Mon, 12 May 2025 21:56:42 -0500
instance-lifetime-fubar2
/*! Second order polynomical (P2) models on real intervals and planar 2D simplices. */ use super::base::{LocalModel, RealLocalModel}; use crate::euclidean::Euclidean; use crate::instance::Instance; use crate::linsolve::*; use crate::loc::Loc; use crate::sets::Cube; use crate::sets::{NPolygon, Set, SpannedHalfspace}; use crate::types::*; use numeric_literals::replace_float_literals; /// Type for simplices of arbitrary dimension `N`. /// /// The type parameter `D` indicates the number of nodes. (Rust's const generics do not currently /// allow its automatic calculation from `N`.) pub struct Simplex<F: Float, const N: usize, const D: usize>(pub [Loc<N, F>; D]); /// A two-dimensional planar simplex pub type PlanarSimplex<F> = Simplex<F, 2, 3>; /// A real interval pub type RealInterval<F> = Simplex<F, 1, 2>; /// Calculates (a+b)/2 #[inline] #[replace_float_literals(F::cast_from(literal))] pub(crate) fn midpoint<F: Float, const N: usize>(a: &Loc<N, F>, b: &Loc<N, F>) -> Loc<N, F> { (a + b) / 2.0 } impl<'a, F: Float> Set<Loc<1, F>> for RealInterval<F> { #[inline] fn contains<I: Instance<Loc<1, F>>>(&self, z: I) -> bool { z.eval(|&Loc([x])| { let &[Loc([x0]), Loc([x1])] = &self.0; (x0 < x && x < x1) || (x1 < x && x < x0) }) } } impl<'a, F: Float> Set<Loc<2, F>> for PlanarSimplex<F> { #[inline] fn contains<I: Instance<Loc<2, F>>>(&self, z: I) -> bool { let &[x0, x1, x2] = &self.0; NPolygon([ [x0, x1].spanned_halfspace(), [x1, x2].spanned_halfspace(), [x2, x0].spanned_halfspace(), ]) .contains(z) } } trait P2Powers { type Output; type Diff; type Full; fn p2powers(&self) -> Self::Output; fn p2powers_full(&self) -> Self::Full; fn p2powers_diff(&self) -> Self::Diff; } #[replace_float_literals(F::cast_from(literal))] impl<F: Float> P2Powers for Loc<1, F> { type Output = Loc<1, F>; type Full = Loc<3, F>; type Diff = Loc<1, Loc<1, F>>; #[inline] fn p2powers(&self) -> Self::Output { let &Loc([x0]) = self; [x0 * x0].into() } #[inline] fn p2powers_full(&self) -> Self::Full { let &Loc([x0]) = self; [1.0, x0, x0 * x0].into() } #[inline] fn p2powers_diff(&self) -> Self::Diff { let &Loc([x0]) = self; [[x0 + x0].into()].into() } } #[replace_float_literals(F::cast_from(literal))] impl<F: Float> P2Powers for Loc<2, F> { type Output = Loc<3, F>; type Full = Loc<6, F>; type Diff = Loc<2, Loc<3, F>>; #[inline] fn p2powers(&self) -> Self::Output { let &Loc([x0, x1]) = self; [x0 * x0, x0 * x1, x1 * x1].into() } #[inline] fn p2powers_full(&self) -> Self::Full { let &Loc([x0, x1]) = self; [1.0, x0, x1, x0 * x0, x0 * x1, x1 * x1].into() } #[inline] fn p2powers_diff(&self) -> Self::Diff { let &Loc([x0, x1]) = self; [[x0 + x0, x1, 0.0].into(), [0.0, x0, x1 + x1].into()].into() } } /// A trait for generating second order polynomial model of dimension `N` on `Self´. /// /// `Self` should present a subset aset of elements of the type [`Loc`]`<F, N>`. pub trait P2Model<F: Num, const N: usize> { /// Implementation type of the second order polynomical model. /// Typically a [`P2LocalModel`]. type Model: LocalModel<Loc<N, F>, F>; /// Generates a second order polynomial model of the function `g` on `Self`. fn p2_model<G: Fn(&Loc<N, F>) -> F>(&self, g: G) -> Self::Model; } /// A local second order polynomical model of dimension `N` with `E` edges pub struct P2LocalModel< F: Num, const N: usize, const E: usize, /*, const V : usize, const Q : usize*/ > { a0: F, a1: Loc<N, F>, a2: Loc<E, F>, //node_values : Loc<V, F>, //edge_values : Loc<Q, F>, } // // 1D planar model construction // impl<F: Float> RealInterval<F> { #[inline] pub fn midpoints(&self) -> [Loc<1, F>; 1] { let [ref n0, ref n1] = &self.0; let n01 = midpoint(n0, n1); [n01] } } impl<F: Float> P2LocalModel<F, 1, 1 /*, 2, 0*/> { /// Creates a new 1D second order polynomical model based on three nodal coordinates and /// corresponding function values. #[inline] pub fn new(&[n0, n1, n01]: &[Loc<1, F>; 3], &[v0, v1, v01]: &[F; 3]) -> Self { let p = move |x: &Loc<1, F>, v: F| { let Loc([c, d, e]) = x.p2powers_full(); [c, d, e, v] }; let [a0, a1, a11] = linsolve([p(&n0, v0), p(&n1, v1), p(&n01, v01)]); P2LocalModel { a0: a0, a1: [a1].into(), a2: [a11].into(), //node_values : [v0, v1].into(), //edge_values: [].into(), } } } impl<F: Float> P2Model<F, 1> for RealInterval<F> { type Model = P2LocalModel<F, 1, 1 /*, 2, 0*/>; #[inline] fn p2_model<G: Fn(&Loc<1, F>) -> F>(&self, g: G) -> Self::Model { let [n01] = self.midpoints(); let [n0, n1] = self.0; let vals = [g(&n0), g(&n1), g(&n01)]; let nodes = [n0, n1, n01]; Self::Model::new(&nodes, &vals) } } // // 2D planar model construction // impl<F: Float> PlanarSimplex<F> { #[inline] /// Returns the midpoints of all the edges of the simplex pub fn midpoints(&self) -> [Loc<2, F>; 3] { let [ref n0, ref n1, ref n2] = &self.0; let n01 = midpoint(n0, n1); let n12 = midpoint(n1, n2); let n20 = midpoint(n2, n0); [n01, n12, n20] } } impl<F: Float> P2LocalModel<F, 2, 3 /*, 3, 3*/> { /// Creates a new 2D second order polynomical model based on six nodal coordinates and /// corresponding function values. #[inline] pub fn new( &[n0, n1, n2, n01, n12, n20]: &[Loc<2, F>; 6], &[v0, v1, v2, v01, v12, v20]: &[F; 6], ) -> Self { let p = move |x: &Loc<2, F>, v: F| { let Loc([c, d, e, f, g, h]) = x.p2powers_full(); [c, d, e, f, g, h, v] }; let [a0, a1, a2, a11, a12, a22] = linsolve([ p(&n0, v0), p(&n1, v1), p(&n2, v2), p(&n01, v01), p(&n12, v12), p(&n20, v20), ]); P2LocalModel { a0: a0, a1: [a1, a2].into(), a2: [a11, a12, a22].into(), //node_values : [v0, v1, v2].into(), //edge_values: [v01, v12, v20].into(), } } } impl<F: Float> P2Model<F, 2> for PlanarSimplex<F> { type Model = P2LocalModel<F, 2, 3 /*, 3, 3*/>; #[inline] fn p2_model<G: Fn(&Loc<2, F>) -> F>(&self, g: G) -> Self::Model { let midpoints = self.midpoints(); let [ref n0, ref n1, ref n2] = self.0; let [ref n01, ref n12, ref n20] = midpoints; let vals = [g(n0), g(n1), g(n2), g(n01), g(n12), g(n20)]; let nodes = [*n0, *n1, *n2, *n01, *n12, *n20]; Self::Model::new(&nodes, &vals) } } macro_rules! impl_local_model { ($n:literal, $e:literal, $v:literal, $q:literal) => { impl<F: Float> LocalModel<Loc<$n, F>, F> for P2LocalModel<F, $n, /*, $v, $q*/ $e> { #[inline] fn value(&self, x: &Loc<$n, F>) -> F { self.a0 + x.dot(&self.a1) + x.p2powers().dot(&self.a2) } #[inline] fn differential(&self, x: &Loc<$n, F>) -> Loc<$n, F> { self.a1 + x.p2powers_diff().map(|di| di.dot(&self.a2)) } } }; } impl_local_model!(1, 1, 2, 0); impl_local_model!(2, 3, 3, 3); // // Minimisation // #[replace_float_literals(F::cast_from(literal))] impl<F: Float> P2LocalModel<F, 1, 1 /*, 2, 0*/> { /// Minimises the model along the edge `[x0, x1]`. #[inline] fn minimise_edge(&self, x0: Loc<1, F>, x1: Loc<1, F>) -> (Loc<1, F>, F) { let &P2LocalModel { a1: Loc([a1]), a2: Loc([a11]), //node_values : Loc([v0, v1]), .. } = self; // We do this in cases, first trying for an interior solution, then edges. // For interior solution, first check determinant; no point trying if non-positive if a11 > 0.0 { // An interior solution x[1] has to satisfy // 2a₁₁*x[1] + a₁ =0 // This gives let t = -a1 / (2.0 * a11); let (Loc([t0]), Loc([t1])) = (x0, x1); if (t0 <= t && t <= t1) || (t1 <= t && t <= t0) { let x = [t].into(); let v = self.value(&x); return (x, v); } } let v0 = self.value(&x0); let v1 = self.value(&x1); if v0 < v1 { (x0, v0) } else { (x1, v1) } } } impl<'a, F: Float> RealLocalModel<RealInterval<F>, Loc<1, F>, F> for P2LocalModel<F, 1, 1 /*, 2, 0*/> { #[inline] fn minimise(&self, &Simplex([x0, x1]): &RealInterval<F>) -> (Loc<1, F>, F) { self.minimise_edge(x0, x1) } } #[replace_float_literals(F::cast_from(literal))] impl<F: Float> P2LocalModel<F, 2, 3 /*, 3, 3*/> { /// Minimise the 2D model along the edge `[x0, x1] = {x0 + t(x1 - x0) | t ∈ [0, 1] }`. #[inline] fn minimise_edge( &self, x0: &Loc<2, F>, x1: &Loc<2, F>, /*, v0 : F, v1 : F*/ ) -> (Loc<2, F>, F) { let &P2LocalModel { a0, a1: Loc([a1, a2]), a2: Loc([a11, a12, a22]), .. } = self; let &Loc([x00, x01]) = x0; let d @ Loc([d0, d1]) = x1 - x0; let b0 = a0 + a1 * x00 + a2 * x01 + a11 * x00 * x00 + a12 * x00 * x01 + a22 * x01 * x01; let b1 = a1 * d0 + a2 * d1 + 2.0 * a11 * d0 * x00 + a12 * (d0 * x01 + d1 * x00) + 2.0 * a22 * d1 * x01; let b11 = a11 * d0 * d0 + a12 * d0 * d1 + a22 * d1 * d1; let edge_1d_model = P2LocalModel { a0: b0, a1: Loc([b1]), a2: Loc([b11]), //node_values : Loc([v0, v1]), }; let (Loc([t]), v) = edge_1d_model.minimise_edge(0.0.into(), 1.0.into()); (x0 + d * t, v) } } #[replace_float_literals(F::cast_from(literal))] impl<'a, F: Float> RealLocalModel<PlanarSimplex<F>, Loc<2, F>, F> for P2LocalModel<F, 2, 3 /*, 3, 3*/> { #[inline] fn minimise(&self, el: &PlanarSimplex<F>) -> (Loc<2, F>, F) { let &P2LocalModel { a1: Loc([a1, a2]), a2: Loc([a11, a12, a22]), //node_values : Loc([v0, v1, v2]), .. } = self; // We do this in cases, first trying for an interior solution, then edges. // For interior solution, first check determinant; no point trying if non-positive let r = 2.0 * (a11 * a22 - a12 * a12); if r > 0.0 { // An interior solution (x[1], x[2]) has to satisfy // 2a₁₁*x[1] + 2a₁₂*x[2]+a₁ =0 and 2a₂₂*x[1] + 2a₁₂*x[1]+a₂=0 // This gives let x = [(a22 * a1 - a12 * a2) / r, (a12 * a1 - a11 * a2) / r].into(); if el.contains(&x) { return (x, self.value(&x)); } } let &[ref x0, ref x1, ref x2] = &el.0; let mut min_edge = self.minimise_edge(x0, x1); let more_edge = [self.minimise_edge(x1, x2), self.minimise_edge(x2, x0)]; for edge in more_edge { if edge.1 < min_edge.1 { min_edge = edge; } } min_edge } } #[replace_float_literals(F::cast_from(literal))] impl<'a, F: Float> RealLocalModel<Cube<2, F>, Loc<2, F>, F> for P2LocalModel<F, 2, 3 /*, 3, 3*/> { #[inline] fn minimise(&self, el: &Cube<2, F>) -> (Loc<2, F>, F) { let &P2LocalModel { a1: Loc([a1, a2]), a2: Loc([a11, a12, a22]), //node_values : Loc([v0, v1, v2]), .. } = self; // We do this in cases, first trying for an interior solution, then edges. // For interior solution, first check determinant; no point trying if non-positive let r = 2.0 * (a11 * a22 - a12 * a12); if r > 0.0 { // An interior solution (x[1], x[2]) has to satisfy // 2a₁₁*x[1] + 2a₁₂*x[2]+a₁ =0 and 2a₂₂*x[1] + 2a₁₂*x[1]+a₂=0 // This gives let x = [(a22 * a1 - a12 * a2) / r, (a12 * a1 - a11 * a2) / r].into(); if el.contains(&x) { return (x, self.value(&x)); } } let [x0, x1, x2, x3] = el.corners(); let mut min_edge = self.minimise_edge(&x0, &x1); let more_edge = [ self.minimise_edge(&x1, &x2), self.minimise_edge(&x2, &x3), self.minimise_edge(&x3, &x0), ]; for edge in more_edge { if edge.1 < min_edge.1 { min_edge = edge; } } min_edge } } #[cfg(test)] mod tests { use super::*; #[test] fn p2_model_1d_test() { let vertices = [Loc([0.0]), Loc([1.0])]; let domain = Simplex(vertices); // A simple quadratic function for which the approximation is exact on reals, // and appears exact on f64 as well. let f = |&Loc([x]): &Loc<1, f64>| x * x + x + 1.0; let model = domain.p2_model(f); let xs = [Loc([0.5]), Loc([0.25])]; for x in vertices.iter().chain(xs.iter()) { assert_eq!(model.value(&x), f(&x)); } assert_eq!(model.minimise(&domain), (Loc([0.0]), 1.0)); } #[test] fn p2_model_2d_test() { let vertices = [Loc([0.0, 0.0]), Loc([1.0, 0.0]), Loc([1.0, 1.0])]; let domain = Simplex(vertices); // A simple quadratic function for which the approximation is exact on reals, // and appears exact on f64 as well. let f = |&Loc([x, y]): &Loc<2, f64>| -(x * x + x * y + x - 2.0 * y + 1.0); let model = domain.p2_model(f); let xs = [Loc([0.5, 0.5]), Loc([0.25, 0.25])]; for x in vertices.iter().chain(xs.iter()) { assert_eq!(model.value(&x), f(&x)); } assert_eq!(model.minimise(&domain), (Loc([1.0, 0.0]), -3.0)); } }