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poly_cool/
poly_dyn.rs

1//! Polynomials of dynamic (run-time) degree.
2
3use crate::{Cubic, different_signs, yuksel};
4
5/// A polynomial of dynamic degree.
6///
7/// It would be nice to have polynomials of type-level degree,
8/// but that's a bit awkward without const generic expressions
9/// (e.g. to express the type of the derivative). It could be
10/// done with `typenum` and `generic_array`...
11#[derive(Clone, Debug)]
12pub struct PolyDyn {
13    /// Coefficients in increasing order of degree.
14    ///
15    /// For example, `coeffs[0]` is the constant term.
16    coeffs: Vec<f64>,
17}
18
19impl<'a> std::ops::Mul<&'a PolyDyn> for &'a PolyDyn {
20    type Output = PolyDyn;
21
22    fn mul(self, rhs: &PolyDyn) -> PolyDyn {
23        let mut coeffs = vec![0.0; (self.coeffs.len() + rhs.coeffs.len()).saturating_sub(1)];
24
25        for (i, c) in self.coeffs.iter().enumerate() {
26            for (j, d) in rhs.coeffs.iter().enumerate() {
27                coeffs[i + j] += c * d;
28            }
29        }
30        PolyDyn { coeffs }
31    }
32}
33
34impl std::ops::Mul<&PolyDyn> for PolyDyn {
35    type Output = PolyDyn;
36
37    fn mul(self, rhs: &PolyDyn) -> PolyDyn {
38        (&self) * rhs
39    }
40}
41
42impl PolyDyn {
43    /// Constructs a new polynomial from coefficients.
44    ///
45    /// The first coefficient provided will be the constant term, the second will
46    /// be the linear term, and so on.
47    pub fn new(coeffs: impl IntoIterator<Item = f64>) -> Self {
48        PolyDyn {
49            coeffs: coeffs.into_iter().collect(),
50        }
51    }
52
53    /// The coefficients of this polynomial.
54    ///
55    /// In the returned slice, the coefficient of `x^i` is at index `i`.
56    pub fn coeffs(&self) -> &[f64] {
57        &self.coeffs
58    }
59
60    fn is_finite(&self) -> bool {
61        self.coeffs.iter().all(|c| c.is_finite())
62    }
63
64    /// Returns the polynomial that's the derivative of this polynomial.
65    pub fn deriv(&self) -> PolyDyn {
66        let mut coeffs = Vec::with_capacity(self.coeffs.len() - 1);
67        // If we're empty (meaning that we're the constant zero polynomial),
68        // this will just return the zero polynomial again: no need for a
69        // special case.
70        for (i, c) in self.coeffs.iter().enumerate().skip(1) {
71            coeffs.push(c * (i as f64));
72        }
73        PolyDyn { coeffs }
74    }
75
76    /// Evaluates this polynomial at a point.
77    pub fn eval(&self, x: f64) -> f64 {
78        let mut ret = 0.0;
79        let mut x_pow = 1.0;
80        for &c in &self.coeffs {
81            ret += c * x_pow;
82            x_pow *= x;
83        }
84        ret
85    }
86
87    /// The degree of this polynomial.
88    ///
89    /// This function only looks at the *presence* of coefficients, not their
90    /// value. If you construct a polynomial with three coefficients, this
91    /// method will say that it has degree 2 even if all of those coefficients
92    /// are zero.
93    ///
94    /// A polynomial with no coefficients will give zero as its degree, as will
95    /// a polynomial with one coefficient.
96    pub fn degree(&self) -> usize {
97        self.coeffs.len().saturating_sub(1)
98    }
99
100    /// If this polynomial has degree 3 or less, converts it to a [cubic](crate::Cubic).
101    fn to_cubic(&self) -> Option<Cubic> {
102        if self.degree() <= 3 {
103            Some(Cubic::new([
104                self.coeffs.first().copied().unwrap_or(0.0),
105                self.coeffs.get(1).copied().unwrap_or(0.0),
106                self.coeffs.get(2).copied().unwrap_or(0.0),
107                self.coeffs.get(3).copied().unwrap_or(0.0),
108            ]))
109        } else {
110            None
111        }
112    }
113
114    /// Finds all the roots in an interval, using Yuksel's algorithm.
115    ///
116    /// This is a numerical, iterative method. It first constructs critical
117    /// points to find bracketing intervals (intervals `[x0, x1]` where
118    /// `self.eval(x0)` and `self.eval(x1)` have different signs). Then it uses
119    /// a kind of modified Newton method to find a root on each bracketing
120    /// interval. It has a few limitations:
121    ///
122    /// - if there is only a small interval where the polynomial changes sign,
123    ///   it can miss roots. For example, when two roots are very close together
124    ///   it can miss them both.
125    /// - run time is quadratic in the degree. However, it is often very fast
126    ///   in practice for polynomials of low degree, especially if the interval
127    ///   `[lower, upper]` contains few roots.
128    pub fn roots_between(&self, lower: f64, upper: f64, x_error: f64) -> Vec<f64> {
129        let mut ret = Vec::new();
130        let mut scratch = Vec::new();
131        self.roots_between_with_buffer(lower, upper, x_error, &mut ret, &mut scratch);
132        ret
133    }
134
135    /// Finds all the roots in an interval, using Yuksel's algorithm.
136    ///
137    /// See [`PolyDyn::roots_between`] for more details. This method differs from that
138    /// one in that it performs fewer allocations: you provide an `out` buffer
139    /// for the result and a `scratch` buffer for intermediate computations.
140    pub fn roots_between_with_buffer(
141        &self,
142        lower: f64,
143        upper: f64,
144        x_error: f64,
145        out: &mut Vec<f64>,
146        scratch: &mut Vec<f64>,
147    ) {
148        out.clear();
149        scratch.clear();
150
151        if let Some(c) = self.to_cubic() {
152            out.extend(c.roots_between(lower, upper, x_error));
153            return;
154        }
155
156        let deriv = self.deriv();
157        if !deriv.is_finite() {
158            return;
159        }
160        deriv.roots_between_with_buffer(lower, upper, x_error, scratch, out);
161        scratch.push(upper);
162        out.clear();
163        let mut last = lower;
164        let mut last_val = self.eval(last);
165
166        // `scratch` now contains all the critical points (in increasing order)
167        // and the upper endpoint of the interval. If we throw away all the
168        // critical points that are outside of (lower, upper), the things
169        // remaining in `scratch` are the endpoints of the potential bracketing
170        // intervals of our polynomial. So by filtering out uninteresting
171        // critical points, this loop is iterating over potential bracketing
172        // intervals.
173        for &mut x in scratch {
174            if x > last && x <= upper {
175                let val = self.eval(x);
176                if different_signs(last_val, val) {
177                    out.push(yuksel::find_root(
178                        |x| self.eval(x),
179                        |x| deriv.eval(x),
180                        last,
181                        x,
182                        last_val,
183                        val,
184                        x_error,
185                    ));
186                }
187
188                last = x;
189                last_val = val;
190            }
191        }
192    }
193}
194
195#[cfg(test)]
196mod tests {
197    use super::*;
198
199    #[test]
200    fn smoke() {
201        let x_minus_1 = PolyDyn::new([-1.0, 1.0]);
202        let x_minus_2 = PolyDyn::new([-2.0, 1.0]);
203        let x_minus_3 = PolyDyn::new([-3.0, 1.0]);
204        let x_minus_4 = PolyDyn::new([-4.0, 1.0]);
205
206        let p = &x_minus_1 * &x_minus_2 * &x_minus_3 * &x_minus_4;
207
208        let roots = p.roots_between(0.0, 5.0, 1e-6);
209        assert_eq!(roots.len(), 4);
210        assert!((roots[0] - 1.0).abs() <= 1e-6);
211        assert!((roots[1] - 2.0).abs() <= 1e-6);
212        assert!((roots[2] - 3.0).abs() <= 1e-6);
213        assert!((roots[3] - 4.0).abs() <= 1e-6);
214    }
215}