Wed, 03 Sep 2025 21:31:13 -0500
nalgebra matrix distances
| src/euclidean/wrap.rs | file | annotate | diff | comparison | revisions | |
| src/nalgebra_support.rs | file | annotate | diff | comparison | revisions |
--- a/src/euclidean/wrap.rs Wed Sep 03 21:03:47 2025 -0500 +++ b/src/euclidean/wrap.rs Wed Sep 03 21:31:13 2025 -0500 @@ -135,6 +135,8 @@ $crate::wrap!(impl_scalar_mut $F, $type, std::ops::MulAssign, mul_assign where $($qual)*); $crate::wrap!(impl_scalar_mut $F, $type, std::ops::DivAssign, div_assign where $($qual)*); + $crate::self_ownable!($type where $($qual)*); + impl<$($qual)*> $crate::euclidean::Euclidean<$F> for $type // where // Self: $crate::euclidean::wrap::Wrapped<WrappedField = $F> @@ -153,6 +155,8 @@ // + for<'b> std::ops::SubAssign<&'b Self> // + std::ops::Neg<Output = <Self as $crate::linops::AXPY>::Owned>, { + type PrincipalE = Self; + fn dot<I: $crate::instance::Instance<Self>>(&self, other: I) -> $F { other.eval_decompose(|x| self.get_view().dot(&x.get_view())) } @@ -166,6 +170,22 @@ } } + impl<$($qual)*> $crate::linops::VectorSpace for $type + // where + // Self : $crate::euclidean::wrap::Wrapped<WrappedField = $F>, + // Self::Unwrapped : $crate::linops::AXPY<Field = F>, + // Self: std::ops::MulAssign<F> + std::ops::DivAssign<F>, + // Self::Unwrapped: std::ops::MulAssign<F> + std::ops::DivAssign<F>, + { + type Field = $F; + type PrincipalV = Self; + + /// Return a similar zero as `self`. + fn similar_origin(&self) -> Self::PrincipalV { + Self::wrap(self.get_view().similar_origin()) + } + } + impl<$($qual)*> $crate::linops::AXPY for $type // where // Self : $crate::euclidean::wrap::Wrapped<WrappedField = $F>, @@ -173,10 +193,7 @@ // Self: std::ops::MulAssign<F> + std::ops::DivAssign<F>, // Self::Unwrapped: std::ops::MulAssign<F> + std::ops::DivAssign<F>, { - type Field = $F; - type Owned = Self; - - fn axpy<I: $crate::instance::Instance<Self>>(&mut self, α: $F, x: I, β: $F) { + fn axpy<I: $crate::instance::Instance<Self>>(&mut self, α: $F, x: I, β: $F) { x.eval_decompose(|v| { self.get_view_mut().axpy(α, v.get_view(), β) }) @@ -194,11 +211,6 @@ }) } - /// Return a similar zero as `self`. - fn similar_origin(&self) -> Self::Owned { - Self::wrap(self.get_view().similar_origin()) - } - /// Set self to zero. fn set_zero(&mut self) { self.get_mut_view().set_zero() @@ -207,6 +219,7 @@ impl<$($qual)*> $crate::instance::Space for $type { type Decomp = <<Self as $crate::euclidean::wrap::Wrapped>::Unwrapped as $crate::instance::Space>::Decomp; + type Principal = Self; } }; }
--- a/src/nalgebra_support.rs Wed Sep 03 21:03:47 2025 -0500 +++ b/src/nalgebra_support.rs Wed Sep 03 21:31:13 2025 -0500 @@ -389,7 +389,7 @@ impl<SM, M, E> Projection<E, Linfinity> for Vector<E, M, SM> where - SM: StorageMut<E, M> + Clone, + SM: StorageMut<E, M>, M: Dim, E: Scalar + Zero + One + Float + RealField, DefaultAllocator: Allocator<M>, @@ -405,7 +405,7 @@ impl<SM, M, E> ProjectionMut<E, Linfinity> for Vector<E, M, SM> where - SM: StorageMut<E, M> + Clone, + SM: StorageMut<E, M>, M: Dim, E: Scalar + Zero + One + Copy + Float + RealField, DefaultAllocator: Allocator<M>, @@ -464,26 +464,25 @@ }) } -// TODO: should allow different input storages in `Euclidean`. - -impl<E, M, S> Euclidean<E> for Vector<E, M, S> +impl<E, M, N, S> Euclidean<E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M>, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { - type PrincipalE = OVector<E, M>; + type PrincipalE = OMatrix<E, M, N>; #[inline] fn dot<I: Instance<Self>>(&self, other: I) -> E { - other.eval_ref(|ref r| Vector::<E, M, S>::dot(self, r)) + other.eval_ref(|ref r| Matrix::<E, M, N, S>::dot(self, r)) } #[inline] fn norm2_squared(&self) -> E { - Vector::<E, M, S>::norm_squared(self) + Matrix::<E, M, N, S>::norm_squared(self) } #[inline] @@ -507,13 +506,14 @@ } /// The default norm for `Vector` is [`L2`]. -impl<E, M, S> Normed<E> for Vector<E, M, S> +impl<E, M, N, S> Normed<E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M>, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { type NormExp = L2; @@ -524,22 +524,24 @@ #[inline] fn is_zero(&self) -> bool { - Vector::<E, M, S>::norm_squared(self) == E::ZERO + Matrix::<E, M, N, S>::norm_squared(self) == E::ZERO } } -impl<E, M, S> HasDual<E> for Vector<E, M, S> +impl<E, M, N, S> HasDual<E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M>, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { - type DualSpace = OVector<E, M>; + type DualSpace = OMatrix<E, M, N>; - fn dual_origin(&self) -> OVector<E, M> { - OVector::zeros_generic(M::from_usize(self.len()), Const) + fn dual_origin(&self) -> OMatrix<E, M, N> { + let (m, n) = self.shape_generic(); + OMatrix::zeros_generic(m, n) } } @@ -560,7 +562,7 @@ impl<E, M, S> Dist<L1, E> for Vector<E, M, S> where M: Dim, - S: Storage<E, M> + Clone, + S: Storage<E, M>, E: Float + Scalar + Zero + One + RealField, DefaultAllocator: Allocator<M>, ShapeConstraint: StridesOk<E, M, U1, S>, @@ -571,13 +573,14 @@ } } -impl<E, M, S> Norm<L2, E> for Vector<E, M, S> +impl<E, M, N, S> Norm<L2, E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M>, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { #[inline] fn norm(&self, _: L2) -> E { @@ -585,13 +588,14 @@ } } -impl<E, M, S> Dist<L2, E> for Vector<E, M, S> +impl<E, M, N, S> Dist<L2, E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M> + Clone, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { #[inline] fn dist<I: Instance<Self>>(&self, other: I, _: L2) -> E { @@ -599,13 +603,14 @@ } } -impl<E, M, S> Norm<Linfinity, E> for Vector<E, M, S> +impl<E, M, N, S> Norm<Linfinity, E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M>, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { #[inline] fn norm(&self, _: Linfinity) -> E { @@ -613,13 +618,14 @@ } } -impl<E, M, S> Dist<Linfinity, E> for Vector<E, M, S> +impl<E, M, N, S> Dist<Linfinity, E> for Matrix<E, M, N, S> where M: Dim, - S: Storage<E, M> + Clone, + N: Dim, + S: Storage<E, M, N>, E: Float + Scalar + Zero + One + RealField, - DefaultAllocator: Allocator<M>, - ShapeConstraint: StridesOk<E, M, U1, S>, + DefaultAllocator: Allocator<M, N>, + ShapeConstraint: StridesOk<E, M, N, S>, { #[inline] fn dist<I: Instance<Self>>(&self, other: I, _: Linfinity) -> E {