mathru 0.16.2

Fundamental algorithms for scientific computing in Rust
Documentation 
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use crate::algebra::{
    abstr::{Field, Scalar},
    linear::vector::Vector,
};
use std::ops::Div;

impl<T> Div<T> for Vector<T>
where
    T: Field + Scalar,
{
    type Output = Vector<T>;

    /// Divides the vector elements with scalar values
    ///
    /// # Example
    ///
    /// ```
    /// use mathru::algebra::linear::vector::Vector;
    ///
    /// let a: Vector<f64> = Vector::new_column(vec![-5.0, -10.0, -15.0, -20.0]);
    /// let res_ref: Vector<f64> = Vector::new_column(vec![1.0, 2.0, 3.0, 4.0]);
    ///
    /// assert_eq!(res_ref, a / -5.0)
    /// ```
    fn div(self, rhs: T) -> Self::Output {
        Vector {
            data: &self.data / (&rhs),
        }
    }
}

impl<T> Div<&T> for &Vector<T>
where
    T: Field + Scalar,
{
    type Output = Vector<T>;

    /// Divides the elements of a vector with the scalar value
    ///
    /// # Example
    ///
    /// ```
    /// use mathru::algebra::linear::vector::Vector;
    ///
    /// let a: Vector<f64> = Vector::new_column(vec![5.0, 10.0, 15.0, 20.0]);
    /// let res_ref: Vector<f64> = Vector::new_column(vec![1.0, 2.0, 3.0, 4.0]);
    ///
    /// assert_eq!(res_ref, a / 5.0)
    /// ```
    fn div(self, rhs: &T) -> Self::Output {
        Vector {
            data: (&self.data).div(rhs),
        }
    }
}