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matrix.rs
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use crate::layout::*;
use cauchy::*;
use std::ops::{Index, IndexMut};
/// Represents a tridiagonal matrix as 3 one-dimensional vectors.
///
/// ```text
/// [ d[0], du[0], 0 , ..., 0,
/// dl[0], d[1], du[1], ...,
/// 0 , dl[1], d[2],
/// ... ..., du[n-2],
/// 0 , ..., ..., dl[n-2], d[n-1]]
/// ```
#[derive(Clone, PartialEq, Eq)]
pub struct Tridiagonal<A: Scalar> {
/// layout of raw matrix
pub l: MatrixLayout,
/// (n-1) sub-diagonal elements of matrix.
pub dl: Vec<A>,
/// (n) diagonal elements of matrix.
pub d: Vec<A>,
/// (n-1) super-diagonal elements of matrix.
pub du: Vec<A>,
}
impl<A: Scalar> Index<(i32, i32)> for Tridiagonal<A> {
type Output = A;
#[inline]
fn index(&self, (row, col): (i32, i32)) -> &A {
let (n, _) = self.l.size();
assert!(
std::cmp::max(row, col) < n,
"ndarray: index {:?} is out of bounds for array of shape {}",
[row, col],
n
);
match row - col {
0 => &self.d[row as usize],
1 => &self.dl[col as usize],
-1 => &self.du[row as usize],
_ => panic!(
"ndarray-linalg::tridiagonal: index {:?} is not tridiagonal element",
[row, col]
),
}
}
}
impl<A: Scalar> Index<[i32; 2]> for Tridiagonal<A> {
type Output = A;
#[inline]
fn index(&self, [row, col]: [i32; 2]) -> &A {
&self[(row, col)]
}
}
impl<A: Scalar> IndexMut<(i32, i32)> for Tridiagonal<A> {
#[inline]
fn index_mut(&mut self, (row, col): (i32, i32)) -> &mut A {
let (n, _) = self.l.size();
assert!(
std::cmp::max(row, col) < n,
"ndarray: index {:?} is out of bounds for array of shape {}",
[row, col],
n
);
match row - col {
0 => &mut self.d[row as usize],
1 => &mut self.dl[col as usize],
-1 => &mut self.du[row as usize],
_ => panic!(
"ndarray-linalg::tridiagonal: index {:?} is not tridiagonal element",
[row, col]
),
}
}
}
impl<A: Scalar> IndexMut<[i32; 2]> for Tridiagonal<A> {
#[inline]
fn index_mut(&mut self, [row, col]: [i32; 2]) -> &mut A {
&mut self[(row, col)]
}
}