Struct bayes_estimate::estimators::ud::CorrelatedFactorNoise [−][src]
pub struct CorrelatedFactorNoise<N: RealField, D: Dim> where
DefaultAllocator: Allocator<N, D, D>, { pub UD: OMatrix<N, D, D>, }
Expand description
Additive noise.
Noise represented as a the noise covariance as a factorised UdU’ matrix.
Fields
UD: OMatrix<N, D, D>Noise covariance
Implementations
impl<N: Copy + RealField, D: Dim> CorrelatedFactorNoise<N, D> where
DefaultAllocator: Allocator<N, D, D>,
impl<N: Copy + RealField, D: Dim> CorrelatedFactorNoise<N, D> where
DefaultAllocator: Allocator<N, D, D>,
Creates a CorrelatedFactorNoise from an CorrelatedNoise. The CorrelatedNoise must be PSD.
Auto Trait Implementations
impl<N, D> !RefUnwindSafe for CorrelatedFactorNoise<N, D>
impl<N, D> !Send for CorrelatedFactorNoise<N, D>
impl<N, D> !Sync for CorrelatedFactorNoise<N, D>
impl<N, D> !Unpin for CorrelatedFactorNoise<N, D>
impl<N, D> !UnwindSafe for CorrelatedFactorNoise<N, D>
Blanket Implementations
Mutably borrows from an owned value. Read more
type Output = T
type Output = T
Should always be Self
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.