Struct SparseMatrix 

pub struct SparseMatrix {
    pub row_indices: Vec<usize>,
    pub col_indices: Vec<usize>,
    pub values: Vec<Float>,
    pub shape: (usize, usize),
    pub nnz: usize,
}

Sparse matrix representation (COO format)

Fields

row_indices: Vec<usize>

Row indices

col_indices: Vec<usize>

Column indices

values: Vec<Float>

Non-zero values

shape: (usize, usize)

Matrix shape (rows, cols)

nnz: usize

Number of non-zero elements

Implementations

impl SparseMatrix

pub fn new( row_indices: Vec<usize>, col_indices: Vec<usize>, values: Vec<Float>, shape: (usize, usize), ) -> Result<Self>

Create new sparse matrix in COO format

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

Convert to dense Array2

pub fn from_dense(array: &Array2<Float>, threshold: Float) -> Self

Create sparse matrix from dense array

pub fn sparsity(&self) -> Float

Get sparsity ratio (fraction of zero elements)

pub fn transpose(&self) -> Self

Transpose sparse matrix

Trait Implementations

impl Clone for SparseMatrix

fn clone(&self) -> Self

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.

impl<'de> Deserialize<'de> for SparseMatrix

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for SparseMatrix

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.