#polynomial #degree #low-level #evaluating #manipulating #function

nutils-poly

Low-level functions for evaluating and manipulating polynomials

1 stable release

1.0.0 Jan 18, 2023

#1422 in Math

21 downloads per month

MIT license

73KB
1.5K SLoC

Low-level functions for evaluating and manipulating polynomials.

Examples

The vector of coefficients for the polynomial f(x, y) = 3 x y + x^2 is [0, 3, 0, 1, 0, 0].

With eval() we can evaluate this polynomial:

use nutils_poly;

let coeffs = [0, 3, 0, 1, 0, 0];
assert_eq!(nutils_poly::eval(&coeffs, &[1, 0], 2), Ok( 1)); // f(1, 0) =  1
assert_eq!(nutils_poly::eval(&coeffs, &[1, 1], 2), Ok( 4)); // f(1, 1) =  4
assert_eq!(nutils_poly::eval(&coeffs, &[2, 3], 2), Ok(22)); // f(2, 3) = 22

PartialDerivPlan::apply() computes the coefficients for the partial derivative of a polynomial to one of the variables. The partial derivative of f to x, the first variable, is ∂_x f(x, y) = 3 y + 2 x (coefficients: [3, 2, 0]):

use nutils_poly::PartialDerivPlan;

let coeffs = [0, 3, 0, 1, 0, 0];
let pd = PartialDerivPlan::new(
    2, // number of variables
    2, // degree
    0, // variable to compute the partial derivative to
).unwrap();
assert_eq!(Vec::from_iter(pd.apply(coeffs)?), vec![3, 2, 0]);
# Ok::<_, nutils_poly::Error>(())

Further reading

See the crate documentation for a detailed description.

This crate is part of the Nutils project.

Dependencies

~1.5MB
~28K SLoC