Struct ggez::graphics::na::SymmetricEigen
[−]
[src]
pub struct SymmetricEigen<N, D> where
D: Dim,
N: Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>, { pub eigenvectors: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>, pub eigenvalues: Matrix<N, D, U1, <DefaultAllocator as Allocator<N, D, U1>>::Buffer>, }
Eigendecomposition of a symmetric matrix.
Fields
eigenvectors: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>
The eigenvectors of the decomposed matrix.
eigenvalues: Matrix<N, D, U1, <DefaultAllocator as Allocator<N, D, U1>>::Buffer>
The unsorted eigenvalues of the decomposed matrix.
Methods
impl<N, D> SymmetricEigen<N, D> where
D: Dim,
N: Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
[src]
D: Dim,
N: Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
fn new(
m: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>
) -> SymmetricEigen<N, D> where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, <D as DimSub<U1>>::Output, U1>,
[src]
m: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>
) -> SymmetricEigen<N, D> where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, <D as DimSub<U1>>::Output, U1>,
Computes the eigendecomposition of the given symmetric matrix.
Only the lower-triangular parts (including its diagonal) of m
is read.
fn try_new(
m: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>,
eps: N,
max_niter: usize
) -> Option<SymmetricEigen<N, D>> where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, <D as DimSub<U1>>::Output, U1>,
[src]
m: Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>,
eps: N,
max_niter: usize
) -> Option<SymmetricEigen<N, D>> where
D: DimSub<U1>,
DefaultAllocator: Allocator<N, <D as DimSub<U1>>::Output, 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.
fn recompose(
&self
) -> Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>
[src]
&self
) -> Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>
Rebuild the original matrix.
This is useful if some of the eigenvalues have been manually modified.
Trait Implementations
impl<N, D> Copy for SymmetricEigen<N, D> where
D: Dim,
N: Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>: Copy,
Matrix<N, D, U1, <DefaultAllocator as Allocator<N, D, U1>>::Buffer>: Copy,
[src]
D: Dim,
N: Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
Matrix<N, D, D, <DefaultAllocator as Allocator<N, D, D>>::Buffer>: Copy,
Matrix<N, D, U1, <DefaultAllocator as Allocator<N, D, U1>>::Buffer>: Copy,
impl<N, D> Clone for SymmetricEigen<N, D> where
D: Dim + Clone,
N: Clone + Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
[src]
D: Dim + Clone,
N: Clone + Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
fn clone(&self) -> SymmetricEigen<N, D>
[src]
Returns a copy of the value. Read more
fn clone_from(&mut self, source: &Self)
1.0.0[src]
Performs copy-assignment from source
. Read more
impl<N, D> Debug for SymmetricEigen<N, D> where
D: Dim + Debug,
N: Debug + Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,
[src]
D: Dim + Debug,
N: Debug + Real,
DefaultAllocator: Allocator<N, D, D>,
DefaultAllocator: Allocator<N, D, U1>,