Struct LdltRef
pub struct LdltRef<'a, I, E>{
symbolic: &'a SymbolicCholesky<I>,
values: SliceGroup<'a, E>,
}
Expand description
Sparse LDLT factorization wrapper.
Fields§
§symbolic: &'a SymbolicCholesky<I>
§values: SliceGroup<'a, E>
Implementations§
§impl<'a, I, E> LdltRef<'a, I, E>
impl<'a, I, E> LdltRef<'a, I, E>
pub fn new(
symbolic: &'a SymbolicCholesky<I>,
values: <<E as Entity>::Group as ForType>::FaerOf<&'a [<E as Entity>::Unit]>,
) -> LdltRef<'a, I, E>
pub fn new( symbolic: &'a SymbolicCholesky<I>, values: <<E as Entity>::Group as ForType>::FaerOf<&'a [<E as Entity>::Unit]>, ) -> LdltRef<'a, I, E>
Creates new Cholesky LDLT factors from the symbolic part and numerical values.
§Panics
- Panics if
values.len() != symbolic.len_values()
.
pub fn symbolic(self) -> &'a SymbolicCholesky<I>
pub fn symbolic(self) -> &'a SymbolicCholesky<I>
Returns the symbolic part of the Cholesky factor.
pub fn solve_in_place_with_conj(
&self,
conj: Conj,
rhs: MatMut<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
)where
E: ComplexField,
pub fn solve_in_place_with_conj(
&self,
conj: Conj,
rhs: MatMut<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
)where
E: ComplexField,
Solves the equation $\text{Op}(A) x = \text{rhs}$ and stores the result in rhs
, where
$\text{Op}$ is either the identity or the conjugate, depending on the value of conj
.
§Panics
Panics if rhs.nrows() != self.symbolic().nrows()
.
Methods from Deref<Target = SymbolicCholesky<I>>§
pub fn raw(&self) -> &SymbolicCholeskyRaw<I>
pub fn raw(&self) -> &SymbolicCholeskyRaw<I>
Returns the inner type of the factorization, either simplicial or symbolic.
pub fn perm(&self) -> Option<PermRef<'_, I>>
pub fn perm(&self) -> Option<PermRef<'_, I>>
Returns the permutation that was computed during symbolic analysis.
pub fn len_values(&self) -> usize
pub fn len_values(&self) -> usize
Returns the length of the slice needed to store the numerical values of the Cholesky decomposition.
pub fn factorize_numeric_llt_req<E>(
&self,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
pub fn factorize_numeric_llt_req<E>(
&self,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
Computes the required workspace size and alignment for a numerical LLT factorization.
pub fn factorize_numeric_ldlt_req<E>(
&self,
with_regularization_signs: bool,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
pub fn factorize_numeric_ldlt_req<E>(
&self,
with_regularization_signs: bool,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
Computes the required workspace size and alignment for a numerical LDLT factorization.
pub fn factorize_numeric_intranode_bunch_kaufman_req<E>(
&self,
with_regularization_signs: bool,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
pub fn factorize_numeric_intranode_bunch_kaufman_req<E>(
&self,
with_regularization_signs: bool,
parallelism: Parallelism<'_>,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
Computes the required workspace size and alignment for a numerical intranodal Bunch-Kaufman factorization.
pub fn factorize_numeric_llt<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: LltRegularization<E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> Result<LltRef<'out, I, E>, CholeskyError>where
E: ComplexField,
pub fn factorize_numeric_llt<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: LltRegularization<E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> Result<LltRef<'out, I, E>, CholeskyError>where
E: ComplexField,
Computes a numerical LLT factorization of A, or returns a CholeskyError
if the matrix
is not numerically positive definite.
pub fn factorize_numeric_ldlt<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: LdltRegularization<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> LdltRef<'out, I, E>where
E: ComplexField,
pub fn factorize_numeric_ldlt<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: LdltRegularization<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> LdltRef<'out, I, E>where
E: ComplexField,
Computes a numerical LDLT factorization of A.
pub fn factorize_numeric_intranode_bunch_kaufman<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
subdiag: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
perm_forward: &'out mut [I],
perm_inverse: &'out mut [I],
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: BunchKaufmanRegularization<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> IntranodeBunchKaufmanRef<'out, I, E>where
E: ComplexField,
pub fn factorize_numeric_intranode_bunch_kaufman<'out, E>(
&'out self,
L_values: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
subdiag: <<E as Entity>::Group as ForType>::FaerOf<&'out mut [<E as Entity>::Unit]>,
perm_forward: &'out mut [I],
perm_inverse: &'out mut [I],
A: SparseColMatRef<'_, I, E>,
side: Side,
regularization: BunchKaufmanRegularization<'_, E>,
parallelism: Parallelism<'_>,
stack: PodStack<'_>,
) -> IntranodeBunchKaufmanRef<'out, I, E>where
E: ComplexField,
Computes a numerical intranodal Bunch-Kaufman factorization of A.
pub fn solve_in_place_req<E>(
&self,
rhs_ncols: usize,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
pub fn solve_in_place_req<E>(
&self,
rhs_ncols: usize,
) -> Result<StackReq, SizeOverflow>where
E: Entity,
Computes the required workspace size and alignment for a dense solve in place using an LLT, LDLT or intranodal Bunch-Kaufman factorization.
Trait Implementations§
impl<'a, I, E> Copy for LdltRef<'a, I, E>
Auto Trait Implementations§
impl<'a, I, E> Freeze for LdltRef<'a, I, E>
impl<'a, I, E> RefUnwindSafe for LdltRef<'a, I, E>where
<<E as Entity>::Group as ForCopyType>::FaerOfCopy<*const [<E as Entity>::Unit]>: RefUnwindSafe,
I: RefUnwindSafe,
impl<'a, I, E> Send for LdltRef<'a, I, E>
impl<'a, I, E> Sync for LdltRef<'a, I, E>
impl<'a, I, E> Unpin for LdltRef<'a, I, E>
impl<'a, I, E> UnwindSafe for LdltRef<'a, I, E>where
<<E as Entity>::Group as ForCopyType>::FaerOfCopy<*const [<E as Entity>::Unit]>: UnwindSafe,
I: RefUnwindSafe,
Blanket Implementations§
Source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
Source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Source§impl<T> CloneToUninit for Twhere
T: Clone,
impl<T> CloneToUninit for Twhere
T: Clone,
Source§unsafe fn clone_to_uninit(&self, dst: *mut T)
unsafe fn clone_to_uninit(&self, dst: *mut T)
clone_to_uninit
)Source§impl<T> IntoEither for T
impl<T> IntoEither for T
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fn into_either(self, into_left: bool) -> Either<Self, Self> ⓘ
self
into a Left
variant of Either<Self, Self>
if into_left
is true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read moreSource§fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
fn into_either_with<F>(self, into_left: F) -> Either<Self, Self> ⓘ
self
into a Left
variant of Either<Self, Self>
if into_left(&self)
returns true
.
Converts self
into a Right
variant of Either<Self, Self>
otherwise. Read more