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deal.II version GIT relicensing-2167-g9622207b8f 2024-11-21 12:40:00+00:00
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deal.II version GIT relicensing-2167-g9622207b8f 2024-11-21 12:40:00+00:00
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#include <deal.II/sundials/kinsol.h>
Public Types | |
| enum | SolutionStrategy { newton = KIN_NONE , linesearch = KIN_LINESEARCH , fixed_point = KIN_FP , picard = KIN_PICARD } |
| enum | OrthogonalizationStrategy { modified_gram_schmidt = 0 , inverse_compact = 1 , classical_gram_schmidt = 2 , delayed_classical_gram_schmidt = 3 } |
Public Member Functions | |
| AdditionalData (const SolutionStrategy &strategy=linesearch, const unsigned int maximum_non_linear_iterations=200, const double function_tolerance=0.0, const double step_tolerance=0.0, const bool no_init_setup=false, const unsigned int maximum_setup_calls=0, const double maximum_newton_step=0.0, const double dq_relative_error=0.0, const unsigned int maximum_beta_failures=0, const unsigned int anderson_subspace_size=0, const OrthogonalizationStrategy anderson_qr_orthogonalization=modified_gram_schmidt) | |
| void | add_parameters (ParameterHandler &prm) |
Public Attributes | |
| SolutionStrategy | strategy |
| unsigned int | maximum_non_linear_iterations |
| double | function_tolerance |
| double | step_tolerance |
| bool | no_init_setup |
| unsigned int | maximum_setup_calls |
| double | maximum_newton_step |
| double | dq_relative_error |
| unsigned int | maximum_beta_failures |
| unsigned int | anderson_subspace_size |
| OrthogonalizationStrategy | anderson_qr_orthogonalization |
Additional parameters that can be passed to the KINSOL class.
| enum SUNDIALS::KINSOL::AdditionalData::SolutionStrategy |
| enum SUNDIALS::KINSOL::AdditionalData::OrthogonalizationStrategy |
Orthogonalization strategy used for fixed-point iteration with Anderson acceleration. While modified_gram_schmidt is a good default choice, it suffers from excessive communication for a growing number of acceleration vectors. Instead, the user may use one of the other strategies. For a detailed documentation consult the SUNDIALS manual.
| Enumerator | |
|---|---|
| modified_gram_schmidt | The default, stable strategy. Requires an increasing number of communication steps with increasing Anderson subspace size. |
| inverse_compact | Use a compact WY representation in the orthogonalization process of the inverse iteration with the Householder transformation. This strategy requires two communication steps and a very small linear system solve. |
| classical_gram_schmidt | Classical Gram Schmidt, that can work on multi-vectors in parallel and thus always requires three communication steps. However, it is less stable in terms of roundoff error propagation, requiring additional re-orthogonalization steps more frequently. |
| delayed_classical_gram_schmidt | Classical Gram Schmidt with delayed re-orthogonalization, which reduces the number of communication steps from three to two compared to |
| SUNDIALS::KINSOL< VectorType >::AdditionalData::AdditionalData | ( | const SolutionStrategy & | strategy = linesearch, |
| const unsigned int | maximum_non_linear_iterations = 200, |
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| const double | function_tolerance = 0.0, |
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| const double | step_tolerance = 0.0, |
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| const bool | no_init_setup = false, |
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| const unsigned int | maximum_setup_calls = 0, |
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| const double | maximum_newton_step = 0.0, |
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| const double | dq_relative_error = 0.0, |
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| const unsigned int | maximum_beta_failures = 0, |
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| const unsigned int | anderson_subspace_size = 0, |
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| const OrthogonalizationStrategy | anderson_qr_orthogonalization = modified_gram_schmidt |
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| ) |
Initialization parameters for KINSOL.
Global parameters:
| strategy | Solution strategy |
| maximum_non_linear_iterations | Maximum number of nonlinear iterations |
| function_tolerance | Function norm stopping tolerance |
| step_tolerance | Scaled step stopping tolerance |
Newton parameters:
| no_init_setup | No initial matrix setup |
| maximum_setup_calls | Maximum iterations without matrix setup |
| maximum_newton_step | Maximum allowable scaled length of the Newton step |
| dq_relative_error | Relative error for different quotient computation |
Line search parameters:
| maximum_beta_failures | Maximum number of beta-condition failures |
Fixed point and Picard parameters:
| anderson_subspace_size | Anderson acceleration subspace size |
| anderson_qr_orthogonalization | Orthogonalization strategy for QR factorization when using Anderson acceleration |
| void SUNDIALS::KINSOL< VectorType >::AdditionalData::add_parameters | ( | ParameterHandler & | prm | ) |
Add all AdditionalData() parameters to the given ParameterHandler object. When the parameters are parsed from a file, the internal parameters are automatically updated.
The following parameters are declared:
These are one-to-one with the options you can pass at construction time.
The options you pass at construction time are set as default values in the ParameterHandler object prm. You can later modify them by parsing a parameter file using prm. The values of the parameter will be updated whenever the content of prm is updated.
Make sure that this class lives longer than prm. Undefined behavior will occur if you destroy this class, and then parse a parameter file using prm.
| SolutionStrategy SUNDIALS::KINSOL< VectorType >::AdditionalData::strategy |
The solution strategy to use. If you choose SolutionStrategy::newton, SolutionStrategy::linesearch, or SolutionStrategy::picard you have to provide the function residual(). If you choose SolutionStrategy::fixed_point, you have to provide the function iteration_function().
| unsigned int SUNDIALS::KINSOL< VectorType >::AdditionalData::maximum_non_linear_iterations |
| double SUNDIALS::KINSOL< VectorType >::AdditionalData::function_tolerance |
| double SUNDIALS::KINSOL< VectorType >::AdditionalData::step_tolerance |
| bool SUNDIALS::KINSOL< VectorType >::AdditionalData::no_init_setup |
Whether an initial call to the preconditioner or Jacobian setup function should be made or not.
A call to this function is useful when solving a sequence of problems, in which the final preconditioner or Jacobian value from one problem is to be used initially for the next problem.
| unsigned int SUNDIALS::KINSOL< VectorType >::AdditionalData::maximum_setup_calls |
The maximum number of nonlinear iterations that can be performed between calls to the setup_jacobian() function.
If set to zero, default values provided by KINSOL will be used, and in practice this often means that KINSOL will re-use a Jacobian matrix computed in one iteration for later iterations.
| double SUNDIALS::KINSOL< VectorType >::AdditionalData::maximum_newton_step |
| double SUNDIALS::KINSOL< VectorType >::AdditionalData::dq_relative_error |
The relative error in computing \(F(u)\), which is used in the difference quotient approximation to the Jacobian matrix when the user does not supply a solve_with_jacobian() function.
If set to zero, default values provided by KINSOL will be used.
| unsigned int SUNDIALS::KINSOL< VectorType >::AdditionalData::maximum_beta_failures |
The maximum number of beta-condition failures in the linesearch algorithm. Only used if strategy==SolutionStrategy::linesearch.
| unsigned int SUNDIALS::KINSOL< VectorType >::AdditionalData::anderson_subspace_size |
| OrthogonalizationStrategy SUNDIALS::KINSOL< VectorType >::AdditionalData::anderson_qr_orthogonalization |
1.9.8