Struct SparsityProfile 

pub struct SparsityProfile {
    pub rows: usize,
    pub cols: usize,
    pub nnz: usize,
    pub density: f64,
    pub is_diag_dominant: bool,
    pub estimated_spectral_radius: f64,
    pub estimated_condition: f64,
    pub is_symmetric_structure: bool,
    pub avg_nnz_per_row: f64,
    pub max_nnz_per_row: usize,
}

Sparsity profile summarising the structural and numerical properties of a matrix that are relevant for algorithm selection.

Computed once by SolverOrchestrator::analyze_sparsity and reused across multiple solves on the same matrix.

Fields

rows: usize

Number of rows.

cols: usize

Number of columns.

nnz: usize

Total number of non-zero entries.

density: f64

Fraction of non-zeros: nnz / (rows * cols).

is_diag_dominant: bool

true if |a_ii| > sum_{j != i} |a_ij| for every row.

estimated_spectral_radius: f64

Estimated spectral radius of the Jacobi iteration matrix D^{-1}(L+U).

estimated_condition: f64

Rough estimate of the 2-norm condition number.

is_symmetric_structure: bool

true if the matrix appears to be symmetric (checked on structure only).

avg_nnz_per_row: f64

Average number of non-zeros per row.

max_nnz_per_row: usize

Maximum number of non-zeros in any single row.

Trait Implementations

impl Clone for SparsityProfile

fn clone(&self) -> SparsityProfile

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparsityProfile

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

Formats the value using the given formatter.