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https://github.com/TheAlgorithms/C
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create a random symmetric matrix with real eigen values
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@ -1,15 +1,27 @@
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#include <stdio.h>
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#include <math.h>
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#include <stdlib.h>
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#include <time.h>
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#include <function_timer.h>
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#define ROWS 3
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#define COLUMNS ROWS /* Ensure square matrix */
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#define LIMS 9
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double _A[][COLUMNS] = {
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{-3.44827586, -1.62068966, -3.03448276},
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{-1.03448276, -0.5862069, -1.31034483},
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{-1.55172414, -0.37931034, 0.03448276}};
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void create_matrix(double **A, int N)
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{
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int i, j, tmp, lim2 = LIMS >> 1;
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srand(time(NULL));
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for (i = 0; i < N; i++)
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{
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A[i][i] = (rand() % LIMS) - lim2;
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for (j = i + 1; j < N; j++)
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{
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tmp = (rand() % LIMS) - lim2;
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A[i][j] = tmp;
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A[j][i] = tmp;
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}
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}
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}
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void print_matrix(double **A, int M, int N)
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{
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@ -115,37 +127,41 @@ double **mat_mul(double **A, double **B, double **OUT, int R1, int C1, int R2, i
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return OUT;
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}
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int main(void)
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int main(int argc, char **argv)
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{
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int i, rows = ROWS, columns = COLUMNS;
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int mat_size = 5;
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if (argc == 2)
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mat_size = atoi(argv[1]);
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double **A = (double **)malloc(sizeof(double) * ROWS);
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double **R = (double **)malloc(sizeof(double) * COLUMNS);
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double **Q = (double **)malloc(sizeof(double) * ROWS);
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double *eigen_vals = (double *)malloc(sizeof(double) * COLUMNS);
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int i, rows = mat_size, columns = mat_size;
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double **A = (double **)malloc(sizeof(double) * mat_size);
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double **R = (double **)malloc(sizeof(double) * mat_size);
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double **Q = (double **)malloc(sizeof(double) * mat_size);
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double *eigen_vals = (double *)malloc(sizeof(double) * mat_size);
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if (!Q || !R || !eigen_vals)
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{
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perror("Unable to allocate memory for Q & R!");
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return -1;
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}
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for (i = 0; i < ROWS; i++)
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for (i = 0; i < mat_size; i++)
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{
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A[i] = (double *)malloc(sizeof(double) * COLUMNS);
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R[i] = (double *)malloc(sizeof(double) * COLUMNS);
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Q[i] = (double *)malloc(sizeof(double) * COLUMNS);
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A[i] = (double *)malloc(sizeof(double) * mat_size);
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R[i] = (double *)malloc(sizeof(double) * mat_size);
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Q[i] = (double *)malloc(sizeof(double) * mat_size);
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if (!Q[i] || !R[i])
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{
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perror("Unable to allocate memory for Q & R.");
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return -1;
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}
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for (columns = 0; columns < COLUMNS; columns++)
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A[i][columns] = _A[i][columns];
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}
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print_matrix(A, ROWS, COLUMNS);
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create_matrix(A, mat_size);
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print_matrix(A, mat_size, mat_size);
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int counter = 0, num_eigs = rows - 1;
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double last_eig = 0, eig_val = 0.;
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double last_eig = 0;
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function_timer *t1 = new_timer();
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start_timer(t1);
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@ -162,7 +178,7 @@ int main(void)
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print_matrix(A, rows, columns);
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print_matrix(Q, rows, columns);
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print_matrix(R, columns, columns);
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printf("-------------------- %d ---------------------\n", counter++);
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printf("-------------------- %d ---------------------\n", ++counter);
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#endif
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mat_mul(R, Q, A, columns, columns, rows, columns);
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for (int i = 0; i < rows; i++)
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@ -180,21 +196,18 @@ int main(void)
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columns--;
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}
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eigen_vals[0] = A[0][0];
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#if defined(DEBUG) || !defined(NDEBUG)
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printf("========================\n");
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printf("Eigen value: % g,\n", last_eig);
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printf("========================\n");
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#endif
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double dtime = end_timer(t1);
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print_matrix(R, ROWS, COLUMNS);
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print_matrix(Q, ROWS, COLUMNS);
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#if defined(DEBUG) || !defined(NDEBUG)
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print_matrix(R, mat_size, mat_size);
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print_matrix(Q, mat_size, mat_size);
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#endif
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printf("Eigen vals: ");
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for (i = 0; i < ROWS; i++)
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printf("% 9.3g\t", eigen_vals[i]);
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printf("\nTime taken to compute: %.3g sec\n", dtime);
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for (i = 0; i < mat_size; i++)
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printf("% 9.4g\t", eigen_vals[i]);
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printf("\nTime taken to compute: % .4g sec\n", dtime);
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for (int i = 0; i < ROWS; i++)
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for (int i = 0; i < mat_size; i++)
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{
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free(A[i]);
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free(R[i]);
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@ -203,5 +216,6 @@ int main(void)
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free(A);
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free(R);
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free(Q);
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free(eigen_vals);
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return 0;
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}
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