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Ginkgo
Generated from pipelines/2662685947 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
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The ResidualNorm class is a stopping criterion which stops the iteration process when the actual residual norm is below a certain threshold relative to. More...
#include <ginkgo/core/stop/residual_norm.hpp>
Classes | |
| class | Factory |
| struct | parameters_type |
Public Types | |
| using | ComplexVector = matrix::Dense< to_complex< ValueType > > |
| using | NormVector = matrix::Dense< remove_complex< ValueType > > |
| using | Vector = matrix::Dense< ValueType > |
Public Member Functions | |
| const parameters_type & | get_parameters () const |
Public Member Functions inherited from gko::stop::Criterion | |
| Updater | update () |
| Returns the updater object. More... | |
| bool | check (uint8 stopping_id, bool set_finalized, array< stopping_status > *stop_status, bool *one_changed, const Updater &updater) |
| This checks whether convergence was reached for a certain criterion. More... | |
Public Member Functions inherited from gko::PolymorphicObject | |
| PolymorphicObject & | operator= (const PolymorphicObject &) |
| std::shared_ptr< const Executor > | get_executor () const noexcept |
| Returns the Executor of the object. More... | |
Public Member Functions inherited from gko::log::EnableLogging< PolymorphicObject > | |
| void | add_logger (std::shared_ptr< const Logger > logger) override |
| void | remove_logger (const Logger *logger) override |
| void | remove_logger (ptr_param< const Logger > logger) |
| const std::vector< std::shared_ptr< const Logger > > & | get_loggers () const override |
| void | clear_loggers () override |
Public Member Functions inherited from gko::log::Loggable | |
| void | remove_logger (ptr_param< const Logger > logger) |
Static Public Member Functions | |
| static auto | build () -> decltype(Factory ::create()) |
The ResidualNorm class is a stopping criterion which stops the iteration process when the actual residual norm is below a certain threshold relative to.
< threshold * norm(right_hand_side).
threshold * norm(initial_residual).
threshold.For better performance, the checks are run on the executor where the algorithm is executed.
b or the initial_residual in order to compute their norms. If this is not correctly provided, an exception ::gko::NotSupported() is thrown.
1.8.16