Struct EigGeneralizedWork 

#[non_exhaustive]
pub struct EigGeneralizedWork<T: Scalar> {

    pub n: i32,
    pub jobvr: JobEv,
    pub jobvl: JobEv,
    pub alpha: Vec<MaybeUninit<T::Complex>>,
    pub beta: Vec<MaybeUninit<T::Complex>>,
    pub alpha_re: Option<Vec<MaybeUninit<T::Real>>>,
    pub alpha_im: Option<Vec<MaybeUninit<T::Real>>>,
    pub beta_re: Option<Vec<MaybeUninit<T::Real>>>,
    pub beta_im: Option<Vec<MaybeUninit<T::Real>>>,
    pub vc_l: Option<Vec<MaybeUninit<T::Complex>>>,
    pub vr_l: Option<Vec<MaybeUninit<T::Real>>>,
    pub vc_r: Option<Vec<MaybeUninit<T::Complex>>>,
    pub vr_r: Option<Vec<MaybeUninit<T::Real>>>,
    pub work: Vec<MaybeUninit<T>>,
    pub rwork: Option<Vec<MaybeUninit<T::Real>>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

n: i32

Problem size

jobvr: JobEv

Compute right eigenvectors or not

jobvl: JobEv

Compute left eigenvectors or not

alpha: Vec<MaybeUninit<T::Complex>>

Eigenvalues: alpha (numerators)

beta: Vec<MaybeUninit<T::Complex>>

Eigenvalues: beta (denominators)

alpha_re: Option<Vec<MaybeUninit<T::Real>>>

Real part of alpha (eigenvalue numerators) used in real routines

alpha_im: Option<Vec<MaybeUninit<T::Real>>>

Imaginary part of alpha (eigenvalue numerators) used in real routines

beta_re: Option<Vec<MaybeUninit<T::Real>>>

Real part of beta (eigenvalue denominators) used in real routines

beta_im: Option<Vec<MaybeUninit<T::Real>>>

Imaginary part of beta (eigenvalue denominators) used in real routines

vc_l: Option<Vec<MaybeUninit<T::Complex>>>

Left eigenvectors

vr_l: Option<Vec<MaybeUninit<T::Real>>>

Left eigenvectors used in real routines

vc_r: Option<Vec<MaybeUninit<T::Complex>>>

Right eigenvectors

vr_r: Option<Vec<MaybeUninit<T::Real>>>

Right eigenvectors used in real routines

work: Vec<MaybeUninit<T>>

Working memory

rwork: Option<Vec<MaybeUninit<T::Real>>>

Working memory with T::Real

Implementations

impl<T> EigGeneralizedWork<T>

where T: Scalar, EigGeneralizedWork<T>: EigGeneralizedWorkImpl<Elem = T>,

pub fn new(calc_v: bool, l: MatrixLayout) -> Result<Self>

Create new working memory for eigenvalues compution.

pub fn calc( &mut self, a: &mut [T], b: &mut [T], ) -> Result<EigGeneralizedRef<'_, T>>

Compute eigenvalues and vectors on this working memory.

pub fn eval(self, a: &mut [T], b: &mut [T]) -> Result<EigGeneralizedOwned<T>>

Compute eigenvalues and vectors by consuming this working memory.

Trait Implementations

impl EigGeneralizedWorkImpl for EigGeneralizedWork<c32>

type Elem = Complex<f32>

fn new(calc_v: bool, l: MatrixLayout) -> Result<Self>

fn calc<'work>( &'work mut self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedRef<'work, Self::Elem>>

fn eval( self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedOwned<Self::Elem>>

impl EigGeneralizedWorkImpl for EigGeneralizedWork<c64>

type Elem = Complex<f64>

fn new(calc_v: bool, l: MatrixLayout) -> Result<Self>

fn calc<'work>( &'work mut self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedRef<'work, Self::Elem>>

fn eval( self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedOwned<Self::Elem>>

impl EigGeneralizedWorkImpl for EigGeneralizedWork<f32>

type Elem = f32

fn new(calc_v: bool, l: MatrixLayout) -> Result<Self>

fn calc<'work>( &'work mut self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedRef<'work, Self::Elem>>

fn eval( self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedOwned<Self::Elem>>

impl EigGeneralizedWorkImpl for EigGeneralizedWork<f64>

type Elem = f64

fn new(calc_v: bool, l: MatrixLayout) -> Result<Self>

fn calc<'work>( &'work mut self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedRef<'work, Self::Elem>>

fn eval( self, a: &mut [Self::Elem], b: &mut [Self::Elem], ) -> Result<EigGeneralizedOwned<Self::Elem>>