Module methods 

Methods for solving Differential Algebraic Equations (DAEs)

This module provides the implementation of numerical methods for solving DAE systems. The methods are organized based on the type of DAE system they are designed to solve:

• Backward Differentiation Formula (BDF) methods for stiff DAEs
• Specialized methods for semi-explicit DAEs
• Specialized methods for fully implicit DAEs
• Index reduction techniques combined with BDF methods for higher-index DAEs
• Krylov subspace methods for large DAE systems
• Block-structured preconditioners for improving Krylov method performance

Re-exports

pub use self::bdf_dae::bdf_implicit_dae;

pub use self::bdf_dae::bdf_semi_explicit_dae;

pub use self::index_reduction_bdf::bdf_implicit_with_index_reduction;

pub use self::index_reduction_bdf::bdf_with_index_reduction;

pub use self::krylov_dae::krylov_bdf_implicit_dae;

pub use self::krylov_dae::krylov_bdf_semi_explicit_dae;

pub use self::block_precond::create_block_ilu_preconditioner;

pub use self::block_precond::create_block_jacobi_preconditioner;

Modules

bdf_dae

BDF Methods for DAE Systems

block_precond

Block-structured Preconditioners for DAE Systems

index_reduction_bdf

Index Reduction BDF Methods for DAE Systems

krylov_dae

Krylov Subspace Methods for Large DAE Systems