diff options
Diffstat (limited to 'src/eigen.c')
-rw-r--r-- | src/eigen.c | 35 |
1 files changed, 35 insertions, 0 deletions
diff --git a/src/eigen.c b/src/eigen.c index 36ccc92..8fcf5c4 100644 --- a/src/eigen.c +++ b/src/eigen.c @@ -48,3 +48,38 @@ double dominant_eigenvalue(Matrix_double *m, Array_double *v, double tolerance, return lambda; } + +double least_dominant_eigenvalue(Matrix_double *m, Array_double *v, + double tolerance, size_t max_iterations) { + assert(m->rows == m->cols); + assert(m->rows == v->size); + + double shift = 0.0; + Matrix_double *m_c = copy_matrix(m); + for (size_t y = 0; y < m_c->rows; ++y) + m_c->data[y]->data[y] = m_c->data[y]->data[y] - shift; + + double error = tolerance; + size_t iter = max_iterations; + double lambda = shift; + Array_double *eigenvector_1 = copy_vector(v); + + while (error >= tolerance && (--iter) > 0) { + Array_double *eigenvector_2 = solve_matrix_lu_bsubst(m_c, eigenvector_1); + Array_double *normalized_eigenvector_2 = + scale_v(eigenvector_2, 1.0 / linf_norm(eigenvector_2)); + free_vector(eigenvector_2); + eigenvector_2 = normalized_eigenvector_2; + + Array_double *mx = m_dot_v(m, eigenvector_2); + double new_lambda = + v_dot_v(mx, eigenvector_2) / v_dot_v(eigenvector_2, eigenvector_2); + + error = fabs(new_lambda - lambda); + lambda = new_lambda; + free_vector(eigenvector_1); + eigenvector_1 = eigenvector_2; + } + + return lambda; +} |