--- a/src/euclidean.rs Mon May 12 16:28:50 2025 -0500 +++ b/src/euclidean.rs Mon May 12 17:10:39 2025 -0500 @@ -3,7 +3,8 @@ */ use crate::instance::Instance; -use crate::norms::{HasDual, Reflexive}; +use crate::linops::AXPY; +use crate::norms::{HasDual, NormExponent, Normed, Reflexive, L2}; use crate::types::*; use std::ops::{Add, AddAssign, Div, DivAssign, Mul, MulAssign, Neg, Sub, SubAssign}; @@ -12,66 +13,68 @@ /// The type should implement vector space operations (addition, subtraction, scalar /// multiplication and scalar division) along with their assignment versions, as well /// as an inner product. -pub trait Euclidean<F: Float = f64>: - HasDual<F, DualSpace = Self> - + Reflexive<F> - + Mul<F, Output = <Self as Euclidean<F>>::Output> - + MulAssign<F> - + Div<F, Output = <Self as Euclidean<F>>::Output> - + DivAssign<F> - + Add<Self, Output = <Self as Euclidean<F>>::Output> - + Sub<Self, Output = <Self as Euclidean<F>>::Output> - + for<'b> Add<&'b Self, Output = <Self as Euclidean<F>>::Output> - + for<'b> Sub<&'b Self, Output = <Self as Euclidean<F>>::Output> +pub trait Euclidean: + AXPY<Owned = Self::Owned_> + + HasDual<Self::Field, DualSpace = Self> + //+ Normed<Self::Field, NormExp = L2> + + Reflexive<Self::Field> + + Mul<Self::Field, Output = <Self as AXPY>::Owned> + + MulAssign<Self::Field> + + Div<Self::Field, Output = <Self as AXPY>::Owned> + + DivAssign<Self::Field> + + Add<Self, Output = <Self as AXPY>::Owned> + + Sub<Self, Output = <Self as AXPY>::Owned> + + for<'b> Add<&'b Self, Output = <Self as AXPY>::Owned> + + for<'b> Sub<&'b Self, Output = <Self as AXPY>::Owned> + AddAssign<Self> + for<'b> AddAssign<&'b Self> + SubAssign<Self> + for<'b> SubAssign<&'b Self> - + Neg<Output = <Self as Euclidean<F>>::Output> + + Neg<Output = <Self as AXPY>::Owned> { - type Output: Euclidean<F>; + type Owned_: Euclidean<Field = Self::Field>; // Inner product - fn dot<I: Instance<Self>>(&self, other: I) -> F; + fn dot<I: Instance<Self>>(&self, other: I) -> Self::Field; /// Calculate the square of the 2-norm, $\frac{1}{2}\\|x\\|_2^2$, where `self` is $x$. /// /// This is not automatically implemented to avoid imposing /// `for <'a> &'a Self : Instance<Self>` trait bound bloat. - fn norm2_squared(&self) -> F; + fn norm2_squared(&self) -> Self::Field; /// Calculate the square of the 2-norm divided by 2, $\frac{1}{2}\\|x\\|_2^2$, /// where `self` is $x$. #[inline] - fn norm2_squared_div2(&self) -> F { - self.norm2_squared() / F::TWO + fn norm2_squared_div2(&self) -> Self::Field { + self.norm2_squared() / Self::Field::TWO } /// Calculate the 2-norm $‖x‖_2$, where `self` is $x$. #[inline] - fn norm2(&self) -> F { + fn norm2(&self) -> Self::Field { self.norm2_squared().sqrt() } /// Calculate the 2-distance squared $\\|x-y\\|_2^2$, where `self` is $x$. - fn dist2_squared<I: Instance<Self>>(&self, y: I) -> F; + fn dist2_squared<I: Instance<Self>>(&self, y: I) -> Self::Field; /// Calculate the 2-distance $\\|x-y\\|_2$, where `self` is $x$. #[inline] - fn dist2<I: Instance<Self>>(&self, y: I) -> F { + fn dist2<I: Instance<Self>>(&self, y: I) -> Self::Field { self.dist2_squared(y).sqrt() } /// Projection to the 2-ball. #[inline] - fn proj_ball2(mut self, ρ: F) -> Self { + fn proj_ball2(mut self, ρ: Self::Field) -> Self { self.proj_ball2_mut(ρ); self } /// In-place projection to the 2-ball. #[inline] - fn proj_ball2_mut(&mut self, ρ: F) { + fn proj_ball2_mut(&mut self, ρ: Self::Field) { let r = self.norm2(); if r > ρ { *self *= ρ / r @@ -80,7 +83,7 @@ } /// Trait for [`Euclidean`] spaces with dimensions known at compile time. -pub trait StaticEuclidean<F: Float = f64>: Euclidean<F> { +pub trait StaticEuclidean: Euclidean { /// Returns the origin - fn origin() -> <Self as Euclidean<F>>::Output; + fn origin() -> <Self as AXPY>::Owned; }