diff --git a/nalgebra-lapack/src/generalized_eigenvalues.rs b/nalgebra-lapack/src/generalized_eigenvalues.rs
index e9057792..467d24da 100644
--- a/nalgebra-lapack/src/generalized_eigenvalues.rs
+++ b/nalgebra-lapack/src/generalized_eigenvalues.rs
@@ -45,7 +45,7 @@ use lapack;
     )
 )]
 #[derive(Clone, Debug)]
-pub struct GE<T: Scalar, D: Dim>
+pub struct GeneralizedEigen<T: Scalar, D: Dim>
 where
     DefaultAllocator: Allocator<T, D> + Allocator<T, D, D>,
 {
@@ -56,7 +56,7 @@ where
     vsr: OMatrix<T, D, D>,
 }
 
-impl<T: Scalar + Copy, D: Dim> Copy for GE<T, D>
+impl<T: Scalar + Copy, D: Dim> Copy for GeneralizedEigen<T, D>
 where
     DefaultAllocator: Allocator<T, D, D> + Allocator<T, D>,
     OMatrix<T, D, D>: Copy,
@@ -64,7 +64,7 @@ where
 {
 }
 
-impl<T: GEScalar + RealField + Copy, D: Dim> GE<T, D>
+impl<T: GeneralizedEigenScalar + RealField + Copy, D: Dim> GeneralizedEigen<T, D>
 where
     DefaultAllocator: Allocator<T, D, D> + Allocator<T, D>,
 {
@@ -170,7 +170,7 @@ where
         );
         lapack_check!(info);
 
-        Some(GE {
+        Some(GeneralizedEigen {
             alphar,
             alphai,
             beta,
@@ -300,8 +300,8 @@ where
  * Lapack functions dispatch.
  *
  */
-/// Trait implemented by scalars for which Lapack implements the RealField GE decomposition.
-pub trait GEScalar: Scalar {
+/// Trait implemented by scalars for which Lapack implements the RealField GeneralizedEigen decomposition.
+pub trait GeneralizedEigenScalar: Scalar {
     #[allow(missing_docs)]
     fn xggev(
         jobvsl: u8,
@@ -345,7 +345,7 @@ pub trait GEScalar: Scalar {
 
 macro_rules! real_eigensystem_scalar_impl (
     ($N: ty, $xggev: path) => (
-        impl GEScalar for $N {
+        impl GeneralizedEigenScalar for $N {
             #[inline]
             fn xggev(jobvsl:  u8,
                      jobvsr:  u8,
diff --git a/nalgebra-lapack/src/lib.rs b/nalgebra-lapack/src/lib.rs
index 1e6c396f..ea2e2b53 100644
--- a/nalgebra-lapack/src/lib.rs
+++ b/nalgebra-lapack/src/lib.rs
@@ -96,7 +96,7 @@ use num_complex::Complex;
 
 pub use self::cholesky::{Cholesky, CholeskyScalar};
 pub use self::eigen::Eigen;
-pub use self::generalized_eigenvalues::GE;
+pub use self::generalized_eigenvalues::GeneralizedEigen;
 pub use self::hessenberg::Hessenberg;
 pub use self::lu::{LUScalar, LU};
 pub use self::qr::QR;
diff --git a/nalgebra-lapack/tests/linalg/generalized_eigenvalues.rs b/nalgebra-lapack/tests/linalg/generalized_eigenvalues.rs
index 8b868fc9..ab678bf3 100644
--- a/nalgebra-lapack/tests/linalg/generalized_eigenvalues.rs
+++ b/nalgebra-lapack/tests/linalg/generalized_eigenvalues.rs
@@ -1,6 +1,6 @@
 use na::dimension::Const;
 use na::{DMatrix, OMatrix};
-use nl::GE;
+use nl::GeneralizedEigen;
 use num_complex::Complex;
 use simba::scalar::ComplexField;
 
@@ -20,7 +20,7 @@ proptest! {
         let b_c = b.clone().map(|x| Complex::new(x, 0.0));
         let n = a.shape_generic().0;
 
-        let ge = GE::new(a.clone(), b.clone());
+        let ge = GeneralizedEigen::new(a.clone(), b.clone());
         let (vsl,vsr) = ge.clone().eigenvectors();
 
 
@@ -45,7 +45,7 @@ proptest! {
     #[test]
     fn ge_static(a in matrix4(), b in matrix4()) {
 
-        let ge = GE::new(a.clone(), b.clone());
+        let ge = GeneralizedEigen::new(a.clone(), b.clone());
         let a_c =a.clone().map(|x| Complex::new(x, 0.0));
         let b_c = b.clone().map(|x| Complex::new(x, 0.0));
         let (vsl,vsr) = ge.eigenvectors();