Sun, 11 Dec 2022 23:19:17 +0200
Print out experiment information when running it
//! Implementation of the hat function use numeric_literals::replace_float_literals; use serde::Serialize; use alg_tools::types::*; use alg_tools::norms::*; use alg_tools::loc::Loc; use alg_tools::sets::Cube; use alg_tools::bisection_tree::{ Support, Constant, Bounds, LocalAnalysis, GlobalAnalysis, Bounded, }; use alg_tools::mapping::Apply; use alg_tools::maputil::{array_init}; /// Representation of the hat function $f(x)=1-\\|x\\|\_1/ε$ of `width` $ε$ on $ℝ^N$. #[derive(Copy,Clone,Serialize,Debug,Eq,PartialEq)] pub struct Hat<C : Constant, const N : usize> { /// The parameter $ε>0$. pub width : C, } #[replace_float_literals(C::Type::cast_from(literal))] impl<'a, C : Constant, const N : usize> Apply<&'a Loc<C::Type, N>> for Hat<C, N> { type Output = C::Type; #[inline] fn apply(&self, x : &'a Loc<C::Type, N>) -> Self::Output { let ε = self.width.value(); 0.0.max(1.0-x.norm(L1)/ε) } } #[replace_float_literals(C::Type::cast_from(literal))] impl<C : Constant, const N : usize> Apply<Loc<C::Type, N>> for Hat<C, N> { type Output = C::Type; #[inline] fn apply(&self, x : Loc<C::Type, N>) -> Self::Output { self.apply(&x) } } #[replace_float_literals(C::Type::cast_from(literal))] impl<'a, C : Constant, const N : usize> Support<C::Type, N> for Hat<C, N> { #[inline] fn support_hint(&self) -> Cube<C::Type,N> { let ε = self.width.value(); array_init(|| [-ε, ε]).into() } #[inline] fn in_support(&self, x : &Loc<C::Type,N>) -> bool { x.norm(L1) < self.width.value() } /*fn fully_in_support(&self, _cube : &Cube<C::Type,N>) -> bool { todo!("Not implemented, but not used at the moment") }*/ #[inline] fn bisection_hint(&self, cube : &Cube<C::Type,N>) -> [Option<C::Type>; N] { let ε = self.width.value(); cube.map(|a, b| { if a < 1.0 { if 1.0 < b { Some(1.0) } else { if a < -ε { if b > -ε { Some(-ε) } else { None } } else { None } } } else { if b > ε { Some(ε) } else { None } } }); todo!("also diagonals") } } #[replace_float_literals(C::Type::cast_from(literal))] impl<'a, C : Constant, const N : usize> GlobalAnalysis<C::Type, Bounds<C::Type>> for Hat<C, N> { #[inline] fn global_analysis(&self) -> Bounds<C::Type> { Bounds(0.0, 1.0) } } impl<'a, C : Constant, const N : usize> LocalAnalysis<C::Type, Bounds<C::Type>, N> for Hat<C, N> { #[inline] fn local_analysis(&self, cube : &Cube<C::Type, N>) -> Bounds<C::Type> { // The function is maximised/minimised where the 1-norm is minimised/maximised. let lower = self.apply(cube.maxnorm_point()); let upper = self.apply(cube.minnorm_point()); Bounds(lower, upper) } } #[replace_float_literals(C::Type::cast_from(literal))] impl<'a, C : Constant, const N : usize> Norm<C::Type, Linfinity> for Hat<C, N> { #[inline] fn norm(&self, _ : Linfinity) -> C::Type { self.bounds().upper() } }