opensrdk-linear-algebra 0.7.0

Standard linear algebra library using blas and lapack for OpenSRDK toolchain.
Documentation 
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use super::SparseMatrix;
use crate::{matrix::Matrix, number::Number};
use std::ops::Mul;

fn mul<T>(slf: &Matrix<T>, rhs: &SparseMatrix<T>) -> Matrix<T>
where
  T: Number,
{
  if slf.cols != rhs.rows {
    panic!("Dimension mismatch.");
  }
  let mut new_matrix = Matrix::new(slf.rows, rhs.cols);

  for i in 0..slf.rows() {
    for (&(j, k), &r) in rhs.elems.iter() {
      new_matrix[i][k] += slf[i][j] * r;
    }
  }

  new_matrix
}
impl<T> Mul<SparseMatrix<T>> for Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn mul(self, rhs: SparseMatrix<T>) -> Self::Output {
    mul(&self, &rhs)
  }
}

impl<T> Mul<&SparseMatrix<T>> for Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn mul(self, rhs: &SparseMatrix<T>) -> Self::Output {
    mul(&self, rhs)
  }
}

impl<T> Mul<SparseMatrix<T>> for &Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn mul(self, rhs: SparseMatrix<T>) -> Self::Output {
    mul(self, &rhs)
  }
}

impl<T> Mul<&SparseMatrix<T>> for &Matrix<T>
where
  T: Number,
{
  type Output = Matrix<T>;

  fn mul(self, rhs: &SparseMatrix<T>) -> Self::Output {
    mul(self, rhs)
  }
}

#[cfg(test)]
mod tests {
  use crate::*;
  #[test]
  fn it_works() {
    let a = mat![
        1.0, 2.0;
        3.0, 4.0
    ];
    let b = SparseMatrix::from(
      2,
      2,
      vec![
        ((0usize, 0usize), 1.0),
        ((0usize, 1usize), 2.0),
        ((1usize, 1usize), 2.0),
      ]
      .into_iter()
      .collect(),
    );
    let ab = a * b;

    assert_eq!(ab[0][0], 1.0);
    assert_eq!(ab[0][1], 6.0);
    assert_eq!(ab[1][1], 14.0);
  }
}