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) -> &SparseColMat<Inner>

wrap by reference

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

wrap by mutable reference

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

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

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) -> (SymbolicSparseColMat<Ref<'a, I, Rows, Cols>>, &'a [T])

returns the symbolic and numeric components of the sparse matrix

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pub fn symbolic(&self) -> SymbolicSparseColMat<Ref<'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: <Cols as ShapeIdx>::Idx<usize>) -> &'a [T]

returns a view over the values of column j

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

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: <Rows as ShapeIdx>::Idx<usize>, col: <Cols as ShapeIdx>::Idx<usize>, ) -> 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) -> SparseColMat<Ref<'a, I, T>>

returns the input matrix with dynamic shape

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

returns a view over self

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

returns a view over the transpose of self

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

returns a view over the conjugate of self

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

returns a view over the adjoint of self

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

returns an unconjugated view over self

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pub fn to_row_major( &self, ) -> Result<SparseRowMat<Own<I, <T as Conjugate>::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<Own<<T as Conjugate>::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 Iterator<Item = Triplet<<Rows as ShapeIdx>::Idx<usize>, <Cols as ShapeIdx>::Idx<usize>, &'a T>> + 'a
where Rows: 'a, Cols: 'a,

returns an iterator over the entries of the matrix.

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

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pub fn new( symbolic: SymbolicSparseColMat<Ref<'a, I, Rows, Cols>>, val: &'a mut [T], ) -> SparseColMat<Mut<'a, I, T, Rows, Cols>>

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

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

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pub fn symbolic(&self) -> SymbolicSparseColMat<Ref<'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: <Cols as ShapeIdx>::Idx<usize>) -> &'a [T]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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pub fn symbolic(&self) -> SymbolicSparseColMat<Ref<'_, 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: <Cols as ShapeIdx>::Idx<usize>) -> &[T]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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pub fn new_from_argsort( symbolic: SymbolicSparseColMat<Own<I, Rows, Cols>>, argsort: &Argsort<I>, val: &[T], ) -> Result<SparseColMat<Own<I, T, Rows, Cols>>, 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<<Rows as ShapeIdx>::Idx<I>, <Cols as ShapeIdx>::Idx<I>, T>], ) -> Result<SparseColMat<Own<I, T, Rows, Cols>>, 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<<Rows as ShapeIdx>::MaybeIdx<I>, <Cols as ShapeIdx>::MaybeIdx<I>, T>], ) -> Result<SparseColMat<Own<I, T, Rows, Cols>>, CreationError>
where T: ComplexField,

create a new matrix from triplets

negative indices are ignored

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

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

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pub fn triplet_iter( &self, ) -> impl Iterator<Item = Triplet<<Rows as ShapeIdx>::Idx<usize>, <Cols as ShapeIdx>::Idx<usize>, &T>>

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

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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

§note

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

Methods from Deref<Target = SymbolicSparseColMat<Ref<'a, I, Rows, Cols>>>§

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pub fn nrows(&self) -> Rows

returns the number of rows of the matrix

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pub fn ncols(&self) -> Cols

returns the number of columns of the matrix

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pub fn shape(&self) -> (Rows, Cols)

returns the number of rows and columns of the matrix

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pub fn to_owned( &self, ) -> Result<SymbolicSparseColMat<Own<I, Rows, Cols>>, FaerError>

returns a newly allocated matrix holding the values of self

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pub fn to_row_major( &self, ) -> Result<SymbolicSparseRowMat<Own<I, Rows, Cols>>, FaerError>

returns a newly allocated matrix holding the values of self in row major format

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pub fn compute_nnz(&self) -> usize

returns the number of non-zero elements in the matrix

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pub fn col_ptr(&self) -> &'a [I]

returns the column pointers

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pub fn col_nnz(&self) -> Option<&'a [I]>

returns the column non-zero counts

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pub fn row_idx(&self) -> &'a [I]

returns the row indices

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pub fn col_range(&self, j: <Cols as ShapeIdx>::Idx<usize>) -> Range<usize>

returns the range specifying the indices of column j

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pub unsafe fn col_range_unchecked( &self, j: <Cols as ShapeIdx>::Idx<usize>, ) -> Range<usize>

returns the range specifying the indices of column j, without bound checks

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pub fn row_idx_of_col_raw( &self, j: <Cols as ShapeIdx>::Idx<usize>, ) -> &'a [<Rows as ShapeIdx>::Idx<I>]

returns the row indices of column j

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pub fn row_idx_of_col( &self, j: <Cols as ShapeIdx>::Idx<usize>, ) -> impl Clone + ExactSizeIterator + DoubleEndedIterator + 'a
where Rows: 'a, Cols: 'a,

returns the row indices of column j

Trait Implementations§

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impl<I, T, Rows, Cols, LT, RT, L, R> Add<&SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Add<&SparseColMat<R>>>::Output

Performs the + operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Add<&SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Add<&SparseColMat<R>>>::Output

Performs the + operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Add<SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Add<SparseColMat<R>>>::Output

Performs the + operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Add<SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Add<SparseColMat<R>>>::Output

Performs the + operation. Read more
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impl<I, T, Rows, Cols, RT, L, R> AddAssign<&SparseColMat<R>> for SparseColMat<L>
where 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>>,

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

Performs the += operation. Read more
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impl<I, T, Rows, Cols, RT, L, R> AddAssign<SparseColMat<R>> for SparseColMat<L>
where 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>>,

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

Performs the += operation. Read more
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impl<I, T, ViewT> BiLinOp<T> for SparseColMat<Mut<'_, I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply the transpose or adjoint o self to a matrix with rhs_ncols columns
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fn transpose_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in out
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fn adjoint_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in out
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impl<I, T, ViewT> BiLinOp<T> for SparseColMat<Own<I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply the transpose or adjoint o self to a matrix with rhs_ncols columns
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fn transpose_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in out
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fn adjoint_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in out
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impl<T, I, ViewT> BiLinOp<T> for SparseColMat<Ref<'_, I, ViewT>>
where T: ComplexField, I: Index, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply the transpose or adjoint o self to a matrix with rhs_ncols columns
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fn transpose_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in out
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fn adjoint_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in out
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impl<I, T, ViewT> BiPrecond<T> for SparseColMat<Mut<'_, I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_in_place_scratch( &self, rhs_ncols: usize, par: Par, ) -> StackReq

computes the workspace layout required to apply the transpose or adjoint of self to a matrix with rhs_ncols columns in place
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fn transpose_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in rhs
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fn adjoint_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in rhs
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impl<I, T, ViewT> BiPrecond<T> for SparseColMat<Own<I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_in_place_scratch( &self, rhs_ncols: usize, par: Par, ) -> StackReq

computes the workspace layout required to apply the transpose or adjoint of self to a matrix with rhs_ncols columns in place
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fn transpose_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in rhs
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fn adjoint_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in rhs
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impl<T, I, ViewT> BiPrecond<T> for SparseColMat<Ref<'_, I, ViewT>>
where T: ComplexField, I: Index, ViewT: Conjugate<Canonical = T>,

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fn transpose_apply_in_place_scratch( &self, rhs_ncols: usize, par: Par, ) -> StackReq

computes the workspace layout required to apply the transpose or adjoint of self to a matrix with rhs_ncols columns in place
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fn transpose_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the transpose of self to rhs, and stores the result in rhs
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fn adjoint_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the adjoint of self to rhs, and stores the result in rhs
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impl<Inner> Clone for SparseColMat<Inner>
where Inner: Clone,

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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 for SparseColMat<Inner>
where Inner: Debug,

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

Formats the value using the given formatter. Read more
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impl<Rows, Cols, I, T> Debug for SparseColMat<Mut<'_, I, T, Rows, Cols>>
where Rows: Shape, Cols: Shape, I: Index, T: Debug,

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

Formats the value using the given formatter. Read more
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impl<Rows, Cols, I, T> Debug for SparseColMat<Own<I, T, Rows, Cols>>
where Rows: Shape, Cols: Shape, I: Index, T: Debug,

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

Formats the value using the given formatter. Read more
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impl<'a, Rows, Cols, I, T> Deref for SparseColMat<Mut<'a, I, T, Rows, Cols>>
where Rows: Shape, Cols: Shape, I: Index,

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type Target = SymbolicSparseColMat<Ref<'a, I, Rows, Cols>>

The resulting type after dereferencing.
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fn deref(&self) -> &<SparseColMat<Mut<'a, I, T, Rows, Cols>> as Deref>::Target

Dereferences the value.
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impl<Rows, Cols, I, T> Deref for SparseColMat<Own<I, T, Rows, Cols>>
where Rows: Shape, Cols: Shape, I: Index,

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type Target = SymbolicSparseColMat<Own<I, Rows, Cols>>

The resulting type after dereferencing.
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fn deref(&self) -> &<SparseColMat<Own<I, T, Rows, Cols>> as Deref>::Target

Dereferences the value.
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impl<'a, Rows, Cols, I, T> Deref for SparseColMat<Ref<'a, I, T, Rows, Cols>>
where Rows: Shape, Cols: Shape, I: Index,

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type Target = SymbolicSparseColMat<Ref<'a, I, Rows, Cols>>

The resulting type after dereferencing.
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fn deref(&self) -> &<SparseColMat<Ref<'a, I, T, Rows, Cols>> as Deref>::Target

Dereferences the value.
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impl<I, T, Rows, Cols, LT, L> Div<&Scale<T>> for &SparseColMat<L>
where I: Index, T: ComplexField, Rows: Shape, Cols: Shape, LT: Conjugate<Canonical = T>, L: for<'a> Reborrow<'a, Target = Ref<'a, I, LT, Rows, Cols>>,

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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>) -> <&SparseColMat<L> as Div<&Scale<T>>>::Output

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

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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>) -> <SparseColMat<L> as Div<&Scale<T>>>::Output

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

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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) -> <&SparseColMat<L> as Div<&f64>>::Output

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

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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) -> <SparseColMat<L> as Div<&f64>>::Output

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

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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>) -> <&SparseColMat<L> as Div<Scale<T>>>::Output

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

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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>) -> <SparseColMat<L> as Div<Scale<T>>>::Output

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

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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) -> <&SparseColMat<L> as Div<f64>>::Output

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

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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) -> <SparseColMat<L> as Div<f64>>::Output

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

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

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

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

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

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

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

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fn div_assign(&mut self, rhs: f64)

Performs the /= operation. Read more
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impl<I, T> Index<(usize, usize)> for SparseColMat<Mut<'_, I, T>>
where I: Index,

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type Output = T

The returned type after indexing.
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fn index( &self, _: (usize, usize), ) -> &<SparseColMat<Mut<'_, I, T>> as Index<(usize, usize)>>::Output

Performs the indexing (container[index]) operation. Read more
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impl<I, T> Index<(usize, usize)> for SparseColMat<Own<I, T>>
where I: Index,

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type Output = T

The returned type after indexing.
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fn index( &self, _: (usize, usize), ) -> &<SparseColMat<Own<I, T>> as Index<(usize, usize)>>::Output

Performs the indexing (container[index]) operation. Read more
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impl<I, T> Index<(usize, usize)> for SparseColMat<Ref<'_, I, T>>
where I: Index,

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type Output = T

The returned type after indexing.
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fn index( &self, _: (usize, usize), ) -> &<SparseColMat<Ref<'_, I, T>> as Index<(usize, usize)>>::Output

Performs the indexing (container[index]) operation. Read more
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impl<I, T> IndexMut<(usize, usize)> for SparseColMat<Mut<'_, I, T>>
where I: Index,

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fn index_mut( &mut self, _: (usize, usize), ) -> &mut <SparseColMat<Mut<'_, I, T>> as Index<(usize, usize)>>::Output

Performs the mutable indexing (container[index]) operation. Read more
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impl<I, T> IndexMut<(usize, usize)> for SparseColMat<Own<I, T>>
where I: Index,

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fn index_mut( &mut self, _: (usize, usize), ) -> &mut <SparseColMat<Own<I, T>> as Index<(usize, usize)>>::Output

Performs the mutable indexing (container[index]) operation. Read more
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impl<Inner> IntoConst for SparseColMat<Inner>
where Inner: IntoConst,

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impl<I, T, ViewT> LinOp<T> for SparseColMat<Mut<'_, I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn nrows(&self) -> usize

output dimension of the operator
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fn ncols(&self) -> usize

input dimension of the operator
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fn apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate o self to a matrix with rhs_ncols columns
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fn apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies self to rhs, and stores the result in out
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fn conj_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in out
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impl<I, T, ViewT> LinOp<T> for SparseColMat<Own<I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn nrows(&self) -> usize

output dimension of the operator
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fn ncols(&self) -> usize

input dimension of the operator
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fn apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate o self to a matrix with rhs_ncols columns
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fn apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies self to rhs, and stores the result in out
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fn conj_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in out
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impl<T, I, ViewT> LinOp<T> for SparseColMat<Ref<'_, I, ViewT>>
where T: ComplexField, I: Index, ViewT: Conjugate<Canonical = T>,

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fn nrows(&self) -> usize

output dimension of the operator
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fn ncols(&self) -> usize

input dimension of the operator
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fn apply_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate o self to a matrix with rhs_ncols columns
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fn apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies self to rhs, and stores the result in out
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fn conj_apply( &self, out: Mat<Mut<'_, T>>, rhs: Mat<Ref<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in out
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impl<I, T, Rows, Depth, LT, RT, RRStride, L, R> Mul<&Col<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<&Col<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Depth, LT, RT, RRStride, L, R> Mul<&Col<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<&Col<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, RT, RStride, L, R> Mul<&Diag<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<&Diag<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, RT, RStride, L, R> Mul<&Diag<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<&Diag<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, RRStride, RCStride, L, R> Mul<&Mat<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<&Mat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, RRStride, RCStride, L, R> Mul<&Mat<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<&Mat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, L, R> Mul<&Perm<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<&Perm<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, L, R> Mul<&Perm<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<&Perm<R>>>::Output

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

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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>) -> <&SparseColMat<L> as Mul<&Scale<T>>>::Output

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

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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>) -> <SparseColMat<L> as Mul<&Scale<T>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, LT, RT, LStride, L, R> Mul<&SparseColMat<R>> for &Diag<L>
where 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>>,

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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>, ) -> <&Diag<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, LRStride, LCStride, RT, L, R> Mul<&SparseColMat<R>> for &Mat<L>
where 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>>,

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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>, ) -> <&Mat<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, RT, L, R> Mul<&SparseColMat<R>> for &Perm<L>
where 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>>,

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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>, ) -> <&Perm<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Depth, LT, LCStride, RT, L, R> Mul<&SparseColMat<R>> for &Row<L>
where 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>>,

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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>, ) -> <&Row<L> as Mul<&SparseColMat<R>>>::Output

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

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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>, ) -> <&Scale<T> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, L, R> Mul<&SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Mul<&SparseColMat<R>>>::Output

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

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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>) -> <&f64 as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, LT, RT, LStride, L, R> Mul<&SparseColMat<R>> for Diag<L>
where 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>>,

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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>, ) -> <Diag<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, LRStride, LCStride, RT, L, R> Mul<&SparseColMat<R>> for Mat<L>
where 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>>,

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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>) -> <Mat<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, RT, L, R> Mul<&SparseColMat<R>> for Perm<L>
where 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>>,

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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>, ) -> <Perm<L> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Depth, LT, LCStride, RT, L, R> Mul<&SparseColMat<R>> for Row<L>
where 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>>,

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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>) -> <Row<L> as Mul<&SparseColMat<R>>>::Output

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

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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>, ) -> <Scale<T> as Mul<&SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, L, R> Mul<&SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Mul<&SparseColMat<R>>>::Output

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

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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>) -> <f64 as Mul<&SparseColMat<R>>>::Output

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

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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) -> <&SparseColMat<L> as Mul<&f64>>::Output

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

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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) -> <SparseColMat<L> as Mul<&f64>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Depth, LT, RT, RRStride, L, R> Mul<Col<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<Col<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Depth, LT, RT, RRStride, L, R> Mul<Col<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<Col<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, RT, RStride, L, R> Mul<Diag<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<Diag<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, RT, RStride, L, R> Mul<Diag<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<Diag<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, RRStride, RCStride, L, R> Mul<Mat<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<Mat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, RRStride, RCStride, L, R> Mul<Mat<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<Mat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, L, R> Mul<Perm<R>> for &SparseColMat<L>
where 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>>,

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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>) -> <&SparseColMat<L> as Mul<Perm<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Dim, LT, L, R> Mul<Perm<R>> for SparseColMat<L>
where 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>>,

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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>) -> <SparseColMat<L> as Mul<Perm<R>>>::Output

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

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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>) -> <&SparseColMat<L> as Mul<Scale<T>>>::Output

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

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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>) -> <SparseColMat<L> as Mul<Scale<T>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, LT, RT, LStride, L, R> Mul<SparseColMat<R>> for &Diag<L>
where 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>>,

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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>) -> <&Diag<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, LRStride, LCStride, RT, L, R> Mul<SparseColMat<R>> for &Mat<L>
where 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>>,

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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>) -> <&Mat<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, RT, L, R> Mul<SparseColMat<R>> for &Perm<L>
where 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>>,

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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>) -> <&Perm<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Depth, LT, LCStride, RT, L, R> Mul<SparseColMat<R>> for &Row<L>
where 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>>,

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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>) -> <&Row<L> as Mul<SparseColMat<R>>>::Output

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

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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>, ) -> <&Scale<T> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, L, R> Mul<SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Mul<SparseColMat<R>>>::Output

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

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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>) -> <&f64 as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, LT, RT, LStride, L, R> Mul<SparseColMat<R>> for Diag<L>
where 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>>,

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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>) -> <Diag<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, LRStride, LCStride, RT, L, R> Mul<SparseColMat<R>> for Mat<L>
where 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>>,

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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>) -> <Mat<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Dim, RT, L, R> Mul<SparseColMat<R>> for Perm<L>
where 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>>,

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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>) -> <Perm<L> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Cols, Depth, LT, LCStride, RT, L, R> Mul<SparseColMat<R>> for Row<L>
where 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>>,

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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>) -> <Row<L> as Mul<SparseColMat<R>>>::Output

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

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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>) -> <Scale<T> as Mul<SparseColMat<R>>>::Output

Performs the * operation. Read more
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impl<I, T, Rows, Cols, Depth, LT, RT, L, R> Mul<SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Mul<SparseColMat<R>>>::Output

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

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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>) -> <f64 as Mul<SparseColMat<R>>>::Output

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

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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) -> <&SparseColMat<L> as Mul<f64>>::Output

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

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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) -> <SparseColMat<L> as Mul<f64>>::Output

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

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

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

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

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

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

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

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fn mul_assign(&mut self, rhs: f64)

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

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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) -> <&SparseColMat<Inner> as Neg>::Output

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

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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) -> <SparseColMat<Inner> as Neg>::Output

Performs the unary - operation. Read more
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impl<I, T, ViewT> Precond<T> for SparseColMat<Mut<'_, I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn apply_in_place_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate of self to a matrix with rhs_ncols columns in place
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fn apply_in_place(&self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack)

applies self to rhs, and stores the result in rhs
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fn conj_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in rhs
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impl<I, T, ViewT> Precond<T> for SparseColMat<Own<I, ViewT>>
where I: Index, T: ComplexField, ViewT: Conjugate<Canonical = T>,

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fn apply_in_place_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate of self to a matrix with rhs_ncols columns in place
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fn apply_in_place(&self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack)

applies self to rhs, and stores the result in rhs
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fn conj_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in rhs
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impl<T, I, ViewT> Precond<T> for SparseColMat<Ref<'_, I, ViewT>>
where T: ComplexField, I: Index, ViewT: Conjugate<Canonical = T>,

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fn apply_in_place_scratch(&self, rhs_ncols: usize, par: Par) -> StackReq

computes the workspace layout required to apply self or the conjugate of self to a matrix with rhs_ncols columns in place
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fn apply_in_place(&self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack)

applies self to rhs, and stores the result in rhs
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fn conj_apply_in_place( &self, rhs: Mat<Mut<'_, T>>, par: Par, stack: &mut MemStack, )

applies the conjugate of self to rhs, and stores the result in rhs
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impl<'short, Inner> Reborrow<'short> for SparseColMat<Inner>
where Inner: Reborrow<'short>,

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

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fn rb(&'short self) -> <SparseColMat<Inner> as Reborrow<'short>>::Target

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

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

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fn rb_mut( &'short mut self, ) -> <SparseColMat<Inner> as ReborrowMut<'short>>::Target

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impl<I, T, Rows, Cols, LT, RT, L, R> Sub<&SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Sub<&SparseColMat<R>>>::Output

Performs the - operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Sub<&SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Sub<&SparseColMat<R>>>::Output

Performs the - operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Sub<SparseColMat<R>> for &SparseColMat<L>
where 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>>,

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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>, ) -> <&SparseColMat<L> as Sub<SparseColMat<R>>>::Output

Performs the - operation. Read more
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impl<I, T, Rows, Cols, LT, RT, L, R> Sub<SparseColMat<R>> for SparseColMat<L>
where 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>>,

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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>, ) -> <SparseColMat<L> as Sub<SparseColMat<R>>>::Output

Performs the - operation. Read more
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impl<I, T, Rows, Cols, RT, L, R> SubAssign<&SparseColMat<R>> for SparseColMat<L>
where 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>>,

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

Performs the -= operation. Read more
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impl<I, T, Rows, Cols, RT, L, R> SubAssign<SparseColMat<R>> for SparseColMat<L>
where 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>>,

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

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

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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> AlignerFor<1> for T

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type Aligner = AlignTo1<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<1024> for T

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type Aligner = AlignTo1024<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<128> for T

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type Aligner = AlignTo128<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<16> for T

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type Aligner = AlignTo16<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<16384> for T

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type Aligner = AlignTo16384<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<2> for T

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type Aligner = AlignTo2<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<2048> for T

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type Aligner = AlignTo2048<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<256> for T

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type Aligner = AlignTo256<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<32> for T

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type Aligner = AlignTo32<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<32768> for T

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type Aligner = AlignTo32768<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<4> for T

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type Aligner = AlignTo4<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<4096> for T

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type Aligner = AlignTo4096<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<512> for T

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type Aligner = AlignTo512<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<64> for T

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type Aligner = AlignTo64<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<8> for T

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type Aligner = AlignTo8<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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impl<T> AlignerFor<8192> for T

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type Aligner = AlignTo8192<T>

The AlignTo* type which aligns Self to ALIGNMENT.
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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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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<C, T> CoordTranslate for T
where C: CoordTranslate, T: Deref<Target = C>,

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type From = <C as CoordTranslate>::From

Specifies the object to be translated from
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fn translate(&self, from: &<T as CoordTranslate>::From) -> (i32, i32)

Translate the guest coordinate to the guest coordinate
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fn depth(&self, _from: &Self::From) -> i32

Get the Z-value of current coordinate
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impl<T> DistributionExt for T
where T: ?Sized,

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fn rand<T>(&self, rng: &mut (impl Rng + ?Sized)) -> 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, W> HasTypeWitness<W> for T
where W: MakeTypeWitness<Arg = T>, T: ?Sized,

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const WITNESS: W = W::MAKE

A constant of the type witness
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impl<T> Identity for T
where T: ?Sized,

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const TYPE_EQ: TypeEq<T, <T as Identity>::Type> = TypeEq::NEW

Proof that Self is the same type as Self::Type, provides methods for casting between Self and Self::Type.
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type Type = T

The same type as Self, used to emulate type equality bounds (T == U) with associated type equality constraints (T: Identity<Type = U>).
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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<N, A, B> MulAcc<A, B> for N
where &'x A: for<'x> Mul<&'x B, Output = N>, N: AddAssign,

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fn mul_acc(&mut self, a: &A, b: &B)

Multiply and accumulate in this variable, formally *self += a * b.
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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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Dereferences the given pointer. Read more
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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<'a, T> RCowCompatibleRef<'a> for T
where T: Clone + 'a,

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type RefC = &'a T

The (preferably) ffi-safe equivalent of &Self.
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type ROwned = T

The owned version of Self::RefC.
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fn as_c_ref(from: &'a T) -> <T as RCowCompatibleRef<'a>>::RefC

Converts a reference to an FFI-safe type
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fn as_rust_ref(from: <T as RCowCompatibleRef<'a>>::RefC) -> &'a T

Converts an FFI-safe type to a reference
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impl<S> ROExtAcc for S

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fn f_get<F>(&self, offset: FieldOffset<S, F, Aligned>) -> &F

Gets a reference to a field, determined by offset. Read more
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fn f_get_mut<F>(&mut self, offset: FieldOffset<S, F, Aligned>) -> &mut F

Gets a muatble reference to a field, determined by offset. Read more
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fn f_get_ptr<F, A>(&self, offset: FieldOffset<S, F, A>) -> *const F

Gets a const pointer to a field, the field is determined by offset. Read more
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Gets a mutable pointer to a field, determined by offset. Read more
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impl<S> ROExtOps<Aligned> for S

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fn f_replace<F>(&mut self, offset: FieldOffset<S, F, Aligned>, value: F) -> F

Replaces a field (determined by offset) with value, returning the previous value of the field. Read more
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fn f_swap<F>(&mut self, offset: FieldOffset<S, F, Aligned>, right: &mut S)

Swaps a field (determined by offset) with the same field in right. Read more
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fn f_get_copy<F>(&self, offset: FieldOffset<S, F, Aligned>) -> F
where F: Copy,

Gets a copy of a field (determined by offset). The field is determined by offset. Read more
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impl<S> ROExtOps<Unaligned> for S

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fn f_replace<F>(&mut self, offset: FieldOffset<S, F, Unaligned>, value: F) -> F

Replaces a field (determined by offset) with value, returning the previous value of the field. Read more
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fn f_swap<F>(&mut self, offset: FieldOffset<S, F, Unaligned>, right: &mut S)

Swaps a field (determined by offset) with the same field in right. Read more
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fn f_get_copy<F>(&self, offset: FieldOffset<S, F, Unaligned>) -> F
where F: Copy,

Gets a copy of a field (determined by offset). The field is determined by offset. 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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Should always be Self
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impl<T> SelfOps for T
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fn eq_id(&self, other: &Self) -> bool

Compares the address of self with the address of other. Read more
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fn piped<F, U>(self, f: F) -> U
where F: FnOnce(Self) -> U, Self: Sized,

Emulates the pipeline operator, allowing method syntax in more places. Read more
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fn piped_ref<'a, F, U>(&'a self, f: F) -> U
where F: FnOnce(&'a Self) -> U,

The same as piped except that the function takes &Self Useful for functions that take &Self instead of Self. Read more
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fn piped_mut<'a, F, U>(&'a mut self, f: F) -> U
where F: FnOnce(&'a mut Self) -> U,

The same as piped, except that the function takes &mut Self. Useful for functions that take &mut Self instead of Self.
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fn mutated<F>(self, f: F) -> Self
where F: FnOnce(&mut Self), Self: Sized,

Mutates self using a closure taking self by mutable reference, passing it along the method chain. Read more
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fn observe<F>(self, f: F) -> Self
where F: FnOnce(&Self), Self: Sized,

Observes the value of self, passing it along unmodified. Useful in long method chains. Read more
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fn into_<T>(self) -> T
where Self: Into<T>,

Performs a conversion with Into. using the turbofish .into_::<_>() syntax. Read more
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fn as_ref_<T>(&self) -> &T
where Self: AsRef<T>, T: ?Sized,

Performs a reference to reference conversion with AsRef, using the turbofish .as_ref_::<_>() syntax. Read more
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fn as_mut_<T>(&mut self) -> &mut T
where Self: AsMut<T>, T: ?Sized,

Performs a mutable reference to mutable reference conversion with AsMut, using the turbofish .as_mut_::<_>() syntax. Read more
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fn drop_(self)
where Self: Sized,

Drops self using method notation. Alternative to std::mem::drop. Read more
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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<SS, SP> SupersetOf<SS> for SP
where SS: SubsetOf<SP>,

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fn to_subset(&self) -> Option<SS>

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more
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fn is_in_subset(&self) -> bool

Checks if self is actually part of its subset T (and can be converted to it).
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fn to_subset_unchecked(&self) -> SS

Use with care! Same as self.to_subset but without any property checks. Always succeeds.
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fn from_subset(element: &SS) -> SP

The inclusion map: converts self to the equivalent element of its superset.
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impl<SS, SP> SupersetOf<SS> for SP
where SS: SubsetOf<SP>,

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fn to_subset(&self) -> Option<SS>

The inverse inclusion map: attempts to construct self from the equivalent element of its superset. Read more
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fn is_in_subset(&self) -> bool

Checks if self is actually part of its subset T (and can be converted to it).
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unsafe fn to_subset_unchecked(&self) -> SS

Use with care! Same as self.to_subset but without any property checks. Always succeeds.
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fn from_subset(element: &SS) -> SP

The inclusion map: converts self to the equivalent element of its superset.
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type Owned = T

The resulting type after obtaining ownership.
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Creates owned data from borrowed data, usually by cloning. Read more
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impl<This> TransmuteElement for This
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unsafe fn transmute_element<T>(self) -> Self::TransmutedPtr
where Self: CanTransmuteElement<T>,

Transmutes the element type of this pointer.. Read more
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Performs the conversion.
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Performs the conversion.
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type Type = T

This is always Self.
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where Self: Sized, Self::Type: Sized,

Converts a value back to the original type.
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Converts a reference back to the original type.
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Converts a mutable reference back to the original type.
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Converts a box back to the original type.
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where Self: Sized, Self::Type: Sized,

Converts a value back to the original type.
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Converts a reference back to the original type.
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Converts a mutable reference back to the original type.
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Converts a box back to the original type.
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Converts an Arc back to the original type.
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Converts an Rc back to the original type.
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fn vzip(self) -> V

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impl<T, Right> ClosedAdd<Right> for T
where T: Add<Right, Output = T> + AddAssign<Right>,

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impl<T, Right> ClosedAdd<Right> for T
where T: Add<Right, Output = T> + AddAssign<Right>,

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impl<T, Right> ClosedAddAssign<Right> for T
where T: ClosedAdd<Right> + AddAssign<Right>,

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impl<T, Right> ClosedDiv<Right> for T
where T: Div<Right, Output = T> + DivAssign<Right>,

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impl<T, Right> ClosedDiv<Right> for T
where T: Div<Right, Output = T> + DivAssign<Right>,

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impl<T, Right> ClosedDivAssign<Right> for T
where T: ClosedDiv<Right> + DivAssign<Right>,

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impl<T, Right> ClosedMul<Right> for T
where T: Mul<Right, Output = T> + MulAssign<Right>,

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impl<T, Right> ClosedMul<Right> for T
where T: Mul<Right, Output = T> + MulAssign<Right>,

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impl<T, Right> ClosedMulAssign<Right> for T
where T: ClosedMul<Right> + MulAssign<Right>,

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impl<T> ClosedNeg for T
where T: Neg<Output = T>,

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impl<T> ClosedNeg for T
where T: Neg<Output = T>,

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impl<T, Right> ClosedSub<Right> for T
where T: Sub<Right, Output = T> + SubAssign<Right>,

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impl<T, Right> ClosedSub<Right> for T
where T: Sub<Right, Output = T> + SubAssign<Right>,

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impl<T, Right> ClosedSubAssign<Right> for T
where T: ClosedSub<Right> + SubAssign<Right>,

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impl<T> SendAlias for T

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impl<T> SyncAlias for T