[][src]Struct rustnomial::LinearBinomial

pub struct LinearBinomial<N> {
    pub coefficients: [N; 2],
}

Fields

coefficients: [N; 2]

Implementations

impl<N: Sized> LinearBinomial<N>[src]

pub fn new(coefficients: [N; 2]) -> LinearBinomial<N>[src]

Create a LinearBinomial with the given terms.

Example

use rustnomial::{SizedPolynomial, LinearBinomial, Degree};
let binomial = LinearBinomial::new([3, 2]);
assert_eq!(Degree::Num(1), binomial.degree());

impl<N> LinearBinomial<N> where
    N: Copy + Neg<Output = N> + Div<Output = N> + Zero
[src]

pub fn root(&self) -> Roots<N>[src]

Return the root of LinearBinomial.

Example

use rustnomial::{LinearBinomial, Roots, SizedPolynomial};
let binomial = LinearBinomial::new([1.0, 2.0]);
assert_eq!(Roots::OneRealRoot(-2.0), binomial.root());
let zero = LinearBinomial::<i32>::zero();
assert_eq!(Roots::InfiniteRoots, zero.root());
let constant = LinearBinomial::new([0, 1]);
assert_eq!(Roots::NoRoots, constant.root());

Trait Implementations

impl<N> Add<LinearBinomial<N>> for LinearBinomial<N> where
    N: Add<Output = N> + Copy
[src]

type Output = LinearBinomial<N>

The resulting type after applying the + operator.

impl<N: Copy + AddAssign> AddAssign<LinearBinomial<N>> for LinearBinomial<N>[src]

impl<N: Clone> Clone for LinearBinomial<N>[src]

impl<N: Debug> Debug for LinearBinomial<N>[src]

impl<N> Derivable<N> for LinearBinomial<N> where
    N: Zero + One + Copy + Mul<Output = N> + TryFromUsizeExact, 
[src]

pub fn derivative(&self) -> LinearBinomial<N>[src]

Returns the derivative of the LinearBinomial.

Example

use rustnomial::{LinearBinomial, Derivable};
let binomial = LinearBinomial::new([3.0, 1.0]);
assert_eq!(LinearBinomial::new([0., 3.0]), binomial.derivative());

impl<N> Display for LinearBinomial<N> where
    N: Zero + One + IsPositive + PartialEq + Abs + Copy + IsNegativeOne + Display
[src]

impl<N: Div<Output = N> + Copy> Div<N> for LinearBinomial<N>[src]

type Output = LinearBinomial<N>

The resulting type after applying the / operator.

impl<N: DivAssign + Copy> DivAssign<N> for LinearBinomial<N>[src]

impl<N> Evaluable<N> for LinearBinomial<N> where
    N: Add<Output = N> + Mul<Output = N> + Copy
[src]

pub fn eval(&self, point: N) -> N[src]

Returns the value of the LinearBinomial at the given point.

Example

use rustnomial::{LinearBinomial, Evaluable};
let binomial = LinearBinomial::new([1, 2]);
assert_eq!(7, binomial.eval(5));
assert_eq!(2, binomial.eval(0));

impl From<LinearBinomial<f32>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<i16>> for LinearBinomial<i32>[src]

impl From<LinearBinomial<i16>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<i16>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<i16>> for LinearBinomial<f32>[src]

impl From<LinearBinomial<i16>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<i32>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<i32>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<i32>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<i64>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<i16>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<i32>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<f32>[src]

impl From<LinearBinomial<i8>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<u32>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<u64>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<u128>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<i32>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<f32>[src]

impl From<LinearBinomial<u16>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<u32>> for LinearBinomial<u64>[src]

impl From<LinearBinomial<u32>> for LinearBinomial<u128>[src]

impl From<LinearBinomial<u32>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<u32>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<u32>> for LinearBinomial<f64>[src]

impl From<LinearBinomial<u64>> for LinearBinomial<u128>[src]

impl From<LinearBinomial<u64>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<u16>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<u32>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<u64>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<u128>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<i16>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<i32>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<i64>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<i128>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<f32>[src]

impl From<LinearBinomial<u8>> for LinearBinomial<f64>[src]

impl<N> FromStr for LinearBinomial<N> where
    N: Zero + One + Copy + SubAssign + AddAssign + FromStr + CanNegate, 
[src]

type Err = PolynomialFromStringError

The associated error which can be returned from parsing.

impl<N> Integrable<N, Polynomial<N>> for LinearBinomial<N> where
    N: Zero + Copy + DivAssign + Mul<Output = N> + MulAssign + AddAssign + Div<Output = N> + TryFromUsizeContinuous, 
[src]

pub fn integral(&self) -> Integral<N, Polynomial<N>>[src]

Returns the integral of the LinearBinomial.

Example

use rustnomial::{LinearBinomial, Integrable, Polynomial};
let binomial = LinearBinomial::new([2.0, 0.]);
let integral = binomial.integral();
assert_eq!(&Polynomial::new(vec![1.0, 0.0, 0.0]), integral.inner());

Will panic if N can not losslessly represent 2usize.

impl<N: Mul<Output = N> + Copy> Mul<N> for LinearBinomial<N>[src]

type Output = LinearBinomial<N>

The resulting type after applying the * operator.

impl<N: MulAssign + Copy> MulAssign<N> for LinearBinomial<N>[src]

impl<N> MutablePolynomial<N> for LinearBinomial<N> where
    N: Zero + SubAssign + AddAssign + Copy
[src]

impl<N: Copy + Neg<Output = N>> Neg for LinearBinomial<N>[src]

type Output = LinearBinomial<N>

The resulting type after applying the - operator.

impl<N> PartialEq<LinearBinomial<N>> for LinearBinomial<N> where
    N: Zero + PartialEq + Copy
[src]

pub fn eq(&self, other: &Self) -> bool[src]

Returns true if this LinearBinomial and other are equal.

impl<N: Zero + Copy> Shr<u32> for LinearBinomial<N>[src]

type Output = LinearBinomial<N>

The resulting type after applying the >> operator.

impl<N: Zero + Copy> ShrAssign<u32> for LinearBinomial<N>[src]

impl<N: Copy + Zero> SizedPolynomial<N> for LinearBinomial<N>[src]

pub fn len(&self) -> usize[src]

Return the length of LinearBinomial. Not equal to the number of terms.

Example

use rustnomial::{LinearBinomial, SizedPolynomial};
let binomial = LinearBinomial::new([3.0, 2.0]);
assert_eq!(2, binomial.len());
assert_eq!(0, LinearBinomial::<i32>::zero().len());

pub fn term_with_degree(&self, degree: usize) -> Term<N>[src]

Returns the term with the given degree of the LinearBinomial.

Example

use rustnomial::{LinearBinomial, SizedPolynomial, Term};
let binomial = LinearBinomial::new([5, 0]);
assert_eq!(Term::Term(5, 1), binomial.term_with_degree(1));
assert_eq!(Term::ZeroTerm, binomial.term_with_degree(0));

pub fn degree(&self) -> Degree[src]

Returns the degree of the LinearBinomial.

Example

use rustnomial::{SizedPolynomial, LinearBinomial, Degree};
let binomial = LinearBinomial::new([3.0, 2.0]);
assert_eq!(Degree::Num(1), binomial.degree());
let monomial = LinearBinomial::new([0.0, 1.0]);
assert_eq!(Degree::Num(0), monomial.degree());
let zero = LinearBinomial::<i32>::zero();
assert_eq!(Degree::NegInf, zero.degree());

pub fn zero() -> Self[src]

Returns a LinearBinomial with no terms.

Example

use rustnomial::{SizedPolynomial, LinearBinomial};
let zero = LinearBinomial::<i32>::zero();
assert!(zero.is_zero());
assert!(zero.term_iter().next().is_none());

pub fn set_to_zero(&mut self)[src]

Sets self to zero.

Example

use rustnomial::{SizedPolynomial, LinearBinomial};
let mut non_zero = LinearBinomial::new([1, 1]);
assert!(!non_zero.is_zero());
non_zero.set_to_zero();
assert!(non_zero.is_zero());

impl<N> Sub<LinearBinomial<N>> for LinearBinomial<N> where
    N: Copy + Sub<Output = N>, 
[src]

type Output = LinearBinomial<N>

The resulting type after applying the - operator.

impl<N> SubAssign<LinearBinomial<N>> for LinearBinomial<N> where
    N: SubAssign + Copy
[src]

Auto Trait Implementations

impl<N> RefUnwindSafe for LinearBinomial<N> where
    N: RefUnwindSafe
[src]

impl<N> Send for LinearBinomial<N> where
    N: Send
[src]

impl<N> Sync for LinearBinomial<N> where
    N: Sync
[src]

impl<N> Unpin for LinearBinomial<N> where
    N: Unpin
[src]

impl<N> UnwindSafe for LinearBinomial<N> where
    N: UnwindSafe
[src]

Blanket Implementations

impl<T> Any for T where
    T: 'static + ?Sized
[src]

impl<T> Borrow<T> for T where
    T: ?Sized
[src]

impl<T> BorrowMut<T> for T where
    T: ?Sized
[src]

impl<T> From<T> for T[src]

impl<T, U> Into<U> for T where
    U: From<T>, 
[src]

impl<T> ToOwned for T where
    T: Clone
[src]

type Owned = T

The resulting type after obtaining ownership.

impl<T> ToString for T where
    T: Display + ?Sized
[src]

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.