1 stable release
1.0.0 | Jan 18, 2023 |
---|
#983 in Math
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