Struct arcos_kdl::svd_eigen::SvdResult [−][src]
pub struct SvdResult {
pub u_matrix: DMatrix<f64>,
pub s_vector: DVector<f64>,
pub v_matrix: DMatrix<f64>,
// some fields omitted
}
Expand description
Struct for storing SVD results.
This struct Implements the Special algorithm for SVD used in Weighted damped least square kinematics.
Fields
u_matrix: DMatrix<f64>
Matrix holding left singular vectors
s_vector: DVector<f64>
Vector holding singular values
v_matrix: DMatrix<f64>
Matrix holding right singular vectors
Implementations
Copy a Jacobian to the matrix holding the left singular vectors
Reduction to bidiagonal form using the Householder Rotations method
Store the right singular vectors in its matrix (before convergence iterations)
Store the left singular vectors in its matrix (before convergence iterations)
Find a diagonal matrix with the final singular values using an iterative Algorithm. Any changes in singular values order or magnitud is also reflected in singular vectors
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for SvdResult
impl UnwindSafe for SvdResult
Blanket Implementations
Mutably borrows from an owned value. Read more
The inverse inclusion map: attempts to construct self
from the equivalent element of its
superset. Read more
pub fn is_in_subset(&self) -> bool
pub fn is_in_subset(&self) -> bool
Checks if self
is actually part of its subset T
(and can be converted to it).
pub fn to_subset_unchecked(&self) -> SS
pub fn to_subset_unchecked(&self) -> SS
Use with care! Same as self.to_subset
but without any property checks. Always succeeds.
pub fn from_subset(element: &SS) -> SP
pub fn from_subset(element: &SS) -> SP
The inclusion map: converts self
to the equivalent element of its superset.