src/kernels/hat.rs

Tue, 06 Dec 2022 15:02:49 +0200

author
Tuomo Valkonen <tuomov@iki.fi>
date
Tue, 06 Dec 2022 15:02:49 +0200
changeset 12
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parent 0
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Oops, some μ were x in the README.

0
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1 //! Implementation of the hat function
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2
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3 use numeric_literals::replace_float_literals;
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4 use serde::Serialize;
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5 use alg_tools::types::*;
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6 use alg_tools::norms::*;
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7 use alg_tools::loc::Loc;
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8 use alg_tools::sets::Cube;
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9 use alg_tools::bisection_tree::{
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10 Support,
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11 Constant,
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12 Bounds,
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13 LocalAnalysis,
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14 GlobalAnalysis,
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15 Bounded,
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16 };
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17 use alg_tools::mapping::Apply;
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18 use alg_tools::maputil::{array_init};
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19
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20 /// Representation of the hat function $f(x)=1-\\|x\\|\_1/ε$ of `width` $ε$ on $ℝ^N$.
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21 #[derive(Copy,Clone,Serialize,Debug,Eq,PartialEq)]
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22 pub struct Hat<C : Constant, const N : usize> {
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23 /// The parameter $ε>0$.
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24 pub width : C,
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25 }
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26
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27 #[replace_float_literals(C::Type::cast_from(literal))]
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28 impl<'a, C : Constant, const N : usize> Apply<&'a Loc<C::Type, N>> for Hat<C, N> {
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29 type Output = C::Type;
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30 #[inline]
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31 fn apply(&self, x : &'a Loc<C::Type, N>) -> Self::Output {
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32 let ε = self.width.value();
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33 0.0.max(1.0-x.norm(L1)/ε)
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34 }
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35 }
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36
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37 #[replace_float_literals(C::Type::cast_from(literal))]
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38 impl<C : Constant, const N : usize> Apply<Loc<C::Type, N>> for Hat<C, N> {
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39 type Output = C::Type;
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40 #[inline]
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41 fn apply(&self, x : Loc<C::Type, N>) -> Self::Output {
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42 self.apply(&x)
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43 }
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44 }
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45
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46
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47 #[replace_float_literals(C::Type::cast_from(literal))]
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48 impl<'a, C : Constant, const N : usize> Support<C::Type, N> for Hat<C, N> {
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49 #[inline]
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50 fn support_hint(&self) -> Cube<C::Type,N> {
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51 let ε = self.width.value();
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52 array_init(|| [-ε, ε]).into()
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53 }
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54
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55 #[inline]
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56 fn in_support(&self, x : &Loc<C::Type,N>) -> bool {
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57 x.norm(L1) < self.width.value()
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58 }
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59
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60 /*fn fully_in_support(&self, _cube : &Cube<C::Type,N>) -> bool {
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61 todo!("Not implemented, but not used at the moment")
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62 }*/
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63
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64 #[inline]
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65 fn bisection_hint(&self, cube : &Cube<C::Type,N>) -> [Option<C::Type>; N] {
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66 let ε = self.width.value();
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67 cube.map(|a, b| {
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68 if a < 1.0 {
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69 if 1.0 < b {
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70 Some(1.0)
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71 } else {
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72 if a < -ε {
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73 if b > -ε { Some(-ε) } else { None }
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74 } else {
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75 None
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76 }
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77 }
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78 } else {
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79 if b > ε { Some(ε) } else { None }
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80 }
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81 });
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82 todo!("also diagonals")
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83 }
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84 }
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85
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86
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87 #[replace_float_literals(C::Type::cast_from(literal))]
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88 impl<'a, C : Constant, const N : usize>
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89 GlobalAnalysis<C::Type, Bounds<C::Type>>
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90 for Hat<C, N> {
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91 #[inline]
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92 fn global_analysis(&self) -> Bounds<C::Type> {
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93 Bounds(0.0, 1.0)
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94 }
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95 }
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96
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97 impl<'a, C : Constant, const N : usize>
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98 LocalAnalysis<C::Type, Bounds<C::Type>, N>
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99 for Hat<C, N> {
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100 #[inline]
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101 fn local_analysis(&self, cube : &Cube<C::Type, N>) -> Bounds<C::Type> {
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102 // The function is maximised/minimised where the 1-norm is minimised/maximised.
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103 let lower = self.apply(cube.maxnorm_point());
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104 let upper = self.apply(cube.minnorm_point());
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105 Bounds(lower, upper)
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106 }
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107 }
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108
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109 #[replace_float_literals(C::Type::cast_from(literal))]
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110 impl<'a, C : Constant, const N : usize>
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111 Norm<C::Type, Linfinity>
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112 for Hat<C, N> {
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113 #[inline]
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114 fn norm(&self, _ : Linfinity) -> C::Type {
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115 self.bounds().upper()
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116 }
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117 }
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118

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