Function sparse_jacobian 

pub fn sparse_jacobian<F>(
    func: F,
    x: &ArrayView1<'_, f64>,
    f0: Option<&Array1<f64>>,
    sparsity_pattern: Option<&CsrArray<f64>>,
    options: Option<SparseFiniteDiffOptions>,
) -> Result<CsrArray<f64>, OptimizeError>
where
    F: Fn(&ArrayView1<'_, f64>) -> Array1<f64> + Sync,

Computes a sparse Jacobian matrix using finite differences

Arguments

• func - Function to differentiate, takes ArrayView1 and returns Array1
• x - Point at which to compute the Jacobian
• f0 - Function value at x (if None, computed internally)
• sparsity_pattern - Sparse matrix indicating the known sparsity pattern (if None, dense Jacobian)
• options - Options for finite differences computation

Returns

• CsrArray<f64> - Sparse Jacobian matrix in CSR format