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