Expand description
Sparse numerical differentiation for large-scale optimization
This module provides functions for computing sparse Jacobians and Hessians using finite differences, designed for large-scale optimization problems.
Re-exports§
pub use self::finite_diff::SparseFiniteDiffOptions;
pub use self::hessian::sparse_hessian;
pub use self::jacobian::sparse_jacobian;
Modules§
- coloring
- Graph coloring algorithms for efficient sparse differentiation
- compression
- Compression techniques for sparse matrices in numerical differentiation
- finite_
diff - Finite difference methods for sparse numerical differentiation
- hessian
- Sparse Hessian computation using finite differences
- jacobian
- Sparse Jacobian computation using finite differences