Replace explicit types with Self where possible.

nalgebra-lapack/src/cholesky.rs

@@ -62,7 +62,7 @@ where DefaultAllocator: Allocator<N, D, D>
         N::xpotrf(uplo, dim, m.as_mut_slice(), dim, &mut info);
         lapack_check!(info);
 
-        Some(Cholesky { l: m })
+        Some(Self { l: m })
     }
 
     /// Retrieves the lower-triangular factor of the cholesky decomposition.

nalgebra-lapack/src/eigen.rs

@@ -127,7 +127,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>
                 lapack_check!(info);
 
                 if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Eigen {
+                    return Some(Self {
                         eigenvalues: wr,
                         left_eigenvectors: Some(vl),
                         eigenvectors: Some(vr),
@@ -156,7 +156,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>
                 lapack_check!(info);
 
                 if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Eigen {
+                    return Some(Self {
                         eigenvalues: wr,
                         left_eigenvectors: Some(vl),
                         eigenvectors: None,
@@ -185,7 +185,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>
                 lapack_check!(info);
 
                 if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Eigen {
+                    return Some(Self {
                         eigenvalues: wr,
                         left_eigenvectors: None,
                         eigenvectors: Some(vr),
@@ -212,7 +212,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>
                 lapack_check!(info);
 
                 if wi.iter().all(|e| e.is_zero()) {
-                    return Some(Eigen {
+                    return Some(Self {
                         eigenvalues: wr,
                         left_eigenvectors: None,
                         eigenvectors: None,

nalgebra-lapack/src/hessenberg.rs

@@ -48,7 +48,7 @@ impl<N: HessenbergScalar + Zero, D: DimSub<U1>> Hessenberg<N, D>
 where DefaultAllocator: Allocator<N, D, D> + Allocator<N, DimDiff<D, U1>>
 {
     /// Computes the hessenberg decomposition of the matrix `m`.
-    pub fn new(mut m: MatrixN<N, D>) -> Hessenberg<N, D> {
+    pub fn new(mut m: MatrixN<N, D>) -> Self {
         let nrows = m.data.shape().0;
         let n = nrows.value() as i32;
 
@@ -83,7 +83,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, DimDiff<D, U1>>
         );
         lapack_panic!(info);
 
-        Hessenberg { h: m, tau: tau }
+        Self { h: m, tau: tau }
     }
 
     /// Computes the hessenberg matrix of this decomposition.

nalgebra-lapack/src/lu.rs

@@ -82,7 +82,7 @@ where
         );
         lapack_panic!(info);
 
-        LU { lu: m, p: ipiv }
+        Self { lu: m, p: ipiv }
     }
 
     /// Gets the lower-triangular matrix part of the decomposition.

nalgebra-lapack/src/qr.rs

@@ -54,14 +54,14 @@ where DefaultAllocator: Allocator<N, R, C>
         + Allocator<N, DimMinimum<R, C>>
 {
     /// Computes the QR decomposition of the matrix `m`.
-    pub fn new(mut m: MatrixMN<N, R, C>) -> QR<N, R, C> {
+    pub fn new(mut m: MatrixMN<N, R, C>) -> Self {
         let (nrows, ncols) = m.data.shape();
 
         let mut info = 0;
         let mut tau = unsafe { Matrix::new_uninitialized_generic(nrows.min(ncols), U1) };
 
         if nrows.value() == 0 || ncols.value() == 0 {
-            return QR { qr: m, tau: tau };
+            return Self { qr: m, tau: tau };
         }
 
         let lwork = N::xgeqrf_work_size(
@@ -86,7 +86,7 @@ where DefaultAllocator: Allocator<N, R, C>
             &mut info,
         );
 
-        QR { qr: m, tau: tau }
+        Self { qr: m, tau: tau }
     }
 
     /// Retrieves the upper trapezoidal submatrix `R` of this decomposition.

nalgebra-lapack/src/symmetric_eigen.rs

@@ -62,7 +62,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>
     pub fn new(m: MatrixN<N, D>) -> Self {
         let (vals, vecs) =
             Self::do_decompose(m, true).expect("SymmetricEigen: convergence failure.");
-        SymmetricEigen {
+        Self {
             eigenvalues: vals,
             eigenvectors: vecs.unwrap(),
         }

src/base/dimension.rs

@@ -22,8 +22,8 @@ pub struct Dynamic {
 impl Dynamic {
     /// A dynamic size equal to `value`.
     #[inline]
-    pub fn new(value: usize) -> Dynamic {
-        Dynamic { value: value }
+    pub fn new(value: usize) -> Self {
+        Self { value: value }
     }
 }
 
@@ -80,7 +80,7 @@ impl Dim for Dynamic {
 
     #[inline]
     fn from_usize(dim: usize) -> Self {
-        Dynamic::new(dim)
+        Self::new(dim)
     }
 
     #[inline]
@@ -93,8 +93,8 @@ impl Add<usize> for Dynamic {
     type Output = Dynamic;
 
     #[inline]
-    fn add(self, rhs: usize) -> Dynamic {
-        Dynamic::new(self.value + rhs)
+    fn add(self, rhs: usize) -> Self {
+        Self::new(self.value + rhs)
     }
 }
 
@@ -102,8 +102,8 @@ impl Sub<usize> for Dynamic {
     type Output = Dynamic;
 
     #[inline]
-    fn sub(self, rhs: usize) -> Dynamic {
-        Dynamic::new(self.value - rhs)
+    fn sub(self, rhs: usize) -> Self {
+        Self::new(self.value - rhs)
     }
 }
 

src/base/matrix.rs

@@ -152,7 +152,7 @@ impl<N: Scalar, R: Dim, C: Dim, S> Matrix<N, R, C, S> {
 impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Matrix<N, R, C, S> {
     /// Creates a new matrix with the given data.
     #[inline]
-    pub fn from_data(data: S) -> Matrix<N, R, C, S> {
+    pub fn from_data(data: S) -> Self {
         unsafe { Self::from_data_statically_unchecked(data) }
     }
 

src/base/matrix_alga.rs

@@ -51,7 +51,7 @@ where
     DefaultAllocator: Allocator<N, R, C>,
 {
     #[inline]
-    fn two_sided_inverse(&self) -> MatrixMN<N, R, C> {
+    fn two_sided_inverse(&self) -> Self {
         -self
     }
 
@@ -203,7 +203,7 @@ impl<N: Real, R: DimName, C: DimName> FiniteDimInnerSpace for MatrixMN<N, R, C>
 where DefaultAllocator: Allocator<N, R, C>
 {
     #[inline]
-    fn orthonormalize(vs: &mut [MatrixMN<N, R, C>]) -> usize {
+    fn orthonormalize(vs: &mut [Self]) -> usize {
         let mut nbasis_elements = 0;
 
         for i in 0..vs.len() {

src/base/matrix_slice.rs

@@ -99,7 +99,7 @@ impl<'a, N: Scalar, R: Dim, C: Dim, RStride: Dim, CStride: Dim> Clone
 {
     #[inline]
     fn clone(&self) -> Self {
-        SliceStorage {
+        Self {
             ptr: self.ptr,
             shape: self.shape,
             strides: self.strides,

src/base/ops.rs

@@ -24,7 +24,7 @@ impl<N: Scalar, R: Dim, C: Dim, S: Storage<N, R, C>> Index<usize> for Matrix<N,
     type Output = N;
 
     #[inline]
-    fn index(&self, i: usize) -> &N {
+    fn index(&self, i: usize) -> &Self::Output {
         let ij = self.vector_to_matrix_index(i);
         &self[ij]
     }
@@ -38,7 +38,7 @@ where
     type Output = N;
 
     #[inline]
-    fn index(&self, ij: (usize, usize)) -> &N {
+    fn index(&self, ij: (usize, usize)) -> &Self::Output {
         let shape = self.shape();
         assert!(
             ij.0 < shape.0 && ij.1 < shape.1,

src/base/vec_storage.rs

@@ -36,12 +36,12 @@ pub type MatrixVec<N, R, C> = VecStorage<N, R, C>;
 impl<N, R: Dim, C: Dim> VecStorage<N, R, C> {
     /// Creates a new dynamic matrix data storage from the given vector and shape.
     #[inline]
-    pub fn new(nrows: R, ncols: C, data: Vec<N>) -> VecStorage<N, R, C> {
+    pub fn new(nrows: R, ncols: C, data: Vec<N>) -> Self {
         assert!(
             nrows.value() * ncols.value() == data.len(),
             "Data storage buffer dimension mismatch."
         );
-        VecStorage {
+        Self {
             data: data,
             nrows: nrows,
             ncols: ncols,

src/geometry/isometry.rs

@@ -100,7 +100,7 @@ where DefaultAllocator: Allocator<N, D>
 {
     #[inline]
     fn clone(&self) -> Self {
-        Isometry::from_parts(self.translation.clone(), self.rotation.clone())
+        Self::from_parts(self.translation.clone(), self.rotation.clone())
     }
 }
 
@@ -122,8 +122,8 @@ where DefaultAllocator: Allocator<N, D>
     /// assert_relative_eq!(iso * Point3::new(1.0, 2.0, 3.0), Point3::new(-1.0, 2.0, 0.0), epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn from_parts(translation: Translation<N, D>, rotation: R) -> Isometry<N, D, R> {
-        Isometry {
+    pub fn from_parts(translation: Translation<N, D>, rotation: R) -> Self {
+        Self {
             rotation: rotation,
             translation: translation,
             _noconstruct: PhantomData,
@@ -144,7 +144,7 @@ where DefaultAllocator: Allocator<N, D>
     /// assert_eq!(inv * (iso * pt), pt);
     /// ```
     #[inline]
-    pub fn inverse(&self) -> Isometry<N, D, R> {
+    pub fn inverse(&self) -> Self {
         let mut res = self.clone();
         res.inverse_mut();
         res
@@ -306,7 +306,7 @@ where
     DefaultAllocator: Allocator<N, D>,
 {
     #[inline]
-    fn eq(&self, right: &Isometry<N, D, R>) -> bool {
+    fn eq(&self, right: &Self) -> bool {
         self.translation == right.translation && self.rotation == right.rotation
     }
 }

src/geometry/isometry_alga.rs

@@ -121,7 +121,7 @@ where
     type Translation = Translation<N, D>;
 
     #[inline]
-    fn decompose(&self) -> (Translation<N, D>, R, Id, R) {
+    fn decompose(&self) -> (Self::Translation, R, Id, R) {
         (
             self.translation.clone(),
             self.rotation.clone(),

src/geometry/orthographic.rs

@@ -26,7 +26,7 @@ impl<N: Real> Copy for Orthographic3<N> {}
 impl<N: Real> Clone for Orthographic3<N> {
     #[inline]
     fn clone(&self) -> Self {
-        Orthographic3::from_matrix_unchecked(self.matrix.clone())
+        Self::from_matrix_unchecked(self.matrix.clone())
     }
 }
 
@@ -57,7 +57,7 @@ impl<'a, N: Real + Deserialize<'a>> Deserialize<'a> for Orthographic3<N> {
     where Des: Deserializer<'a> {
         let matrix = Matrix4::<N>::deserialize(deserializer)?;
 
-        Ok(Orthographic3::from_matrix_unchecked(matrix))
+        Ok(Self::from_matrix_unchecked(matrix))
     }
 }
 
@@ -135,7 +135,7 @@ impl<N: Real> Orthographic3<N> {
     /// ```
     #[inline]
     pub fn from_matrix_unchecked(matrix: Matrix4<N>) -> Self {
-        Orthographic3 { matrix: matrix }
+        Self { matrix: matrix }
     }
 
     /// Creates a new orthographic projection matrix from an aspect ratio and the vertical field of view.

src/geometry/perspective.rs

@@ -27,7 +27,7 @@ impl<N: Real> Copy for Perspective3<N> {}
 impl<N: Real> Clone for Perspective3<N> {
     #[inline]
     fn clone(&self) -> Self {
-        Perspective3::from_matrix_unchecked(self.matrix.clone())
+        Self::from_matrix_unchecked(self.matrix.clone())
     }
 }
 
@@ -58,7 +58,7 @@ impl<'a, N: Real + Deserialize<'a>> Deserialize<'a> for Perspective3<N> {
     where Des: Deserializer<'a> {
         let matrix = Matrix4::<N>::deserialize(deserializer)?;
 
-        Ok(Perspective3::from_matrix_unchecked(matrix))
+        Ok(Self::from_matrix_unchecked(matrix))
     }
 }
 
@@ -75,7 +75,7 @@ impl<N: Real> Perspective3<N> {
         );
 
         let matrix = Matrix4::identity();
-        let mut res = Perspective3::from_matrix_unchecked(matrix);
+        let mut res = Self::from_matrix_unchecked(matrix);
 
         res.set_fovy(fovy);
         res.set_aspect(aspect);
@@ -93,7 +93,7 @@ impl<N: Real> Perspective3<N> {
     /// projection.
     #[inline]
     pub fn from_matrix_unchecked(matrix: Matrix4<N>) -> Self {
-        Perspective3 { matrix: matrix }
+        Self { matrix: matrix }
     }
 
     /// Retrieves the inverse of the underlying homogeneous matrix.

src/geometry/point.rs

@@ -66,7 +66,7 @@ where
     where Des: Deserializer<'a> {
         let coords = VectorN::<N, D>::deserialize(deserializer)?;
 
-        Ok(Point::from(coords))
+        Ok(Self::from(coords))
     }
 }
 
@@ -126,8 +126,8 @@ where DefaultAllocator: Allocator<N, D>
     /// Creates a new point with the given coordinates.
     #[deprecated(note = "Use Point::from(vector) instead.")]
     #[inline]
-    pub fn from_coordinates(coords: VectorN<N, D>) -> Point<N, D> {
-        Point { coords: coords }
+    pub fn from_coordinates(coords: VectorN<N, D>) -> Self {
+        Self { coords: coords }
     }
 
     /// The dimension of this point.

src/geometry/point_alga.rs

@@ -54,7 +54,7 @@ where
 {
     #[inline]
     fn meet(&self, other: &Self) -> Self {
-        Point::from(self.coords.meet(&other.coords))
+        Self::from(self.coords.meet(&other.coords))
     }
 }
 
@@ -65,7 +65,7 @@ where
 {
     #[inline]
     fn join(&self, other: &Self) -> Self {
-        Point::from(self.coords.join(&other.coords))
+        Self::from(self.coords.join(&other.coords))
     }
 }
 
@@ -78,6 +78,6 @@ where
     fn meet_join(&self, other: &Self) -> (Self, Self) {
         let (meet, join) = self.coords.meet_join(&other.coords);
 
-        (Point::from(meet), Point::from(join))
+        (Self::from(meet), Self::from(join))
     }
 }

src/geometry/point_construction.rs

@@ -145,7 +145,7 @@ where
 {
     #[inline]
     fn arbitrary<G: Gen>(g: &mut G) -> Self {
-        Point::from(VectorN::arbitrary(g))
+        Self::from(VectorN::arbitrary(g))
     }
 }
 
@@ -163,7 +163,7 @@ macro_rules! componentwise_constructors_impl(
             #[doc = $doc]
             #[doc = "```"]
             #[inline]
-            pub fn new($($args: N),*) -> Point<N, $D> {
+            pub fn new($($args: N),*) -> Self {
                 unsafe {
                     let mut res = Self::new_uninitialized();
                     $( *res.get_unchecked_mut($irow) = $args; )*
@@ -194,7 +194,7 @@ macro_rules! from_array_impl(
     ($($D: ty, $len: expr);*) => {$(
       impl <N: Scalar> From<[N; $len]> for Point<N, $D> {
           fn from (coords: [N; $len]) -> Self {
-              Point {
+              Self {
                 coords: coords.into()
               }
           }

src/geometry/point_conversion.rs

@@ -45,7 +45,7 @@ where
 
     #[inline]
     unsafe fn from_superset_unchecked(m: &Point<N2, D>) -> Self {
-        Point::from(Matrix::from_superset_unchecked(&m.coords))
+        Self::from(Matrix::from_superset_unchecked(&m.coords))
     }
 }
 

src/geometry/point_ops.rs

@@ -46,11 +46,11 @@ where DefaultAllocator: Allocator<N, D>
 impl<N: Scalar + ClosedNeg, D: DimName> Neg for Point<N, D>
 where DefaultAllocator: Allocator<N, D>
 {
-    type Output = Point<N, D>;
+    type Output = Self;
 
     #[inline]
     fn neg(self) -> Self::Output {
-        Point::from(-self.coords)
+        Self::Output::from(-self.coords)
     }
 }
 
@@ -61,7 +61,7 @@ where DefaultAllocator: Allocator<N, D>
 
     #[inline]
     fn neg(self) -> Self::Output {
-        Point::from(-&self.coords)
+        Self::Output::from(-&self.coords)
     }
 }
 

src/geometry/quaternion.rs

@@ -68,7 +68,7 @@ impl<N: Real> Copy for Quaternion<N> {}
 impl<N: Real> Clone for Quaternion<N> {
     #[inline]
     fn clone(&self) -> Self {
-        Quaternion::from(self.coords.clone())
+        Self::from(self.coords.clone())
     }
 }
 
@@ -90,7 +90,7 @@ where Owned<N, U4>: Deserialize<'a>
     where Des: Deserializer<'a> {
         let coords = Vector4::<N>::deserialize(deserializer)?;
 
-        Ok(Quaternion::from(coords))
+        Ok(Self::from(coords))
     }
 }
 
@@ -98,15 +98,15 @@ impl<N: Real> Quaternion<N> {
     /// Moves this unit quaternion into one that owns its data.
     #[inline]
     #[deprecated(note = "This method is a no-op and will be removed in a future release.")]
-    pub fn into_owned(self) -> Quaternion<N> {
+    pub fn into_owned(self) -> Self {
         self
     }
 
     /// Clones this unit quaternion into one that owns its data.
     #[inline]
     #[deprecated(note = "This method is a no-op and will be removed in a future release.")]
-    pub fn clone_owned(&self) -> Quaternion<N> {
-        Quaternion::from(self.coords.clone_owned())
+    pub fn clone_owned(&self) -> Self {
+        Self::from(self.coords.clone_owned())
     }
 
     /// Normalizes this quaternion.
@@ -120,8 +120,8 @@ impl<N: Real> Quaternion<N> {
     /// relative_eq!(q_normalized.norm(), 1.0);
     /// ```
     #[inline]
-    pub fn normalize(&self) -> Quaternion<N> {
-        Quaternion::from(self.coords.normalize())
+    pub fn normalize(&self) -> Self {
+        Self::from(self.coords.normalize())
     }
 
     /// The conjugate of this quaternion.
@@ -134,14 +134,14 @@ impl<N: Real> Quaternion<N> {
     /// assert!(conj.i == -2.0 && conj.j == -3.0 && conj.k == -4.0 && conj.w == 1.0);
     /// ```
     #[inline]
-    pub fn conjugate(&self) -> Quaternion<N> {
+    pub fn conjugate(&self) -> Self {
         let v = Vector4::new(
             -self.coords[0],
             -self.coords[1],
             -self.coords[2],
             self.coords[3],
         );
-        Quaternion::from(v)
+        Self::from(v)
     }
 
     /// Inverts this quaternion if it is not zero.
@@ -163,8 +163,8 @@ impl<N: Real> Quaternion<N> {
     /// assert!(inv_q.is_none());
     /// ```
     #[inline]
-    pub fn try_inverse(&self) -> Option<Quaternion<N>> {
-        let mut res = Quaternion::from(self.coords.clone_owned());
+    pub fn try_inverse(&self) -> Option<Self> {
+        let mut res = Self::from(self.coords.clone_owned());
 
         if res.try_inverse_mut() {
             Some(res)
@@ -186,7 +186,7 @@ impl<N: Real> Quaternion<N> {
     /// assert_eq!(q1.lerp(&q2, 0.1), Quaternion::new(1.9, 3.8, 5.7, 7.6));
     /// ```
     #[inline]
-    pub fn lerp(&self, other: &Quaternion<N>, t: N) -> Quaternion<N> {
+    pub fn lerp(&self, other: &Self, t: N) -> Self {
         self * (N::one() - t) + other * t
     }
 
@@ -346,12 +346,12 @@ impl<N: Real> Quaternion<N> {
     /// assert_relative_eq!(q.ln(), Quaternion::new(1.683647, 1.190289, 0.0, 0.0), epsilon = 1.0e-6)
     /// ```
     #[inline]
-    pub fn ln(&self) -> Quaternion<N> {
+    pub fn ln(&self) -> Self {
         let n = self.norm();
         let v = self.vector();
         let s = self.scalar();
 
-        Quaternion::from_parts(n.ln(), v.normalize() * (s / n).acos())
+        Self::from_parts(n.ln(), v.normalize() * (s / n).acos())
     }
 
     /// Compute the exponential of a quaternion.
@@ -364,7 +364,7 @@ impl<N: Real> Quaternion<N> {
     /// assert_relative_eq!(q.exp(), Quaternion::new(2.0, 5.0, 0.0, 0.0), epsilon = 1.0e-5)
     /// ```
     #[inline]
-    pub fn exp(&self) -> Quaternion<N> {
+    pub fn exp(&self) -> Self {
         self.exp_eps(N::default_epsilon())
     }
 
@@ -383,18 +383,18 @@ impl<N: Real> Quaternion<N> {
     /// assert_eq!(q.exp_eps(1.0e-6), Quaternion::identity());
     /// ```
     #[inline]
-    pub fn exp_eps(&self, eps: N) -> Quaternion<N> {
+    pub fn exp_eps(&self, eps: N) -> Self {
         let v = self.vector();
         let nn = v.norm_squared();
 
         if nn <= eps * eps {
-            Quaternion::identity()
+            Self::identity()
         } else {
             let w_exp = self.scalar().exp();
             let n = nn.sqrt();
             let nv = v * (w_exp * n.sin() / n);
 
-            Quaternion::from_parts(w_exp * n.cos(), nv)
+            Self::from_parts(w_exp * n.cos(), nv)
         }
     }
 
@@ -408,7 +408,7 @@ impl<N: Real> Quaternion<N> {
     /// assert_relative_eq!(q.powf(1.5), Quaternion::new( -6.2576659, 4.1549037, 6.2323556, 8.3098075), epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn powf(&self, n: N) -> Quaternion<N> {
+    pub fn powf(&self, n: N) -> Self {
         (self.ln() * n).exp()
     }
 
@@ -577,7 +577,7 @@ impl<N: Real> UnitQuaternion<N> {
     #[deprecated(
         note = "This method is unnecessary and will be removed in a future release. Use `.clone()` instead."
     )]
-    pub fn into_owned(self) -> UnitQuaternion<N> {
+    pub fn into_owned(self) -> Self {
         self
     }
 
@@ -586,7 +586,7 @@ impl<N: Real> UnitQuaternion<N> {
     #[deprecated(
         note = "This method is unnecessary and will be removed in a future release. Use `.clone()` instead."
     )]
-    pub fn clone_owned(&self) -> UnitQuaternion<N> {
+    pub fn clone_owned(&self) -> Self {
         *self
     }
 
@@ -637,8 +637,8 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_eq!(conj, UnitQuaternion::from_axis_angle(&-axis, 1.78));
     /// ```
     #[inline]
-    pub fn conjugate(&self) -> UnitQuaternion<N> {
-        UnitQuaternion::new_unchecked(self.as_ref().conjugate())
+    pub fn conjugate(&self) -> Self {
+        Self::new_unchecked(self.as_ref().conjugate())
     }
 
     /// Inverts this quaternion if it is not zero.
@@ -653,7 +653,7 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_eq!(inv * rot, UnitQuaternion::identity());
     /// ```
     #[inline]
-    pub fn inverse(&self) -> UnitQuaternion<N> {
+    pub fn inverse(&self) -> Self {
         self.conjugate()
     }
 
@@ -668,7 +668,7 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_relative_eq!(rot1.angle_to(&rot2), 1.0045657, epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn angle_to(&self, other: &UnitQuaternion<N>) -> N {
+    pub fn angle_to(&self, other: &Self) -> N {
         let delta = self.rotation_to(other);
         delta.angle()
     }
@@ -687,7 +687,7 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_relative_eq!(rot_to * rot1, rot2, epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn rotation_to(&self, other: &UnitQuaternion<N>) -> UnitQuaternion<N> {
+    pub fn rotation_to(&self, other: &Self) -> Self{
         other / self
     }
 
@@ -703,7 +703,7 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_eq!(q1.lerp(&q2, 0.1), Quaternion::new(0.9, 0.1, 0.0, 0.0));
     /// ```
     #[inline]
-    pub fn lerp(&self, other: &UnitQuaternion<N>, t: N) -> Quaternion<N> {
+    pub fn lerp(&self, other: &Self, t: N) -> Quaternion<N> {
         self.as_ref().lerp(other.as_ref(), t)
     }
 
@@ -719,11 +719,11 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_eq!(q1.nlerp(&q2, 0.1), UnitQuaternion::new_normalize(Quaternion::new(0.9, 0.1, 0.0, 0.0)));
     /// ```
     #[inline]
-    pub fn nlerp(&self, other: &UnitQuaternion<N>, t: N) -> UnitQuaternion<N> {
+    pub fn nlerp(&self, other: &Self, t: N) -> Self {
         let mut res = self.lerp(other, t);
         let _ = res.normalize_mut();
 
-        UnitQuaternion::new_unchecked(res)
+        Self::new_unchecked(res)
     }
 
     /// Spherical linear interpolation between two unit quaternions.
@@ -731,7 +731,7 @@ impl<N: Real> UnitQuaternion<N> {
     /// Panics if the angle between both quaternion is 180 degrees (in which case the interpolation
     /// is not well-defined). Use `.try_slerp` instead to avoid the panic.
     #[inline]
-    pub fn slerp(&self, other: &UnitQuaternion<N>, t: N) -> UnitQuaternion<N> {
+    pub fn slerp(&self, other: &Self, t: N) -> Self {
         Unit::new_unchecked(Quaternion::from(
             Unit::new_unchecked(self.coords)
                 .slerp(&Unit::new_unchecked(other.coords), t)
@@ -752,10 +752,10 @@ impl<N: Real> UnitQuaternion<N> {
     #[inline]
     pub fn try_slerp(
         &self,
-        other: &UnitQuaternion<N>,
+        other: &Self,
         t: N,
         epsilon: N,
-    ) -> Option<UnitQuaternion<N>>
+    ) -> Option<Self>
     {
         Unit::new_unchecked(self.coords)
             .try_slerp(&Unit::new_unchecked(other.coords), t, epsilon)
@@ -902,11 +902,11 @@ impl<N: Real> UnitQuaternion<N> {
     /// assert_eq!(pow.angle(), 2.4);
     /// ```
     #[inline]
-    pub fn powf(&self, n: N) -> UnitQuaternion<N> {
+    pub fn powf(&self, n: N) -> Self {
         if let Some(v) = self.axis() {
-            UnitQuaternion::from_axis_angle(&v, self.angle() * n)
+            Self::from_axis_angle(&v, self.angle() * n)
         } else {
-            UnitQuaternion::identity()
+            Self::identity()
         }
     }
 

src/geometry/quaternion_construction.rs

@@ -25,7 +25,7 @@ impl<N: Real> Quaternion<N> {
     #[inline]
     #[deprecated(note = "Use `::from` instead.")]
     pub fn from_vector(vector: Vector4<N>) -> Self {
-        Quaternion { coords: vector }
+        Self { coords: vector }
     }
 
     /// Creates a new quaternion from its individual components. Note that the arguments order does
@@ -130,7 +130,7 @@ where Owned<N, U4>: Send
 {
     #[inline]
     fn arbitrary<G: Gen>(g: &mut G) -> Self {
-        Quaternion::new(
+        Self::new(
             N::arbitrary(g),
             N::arbitrary(g),
             N::arbitrary(g),
@@ -683,7 +683,7 @@ where
     #[inline]
     fn arbitrary<G: Gen>(g: &mut G) -> Self {
         let axisangle = Vector3::arbitrary(g);
-        UnitQuaternion::from_scaled_axis(axisangle)
+        Self::from_scaled_axis(axisangle)
     }
 }
 

src/geometry/quaternion_conversion.rs

@@ -103,7 +103,7 @@ impl<N1, N2, R> SubsetOf<Isometry<N2, U3, R>> for UnitQuaternion<N1>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point3<N2>> + SupersetOf<UnitQuaternion<N1>>,
+    R: AlgaRotation<Point3<N2>> + SupersetOf<Self>,
 {
     #[inline]
     fn to_superset(&self) -> Isometry<N2, U3, R> {
@@ -125,7 +125,7 @@ impl<N1, N2, R> SubsetOf<Similarity<N2, U3, R>> for UnitQuaternion<N1>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point3<N2>> + SupersetOf<UnitQuaternion<N1>>,
+    R: AlgaRotation<Point3<N2>> + SupersetOf<Self>,
 {
     #[inline]
     fn to_superset(&self) -> Similarity<N2, U3, R> {
@@ -186,7 +186,7 @@ impl<N1: Real, N2: Real + SupersetOf<N1>> SubsetOf<Matrix4<N2>> for UnitQuaterni
 #[cfg(feature = "mint")]
 impl<N: Real> From<mint::Quaternion<N>> for Quaternion<N> {
     fn from(q: mint::Quaternion<N>) -> Self {
-        Quaternion::new(q.s, q.v.x, q.v.y, q.v.z)
+        Self::new(q.s, q.v.x, q.v.y, q.v.z)
     }
 }
 
@@ -220,14 +220,14 @@ impl<N: Real> Into<mint::Quaternion<N>> for UnitQuaternion<N> {
 
 impl<N: Real> From<UnitQuaternion<N>> for Matrix4<N> {
     #[inline]
-    fn from(q: UnitQuaternion<N>) -> Matrix4<N> {
+    fn from(q: UnitQuaternion<N>) -> Self {
         q.to_homogeneous()
     }
 }
 
 impl<N: Real> From<UnitQuaternion<N>> for Matrix3<N> {
     #[inline]
-    fn from(q: UnitQuaternion<N>) -> Matrix3<N> {
+    fn from(q: UnitQuaternion<N>) -> Self {
         q.to_rotation_matrix().into_inner()
     }
 }
@@ -235,6 +235,6 @@ impl<N: Real> From<UnitQuaternion<N>> for Matrix3<N> {
 impl<N: Real> From<Vector4<N>> for Quaternion<N> {
     #[inline]
     fn from(coords: Vector4<N>) -> Self {
-        Quaternion { coords }
+        Self { coords }
     }
 }

src/geometry/quaternion_ops.rs

@@ -67,7 +67,7 @@ impl<N: Real> Index<usize> for Quaternion<N> {
     type Output = N;
 
     #[inline]
-    fn index(&self, i: usize) -> &N {
+    fn index(&self, i: usize) -> &Self::Output {
         &self.coords[i]
     }
 }

src/geometry/reflection.rs

@@ -18,8 +18,8 @@ impl<N: Real, D: Dim, S: Storage<N, D>> Reflection<N, D, S> {
     ///
     /// The bias is the position of the plane on the axis. In particular, a bias equal to zero
     /// represents a plane that passes through the origin.
-    pub fn new(axis: Unit<Vector<N, D, S>>, bias: N) -> Reflection<N, D, S> {
-        Reflection {
+    pub fn new(axis: Unit<Vector<N, D, S>>, bias: N) -> Self {
+        Self {
             axis: axis.into_inner(),
             bias: bias,
         }
@@ -30,7 +30,7 @@ impl<N: Real, D: Dim, S: Storage<N, D>> Reflection<N, D, S> {
     pub fn new_containing_point(
         axis: Unit<Vector<N, D, S>>,
         pt: &Point<N, D>,
-    ) -> Reflection<N, D, S>
+    ) -> Self
     where
         D: DimName,
         DefaultAllocator: Allocator<N, D>,

src/geometry/rotation.rs

@@ -53,7 +53,7 @@ where
 {
     #[inline]
     fn clone(&self) -> Self {
-        Rotation::from_matrix_unchecked(self.matrix.clone())
+        Self::from_matrix_unchecked(self.matrix.clone())
     }
 }
 
@@ -100,7 +100,7 @@ where
     where Des: Deserializer<'a> {
         let matrix = MatrixN::<N, D>::deserialize(deserializer)?;
 
-        Ok(Rotation::from_matrix_unchecked(matrix))
+        Ok(Self::from_matrix_unchecked(matrix))
     }
 }
 
@@ -241,13 +241,13 @@ where DefaultAllocator: Allocator<N, D, D>
     /// assert_eq!(*rot.matrix(), mat);
     /// ```
     #[inline]
-    pub fn from_matrix_unchecked(matrix: MatrixN<N, D>) -> Rotation<N, D> {
+    pub fn from_matrix_unchecked(matrix: MatrixN<N, D>) -> Self {
         assert!(
             matrix.is_square(),
             "Unable to create a rotation from a non-square matrix."
         );
 
-        Rotation { matrix: matrix }
+        Self { matrix: matrix }
     }
 
     /// Transposes `self`.
@@ -269,8 +269,8 @@ where DefaultAllocator: Allocator<N, D, D>
     /// assert_relative_eq!(tr_rot * rot, Rotation2::identity(), epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn transpose(&self) -> Rotation<N, D> {
-        Rotation::from_matrix_unchecked(self.matrix.transpose())
+    pub fn transpose(&self) -> Self {
+        Self::from_matrix_unchecked(self.matrix.transpose())
     }
 
     /// Inverts `self`.
@@ -292,7 +292,7 @@ where DefaultAllocator: Allocator<N, D, D>
     /// assert_relative_eq!(inv * rot, Rotation2::identity(), epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn inverse(&self) -> Rotation<N, D> {
+    pub fn inverse(&self) -> Self {
         self.transpose()
     }
 
@@ -357,7 +357,7 @@ impl<N: Scalar + PartialEq, D: DimName> PartialEq for Rotation<N, D>
 where DefaultAllocator: Allocator<N, D, D>
 {
     #[inline]
-    fn eq(&self, right: &Rotation<N, D>) -> bool {
+    fn eq(&self, right: &Self) -> bool {
         self.matrix == right.matrix
     }
 }

src/geometry/rotation_conversion.rs

@@ -102,7 +102,7 @@ impl<N1, N2, D: DimName, R> SubsetOf<Isometry<N2, D, R>> for Rotation<N1, D>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point<N2, D>> + SupersetOf<Rotation<N1, D>>,
+    R: AlgaRotation<Point<N2, D>> + SupersetOf<Self>,
     DefaultAllocator: Allocator<N1, D, D> + Allocator<N2, D>,
 {
     #[inline]
@@ -125,7 +125,7 @@ impl<N1, N2, D: DimName, R> SubsetOf<Similarity<N2, D, R>> for Rotation<N1, D>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point<N2, D>> + SupersetOf<Rotation<N1, D>>,
+    R: AlgaRotation<Point<N2, D>> + SupersetOf<Self>,
     DefaultAllocator: Allocator<N1, D, D> + Allocator<N2, D>,
 {
     #[inline]
@@ -219,28 +219,28 @@ impl<N: Real> From<mint::EulerAngles<N, mint::IntraXYZ>> for Rotation3<N> {
 
 impl<N: Real> From<Rotation2<N>> for Matrix3<N> {
     #[inline]
-    fn from(q: Rotation2<N>) -> Matrix3<N> {
+    fn from(q: Rotation2<N>) ->Self {
         q.to_homogeneous()
     }
 }
 
 impl<N: Real> From<Rotation2<N>> for Matrix2<N> {
     #[inline]
-    fn from(q: Rotation2<N>) -> Matrix2<N> {
+    fn from(q: Rotation2<N>) -> Self {
         q.into_inner()
     }
 }
 
 impl<N: Real> From<Rotation3<N>> for Matrix4<N> {
     #[inline]
-    fn from(q: Rotation3<N>) -> Matrix4<N> {
+    fn from(q: Rotation3<N>) -> Self {
         q.to_homogeneous()
     }
 }
 
 impl<N: Real> From<Rotation3<N>> for Matrix3<N> {
     #[inline]
-    fn from(q: Rotation3<N>) -> Matrix3<N> {
+    fn from(q: Rotation3<N>) -> Self {
         q.into_inner()
     }
 }

src/geometry/rotation_specialization.rs

@@ -125,7 +125,7 @@ impl<N: Real> Rotation2<N> {
     /// assert_relative_eq!(rot1.angle_to(&rot2), 1.6);
     /// ```
     #[inline]
-    pub fn angle_to(&self, other: &Rotation2<N>) -> N {
+    pub fn angle_to(&self, other: &Self) -> N {
         self.rotation_to(other).angle()
     }
 
@@ -145,7 +145,7 @@ impl<N: Real> Rotation2<N> {
     /// assert_relative_eq!(rot_to.inverse() * rot2, rot1);
     /// ```
     #[inline]
-    pub fn rotation_to(&self, other: &Rotation2<N>) -> Rotation2<N> {
+    pub fn rotation_to(&self, other: &Self) -> Self {
         other * self.inverse()
     }
 
@@ -161,7 +161,7 @@ impl<N: Real> Rotation2<N> {
     /// assert_relative_eq!(pow.angle(), 2.0 * 0.78);
     /// ```
     #[inline]
-    pub fn powf(&self, n: N) -> Rotation2<N> {
+    pub fn powf(&self, n: N) -> Self {
         Self::new(self.angle() * n)
     }
 
@@ -655,7 +655,7 @@ impl<N: Real> Rotation3<N> {
     /// assert_relative_eq!(rot1.angle_to(&rot2), 1.0045657, epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn angle_to(&self, other: &Rotation3<N>) -> N {
+    pub fn angle_to(&self, other: &Self) -> N {
         self.rotation_to(other).angle()
     }
 
@@ -673,7 +673,7 @@ impl<N: Real> Rotation3<N> {
     /// assert_relative_eq!(rot_to * rot1, rot2, epsilon = 1.0e-6);
     /// ```
     #[inline]
-    pub fn rotation_to(&self, other: &Rotation3<N>) -> Rotation3<N> {
+    pub fn rotation_to(&self, other: &Self) -> Self {
         other * self.inverse()
     }
 
@@ -692,7 +692,7 @@ impl<N: Real> Rotation3<N> {
     /// assert_eq!(pow.angle(), 2.4);
     /// ```
     #[inline]
-    pub fn powf(&self, n: N) -> Rotation3<N> {
+    pub fn powf(&self, n: N) -> Self {
         if let Some(axis) = self.axis() {
             Self::from_axis_angle(&axis, self.angle() * n)
         } else if self.matrix()[(0, 0)] < N::zero() {

src/geometry/similarity.rs

@@ -106,20 +106,20 @@ where
         translation: Translation<N, D>,
         rotation: R,
         scaling: N,
-    ) -> Similarity<N, D, R>
+    ) -> Self
     {
-        Similarity::from_isometry(Isometry::from_parts(translation, rotation), scaling)
+        Self::from_isometry(Isometry::from_parts(translation, rotation), scaling)
     }
 
     /// Creates a new similarity from its rotational and translational parts.
     #[inline]
-    pub fn from_isometry(isometry: Isometry<N, D, R>, scaling: N) -> Similarity<N, D, R> {
+    pub fn from_isometry(isometry: Isometry<N, D, R>, scaling: N) -> Self {
         assert!(
             !relative_eq!(scaling, N::zero()),
             "The scaling factor must not be zero."
         );
 
-        Similarity {
+        Self {
             isometry: isometry,
             scaling: scaling,
         }
@@ -127,13 +127,13 @@ where
 
     /// Creates a new similarity that applies only a scaling factor.
     #[inline]
-    pub fn from_scaling(scaling: N) -> Similarity<N, D, R> {
+    pub fn from_scaling(scaling: N) -> Self {
         Self::from_isometry(Isometry::identity(), scaling)
     }
 
     /// Inverts `self`.
     #[inline]
-    pub fn inverse(&self) -> Similarity<N, D, R> {
+    pub fn inverse(&self) -> Self {
         let mut res = self.clone();
         res.inverse_mut();
         res
@@ -277,7 +277,7 @@ where
     DefaultAllocator: Allocator<N, D>,
 {
     #[inline]
-    fn eq(&self, right: &Similarity<N, D, R>) -> bool {
+    fn eq(&self, right: &Self) -> bool {
         self.isometry == right.isometry && self.scaling == right.scaling
     }
 }

src/geometry/transform_conversion.rs

@@ -57,7 +57,7 @@ where
 
     #[inline]
     unsafe fn from_superset_unchecked(m: &MatrixN<N2, DimNameSum<D, U1>>) -> Self {
-        Transform::from_matrix_unchecked(::convert_ref_unchecked(m))
+        Self::from_matrix_unchecked(::convert_ref_unchecked(m))
     }
 }
 

src/geometry/unit_complex.rs

@@ -108,7 +108,7 @@ impl<N: Real> UnitComplex<N> {
     /// ```
     #[inline]
     pub fn conjugate(&self) -> Self {
-        UnitComplex::new_unchecked(self.conj())
+        Self::new_unchecked(self.conj())
     }
 
     /// Inverts this complex number if it is not zero.
@@ -314,7 +314,7 @@ impl<N: Real> From<UnitComplex<N>> for Matrix3<N> {
 
 impl<N: Real> From<UnitComplex<N>> for Matrix2<N> {
     #[inline]
-    fn from(q: UnitComplex<N>) -> Matrix2<N> {
+    fn from(q: UnitComplex<N>) -> Self {
         q.to_rotation_matrix().into_inner()
     }
 }

src/geometry/unit_complex_construction.rs

@@ -85,7 +85,7 @@ impl<N: Real> UnitComplex<N> {
     /// ```
     #[inline]
     pub fn from_cos_sin_unchecked(cos: N, sin: N) -> Self {
-        UnitComplex::new_unchecked(Complex::new(cos, sin))
+        Self::new_unchecked(Complex::new(cos, sin))
     }
 
     /// Builds a unit complex rotation from an angle in radian wrapped in a 1-dimensional vector.

src/geometry/unit_complex_conversion.rs

@@ -74,7 +74,7 @@ impl<N1, N2, R> SubsetOf<Isometry<N2, U2, R>> for UnitComplex<N1>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point2<N2>> + SupersetOf<UnitComplex<N1>>,
+    R: AlgaRotation<Point2<N2>> + SupersetOf<Self>,
 {
     #[inline]
     fn to_superset(&self) -> Isometry<N2, U2, R> {
@@ -96,7 +96,7 @@ impl<N1, N2, R> SubsetOf<Similarity<N2, U2, R>> for UnitComplex<N1>
 where
     N1: Real,
     N2: Real + SupersetOf<N1>,
-    R: AlgaRotation<Point2<N2>> + SupersetOf<UnitComplex<N1>>,
+    R: AlgaRotation<Point2<N2>> + SupersetOf<Self>,
 {
     #[inline]
     fn to_superset(&self) -> Similarity<N2, U2, R> {

src/geometry/unit_complex_ops.rs

@@ -45,11 +45,11 @@ use geometry::{Isometry, Point2, Rotation, Similarity, Translation, UnitComplex}
  */
 
 // UnitComplex × UnitComplex
-impl<N: Real> Mul<UnitComplex<N>> for UnitComplex<N> {
-    type Output = UnitComplex<N>;
+impl<N: Real> Mul<Self> for UnitComplex<N> {
+    type Output = Self;
 
     #[inline]
-    fn mul(self, rhs: UnitComplex<N>) -> UnitComplex<N> {
+    fn mul(self, rhs: Self) -> Self {
         Unit::new_unchecked(self.into_inner() * rhs.into_inner())
     }
 }
@@ -58,16 +58,16 @@ impl<'a, N: Real> Mul<UnitComplex<N>> for &'a UnitComplex<N> {
     type Output = UnitComplex<N>;
 
     #[inline]
-    fn mul(self, rhs: UnitComplex<N>) -> UnitComplex<N> {
+    fn mul(self, rhs: UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.complex() * rhs.into_inner())
     }
 }
 
 impl<'b, N: Real> Mul<&'b UnitComplex<N>> for UnitComplex<N> {
-    type Output = UnitComplex<N>;
+    type Output = Self;
 
     #[inline]
-    fn mul(self, rhs: &'b UnitComplex<N>) -> UnitComplex<N> {
+    fn mul(self, rhs: &'b UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.into_inner() * rhs.complex())
     }
 }
@@ -76,17 +76,17 @@ impl<'a, 'b, N: Real> Mul<&'b UnitComplex<N>> for &'a UnitComplex<N> {
     type Output = UnitComplex<N>;
 
     #[inline]
-    fn mul(self, rhs: &'b UnitComplex<N>) -> UnitComplex<N> {
+    fn mul(self, rhs: &'b UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.complex() * rhs.complex())
     }
 }
 
 // UnitComplex ÷ UnitComplex
-impl<N: Real> Div<UnitComplex<N>> for UnitComplex<N> {
-    type Output = UnitComplex<N>;
+impl<N: Real> Div<Self> for UnitComplex<N> {
+    type Output = Self;
 
     #[inline]
-    fn div(self, rhs: UnitComplex<N>) -> UnitComplex<N> {
+    fn div(self, rhs: Self) -> Self::Output {
         Unit::new_unchecked(self.into_inner() * rhs.conjugate().into_inner())
     }
 }
@@ -95,16 +95,16 @@ impl<'a, N: Real> Div<UnitComplex<N>> for &'a UnitComplex<N> {
     type Output = UnitComplex<N>;
 
     #[inline]
-    fn div(self, rhs: UnitComplex<N>) -> UnitComplex<N> {
+    fn div(self, rhs: UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.complex() * rhs.conjugate().into_inner())
     }
 }
 
 impl<'b, N: Real> Div<&'b UnitComplex<N>> for UnitComplex<N> {
-    type Output = UnitComplex<N>;
+    type Output = Self;
 
     #[inline]
-    fn div(self, rhs: &'b UnitComplex<N>) -> UnitComplex<N> {
+    fn div(self, rhs: &'b UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.into_inner() * rhs.conjugate().into_inner())
     }
 }
@@ -113,7 +113,7 @@ impl<'a, 'b, N: Real> Div<&'b UnitComplex<N>> for &'a UnitComplex<N> {
     type Output = UnitComplex<N>;
 
     #[inline]
-    fn div(self, rhs: &'b UnitComplex<N>) -> UnitComplex<N> {
+    fn div(self, rhs: &'b UnitComplex<N>) -> Self::Output {
         Unit::new_unchecked(self.complex() * rhs.conjugate().into_inner())
     }
 }

src/linalg/full_piv_lu.rs

@@ -61,7 +61,7 @@ where DefaultAllocator: Allocator<N, R, C> + Allocator<(usize, usize), DimMinimu
         let mut q = PermutationSequence::identity_generic(min_nrows_ncols);
 
         if min_nrows_ncols.value() == 0 {
-            return FullPivLU {
+            return Self {
                 lu: matrix,
                 p: p,
                 q: q,
@@ -91,7 +91,7 @@ where DefaultAllocator: Allocator<N, R, C> + Allocator<(usize, usize), DimMinimu
             }
         }
 
-        FullPivLU {
+        Self {
             lu: matrix,
             p: p,
             q: q,

src/linalg/permutation_sequence.rs

@@ -69,7 +69,7 @@ where DefaultAllocator: Allocator<(usize, usize), D>
     #[inline]
     pub fn identity_generic(dim: D) -> Self {
         unsafe {
-            PermutationSequence {
+            Self {
                 len: 0,
                 ipiv: VectorN::new_uninitialized_generic(dim, U1),
             }

src/linalg/schur.rs

@@ -55,7 +55,7 @@ where
         + Allocator<N, D>,
 {
     /// Computes the Schur decomposition of a square matrix.
-    pub fn new(m: MatrixN<N, D>) -> RealSchur<N, D> {
+    pub fn new(m: MatrixN<N, D>) -> Self {
         Self::try_new(m, N::default_epsilon(), 0).unwrap()
     }
 
@@ -70,7 +70,7 @@ where
     /// * `max_niter` − maximum total number of iterations performed by the algorithm. If this
     /// number of iteration is exceeded, `None` is returned. If `niter == 0`, then the algorithm
     /// continues indefinitely until convergence.
-    pub fn try_new(m: MatrixN<N, D>, eps: N, max_niter: usize) -> Option<RealSchur<N, D>> {
+    pub fn try_new(m: MatrixN<N, D>, eps: N, max_niter: usize) -> Option<Self> {
         let mut work = unsafe { VectorN::new_uninitialized_generic(m.data.shape().0, U1) };
 
         Self::do_decompose(m, &mut work, eps, max_niter, true).map(|(q, t)| RealSchur {

src/linalg/svd.rs

@@ -271,7 +271,7 @@ where
             }
         }
 
-        Some(SVD {
+        Some(Self {
             u: u,
             v_t: v_t,
             singular_values: b.diagonal,

src/linalg/symmetric_tridiagonal.rs

@@ -83,7 +83,7 @@ where DefaultAllocator: Allocator<N, D, D> + Allocator<N, DimDiff<D, U1>>
             }
         }
 
-        SymmetricTridiagonal {
+        Self {
             tri: m,
             off_diagonal: off_diagonal,
         }

src/sparse/cs_matrix.rs

@@ -21,7 +21,7 @@ impl<'a, N> ColumnEntries<'a, N> {
     #[inline]
     pub fn new(i: &'a [usize], v: &'a [N]) -> Self {
         assert_eq!(i.len(), v.len());
-        ColumnEntries { curr: 0, i, v }
+        Self { curr: 0, i, v }
     }
 }
 
@@ -29,7 +29,7 @@ impl<'a, N: Copy> Iterator for ColumnEntries<'a, N> {
     type Item = (usize, N);
 
     #[inline]
-    fn next(&mut self) -> Option<(usize, N)> {
+    fn next(&mut self) -> Option<Self::Item> {
         if self.curr >= self.i.len() {
             None
         } else {

src/sparse/cs_matrix_ops.rs

@@ -138,7 +138,7 @@ where
 {
     type Output = CsMatrix<N, R1, C2>;
 
-    fn mul(self, rhs: &'b CsMatrix<N, R2, C2, S2>) -> CsMatrix<N, R1, C2> {
+    fn mul(self, rhs: &'b CsMatrix<N, R2, C2, S2>) -> Self::Output {
         let (nrows1, ncols1) = self.data.shape();
         let (nrows2, ncols2) = rhs.data.shape();
         assert_eq!(
@@ -231,7 +231,7 @@ where
 {
     type Output = CsMatrix<N, R1, C2>;
 
-    fn add(self, rhs: &'b CsMatrix<N, R2, C2, S2>) -> CsMatrix<N, R1, C2> {
+    fn add(self, rhs: &'b CsMatrix<N, R2, C2, S2>) -> Self::Output {
         let (nrows1, ncols1) = self.data.shape();
         let (nrows2, ncols2) = rhs.data.shape();
         assert_eq!(
@@ -294,7 +294,7 @@ where
 {
     type Output = Self;
 
-    fn mul(mut self, rhs: N) -> Self {
+    fn mul(mut self, rhs: N) -> Self::Output {
         for e in self.values_mut() {
             *e *= rhs
         }