Struct nalgebra::base::LpNorm [−][src]
pub struct LpNorm(pub i32);
Expand description
Lp norm.
Tuple Fields
0: i32
Trait Implementations
Apply this norm to the given matrix.
fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<T, R1, C1, S1>,
m2: &Matrix<T, R2, C2, S2>
) -> T::SimdRealField where
R1: Dim,
C1: Dim,
S1: Storage<T, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
fn metric_distance<R1, C1, S1, R2, C2, S2>(
&self,
m1: &Matrix<T, R1, C1, S1>,
m2: &Matrix<T, R2, C2, S2>
) -> T::SimdRealField where
R1: Dim,
C1: Dim,
S1: Storage<T, R1, C1>,
R2: Dim,
C2: Dim,
S2: Storage<T, R2, C2>,
ShapeConstraint: SameNumberOfRows<R1, R2> + SameNumberOfColumns<C1, C2>,
Use the metric induced by this norm to compute the metric distance between the two given matrices.
Auto Trait Implementations
impl RefUnwindSafe for LpNorm
impl UnwindSafe for LpNorm
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
Checks if self
is actually part of its subset T
(and can be converted to it).
Use with care! Same as self.to_subset
but without any property checks. Always succeeds.
The inclusion map: converts self
to the equivalent element of its superset.