Struct SymbolicSparseRowMatRef

pub struct SymbolicSparseRowMatRef<'a, I> { /* private fields */ }

Symbolic view structure of sparse matrix in row format, either compressed or uncompressed.

Requires:

• nrows <= I::Signed::MAX (always checked)

• ncols <= I::Signed::MAX (always checked)

• row_ptrs has length nrows + 1 (always checked)

• row_ptrs is non-decreasing

• row_ptrs[0]..row_ptrs[nrows] is a valid range in row_indices (always checked, assuming non-decreasing)

• if nnz_per_row is None, elements of col_indices[row_ptrs[i]..row_ptrs[i + 1]] are less than ncols

• nnz_per_row[i] <= row_ptrs[i+1] - row_ptrs[i]

• if nnz_per_row is Some(_), elements of col_indices[row_ptrs[i]..][..nnz_per_row[i]] are less than ncols

• Within each row, column indices are unique and sorted in increasing order.

Note

Some algorithms allow working with matrices containing duplicate and/or unsorted column indicers per row.

Passing such a matrix to an algorithm that does not explicitly permit this is unspecified (though not undefined) behavior.

Implementations

impl<'a, I: Index> SymbolicSparseRowMatRef<'a, I>

pub fn new_checked( nrows: usize, ncols: usize, row_ptrs: &'a [I], nnz_per_row: Option<&'a [I]>, col_indices: &'a [I], ) -> Self

Creates a new symbolic matrix view after asserting its invariants.

Panics

See type level documentation.

pub fn new_unsorted_checked( nrows: usize, ncols: usize, row_ptrs: &'a [I], nnz_per_row: Option<&'a [I]>, col_indices: &'a [I], ) -> Self

Creates a new symbolic matrix view from data containing duplicate and/or unsorted column indices per row, after asserting its other invariants.

Panics

See type level documentation.

pub unsafe fn new_unchecked( nrows: usize, ncols: usize, row_ptrs: &'a [I], nnz_per_row: Option<&'a [I]>, col_indices: &'a [I], ) -> Self

Creates a new symbolic matrix view without asserting its invariants.

Safety

See type level documentation.

pub fn nrows(&self) -> usize

Returns the number of rows of the matrix.

pub fn ncols(&self) -> usize

Returns the number of columns of the matrix.

pub fn transpose(self) -> SymbolicSparseColMatRef<'a, I>

Returns a view over the transpose of self in column-major format.

pub fn to_owned(&self) -> Result<SymbolicSparseRowMat<I>, FaerError>

Copies the current matrix into a newly allocated matrix.

Note

Allows unsorted matrices, producing an unsorted output.

pub fn to_col_major(&self) -> Result<SymbolicSparseColMat<I>, FaerError>

Copies the current matrix into a newly allocated matrix, with column-major order.

Note

Allows unsorted matrices, producing a sorted output. Duplicate entries are kept, however.

pub fn compute_nnz(&self) -> usize

Returns the number of symbolic non-zeros in the matrix.

The value is guaranteed to be less than I::Signed::MAX.

Note

Allows unsorted matrices, but the output is a count of all the entries, including the duplicate ones.

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

Returns the column pointers.

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

Returns the count of non-zeros per column of the matrix.

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

Returns the column indices.

pub fn col_indices_of_row_raw(&self, i: usize) -> &'a [I]

Returns the column indices of row i.

Panics

Panics if i >= self.nrows().

pub fn col_indices_of_row( &self, i: usize, ) -> impl 'a + ExactSizeIterator + DoubleEndedIterator<Item = usize>

Returns the column indices of row i.

Panics

Panics if i >= self.ncols().

pub fn row_range(&self, i: usize) -> Range<usize>

Returns the range that the row i occupies in self.col_indices().

Panics

Panics if i >= self.nrows().

pub unsafe fn row_range_unchecked(&self, i: usize) -> Range<usize>

Returns the range that the row i occupies in self.col_indices().

Safety

The behavior is undefined if i >= self.nrows().

Trait Implementations

impl<I> Clone for SymbolicSparseRowMatRef<'_, I>

fn clone(&self) -> Self

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<I: Index> Debug for SymbolicSparseRowMatRef<'_, I>

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

Formats the value using the given formatter.

impl<I> Copy for SymbolicSparseRowMatRef<'_, I>