diff --git a/content/zettels/singular_value_decomposition.md b/content/zettels/singular_value_decomposition.md
index 323cc8f..46f769d 100644
--- a/content/zettels/singular_value_decomposition.md
+++ b/content/zettels/singular_value_decomposition.md
@@ -45,7 +45,7 @@ We define \\(u\_1 = \bar{u}\\), \\(v\_1 = \bar{v}\\), \\(u\_k=\ubar{u}\\) and \\
 
 ## SVD to pseudo inverse rectangular matrices {#svd-to-pseudo-inverse-rectangular-matrices}
 
-This is taken from [Preumont's book](preumont18_vibrat_contr_activ_struc_fourt_edition.md).
+This is taken from [Singular Value Decomposition]({{< relref "preumont18_vibrat_contr_activ_struc_fourt_edition" >}}).
 
 The **Singular Value Decomposition** (SVD) is a generalization of the eigenvalue decomposition of a rectangular matrix:
 \\[ J = U \Sigma V^T = \sum\_{i=1}^r \sigma\_i u\_i v\_i^T \\]