Struct nalgebra::linalg::SymmetricEigen [] [src]

pub struct SymmetricEigen<N: Real, D: Dim> where
    DefaultAllocator: Allocator<N, D, D> + Allocator<N, D>, 
{ pub eigenvectors: MatrixN<N, D>, pub eigenvalues: VectorN<N, D>, }

Eigendecomposition of a symmetric matrix.

Fields

The eigenvectors of the decomposed matrix.

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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Computes the eigendecomposition of the given symmetric matrix.

Only the lower-triangular parts (including its diagonal) of m is read.

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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. If niter == 0, then the algorithm continues indefinitely until convergence.

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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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Returns a copy of the value. Read more

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Performs copy-assignment from source. Read more

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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Formats the value using the given formatter. 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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Auto Trait Implementations

impl<N, D> !Send for SymmetricEigen<N, D>

impl<N, D> !Sync for SymmetricEigen<N, D>