Module sparse 

Available on crate feature bytecode only.

Sparse derivative computation via structural sparsity detection and graph coloring.

Provides sparsity detection for both Jacobians (JacobianSparsityPattern) and Hessians (SparsityPattern), plus graph coloring algorithms for compressed evaluation.

Structs

CsrPattern

Compressed Sparse Row (CSR) format for sparse matrices.

JacobianSparsityPattern

Sparsity pattern for a Jacobian matrix (non-symmetric, general m x n).

SparsityPattern

Symmetric sparsity pattern in COO format (lower triangle + diagonal).

Functions

column_coloring

Column coloring for forward-mode Jacobian compression.

greedy_coloring

Greedy graph coloring for symmetric sparse Hessian recovery.

row_coloring

Row coloring for reverse-mode Jacobian compression.