Struct SparseMatrix 

pub struct SparseMatrix {
    pub shape: (usize, usize),
    pub format: SparseFormat,
    pub row_ptr: Vec<usize>,
    pub col_indices: Vec<usize>,
    pub values: Vec<Complex64>,
    pub nnz: usize,
    pub is_hermitian: bool,
    pub is_positive_definite: bool,
}

Sparse matrix representation

Fields

shape: (usize, usize)

Matrix dimensions

format: SparseFormat

Storage format

row_ptr: Vec<usize>

Row indices (for CSR)

col_indices: Vec<usize>

Column indices

values: Vec<Complex64>

Matrix values

nnz: usize

Number of non-zero elements

is_hermitian: bool

Is Hermitian

is_positive_definite: bool

Is positive definite

Implementations

impl SparseMatrix

pub const fn new(shape: (usize, usize), format: SparseFormat) -> Self

Create new sparse matrix

pub fn from_csr( shape: (usize, usize), row_ptr: Vec<usize>, col_indices: Vec<usize>, values: Vec<Complex64>, ) -> Self

Create from CSR format

pub fn identity(n: usize) -> Self

Create identity matrix

pub fn matvec(&self, x: &Array1<Complex64>) -> Result<Array1<Complex64>>

Matrix-vector multiplication

pub fn density(&self) -> f64

Get matrix density (nnz / total_elements)

pub const fn is_square(&self) -> bool

Check if matrix is square

pub fn to_dense(&self) -> Result<Array2<Complex64>>

Convert to dense matrix (for small matrices only)

Trait Implementations

impl Clone for SparseMatrix

fn clone(&self) -> SparseMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrix

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

Formats the value using the given formatter.