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Implicit methods for solving PDEs
This module provides implementations of implicit time-stepping schemes for solving partial differential equations (PDEs). Implicit methods are generally more stable than explicit methods and can handle stiff problems more efficiently.
§Supported Methods
- Crank-Nicolson method: A second-order implicit method that is A-stable
- Backward Euler method: A first-order fully implicit method that is L-stable
- Trapezoidal rule: A second-order implicit method
- Alternating Direction Implicit (ADI) method: An efficient operator splitting method for multi-dimensional problems
Structs§
- ADI2D
- ADI solver for 2D parabolic PDEs
- ADIResult
- Result of ADI method solution
- Backward
Euler1D - Backward Euler solver for 1D parabolic PDEs
- Crank
Nicolson1D - Crank-Nicolson solver for 1D parabolic PDEs
- Implicit
Options - Options for implicit PDE solvers
- Implicit
Result - Result of implicit method solution
Enums§
- Implicit
Method - Available implicit time-stepping schemes