Crate sparse_complex
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An simple solver for sparse complex linear systems based on Eigen::SparseLU.
Complex Number representation
We use num::Complex
Example
Lets consider the complex linear system bellow:
\begin{bmatrix}
1 - j1 & 0\\
0 & -1 + j1
\end{bmatrix}
\begin{bmatrix}
x_1 \\
x_2
\end{bmatrix}=
\begin{bmatrix}
1 \\
j1
\end{bmatrix}
We can solve this system as follows:
use num::Complex;
use sparse_complex::ComplexMatrix;
let mut m = ComplexMatrix::<f64>::new();
m.add_element(0, 0, Complex { re: 1., im: -1. });
m.add_element(1, 1, Complex { re: -1., im: 1. });
let mut b = vec![Complex::new(1., 0.), Complex::new(0., 1.)];
m.solve(&mut b).unwrap();
let expected = vec![Complex::new(0.5, 0.5), Complex::new(0.5, -0.5)];
assert_eq!(b, expected);
The solution of this system is:
\frac{1}{2}
\begin{bmatrix}
1 + j1 \\
1 - j1
\end{bmatrix}
Version Compatible
The sparse_complex
crate is tested for rustc 1.61 and greater.
Structs
The complex matrix struct