M-Labs/nalgebra
3
0
Fork 1
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Add another case for when eigenvalues should be mapped to zero. Make method private

Browse Source
This commit is contained in:
metric-space 2022-02-15 01:45:33 -05:00
parent e52f11700f
commit 5e10ca46cb
1 changed files with 9 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

14
nalgebra-lapack/src/generalized_eigenvalues.rs
View File

@ -253,17 +253,21 @@ where
(l, r)
}
/// computes the generalized eigenvalues i.e values of lambda that satisfy the following equation
/// determinant(A - lambda* B) = 0
#[must_use]
pub fn eigenvalues(&self) -> OVector<Complex<T>, D>
// only used for internal calculation for assembling eigenvectors based on realness of
// eigenvalues and complex-conjugate checks of subsequent non-real eigenvalues
fn eigenvalues(&self) -> OVector<Complex<T>, D>
where
DefaultAllocator: Allocator<Complex<T>, D>,
{
let mut out = Matrix::zeros_generic(self.vsl.shape_generic().0, Const::<1>);
let epsilon = T::RealField::default_epsilon();
for i in 0..out.len() {
out[i] = if self.beta[i].clone().abs() < T::RealField::default_epsilon() {
out[i] = if self.beta[i].clone().abs() < epsilon
|| (self.alphai[i].clone().abs() < epsilon
&& self.alphar[i].clone().abs() < epsilon)
{
Complex::zero()
} else {
Complex::new(self.alphar[i].clone(), self.alphai[i].clone())