 0 Inf Inf // . . . Inf 25 Inf Inf 0 8 // . . . Inf 6 Inf Inf 8 0 // N1 // . . // . . // 6 25 // . . // . . // N5----8-----N4 // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 30 June 2010 // // Author: // // Original C version by Norm Matloff, CS Dept, UC Davis. // This C++ version by John Burkardt. // // Parameters: // // Output, int OHD[NV][NV], the distance of the direct link between // nodes I and J. // { int i; int i4_huge = 2147483647; int j; for ( i = 0; i < NV; i++ ) { for ( j = 0; j < NV; j++ ) { if ( i == j ) { ohd[i][i] = 0; } else { ohd[i][j] = i4_huge; } } } ohd[0][1] = ohd[1][0] = 40; ohd[0][2] = ohd[2][0] = 15; ohd[1][2] = ohd[2][1] = 20; ohd[1][3] = ohd[3][1] = 10; ohd[1][4] = ohd[4][1] = 25; ohd[2][3] = ohd[3][2] = 100; ohd[1][5] = ohd[5][1] = 6; ohd[4][5] = ohd[5][4] = 8; return; } //****************************************************************************80 void timestamp ( ) //****************************************************************************80 // // Purpose: // // TIMESTAMP prints the current YMDHMS date as a time stamp. // // Example: // // 31 May 2001 09:45:54 AM // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 08 July 2009 // // Author: // // John Burkardt // // Parameters: // // None // { # define TIME_SIZE 40 static char time_buffer[TIME_SIZE]; const struct std::tm *tm_ptr; std::time_t now; now = std::time ( NULL ); tm_ptr = std::localtime ( &now ); std::strftime ( time_buffer, TIME_SIZE, "%d %B %Y %I:%M:%S %p", tm_ptr ); std::cout << time_buffer << "\n"; return; # undef TIME_SIZE } //****************************************************************************80 void update_mind ( int mv, bool connected[NV], int ohd[NV][NV], int mind[NV] ) //****************************************************************************80 // // Purpose: // // UPDATE_MIND updates the minimum distance vector. // // Discussion: // // We've just determined the minimum distance to node MV. // // For each node I which is not connected yet, // check whether the route from node 0 to MV to I is shorter // than the currently known minimum distance. // // Licensing: // // This code is distributed under the MIT license. // // Modified: // // 02 July 2010 // // Author: // // Original C version by Norm Matloff, CS Dept, UC Davis. // This C++ version by John Burkardt. // // Parameters: // // Input, int MV, the node whose minimum distance to node 0 // has just been determined. // // Input, bool CONNECTED[NV], is true for each connected node, whose // minimum distance to node 0 has been determined. // // Input, int OHD[NV][NV], the distance of the direct link between // nodes I and J. // // Input/output, int MIND[NV], the currently computed minimum distances // from node 0 to each node. // { int i; const int i4_huge = 2147483647; for ( i = 0; i < NV; i++ ) { if ( !connected[i] ) { // // If we really use the maximum integer (or something close) to indicate // no link, then we'll get burned if we add it to another value; // Integer arithmetic can "wrap around", so that 17 + i4_huge becomes // a very negative number! So first we eliminate the possiblity that // the link is infinite. // if ( ohd[mv][i] < i4_huge ) { if ( mind[mv] + ohd[mv][i] < mind[i] ) { mind[i] = mind[mv] + ohd[mv][i]; } } } } return; }