Struct Llt 

pub struct Llt<T> { /* private fields */ }

$L L^\top$ decomposition

Implementations

impl<T: ComplexField> Llt<T>

pub fn new<C: Conjugate<Canonical = T>>( A: MatRef<'_, C>, side: Side, ) -> Result<Self, LltError>

returns the $L L^\top$ decomposition of $A$

pub fn L(&self) -> MatRef<'_, T>

returns the $L$ factor

Trait Implementations

impl<T: Clone> Clone for Llt<T>

fn clone(&self) -> Llt<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for Llt<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: ComplexField> DenseSolveCore<T> for Llt<T>

fn reconstruct(&self) -> Mat<T>

returns an approximation of the matrix that was used to create the decomposition

fn inverse(&self) -> Mat<T>

returns an approximation of the inverse of the matrix that was used to create the decomposition

impl<T: ComplexField> ShapeCore for Llt<T>

fn nrows(&self) -> usize

returns the number of rows of the matrix

fn ncols(&self) -> usize

returns the number of columns of the matrix

impl<T: ComplexField> SolveCore<T> for Llt<T>

fn solve_in_place_with_conj(&self, conj: Conj, rhs: MatMut<'_, T>)

solves the equation self × x = rhs, implicitly conjugating self if needed, and stores the result in rhs

fn solve_transpose_in_place_with_conj(&self, conj: Conj, rhs: MatMut<'_, T>)

solves the equation self.transpose() × x = rhs, implicitly conjugating self if needed, and stores the result in rhs