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Ginkgo
Generated from pipelines/1589998975 branch based on develop. Ginkgo version 1.10.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
6 #define GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
11 #include <ginkgo/core/base/composition.hpp>
12 #include <ginkgo/core/base/lin_op.hpp>
13 #include <ginkgo/core/base/types.hpp>
14 #include <ginkgo/core/config/config.hpp>
15 #include <ginkgo/core/config/registry.hpp>
16 #include <ginkgo/core/factorization/incomplete_factorization.hpp>
17 #include <ginkgo/core/matrix/csr.hpp>
26 namespace factorization {
47 using value_type = ValueType;
48 using index_type = IndexType;
51 std::shared_ptr<const matrix_type> get_l_factor()
const
54 return std::static_pointer_cast<const matrix_type>(
58 std::shared_ptr<const matrix_type> get_u_factor()
const
61 return std::static_pointer_cast<const matrix_type>(
67 template <
typename... Args>
68 static std::unique_ptr<Composition<ValueType>> create(Args&&... args) =
77 std::shared_ptr<typename matrix_type::strategy_type>
84 std::shared_ptr<typename matrix_type::strategy_type>
107 algorithm, incomplete_algorithm::sparselib);
125 static parameters_type
parse(
128 config::make_type_descriptor<ValueType, IndexType>());
131 Ilu(
const Factory* factory, std::shared_ptr<const gko::LinOp> system_matrix)
133 parameters_{factory->get_parameters()}
137 std::make_shared<typename matrix_type::classical>();
141 std::make_shared<typename matrix_type::classical>();
143 generate_l_u(system_matrix, parameters_.
skip_sorting)->move_to(
this);
161 std::unique_ptr<Composition<ValueType>> generate_l_u(
162 const std::shared_ptr<const LinOp>& system_matrix,
163 bool skip_sorting)
const;
171 #endif // GKO_PUBLIC_CORE_FACTORIZATION_ILU_HPP_
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:28
pnode describes a tree of properties.
Definition: property_tree.hpp:28
static parameters_type parse(const config::pnode &config, const config::registry &context, const config::type_descriptor &td_for_child=config::make_type_descriptor< ValueType, IndexType >())
Create the parameters from the property_tree.
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:445
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
The Composition class can be used to compose linear operators op1, op2, ..., opn and obtain the opera...
Definition: composition.hpp:39
std::shared_ptr< typename matrix_type::strategy_type > u_strategy
Strategy which will be used by the U matrix.
Definition: ilu.hpp:85
#define GKO_ENABLE_LIN_OP_FACTORY(_lin_op, _parameters_name, _factory_name)
This macro will generate a default implementation of a LinOpFactory for the LinOp subclass it is defi...
Definition: lin_op.hpp:1017
const std::vector< std::shared_ptr< const LinOp > > & get_operators() const noexcept
Returns a list of operators of the composition.
Definition: composition.hpp:54
double default_precision
Precision used if no precision is explicitly specified.
Definition: types.hpp:171
std::int32_t int32
32-bit signed integral type.
Definition: types.hpp:106
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
#define GKO_ENABLE_BUILD_METHOD(_factory_name)
Defines a build method for the factory, simplifying its construction by removing the repetitive typin...
Definition: abstract_factory.hpp:394
#define GKO_CREATE_FACTORY_PARAMETERS(_parameters_name, _factory_name)
This Macro will generate a new type containing the parameters for the factory _factory_name.
Definition: abstract_factory.hpp:280
std::shared_ptr< typename matrix_type::strategy_type > l_strategy
Strategy which will be used by the L matrix.
Definition: ilu.hpp:78
bool skip_sorting
The system_matrix, which will be given to this factory, must be sorted (first by row,...
Definition: ilu.hpp:97
incomplete_algorithm
An enum class for algorithm selection in the incomplete factorization.
Definition: incomplete_factorization.hpp:19
Represents an incomplete LU factorization – ILU(0) – of a sparse matrix.
Definition: ilu.hpp:45