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133 lines
2.8 KiB
C
133 lines
2.8 KiB
C
/* Library for graph structure analyze
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* Usage:
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* graph_analyze (N, connect, max_depth, isomorphism_class)
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*/
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#include <math.h>
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#include <stdlib.h>
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int check_cycle (const int N, const int *pn)
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// function to return number of cycles
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{
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int cycle, i;
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/* cycle - number of cycle
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*/
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cycle = 0;
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for (i=1; i<N; i++)
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cycle += i*pn[i];
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// for linear (0.5*cycle == N-1)
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cycle = 0.5 * cycle - (N - 1);
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return cycle;
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}
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int check_cycle_size (const int N, const int *matrix, const int depth, int *n_cycle)
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// function to return number of cycles of certain size
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{
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int cur_N, cycle, i, j, k, n, p, *vertex;
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/* cur_N - current number of elements in submatrix
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* cycle - if (cycle == 1) that cycle exist
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* n - number of samples
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* vertex - vertexes of subgraph
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*/
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vertex = (int *) malloc (N * sizeof (int));
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for (i=0; i<depth-2; i++)
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n_cycle[i] = 0;
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// matrix generation from
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// http://wincode.org/acm-icpc/subsets-generation
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n = pow (2, N);
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for (i=0; i<n; i++)
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{
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cur_N = 0;
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for (j=0; j<N; j++)
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if ( i & (1 << j))
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{
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vertex[cur_N] = j;
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cur_N++;
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}
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if ((cur_N > 2) && (cur_N <= depth))
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{
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// copy connectivity matrix
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cycle = 1;
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for (j=0; j<cur_N; j++)
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{
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p = 0;
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for (k=0; k<cur_N; k++)
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p += matrix[vertex[j]*N+vertex[k]];
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if (p != 2)
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cycle = 0;
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}
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// analyze subgraph
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if (cycle == 1)
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n_cycle[cur_N-3]++;
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}
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}
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free (vertex);
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return 0;
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}
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int check_tail (const int *pn)
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// function to return number of tails
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{
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return pn[1];
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}
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int graph_analyze (const int N, const int *matrix, const int max_depth, int *iso)
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/* N - number of vertex in graph
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* matrix - connectivity matrix
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* max_depth - maximum depth for check_cycle_size
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* iso - isomorphism class
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*/
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{
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int depth, i, j, *n_cycle, p, *pn;
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/* depth - depth for check_cycle_size
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* n_cycle - number of cycle
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* p - current weight
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* pn - total weight
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*/
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if (max_depth > N)
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depth = N;
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else
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depth = max_depth;
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// convert to matrix of weight
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pn = (int *) malloc (N * sizeof (int));
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n_cycle = (int *) malloc ((depth - 2) * sizeof (int));
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for (i=0; i<N; i++)
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pn[i] = 0;
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for (i=0; i<N; i++)
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{
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p = 0;
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for (j=0; j<N; j++)
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p += matrix[i*N+j];
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pn[p]++;
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}
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iso[0] = check_tail (pn);
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iso[1] = check_cycle (N, pn);
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for (i=2; i<max_depth; i++)
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iso[i] = 0;
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if (iso[1] > 0)
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{
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check_cycle_size (N, matrix, depth, n_cycle);
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for (i=0; i<depth-2; i++)
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iso[i+2] = n_cycle[i];
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}
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free (n_cycle);
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free (pn);
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return 1;
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} |