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new: Added mul_scalar method
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2 changed files with 49 additions and 27 deletions
28
src/lib.rs
28
src/lib.rs
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@ -357,6 +357,25 @@ impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy> Matri
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out
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}
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/// Multiplies all entries of a matrix by a scalar.
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/// Note that it modifies the supplied matrix.
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/// # Example
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/// ```
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/// use matrix_basic::Matrix;
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/// let mut m = Matrix::from(vec![vec![1, 2, 0], vec![0, 2, 5], vec![0, 0, 3]]).unwrap();
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/// let n = Matrix::from(vec![vec![2, 4, 0], vec![0, 4, 10], vec![0, 0, 6]]).unwrap();
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/// m.mul_scalar(2);
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///
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/// assert_eq!(m, n);
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/// ```
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pub fn mul_scalar(&mut self, scalar: T) {
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for row in &mut self.entries {
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for entry in row {
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*entry = *entry * scalar;
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}
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}
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}
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// TODO: Canonical forms, eigenvalues, eigenvectors etc.
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}
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@ -368,7 +387,7 @@ impl<T: Debug + Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Cop
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}
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}
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impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Copy + Zero> Mul
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impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Zero> Mul
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for Matrix<T>
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{
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// TODO: Implement a faster algorithm.
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@ -395,7 +414,7 @@ impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Copy
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}
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}
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impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Copy + Zero> Add
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impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Zero> Add
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for Matrix<T>
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{
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type Output = Self;
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@ -414,9 +433,8 @@ impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Copy
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}
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}
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impl<
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T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Copy + Neg<Output = T>,
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> Neg for Matrix<T>
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impl<T: Mul<Output = T> + Add<Output = T> + Sub<Output = T> + Zero + Copy + Neg<Output = T>> Neg
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for Matrix<T>
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{
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type Output = Self;
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fn neg(self) -> Self::Output {
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@ -5,9 +5,13 @@ use crate::Matrix;
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fn mul_test() {
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let a = Matrix::from(vec![vec![1, 2, 4], vec![3, 4, 9]]).unwrap();
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let b = Matrix::from(vec![vec![1, 2], vec![2, 3], vec![5, 1]]).unwrap();
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let c = Matrix::from(vec![vec![25, 12], vec![56, 27]]).unwrap();
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let mut c = Matrix::from(vec![vec![25, 12], vec![56, 27]]).unwrap();
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let d = Matrix::from(vec![vec![75, 36], vec![168, 81]]).unwrap();
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assert_eq!(a * b, c);
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c.mul_scalar(3);
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assert_eq!(c, d);
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}
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#[test]
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