Struct bevy_rapier2d::prelude::nalgebra::linalg::SymmetricEigen[][src]

pub struct SymmetricEigen<T, D> where
    T: ComplexField,
    D: Dim,
    DefaultAllocator: Allocator<T, D, D>,
    DefaultAllocator: Allocator<<T as ComplexField>::RealField, D, Const<1_usize>>, 
{ pub eigenvectors: Matrix<T, D, D, <DefaultAllocator as Allocator<T, D, D>>::Buffer>, pub eigenvalues: Matrix<<T as ComplexField>::RealField, D, Const<1_usize>, <DefaultAllocator as Allocator<<T as ComplexField>::RealField, D, Const<1_usize>>>::Buffer>, }
Expand description

Eigendecomposition of a symmetric matrix.

Fields

eigenvectors: Matrix<T, D, D, <DefaultAllocator as Allocator<T, D, D>>::Buffer>

The eigenvectors of the decomposed matrix.

eigenvalues: Matrix<<T as ComplexField>::RealField, D, Const<1_usize>, <DefaultAllocator as Allocator<<T as ComplexField>::RealField, D, Const<1_usize>>>::Buffer>

The unsorted eigenvalues of the decomposed matrix.

Implementations

Computes the eigendecomposition of the given symmetric matrix.

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

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.

Rebuild the original matrix.

This is useful if some of the eigenvalues have been manually modified.

Trait Implementations

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