Struct SparseMatrixView 

pub struct SparseMatrixView<T> {
    pub rows: usize,
    pub cols: usize,
    pub indptr: Vec<usize>,
    pub indices: Vec<usize>,
    pub data: Vec<T>,
}

A simple view struct for sparse matrices in CSR format

This struct provides a simple interface to view a sparse matrix in CSR format. It is designed to be compatible with the CSR format used in scirs2-sparse.

Fields

rows: usize

Number of rows

cols: usize

Number of columns

indptr: Vec<usize>

Row pointers (size rows+1)

indices: Vec<usize>

Column indices

data: Vec<T>

Data values

Implementations

impl<T> SparseMatrixView<T>

where T: Clone + Copy + Debug + Zero,

pub fn new( data: Vec<T>, indptr: Vec<usize>, indices: Vec<usize>, shape: (usize, usize), ) -> LinalgResult<Self>

Create a new CSR sparse matrix view

Arguments

• data - Vector of non-zero values
• indptr - Vector of row pointers (size rows+1)
• indices - Vector of column indices
• shape - Tuple containing the matrix dimensions (rows, cols)

Returns

A new sparse matrix view

pub fn shape(&self) -> (usize, usize)

Get the shape of the matrix

pub fn nnz(&self) -> usize

Get the number of non-zero elements in the matrix

pub fn nrows(&self) -> usize

Get the number of rows

pub fn ncols(&self) -> usize

Get the number of columns

pub fn is_empty(&self) -> bool

Check if the matrix is empty

pub fn to_dense(&self) -> Array2<T>

Convert the sparse matrix to a dense ndarray

Trait Implementations

impl<T: Clone> Clone for SparseMatrixView<T>

fn clone(&self) -> SparseMatrixView<T>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<T: Debug> Debug for SparseMatrixView<T>

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

Formats the value using the given formatter.

impl<T> SparseLinalg<T> for SparseMatrixView<T>

where T: Float + Clone + Copy + Debug + Zero + Add<Output = T> + Sub<Output = T> + Mul<Output = T> + PartialOrd + Sum + ScalarOperand + NumAssign + Send + Sync,

Blanket implementation for SparseMatrixView

fn shape(&self) -> (usize, usize)

Get matrix dimensions

fn nnz(&self) -> usize

Get number of non-zero elements

fn to_csr(&self) -> LinalgResult<SparseMatrixView<T>>

Convert to CSR format for interoperability

fn matvec(&self, x: &ArrayView1<'_, T>) -> LinalgResult<Array1<T>>

Matrix-vector multiplication

fn solve(&self, b: &ArrayView1<'_, T>) -> LinalgResult<Array1<T>>

Solve linear system Ax = b

fn stats(&self) -> SparseMatrixStats

Get sparsity statistics