Struct varpro::util::DiagMatrix
source · pub struct DiagMatrix<ScalarType, D>{ /* private fields */ }
Expand description
A square diagonal matrix with dynamic dimension. Off-diagonal entries are assumed zero. This internally stores only the diagonal elements
§Types
ScalarType: the numeric type of the matrix
Implementations§
source§impl<ScalarType, D> DiagMatrix<ScalarType, D>
impl<ScalarType, D> DiagMatrix<ScalarType, D>
sourcepub fn ncols(&self) -> usize
pub fn ncols(&self) -> usize
get the number of columns of the matrix The matrix is square, so this is equal to the number of rows
sourcepub fn nrows(&self) -> usize
pub fn nrows(&self) -> usize
get the number of rows of the matrix The matrix is square, so this is equal to the number of columns
sourcepub fn size(&self) -> usize
pub fn size(&self) -> usize
the size (i.e. number of rows == number of cols) of this square matrix
sourcepub fn from_real_field(diagonal: OVector<ScalarType::RealField, D>) -> Self
pub fn from_real_field(diagonal: OVector<ScalarType::RealField, D>) -> Self
Generate a square matrix containing the entries of the vector which contains only real field values of this (potentially) complex type
Trait Implementations§
source§impl<ScalarType, D> Clone for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + Clone,
D: Dim + Clone,
DefaultAllocator: Allocator<ScalarType, D>,
impl<ScalarType, D> Clone for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + Clone,
D: Dim + Clone,
DefaultAllocator: Allocator<ScalarType, D>,
source§fn clone(&self) -> DiagMatrix<ScalarType, D>
fn clone(&self) -> DiagMatrix<ScalarType, D>
Returns a copy of the value. Read more
1.0.0 · source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source
. Read moresource§impl<ScalarType, D> Debug for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + Debug,
D: Dim + Debug,
DefaultAllocator: Allocator<ScalarType, D>,
impl<ScalarType, D> Debug for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + Debug,
D: Dim + Debug,
DefaultAllocator: Allocator<ScalarType, D>,
source§impl<ScalarType, D> From<DiagMatrix<ScalarType, D>> for Weights<ScalarType, D>
impl<ScalarType, D> From<DiagMatrix<ScalarType, D>> for Weights<ScalarType, D>
create diagonal weights using the given diagonal matrix
source§fn from(diag: DiagMatrix<ScalarType, D>) -> Self
fn from(diag: DiagMatrix<ScalarType, D>) -> Self
Converts to this type from the input type.
source§impl<ScalarType, D> From<Matrix<ScalarType, D, Const<1>, <DefaultAllocator as Allocator<ScalarType, D>>::Buffer>> for DiagMatrix<ScalarType, D>
impl<ScalarType, D> From<Matrix<ScalarType, D, Const<1>, <DefaultAllocator as Allocator<ScalarType, D>>::Buffer>> for DiagMatrix<ScalarType, D>
Generate a square diagonal matrix from the given diagonal vector.
source§impl<ScalarType, R, C, S> Mul<Matrix<ScalarType, R, C, S>> for &DiagMatrix<ScalarType, R>where
ScalarType: ClosedMul + Scalar + ComplexField,
C: Dim,
R: Dim,
S: RawStorageMut<ScalarType, R, C>,
DefaultAllocator: Allocator<ScalarType, R>,
impl<ScalarType, R, C, S> Mul<Matrix<ScalarType, R, C, S>> for &DiagMatrix<ScalarType, R>where
ScalarType: ClosedMul + Scalar + ComplexField,
C: Dim,
R: Dim,
S: RawStorageMut<ScalarType, R, C>,
DefaultAllocator: Allocator<ScalarType, R>,
source§impl<ScalarType, D> PartialEq for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + PartialEq,
D: Dim + PartialEq,
DefaultAllocator: Allocator<ScalarType, D>,
impl<ScalarType, D> PartialEq for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + PartialEq,
D: Dim + PartialEq,
DefaultAllocator: Allocator<ScalarType, D>,
source§fn eq(&self, other: &DiagMatrix<ScalarType, D>) -> bool
fn eq(&self, other: &DiagMatrix<ScalarType, D>) -> bool
This method tests for
self
and other
values to be equal, and is used
by ==
.impl<ScalarType, D> Eq for DiagMatrix<ScalarType, D>where
ScalarType: Scalar + ComplexField + Eq,
D: Dim + Eq,
DefaultAllocator: Allocator<ScalarType, D>,
impl<ScalarType, D> StructuralPartialEq for DiagMatrix<ScalarType, D>
Auto Trait Implementations§
impl<ScalarType, D> !Freeze for DiagMatrix<ScalarType, D>
impl<ScalarType, D> !RefUnwindSafe for DiagMatrix<ScalarType, D>
impl<ScalarType, D> !Send for DiagMatrix<ScalarType, D>
impl<ScalarType, D> !Sync for DiagMatrix<ScalarType, D>
impl<ScalarType, D> !Unpin for DiagMatrix<ScalarType, D>
impl<ScalarType, D> !UnwindSafe for DiagMatrix<ScalarType, D>
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
source§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
source§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read moresource§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).source§fn to_subset_unchecked(&self) -> SS
fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.source§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.