From 106125e049d95f2c84727383d30b833d71af062c Mon Sep 17 00:00:00 2001
From: Sam Hadow <sam.hadow@inbox.lv>
Date: Wed, 14 May 2025 17:30:41 +0200
Subject: [PATCH] change output

---
 src/main.c            | 17 ++---------------
 src/power_algorithm.c | 10 ++++++----
 2 files changed, 8 insertions(+), 19 deletions(-)

diff --git a/src/main.c b/src/main.c
index 36652df..23f239f 100644
--- a/src/main.c
+++ b/src/main.c
@@ -12,7 +12,6 @@
 void test_stationary_distribution(const char *path) {
     struct timeval tvstart, tvend;
 
-    // Read and prepare the matrix
     gettimeofday(&tvstart, NULL);
     SparseMatrix *matrix = read_sparse_matrix_from_mtx(path);
     convert_to_stochastic(matrix);
@@ -22,32 +21,20 @@ void test_stationary_distribution(const char *path) {
     double epsilon = 1e-10;
     double alpha = 0.8;
 
-    // pagerank
     gettimeofday(&tvstart, NULL);
     double *pi_power = pagerank(matrix, epsilon, alpha);
     gettimeofday(&tvend, NULL);
     print_time_diff("Pagerank", &tvstart, &tvend);
 
-    // nable delta
     gettimeofday(&tvstart, NULL);
     double *pi_new = gauss_seidel_pagerank(matrix, epsilon, alpha);
 
     gettimeofday(&tvend, NULL);
-    print_time_diff("Gauss Seidel algorithm", &tvstart, &tvend);
+    print_time_diff("Gauss-Seidel:", &tvstart, &tvend);
 
-    // Compare results
     double diff = diff_norm_vector(pi_power, pi_new, matrix->num_nodes);
-    printf("Difference between power method and new algorithm: %.16f\n", diff);
+    printf("Difference norm Pagerank and Gauss-Seidel: %.16f\n", diff);
 
-
-    for (int i = 0; i < 10; ++i) {
-        printf("pi_old: %.16f\n", pi_power[i]);
-        printf("pi_new: %.16f\n", pi_new[i]);
-        printf("\n");
-    }
-
-
-    // Clean up
     free(pi_power);
     free(pi_new);
     free_sparse_matrix(matrix);
diff --git a/src/power_algorithm.c b/src/power_algorithm.c
index 46d6fce..c74f177 100644
--- a/src/power_algorithm.c
+++ b/src/power_algorithm.c
@@ -19,7 +19,6 @@ double* power_algorithm(const SparseMatrix *matrix, double epsilon) {
     init_vector(pi, N, 1.0/(double)N);
     pi2 = power_algorithm_step(matrix, pi);
     while (diff_norm_vector(pi, pi2, N)>epsilon) {
-        printf("step\n");
         memcpy(pi, pi2, vecsize);
         pi2 = power_algorithm_step(matrix, pi);
     }
@@ -65,12 +64,15 @@ double* pagerank(const SparseMatrix *matrix, double epsilon, double alpha) {
         pi = pi_new;
         pi_new = malloc(vec_size);
 
-        if ((++iter)%1 == 0) {
-            printf("Iteration %d: diff = %.16f\n", iter, diff);
-        }
+        // if ((++iter)%1 == 0) {
+        //     printf("Iteration %d: diff = %.16f\n", iter, diff);
+        // }
+        ++iter;
         free(temp);
     } while (diff > epsilon);
 
+    printf("Pagerank: %d Iterations\n", iter);
+
     free(pi_new);
     free(f);
     return pi;