[−][src]Struct nalgebra::linalg::SymmetricEigen
Eigendecomposition of a symmetric matrix.
Fields
eigenvectors: MatrixN<N, D>
The eigenvectors of the decomposed matrix.
eigenvalues: VectorN<N, D>
The unsorted eigenvalues of the decomposed matrix.
Methods
impl<N: Real, D: Dim> SymmetricEigen<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
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DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
pub fn new(m: MatrixN<N, D>) -> Self where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, DimDiff<D, U1>>,
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D: DimSub<U1>,
DefaultAllocator: Allocator<N, DimDiff<D, U1>>,
Computes the eigendecomposition of the given symmetric matrix.
Only the lower-triangular parts (including its diagonal) of m
is read.
pub fn try_new(m: MatrixN<N, D>, eps: N, max_niter: usize) -> Option<Self> where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, DimDiff<D, U1>>,
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D: DimSub<U1>,
DefaultAllocator: Allocator<N, DimDiff<D, U1>>,
Computes the eigendecomposition of the given symmetric matrix with user-specified convergence parameters.
Only the lower-triangular part (including its diagonal) of m
is read.
Arguments
eps
− tolerance used to determine when a value converged to 0.max_niter
− maximum total number of iterations performed by the algorithm. If this number of iteration is exceeded,None
is returned. Ifniter == 0
, then the algorithm continues indefinitely until convergence.
pub fn recompose(&self) -> MatrixN<N, D>
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Rebuild the original matrix.
This is useful if some of the eigenvalues have been manually modified.
Trait Implementations
impl<N: Clone + Real, D: Clone + Dim> Clone for SymmetricEigen<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
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DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
fn clone(&self) -> SymmetricEigen<N, D>
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fn clone_from(&mut self, source: &Self)
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Performs copy-assignment from source
. Read more
impl<N: Real, D: Dim> Copy for SymmetricEigen<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
MatrixN<N, D>: Copy,
VectorN<N, D>: Copy,
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DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
MatrixN<N, D>: Copy,
VectorN<N, D>: Copy,
impl<N: Debug + Real, D: Debug + Dim> Debug for SymmetricEigen<N, D> where
DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
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DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>,
Auto Trait Implementations
impl<N, D> !Send for SymmetricEigen<N, D>
impl<N, D> !Sync for SymmetricEigen<N, D>
Blanket Implementations
impl<T> From for T
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impl<T, U> Into for T where
U: From<T>,
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U: From<T>,
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
impl<T, U> TryFrom for T where
U: Into<T>,
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U: Into<T>,
type Error = !
🔬 This is a nightly-only experimental API. (
try_from
)The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T> Borrow for T where
T: ?Sized,
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T: ?Sized,
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> BorrowMut for T where
T: ?Sized,
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T: ?Sized,
fn borrow_mut(&mut self) -> &mut T
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impl<T, U> TryInto for T where
U: TryFrom<T>,
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U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
🔬 This is a nightly-only experimental API. (
try_from
)The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>
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impl<T> Same for T
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type Output = T
Should always be Self
impl<SS, SP> SupersetOf for SP where
SS: SubsetOf<SP>,
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SS: SubsetOf<SP>,