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@ -38,11 +38,11 @@ where
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{
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alphar: OVector<T, D>,
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alphai: OVector<T, D>,
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beta: OVector<T,D>,
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vsl: OMatrix<T, D, D>,
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s: OMatrix<T, D, D>,
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vsr: OMatrix<T, D, D>,
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t: OMatrix<T, D, D>
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beta: OVector<T, D>,
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vsl: OMatrix<T, D, D>,
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s: OMatrix<T, D, D>,
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vsr: OMatrix<T, D, D>,
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t: OMatrix<T, D, D>,
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}
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impl<T: Scalar + Copy, D: Dim> Copy for QZ<T, D>
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@ -61,7 +61,7 @@ where
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///
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/// Panics if the method did not converge.
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pub fn new(a: OMatrix<T, D, D>, b: OMatrix<T, D, D>) -> Self {
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Self::try_new(a,b).expect("Schur decomposition: convergence failed.")
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Self::try_new(a, b).expect("Schur decomposition: convergence failed.")
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}
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/// Computes the eigenvalues and real Schur form of the matrix `m`.
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@ -85,9 +85,9 @@ where
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let mut alphar = Matrix::zeros_generic(nrows, Const::<1>);
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let mut alphai = Matrix::zeros_generic(nrows, Const::<1>);
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let mut beta = Matrix::zeros_generic(nrows, Const::<1>);
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let mut vsl = Matrix::zeros_generic(nrows, ncols);
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let mut vsr = Matrix::zeros_generic(nrows, ncols);
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let mut beta = Matrix::zeros_generic(nrows, Const::<1>);
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let mut vsl = Matrix::zeros_generic(nrows, ncols);
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let mut vsr = Matrix::zeros_generic(nrows, ncols);
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// Placeholders:
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let mut bwork = [0i32];
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let mut unused = 0;
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@ -140,14 +140,27 @@ where
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);
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lapack_check!(info);
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Some(QZ {alphar, alphai, beta,
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vsl, s:a,
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vsr, t:b})
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Some(QZ {
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alphar,
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alphai,
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beta,
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vsl,
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s: a,
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vsr,
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t: b,
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})
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}
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/// Retrieves the unitary matrix `Q` and the upper-quasitriangular matrix `T` such that the
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/// decomposed matrix equals `Q * T * Q.transpose()`.
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pub fn unpack(self) -> (OMatrix<T, D, D>, OMatrix<T, D, D>, OMatrix<T, D, D>, OMatrix<T, D, D>){
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pub fn unpack(
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self,
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) -> (
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OMatrix<T, D, D>,
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OMatrix<T, D, D>,
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OMatrix<T, D, D>,
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OMatrix<T, D, D>,
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) {
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(self.vsl, self.s, self.t, self.vsr)
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}
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@ -160,8 +173,10 @@ where
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let mut out = Matrix::zeros_generic(self.t.shape_generic().0, Const::<1>);
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for i in 0..out.len() {
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out[i] = Complex::new(self.alphar[i].clone()/self.beta[i].clone(),
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self.alphai[i].clone()/self.beta[i].clone())
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out[i] = Complex::new(
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self.alphar[i].clone() / self.beta[i].clone(),
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self.alphai[i].clone() / self.beta[i].clone(),
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)
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}
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out
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@ -177,50 +192,50 @@ where
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pub trait QZScalar: Scalar {
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#[allow(missing_docs)]
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fn xgges(
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jobvsl: u8,
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jobvsr: u8,
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sort: u8,
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jobvsl: u8,
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jobvsr: u8,
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sort: u8,
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// select: ???
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n: i32,
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a: &mut [Self],
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lda: i32,
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b: &mut [Self],
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ldb: i32,
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sdim: &mut i32,
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n: i32,
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a: &mut [Self],
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lda: i32,
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b: &mut [Self],
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ldb: i32,
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sdim: &mut i32,
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alphar: &mut [Self],
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alphai: &mut [Self],
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beta : &mut [Self],
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vsl: &mut [Self],
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ldvsl: i32,
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vsr: &mut [Self],
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ldvsr: i32,
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work: &mut [Self],
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lwork: i32,
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bwork: &mut [i32],
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info: &mut i32
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beta: &mut [Self],
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vsl: &mut [Self],
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ldvsl: i32,
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vsr: &mut [Self],
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ldvsr: i32,
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work: &mut [Self],
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lwork: i32,
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bwork: &mut [i32],
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info: &mut i32,
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);
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#[allow(missing_docs)]
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fn xgges_work_size(
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jobvsl: u8,
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jobvsr: u8,
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sort: u8,
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jobvsl: u8,
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jobvsr: u8,
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sort: u8,
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// select: ???
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n: i32,
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a: &mut [Self],
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lda: i32,
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b: &mut [Self],
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ldb: i32,
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sdim: &mut i32,
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n: i32,
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a: &mut [Self],
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lda: i32,
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b: &mut [Self],
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ldb: i32,
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sdim: &mut i32,
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alphar: &mut [Self],
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alphai: &mut [Self],
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beta : &mut [Self],
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vsl: &mut [Self],
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ldvsl: i32,
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vsr: &mut [Self],
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ldvsr: i32,
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bwork: &mut [i32],
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info: &mut i32
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beta: &mut [Self],
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vsl: &mut [Self],
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ldvsl: i32,
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vsr: &mut [Self],
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ldvsr: i32,
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bwork: &mut [i32],
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info: &mut i32,
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) -> i32;
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}
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