Struct nalgebra::linalg::FullPivLU [−][src]
pub struct FullPivLU<T: ComplexField, R: DimMin<C>, C: Dim> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>, { /* fields omitted */ }
Expand description
LU decomposition with full row and column pivoting.
Implementations
impl<T: ComplexField, R: DimMin<C>, C: Dim> FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
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impl<T: ComplexField, R: DimMin<C>, C: Dim> FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
[src]pub fn new(matrix: OMatrix<T, R, C>) -> Self
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pub fn new(matrix: OMatrix<T, R, C>) -> Self
[src]Computes the LU decomposition with full pivoting of matrix
.
This effectively computes P, L, U, Q
such that P * matrix * Q = LU
.
pub fn l(&self) -> OMatrix<T, R, DimMinimum<R, C>> where
DefaultAllocator: Allocator<T, R, DimMinimum<R, C>>,
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pub fn l(&self) -> OMatrix<T, R, DimMinimum<R, C>> where
DefaultAllocator: Allocator<T, R, DimMinimum<R, C>>,
[src]The lower triangular matrix of this decomposition.
pub fn u(&self) -> OMatrix<T, DimMinimum<R, C>, C> where
DefaultAllocator: Allocator<T, DimMinimum<R, C>, C>,
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pub fn u(&self) -> OMatrix<T, DimMinimum<R, C>, C> where
DefaultAllocator: Allocator<T, DimMinimum<R, C>, C>,
[src]The upper triangular matrix of this decomposition.
pub fn p(&self) -> &PermutationSequence<DimMinimum<R, C>>
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pub fn p(&self) -> &PermutationSequence<DimMinimum<R, C>>
[src]The row permutations of this decomposition.
pub fn q(&self) -> &PermutationSequence<DimMinimum<R, C>>
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pub fn q(&self) -> &PermutationSequence<DimMinimum<R, C>>
[src]The column permutations of this decomposition.
pub fn unpack(
self
) -> (PermutationSequence<DimMinimum<R, C>>, OMatrix<T, R, DimMinimum<R, C>>, OMatrix<T, DimMinimum<R, C>, C>, PermutationSequence<DimMinimum<R, C>>) where
DefaultAllocator: Allocator<T, R, DimMinimum<R, C>> + Allocator<T, DimMinimum<R, C>, C>,
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pub fn unpack(
self
) -> (PermutationSequence<DimMinimum<R, C>>, OMatrix<T, R, DimMinimum<R, C>>, OMatrix<T, DimMinimum<R, C>, C>, PermutationSequence<DimMinimum<R, C>>) where
DefaultAllocator: Allocator<T, R, DimMinimum<R, C>> + Allocator<T, DimMinimum<R, C>, C>,
[src]The two matrices of this decomposition and the row and column permutations: (P, L, U, Q)
.
impl<T: ComplexField, D: DimMin<D, Output = D>> FullPivLU<T, D, D> where
DefaultAllocator: Allocator<T, D, D> + Allocator<(usize, usize), D>,
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impl<T: ComplexField, D: DimMin<D, Output = D>> FullPivLU<T, D, D> where
DefaultAllocator: Allocator<T, D, D> + Allocator<(usize, usize), D>,
[src]pub fn solve<R2: Dim, C2: Dim, S2>(
&self,
b: &Matrix<T, R2, C2, S2>
) -> Option<OMatrix<T, R2, C2>> where
S2: Storage<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R2, D>,
DefaultAllocator: Allocator<T, R2, C2>,
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pub fn solve<R2: Dim, C2: Dim, S2>(
&self,
b: &Matrix<T, R2, C2, S2>
) -> Option<OMatrix<T, R2, C2>> where
S2: Storage<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R2, D>,
DefaultAllocator: Allocator<T, R2, C2>,
[src]Solves the linear system self * x = b
, where x
is the unknown to be determined.
Returns None
if the decomposed matrix is not invertible.
pub fn solve_mut<R2: Dim, C2: Dim, S2>(
&self,
b: &mut Matrix<T, R2, C2, S2>
) -> bool where
S2: StorageMut<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R2, D>,
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pub fn solve_mut<R2: Dim, C2: Dim, S2>(
&self,
b: &mut Matrix<T, R2, C2, S2>
) -> bool where
S2: StorageMut<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R2, D>,
[src]Solves the linear system self * x = b
, where x
is the unknown to be determined.
If the decomposed matrix is not invertible, this returns false
and its input b
may
be overwritten with garbage.
pub fn try_inverse(&self) -> Option<OMatrix<T, D, D>>
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pub fn try_inverse(&self) -> Option<OMatrix<T, D, D>>
[src]Computes the inverse of the decomposed matrix.
Returns None
if the decomposed matrix is not invertible.
pub fn is_invertible(&self) -> bool
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pub fn is_invertible(&self) -> bool
[src]Indicates if the decomposed matrix is invertible.
pub fn determinant(&self) -> T
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pub fn determinant(&self) -> T
[src]Computes the determinant of the decomposed matrix.
Trait Implementations
impl<T: Clone + ComplexField, R: Clone + DimMin<C>, C: Clone + Dim> Clone for FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
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impl<T: Clone + ComplexField, R: Clone + DimMin<C>, C: Clone + Dim> Clone for FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
[src]impl<T: Debug + ComplexField, R: Debug + DimMin<C>, C: Debug + Dim> Debug for FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
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impl<T: Debug + ComplexField, R: Debug + DimMin<C>, C: Debug + Dim> Debug for FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
[src]impl<T: ComplexField, R: DimMin<C>, C: Dim> Copy for FullPivLU<T, R, C> where
DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
OMatrix<T, R, C>: Copy,
PermutationSequence<DimMinimum<R, C>>: Copy,
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DefaultAllocator: Allocator<T, R, C> + Allocator<(usize, usize), DimMinimum<R, C>>,
OMatrix<T, R, C>: Copy,
PermutationSequence<DimMinimum<R, C>>: Copy,
Auto Trait Implementations
impl<T, R, C> !RefUnwindSafe for FullPivLU<T, R, C>
impl<T, R, C> !Send for FullPivLU<T, R, C>
impl<T, R, C> !Sync for FullPivLU<T, R, C>
impl<T, R, C> !Unpin for FullPivLU<T, R, C>
impl<T, R, C> !UnwindSafe for FullPivLU<T, R, C>
Blanket Implementations
impl<T> BorrowMut<T> for T where
T: ?Sized,
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impl<T> BorrowMut<T> for T where
T: ?Sized,
[src]pub fn borrow_mut(&mut self) -> &mut T
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pub fn borrow_mut(&mut self) -> &mut T
[src]Mutably borrows from an owned value. Read more
impl<SS, SP> SupersetOf<SS> for SP where
SS: SubsetOf<SP>,
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impl<SS, SP> SupersetOf<SS> for SP where
SS: SubsetOf<SP>,
[src]pub fn to_subset(&self) -> Option<SS>
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pub fn to_subset(&self) -> Option<SS>
[src]The inverse inclusion map: attempts to construct self
from the equivalent element of its
superset. Read more
pub fn is_in_subset(&self) -> bool
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pub fn is_in_subset(&self) -> bool
[src]Checks if self
is actually part of its subset T
(and can be converted to it).
pub fn to_subset_unchecked(&self) -> SS
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pub fn to_subset_unchecked(&self) -> SS
[src]Use with care! Same as self.to_subset
but without any property checks. Always succeeds.
pub fn from_subset(element: &SS) -> SP
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pub fn from_subset(element: &SS) -> SP
[src]The inclusion map: converts self
to the equivalent element of its superset.
impl<T> ToOwned for T where
T: Clone,
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impl<T> ToOwned for T where
T: Clone,
[src]type Owned = T
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn to_owned(&self) -> T
[src]Creates owned data from borrowed data, usually by cloning. Read more
pub fn clone_into(&self, target: &mut T)
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pub fn clone_into(&self, target: &mut T)
[src]🔬 This is a nightly-only experimental API. (toowned_clone_into
)
recently added
Uses borrowed data to replace owned data, usually by cloning. Read more
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
impl<V, T> VZip<V> for T where
V: MultiLane<T>,