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-rw-r--r--src/eigen.c19
1 files changed, 12 insertions, 7 deletions
diff --git a/src/eigen.c b/src/eigen.c
index 8fcf5c4..c4af461 100644
--- a/src/eigen.c
+++ b/src/eigen.c
@@ -49,12 +49,12 @@ 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) {
+double shift_inverse_power_eigenvalue(Matrix_double *m, Array_double *v,
+ double shift, 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;
@@ -69,17 +69,22 @@ double least_dominant_eigenvalue(Matrix_double *m, Array_double *v,
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);
+ Array_double *mx = m_dot_v(m, normalized_eigenvector_2);
double new_lambda =
- v_dot_v(mx, eigenvector_2) / v_dot_v(eigenvector_2, eigenvector_2);
+ v_dot_v(mx, normalized_eigenvector_2) /
+ v_dot_v(normalized_eigenvector_2, normalized_eigenvector_2);
error = fabs(new_lambda - lambda);
lambda = new_lambda;
free_vector(eigenvector_1);
- eigenvector_1 = eigenvector_2;
+ eigenvector_1 = normalized_eigenvector_2;
}
return lambda;
}
+
+double least_dominant_eigenvalue(Matrix_double *m, Array_double *v,
+ double tolerance, size_t max_iterations) {
+ return shift_inverse_power_eigenvalue(m, v, 0.0, tolerance, max_iterations);
+}