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-rw-r--r--src/eigen.c35
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;
+}