#include "matrix.h" #include void init_vec_b(const double * restrict a, double * restrict b, int n) { #pragma omp parallel for for (int i = 0; i < n; ++i) { double sum = 0; #pragma omp simd reduction(+:sum) for (int k = 0; k < n; k+=2) sum += a[i * n + k]; b[i] = sum; } } void matvec_mul(int n, const double * restrict A, const double * restrict x, double * restrict x_k) { #pragma omp parallel for for (int i = 0; i < n; i++) { double sum = 0; #pragma omp simd reduction(+:sum) for (int j = 0; j < n; j++) sum += A[i * n + j] * x[j]; x_k[i] = sum; } } double get_r1(const double * restrict A, const double * restrict x_k, const double * restrict b, int n) { double norm_r1x_1 = 0; double residual_norm_1 = 0; double r1 = 0; #pragma omp parallel for reduction(+:residual_norm_1, norm_r1x_1) for (int i = 0; i < n; ++i) { double bi = b[i]; double sum = 0; #pragma omp simd reduction(+:sum) for (int j = 0; j < n; ++j) sum += A[i*n + j] * x_k[j]; residual_norm_1 += fabs(sum - bi); norm_r1x_1 += fabs(bi); } r1 = residual_norm_1 / norm_r1x_1; return r1; } double get_r2_value(const double * restrict x_k, int n) { double relative_error = 0; double total_diff = 0; double template_sum = 0; #pragma omp parallel for reduction(+:total_diff, template_sum) for (int i = 0; i < n; ++i) { short int modi = !(i & 1); total_diff += fabs(x_k[i] - modi); template_sum += modi; } relative_error = total_diff / template_sum; return relative_error; }