SparseColMat

Struct SparseColMat 

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#[repr(transparent)]
pub struct SparseColMat<Inner>(pub Inner);
Expand description

generic SparseColMat wrapper

Tuple Fields§

§0: Inner

Implementations§

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impl<Inner> SparseColMat<Inner>

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pub fn from_inner_ref(inner: &Inner) -> &Self

wrap by reference

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pub fn from_inner_mut(inner: &mut Inner) -> &mut Self

wrap by mutable reference

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impl<'a, Rows: Shape, Cols: Shape, I: Index, T> SparseColMat<Ref<'a, I, T, Rows, Cols>>

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pub fn new( symbolic: SymbolicSparseColMatRef<'a, I, Rows, Cols>, val: &'a [T], ) -> Self

creates a new sparse matrix view.

§panics

panics if the length of values is not equal to the length of symbolic.row_idx()

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pub fn parts(self) -> (SymbolicSparseColMatRef<'a, I, Rows, Cols>, &'a [T])

returns the symbolic and numeric components of the sparse matrix

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pub fn symbolic(&self) -> SymbolicSparseColMatRef<'a, I, Rows, Cols>

returns the symbolic component of the sparse matrix

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pub fn val(self) -> &'a [T]

returns the numeric component of the sparse matrix

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pub fn val_of_col(self, j: Idx<Cols>) -> &'a [T]

returns a view over the values of column j

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pub fn as_shape<V: Shape, H: Shape>( self, nrows: V, ncols: H, ) -> SparseColMatRef<'a, I, T, V, H>

returns the input matrix with the given shape after checking that it matches the current shape

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pub fn get(self, row: Idx<Rows>, col: Idx<Cols>) -> Option<&'a T>

returns a reference to the value at the given index, or None if the symbolic structure doesn’t contain it, or contains multiple indices with the given index

§panics
  • panics if row >= self.nrows()
  • panics if col >= self.ncols()
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pub fn as_dyn(self) -> SparseColMatRef<'a, I, T>

returns the input matrix with dynamic shape

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pub fn as_ref(self) -> SparseColMatRef<'a, I, T, Rows, Cols>

returns a view over self

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pub fn transpose(self) -> SparseRowMatRef<'a, I, T, Cols, Rows>

returns a view over the transpose of self

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pub fn conjugate(self) -> SparseColMatRef<'a, I, T::Conj, Rows, Cols>
where T: Conjugate,

returns a view over the conjugate of self

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pub fn adjoint(self) -> SparseRowMatRef<'a, I, T::Conj, Cols, Rows>
where T: Conjugate,

returns a view over the adjoint of self

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pub fn canonical(self) -> SparseColMatRef<'a, I, T::Canonical, Rows, Cols>
where T: Conjugate,

returns an unconjugated view over self

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pub fn to_row_major( &self, ) -> Result<SparseRowMat<I, T::Canonical, Rows, Cols>, FaerError>
where T: Conjugate,

returns a newly allocated matrix holding the (possibly conjugated) values of self in row major format

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pub fn to_dense(&self) -> Mat<T::Canonical, Rows, Cols>
where T: Conjugate,

returns a newly allocated dense matrix holding the (possibly conjugated) values of self

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pub fn triplet_iter( self, ) -> impl 'a + Iterator<Item = Triplet<Idx<Rows>, Idx<Cols>, &'a T>>
where Rows: 'a, Cols: 'a,

returns an iterator over the entries of the matrix.

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impl<'a, Rows: Shape, Cols: Shape, I: Index, T> SparseColMat<Mut<'a, I, T, Rows, Cols>>

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pub fn new( symbolic: SymbolicSparseColMatRef<'a, I, Rows, Cols>, val: &'a mut [T], ) -> Self

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pub fn parts(self) -> (SymbolicSparseColMatRef<'a, I, Rows, Cols>, &'a [T])

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pub fn parts_mut( self, ) -> (SymbolicSparseColMatRef<'a, I, Rows, Cols>, &'a mut [T])

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pub fn symbolic(&self) -> SymbolicSparseColMatRef<'a, I, Rows, Cols>

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pub fn val(self) -> &'a [T]

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pub fn val_mut(self) -> &'a mut [T]

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pub fn val_of_col(self, j: Idx<Cols>) -> &'a [T]

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pub fn val_of_col_mut(self, j: Idx<Cols>) -> &'a mut [T]

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pub fn idx_val_of_col_mut( self, j: Idx<Cols>, ) -> (impl 'a + Clone + ExactSizeIterator + DoubleEndedIterator<Item = Idx<Rows>>, &'a mut [T])
where Rows: 'a, Cols: 'a,

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pub fn as_shape<V: Shape, H: Shape>( self, nrows: V, ncols: H, ) -> SparseColMatRef<'a, I, T, V, H>

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pub fn as_shape_mut<V: Shape, H: Shape>( self, nrows: V, ncols: H, ) -> SparseColMatMut<'a, I, T, V, H>

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pub fn as_dyn(self) -> SparseColMatRef<'a, I, T>

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pub fn get(self, row: Idx<Rows>, col: Idx<Cols>) -> Option<&'a T>

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pub fn get_mut(self, row: Idx<Rows>, col: Idx<Cols>) -> Option<&'a mut T>

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pub fn as_dyn_mut(self) -> SparseColMatMut<'a, I, T>

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pub fn transpose(self) -> SparseRowMatRef<'a, I, T, Cols, Rows>

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pub fn transpose_mut(self) -> SparseRowMatMut<'a, I, T, Cols, Rows>

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pub fn conjugate(self) -> SparseColMatRef<'a, I, T::Conj, Rows, Cols>
where T: Conjugate,

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pub fn conjugate_mut(self) -> SparseColMatMut<'a, I, T::Conj, Rows, Cols>
where T: Conjugate,

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pub fn adjoint(self) -> SparseRowMatRef<'a, I, T::Conj, Cols, Rows>
where T: Conjugate,

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pub fn adjoint_mut(self) -> SparseRowMatMut<'a, I, T::Conj, Cols, Rows>
where T: Conjugate,

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pub fn canonical(self) -> SparseColMatRef<'a, I, T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn canonical_mut(self) -> SparseColMatMut<'a, I, T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn to_row_major( &self, ) -> Result<SparseRowMat<I, T::Canonical, Rows, Cols>, FaerError>
where T: Conjugate,

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pub fn to_dense(&self) -> Mat<T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn triplet_iter( self, ) -> impl 'a + Iterator<Item = Triplet<Idx<Rows>, Idx<Cols>, &'a T>>
where Rows: 'a, Cols: 'a,

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impl<Rows: Shape, Cols: Shape, I: Index, T> SparseColMat<Own<I, T, Rows, Cols>>

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pub fn new(symbolic: SymbolicSparseColMat<I, Rows, Cols>, val: Vec<T>) -> Self

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pub fn parts(&self) -> (SymbolicSparseColMatRef<'_, I, Rows, Cols>, &[T])

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pub fn parts_mut( &mut self, ) -> (SymbolicSparseColMatRef<'_, I, Rows, Cols>, &mut [T])

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pub fn into_parts(self) -> (SymbolicSparseColMat<I, Rows, Cols>, Vec<T>)

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pub fn symbolic(&self) -> SymbolicSparseColMatRef<'_, I, Rows, Cols>

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pub fn val(&self) -> &[T]

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pub fn val_mut(&mut self) -> &mut [T]

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pub fn val_of_col(&self, j: Idx<Cols>) -> &[T]

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pub fn val_of_col_mut(&mut self, j: Idx<Cols>) -> &mut [T]

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pub fn as_shape<V: Shape, H: Shape>( &self, nrows: V, ncols: H, ) -> SparseColMatRef<'_, I, T, V, H>

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pub fn as_shape_mut<V: Shape, H: Shape>( &mut self, nrows: V, ncols: H, ) -> SparseColMatMut<'_, I, T, V, H>

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pub fn into_shape<V: Shape, H: Shape>( self, nrows: V, ncols: H, ) -> SparseColMat<I, T, V, H>

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pub fn as_dyn(&self) -> SparseColMatRef<'_, I, T>

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pub fn as_dyn_mut(&mut self) -> SparseColMatMut<'_, I, T>

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pub fn into_dyn(self) -> SparseColMat<I, T>

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pub fn as_ref(&self) -> SparseColMatRef<'_, I, T, Rows, Cols>

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pub fn transpose(&self) -> SparseRowMatRef<'_, I, T, Cols, Rows>

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pub fn transpose_mut(&mut self) -> SparseRowMatMut<'_, I, T, Cols, Rows>

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pub fn into_transpose(self) -> SparseRowMat<I, T, Cols, Rows>

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pub fn conjugate(&self) -> SparseColMatRef<'_, I, T::Conj, Rows, Cols>
where T: Conjugate,

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pub fn conjugate_mut(&mut self) -> SparseColMatMut<'_, I, T::Conj, Rows, Cols>
where T: Conjugate,

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pub fn into_conjugate(self) -> SparseColMat<I, T::Conj, Rows, Cols>
where T: Conjugate,

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pub fn adjoint(&self) -> SparseRowMatRef<'_, I, T::Conj, Cols, Rows>
where T: Conjugate,

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pub fn adjoint_mut(&mut self) -> SparseRowMatMut<'_, I, T::Conj, Cols, Rows>
where T: Conjugate,

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pub fn into_adjoint(self) -> SparseRowMat<I, T::Conj, Cols, Rows>
where T: Conjugate,

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pub fn canonical(&self) -> SparseColMatRef<'_, I, T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn canonical_mut( &mut self, ) -> SparseColMatMut<'_, I, T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn into_canonical(self) -> SparseColMat<I, T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn to_row_major( &self, ) -> Result<SparseRowMat<I, T::Canonical, Rows, Cols>, FaerError>
where T: Conjugate,

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pub fn to_dense(&self) -> Mat<T::Canonical, Rows, Cols>
where T: Conjugate,

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pub fn new_from_argsort( symbolic: SymbolicSparseColMat<I, Rows, Cols>, argsort: &Argsort<I>, val: &[T], ) -> Result<Self, FaerError>
where T: ComplexField,

create a new matrix from a previously created symbolic structure and value order

the provided values must correspond to the same indices that were provided in the function call from which the order was created

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pub fn try_new_from_triplets( nrows: Rows, ncols: Cols, entries: &[Triplet<Idx<Rows, I>, Idx<Cols, I>, T>], ) -> Result<Self, CreationError>
where T: ComplexField,

create a new matrix from triplets

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pub fn try_new_from_nonnegative_triplets( nrows: Rows, ncols: Cols, entries: &[Triplet<MaybeIdx<Rows, I>, MaybeIdx<Cols, I>, T>], ) -> Result<Self, CreationError>
where T: ComplexField,

create a new matrix from triplets

negative indices are ignored

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pub fn get(&self, row: Idx<Rows>, col: Idx<Cols>) -> Option<&T>

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pub fn get_mut(&mut self, row: Idx<Rows>, col: Idx<Cols>) -> Option<&mut T>

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pub fn triplet_iter( &self, ) -> impl '_ + Iterator<Item = Triplet<Idx<Rows>, Idx<Cols>, &T>>

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impl<I: Index, T: ComplexField, Inner: for<'short> Reborrow<'short, Target = Ref<'short, I, T>>> SparseColMat<Inner>

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pub fn sp_solve_lower_triangular_in_place( &self, rhs: impl AsMatMut<T = T, Rows = usize>, )

assuming self is a lower triangular matrix, solves the equation self * x = rhs, and stores the result in rhs

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the matrix indices need not be sorted, but the diagonal element is assumed to be the first stored element in each column

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pub fn sp_solve_upper_triangular_in_place( &self, rhs: impl AsMatMut<T = T, Rows = usize>, )

assuming self is an upper triangular matrix, solves the equation self * x = rhs, and stores the result in rhs

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the matrix indices need not be sorted, but the diagonal element is assumed to be the last stored element in each column

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pub fn sp_solve_unit_lower_triangular_in_place( &self, rhs: impl AsMatMut<T = T, Rows = usize>, )

assuming self is a unit lower triangular matrix, solves the equation self * x = rhs, and stores the result in rhs

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the matrix indices need not be sorted, but the diagonal element is assumed to be the first stored element in each column

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pub fn sp_solve_unit_upper_triangular_in_place( &self, rhs: impl AsMatMut<T = T, Rows = usize>, )

assuming self is a unit upper triangular matrix, solves the equation self * x = rhs, and stores the result in rhs

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the matrix indices need not be sorted, but the diagonal element is assumed to be the last stored element in each column

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pub fn sp_cholesky(&self, side: Side) -> Result<Llt<I, T>, LltError>

returns the $LL^\top$ decomposition of self. only the provided side is accessed

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pub fn sp_lu(&self) -> Result<Lu<I, T>, LuError>

returns the $LU$ decomposition of self with partial (row) pivoting

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pub fn sp_qr(&self) -> Result<Qr<I, T>, FaerError>

returns the $QR$ decomposition of self

Trait Implementations§

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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Add<&SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the + operator.
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fn add(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the + operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Add<&SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the + operator.
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fn add(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the + operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Add<SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the + operator.
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fn add(self, rhs: SparseColMat<R>) -> Self::Output

Performs the + operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Add<SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the + operator.
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fn add(self, rhs: SparseColMat<R>) -> Self::Output

Performs the + operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> AddAssign<&SparseColMat<R>> for SparseColMat<L>

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fn add_assign(&mut self, rhs: &SparseColMat<R>)

Performs the += operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> AddAssign<SparseColMat<R>> for SparseColMat<L>

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fn add_assign(&mut self, rhs: SparseColMat<R>)

Performs the += operation. Read more
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impl<Inner: Clone> Clone for SparseColMat<Inner>

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fn clone(&self) -> SparseColMat<Inner>

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl<Inner: Debug> Debug for SparseColMat<Inner>

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<&Scale<T>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: &Scale<T>) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<&Scale<T>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: &Scale<T>) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<&f64> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: &f64) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<&f64> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: &f64) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<Scale<T>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: Scale<T>) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<Scale<T>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: Scale<T>) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<f64> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: f64) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Div<f64> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the / operator.
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fn div(self, rhs: f64) -> Self::Output

Performs the / operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> DivAssign<&Scale<T>> for SparseColMat<L>

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fn div_assign(&mut self, rhs: &Scale<T>)

Performs the /= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> DivAssign<&f64> for SparseColMat<L>

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fn div_assign(&mut self, rhs: &f64)

Performs the /= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> DivAssign<Scale<T>> for SparseColMat<L>

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fn div_assign(&mut self, rhs: Scale<T>)

Performs the /= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> DivAssign<f64> for SparseColMat<L>

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fn div_assign(&mut self, rhs: f64)

Performs the /= operation. Read more
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impl<Inner: IntoConst> IntoConst for SparseColMat<Inner>

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impl<I: Index, T: ComplexField, Rows: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, RRStride>>> Mul<&Col<R>> for &SparseColMat<L>

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type Output = Col<Own<T, Rows>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Col<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, RRStride>>> Mul<&Col<R>> for SparseColMat<L>

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type Output = Col<Own<T, Rows>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Col<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Dim, RStride>>> Mul<&Diag<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Diag<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Dim, RStride>>> Mul<&Diag<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Diag<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, RCStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, Cols, RRStride, RCStride>>> Mul<&Mat<R>> for &SparseColMat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Mat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, RCStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, Cols, RRStride, RCStride>>> Mul<&Mat<R>> for SparseColMat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Mat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>> Mul<&Perm<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Perm<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>> Mul<&Perm<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Perm<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<&Scale<T>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Scale<T>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<&Scale<T>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &Scale<T>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, LStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Dim, LStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<&SparseColMat<R>> for &Diag<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LRStride: Stride, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Rows, Depth, LRStride, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for &Mat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<&SparseColMat<R>> for &Perm<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Depth, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for &Row<L>

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type Output = Row<Own<T, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<&SparseColMat<R>> for &Scale<T>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<&SparseColMat<R>> for &f64

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, LStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Dim, LStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<&SparseColMat<R>> for Diag<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LRStride: Stride, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Rows, Depth, LRStride, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for Mat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<&SparseColMat<R>> for Perm<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Depth, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for Row<L>

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type Output = Row<Own<T, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<&SparseColMat<R>> for Scale<T>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<&SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<&SparseColMat<R>> for f64

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<&f64> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &f64) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<&f64> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: &f64) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, RRStride>>> Mul<Col<R>> for &SparseColMat<L>

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type Output = Col<Own<T, Rows>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Col<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, RRStride>>> Mul<Col<R>> for SparseColMat<L>

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type Output = Col<Own<T, Rows>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Col<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Dim, RStride>>> Mul<Diag<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Diag<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Dim, RStride>>> Mul<Diag<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Diag<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, RCStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, Cols, RRStride, RCStride>>> Mul<Mat<R>> for &SparseColMat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Mat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, RRStride: Stride, RCStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, RT, Depth, Cols, RRStride, RCStride>>> Mul<Mat<R>> for SparseColMat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Mat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>> Mul<Perm<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Perm<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>> Mul<Perm<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Dim>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Perm<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<Scale<T>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Scale<T>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<Scale<T>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: Scale<T>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, LStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Dim, LStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<SparseColMat<R>> for &Diag<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LRStride: Stride, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Rows, Depth, LRStride, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for &Mat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<SparseColMat<R>> for &Perm<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Depth, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for &Row<L>

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type Output = Row<Own<T, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<SparseColMat<R>> for &Scale<T>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<SparseColMat<R>> for &f64

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, LStride: Stride, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Dim, LStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<SparseColMat<R>> for Diag<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LRStride: Stride, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Rows, Depth, LRStride, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for Mat<L>

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type Output = Mat<Own<T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Dim: Shape, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, Dim>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Dim, Cols>>> Mul<SparseColMat<R>> for Perm<L>

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type Output = SparseColMat<Own<I, T, Dim, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, LCStride: Stride, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, LT, Depth, LCStride>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for Row<L>

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type Output = Row<Own<T, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<SparseColMat<R>> for Scale<T>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, Depth: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Depth>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Depth, Cols>>> Mul<SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Mul<SparseColMat<R>> for f64

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: SparseColMat<R>) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<f64> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: f64) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>> Mul<f64> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the * operator.
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fn mul(self, rhs: f64) -> Self::Output

Performs the * operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> MulAssign<&Scale<T>> for SparseColMat<L>

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fn mul_assign(&mut self, rhs: &Scale<T>)

Performs the *= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> MulAssign<&f64> for SparseColMat<L>

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fn mul_assign(&mut self, rhs: &f64)

Performs the *= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> MulAssign<Scale<T>> for SparseColMat<L>

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fn mul_assign(&mut self, rhs: Scale<T>)

Performs the *= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>> MulAssign<f64> for SparseColMat<L>

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fn mul_assign(&mut self, rhs: f64)

Performs the *= operation. Read more
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impl<I: Index, T: Conjugate, Rows: Shape, Cols: Shape, Inner: for<'a> Reborrow<'a, Target = Ref<'a, I, T, Rows, Cols>>> Neg for &SparseColMat<Inner>

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type Output = SparseColMat<Own<I, <T as Conjugate>::Canonical, Rows, Cols>>

The resulting type after applying the - operator.
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fn neg(self) -> Self::Output

Performs the unary - operation. Read more
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impl<I: Index, T: Conjugate, Rows: Shape, Cols: Shape, Inner: for<'a> Reborrow<'a, Target = Ref<'a, I, T, Rows, Cols>>> Neg for SparseColMat<Inner>

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type Output = SparseColMat<Own<I, <T as Conjugate>::Canonical, Rows, Cols>>

The resulting type after applying the - operator.
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fn neg(self) -> Self::Output

Performs the unary - operation. Read more
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impl<'short, Inner: Reborrow<'short>> Reborrow<'short> for SparseColMat<Inner>

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type Target = SparseColMat<<Inner as Reborrow<'short>>::Target>

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fn rb(&'short self) -> Self::Target

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impl<'short, Inner: ReborrowMut<'short>> ReborrowMut<'short> for SparseColMat<Inner>

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type Target = SparseColMat<<Inner as ReborrowMut<'short>>::Target>

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fn rb_mut(&'short mut self) -> Self::Target

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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Sub<&SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the - operator.
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fn sub(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the - operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Sub<&SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the - operator.
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fn sub(self, rhs: &SparseColMat<R>) -> Self::Output

Performs the - operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Sub<SparseColMat<R>> for &SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the - operator.
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fn sub(self, rhs: SparseColMat<R>) -> Self::Output

Performs the - operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, RT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> Sub<SparseColMat<R>> for SparseColMat<L>

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type Output = SparseColMat<Own<I, T, Rows, Cols>>

The resulting type after applying the - operator.
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fn sub(self, rhs: SparseColMat<R>) -> Self::Output

Performs the - operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> SubAssign<&SparseColMat<R>> for SparseColMat<L>

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fn sub_assign(&mut self, rhs: &SparseColMat<R>)

Performs the -= operation. Read more
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impl<I: Index, T: ComplexField, Rows: Shape, Cols: Shape, RT: Conjugate<Canonical = T>, L: for<'a> ReborrowMut<'a, Target = Mut<'a, I, T, Rows, Cols>>, R: for<'a> Reborrow<'a, Target = Ref<'a, I, RT, Rows, Cols>>> SubAssign<SparseColMat<R>> for SparseColMat<L>

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fn sub_assign(&mut self, rhs: SparseColMat<R>)

Performs the -= operation. Read more
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impl<Inner: Copy> Copy for SparseColMat<Inner>

Auto Trait Implementations§

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impl<Inner> Freeze for SparseColMat<Inner>
where Inner: Freeze,

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impl<Inner> RefUnwindSafe for SparseColMat<Inner>
where Inner: RefUnwindSafe,

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impl<Inner> Send for SparseColMat<Inner>
where Inner: Send,

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impl<Inner> Sync for SparseColMat<Inner>
where Inner: Sync,

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impl<Inner> Unpin for SparseColMat<Inner>
where Inner: Unpin,

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impl<Inner> UnwindSafe for SparseColMat<Inner>
where Inner: UnwindSafe,

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impl<Rhs, Lhs, Output> AddByRef<Rhs> for Lhs
where &'a Lhs: for<'a> Add<&'a Rhs, Output = Output>,

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type Output = Output

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fn add_by_ref(&self, rhs: &Rhs) -> <Lhs as AddByRef<Rhs>>::Output

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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impl<T> Borrow<T> for T
where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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impl<T> ByRef<T> for T

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fn by_ref(&self) -> &T

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impl<T> CloneToUninit for T
where T: Clone,

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unsafe fn clone_to_uninit(&self, dest: *mut u8)

🔬This is a nightly-only experimental API. (clone_to_uninit)
Performs copy-assignment from self to dest. Read more
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impl<T> DistributionExt for T
where T: ?Sized,

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fn rand<T>(&self, rng: &mut (impl ?Sized + Rng)) -> T
where Self: Distribution<T>,

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impl<Rhs, Lhs, Output> DivByRef<Rhs> for Lhs
where &'a Lhs: for<'a> Div<&'a Rhs, Output = Output>,

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type Output = Output

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fn div_by_ref(&self, rhs: &Rhs) -> <Lhs as DivByRef<Rhs>>::Output

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impl<T> From<T> for T

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fn from(t: T) -> T

Returns the argument unchanged.

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impl<T, U> Into<U> for T
where U: From<T>,

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fn into(self) -> U

Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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impl<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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impl<Rhs, Lhs, Output> MulByRef<Rhs> for Lhs
where &'a Lhs: for<'a> Mul<&'a Rhs, Output = Output>,

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type Output = Output

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fn mul_by_ref(&self, rhs: &Rhs) -> <Lhs as MulByRef<Rhs>>::Output

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impl<T, Output> NegByRef for T
where &'a T: for<'a> Neg<Output = Output>,

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type Output = Output

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fn neg_by_ref(&self) -> <T as NegByRef>::Output

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impl<T> Pointable for T

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const ALIGN: usize

The alignment of pointer.
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type Init = T

The type for initializers.
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unsafe fn init(init: <T as Pointable>::Init) -> usize

Initializes a with the given initializer. Read more
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unsafe fn deref<'a>(ptr: usize) -> &'a T

Dereferences the given pointer. Read more
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unsafe fn deref_mut<'a>(ptr: usize) -> &'a mut T

Mutably dereferences the given pointer. Read more
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unsafe fn drop(ptr: usize)

Drops the object pointed to by the given pointer. Read more
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impl<P, T> Receiver for P
where P: Deref<Target = T> + ?Sized, T: ?Sized,

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type Target = T

🔬This is a nightly-only experimental API. (arbitrary_self_types)
The target type on which the method may be called.
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impl<Rhs, Lhs, Output> SubByRef<Rhs> for Lhs
where &'a Lhs: for<'a> Sub<&'a Rhs, Output = Output>,

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type Output = Output

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fn sub_by_ref(&self, rhs: &Rhs) -> <Lhs as SubByRef<Rhs>>::Output

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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<V, T> VZip<V> for T
where V: MultiLane<T>,

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fn vzip(self) -> V