crappy but working version
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		| @@ -49,8 +49,8 @@ double* gauss_seidel_pagerank(const SparseMatrix *matrix, double epsilon, double | ||||
|         for (int i = N - 1; i >= 0; i--) { | ||||
|             double result_mult = 0.0; | ||||
|             double M_ii = 0.0; | ||||
|             for (int k = matrix->row_ptr[i]; k < matrix->row_ptr[i + 1]; k++) { | ||||
|                 int j = matrix->arcs[k].dest; | ||||
|             for (int k = matrix->col_ptr[i]; k < matrix->col_ptr[i + 1]; k++) { | ||||
|                 int j = matrix->arcs[k].origin; | ||||
|                 double value = matrix->arcs[k].value; | ||||
|  | ||||
|                 if (j == i) { | ||||
|   | ||||
							
								
								
									
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							| @@ -10,6 +10,37 @@ | ||||
| #include "time_helper.h" | ||||
| #include <sys/time.h> | ||||
| #include <string.h> | ||||
| #include <stdio.h> | ||||
| #include <stdlib.h> | ||||
|  | ||||
| static double *values_for_sort; | ||||
| int cmp_desc(const void *a, const void *b) { | ||||
|     int ia = *(const int*)a; | ||||
|     int ib = *(const int*)b; | ||||
|     if (values_for_sort[ia] < values_for_sort[ib]) return  1; | ||||
|     if (values_for_sort[ia] > values_for_sort[ib]) return -1; | ||||
|     return 0; | ||||
| } | ||||
|  | ||||
| void print_top_k(const char *name, double *pi, int n, int k) { | ||||
|     int *idx = malloc(n * sizeof(int)); | ||||
|     if(!idx) { | ||||
|         fprintf(stderr, "malloc failed\n"); | ||||
|         return; | ||||
|     } | ||||
|     for (int i = 0; i < n; i++) idx[i] = i; | ||||
|  | ||||
|     values_for_sort = pi; | ||||
|     qsort(idx, n, sizeof(int), cmp_desc); | ||||
|  | ||||
|     printf("Top %d entries of %s:\n", k, name); | ||||
|     for (int i = 0; i < k && i < n; i++) { | ||||
|         int node = idx[i]; | ||||
|         printf("  %2d: node %d → %.8f\n", i+1, node, pi[node]); | ||||
|     } | ||||
|     free(idx); | ||||
| } | ||||
|  | ||||
|  | ||||
| void test_stationary_distribution(const char *path, double epsilon, double alpha) { | ||||
|     struct timeval tvstart, tvend; | ||||
| @@ -42,6 +73,11 @@ void test_stationary_distribution(const char *path, double epsilon, double alpha | ||||
|     double diff = diff_norm_vector(pi_power, pi_new, matrix->num_nodes); | ||||
|     printf("Difference norm Pagerank and Gauss-Seidel: %.16f\n", diff); | ||||
|  | ||||
|     int n = matrix->num_nodes; | ||||
|     int k = 10; | ||||
|     print_top_k("pagerank (power)", pi_power, n, k); | ||||
|     print_top_k("pagerank (Gauss–Seidel)", pi_new,    n, k); | ||||
|  | ||||
|     free(pi_power); | ||||
|     free(pi_new); | ||||
|     free_sparse_matrix(matrix); | ||||
|   | ||||
| @@ -53,14 +53,14 @@ void convert_to_stochastic(SparseMatrix *matrix) { | ||||
|  | ||||
|     // count non zero values | ||||
|     for (int i = 0; i < matrix->num_arcs; i++) { | ||||
|         non_zero[matrix->arcs[i].dest] += matrix->arcs[i].value; | ||||
|         non_zero[matrix->arcs[i].origin] += matrix->arcs[i].value; | ||||
|     } | ||||
|  | ||||
|     // normalize values | ||||
|     for (int i = 0; i < matrix->num_arcs; i++) { | ||||
|         int dest = matrix->arcs[i].dest; | ||||
|         int origin = matrix->arcs[i].origin; | ||||
|         double old_value = matrix->arcs[i].value; | ||||
|         matrix->arcs[i].value = old_value / (double)non_zero[dest]; | ||||
|         matrix->arcs[i].value = old_value / (double)non_zero[origin]; | ||||
|     } | ||||
|  | ||||
|     free(non_zero); | ||||
| @@ -69,6 +69,6 @@ void convert_to_stochastic(SparseMatrix *matrix) { | ||||
| int compare_arcs(const void *a, const void *b) { | ||||
|     Arc *arc_a = (Arc *)a; | ||||
|     Arc *arc_b = (Arc *)b; | ||||
|     return arc_a->origin - arc_b->origin; | ||||
|     return arc_a->dest - arc_b->dest; | ||||
| } | ||||
|  | ||||
|   | ||||
| @@ -67,20 +67,20 @@ SparseMatrix* read_sparse_matrix_from_mtx(const char *filename) { | ||||
|  | ||||
|     parse_arcs(matrix, file); | ||||
|  | ||||
|     // Sort arcs by origin | ||||
|     // Sort arcs by destination | ||||
|     qsort(matrix->arcs, matrix->num_arcs, sizeof(Arc), compare_arcs); | ||||
|     // Build row_ptr | ||||
|     matrix->row_ptr = (int *)malloc((matrix->num_nodes + 1) * sizeof(int)); | ||||
|     int current_origin = 0; | ||||
|     matrix->row_ptr[0] = 0; | ||||
|     // Build col_ptr | ||||
|     matrix->col_ptr = (int *)malloc((matrix->num_nodes + 1) * sizeof(int)); | ||||
|     int current_dest = 0; | ||||
|     matrix->col_ptr[0] = 0; | ||||
|     for (int k = 0; k < matrix->num_arcs; k++) { | ||||
|         while (matrix->arcs[k].origin > current_origin) { | ||||
|             current_origin++; | ||||
|             matrix->row_ptr[current_origin] = k; | ||||
|         while (matrix->arcs[k].dest > current_dest) { | ||||
|             current_dest++; | ||||
|             matrix->col_ptr[current_dest] = k; | ||||
|         } | ||||
|     } | ||||
|     for (int i = current_origin + 1; i <= matrix->num_nodes; i++) { | ||||
|         matrix->row_ptr[i] = matrix->num_arcs; | ||||
|     for (int i = current_dest + 1; i <= matrix->num_nodes; i++) { | ||||
|         matrix->col_ptr[i] = matrix->num_arcs; | ||||
|     } | ||||
|  | ||||
|     fclose(file); | ||||
|   | ||||
| @@ -99,21 +99,21 @@ SparseMatrix* read_sparse_matrix_from_rb(const char *filename) { | ||||
|     } | ||||
|  | ||||
|  | ||||
|     // Sort arcs by origin | ||||
|     // Sort arcs by destination | ||||
|     qsort(matrix->arcs, matrix->num_arcs, sizeof(Arc), compare_arcs); | ||||
|  | ||||
|     // Build row_ptr | ||||
|     matrix->row_ptr = (int *)malloc((matrix->num_nodes + 1) * sizeof(int)); | ||||
|     int current_origin = 0; | ||||
|     matrix->row_ptr[0] = 0; | ||||
|     // Build col_ptr | ||||
|     matrix->col_ptr = (int *)malloc((matrix->num_nodes + 1) * sizeof(int)); | ||||
|     int current_destination = 0; | ||||
|     matrix->col_ptr[0] = 0; | ||||
|     for (int k = 0; k < matrix->num_arcs; k++) { | ||||
|         while (matrix->arcs[k].origin > current_origin) { | ||||
|             current_origin++; | ||||
|             matrix->row_ptr[current_origin] = k; | ||||
|         while (matrix->arcs[k].dest > current_destination) { | ||||
|             current_destination++; | ||||
|             matrix->col_ptr[current_destination] = k; | ||||
|         } | ||||
|     } | ||||
|     for (int i = current_origin + 1; i <= matrix->num_nodes; i++) { | ||||
|         matrix->row_ptr[i] = matrix->num_arcs; | ||||
|     for (int i = current_destination + 1; i <= matrix->num_nodes; i++) { | ||||
|         matrix->col_ptr[i] = matrix->num_arcs; | ||||
|     } | ||||
|  | ||||
|     free(col_ptr); | ||||
|   | ||||
| @@ -11,7 +11,7 @@ typedef struct { | ||||
|     int num_nodes; | ||||
|     int num_arcs; | ||||
|     Arc *arcs; | ||||
|     int *row_ptr; | ||||
|     int *col_ptr; | ||||
| } SparseMatrix; | ||||
|  | ||||
| void free_sparse_matrix(SparseMatrix *matrix); | ||||
|   | ||||
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