Ginkgo  Generated from pipelines/1589998975 branch based on develop. Ginkgo version 1.10.0
A numerical linear algebra library targeting many-core architectures
lu.hpp
1 // SPDX-FileCopyrightText: 2017 - 2024 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #include <memory>
6 
7 #include <ginkgo/core/base/composition.hpp>
8 #include <ginkgo/core/base/lin_op.hpp>
9 #include <ginkgo/core/base/polymorphic_object.hpp>
10 #include <ginkgo/core/config/config.hpp>
11 #include <ginkgo/core/config/registry.hpp>
12 #include <ginkgo/core/factorization/factorization.hpp>
13 #include <ginkgo/core/matrix/csr.hpp>
14 #include <ginkgo/core/matrix/sparsity_csr.hpp>
15 
16 
17 namespace gko {
18 namespace experimental {
19 namespace factorization {
20 
21 
22 enum class symbolic_type {
24  general,
30  near_symmetric,
37  symmetric
38 };
39 
40 
53 template <typename ValueType, typename IndexType>
54 class Lu
55  : public EnablePolymorphicObject<Lu<ValueType, IndexType>, LinOpFactory>,
56  public EnablePolymorphicAssignment<Lu<ValueType, IndexType>> {
57 public:
58  struct parameters_type;
61 
62  using value_type = ValueType;
63  using index_type = IndexType;
67 
69  : public enable_parameters_type<parameters_type, Lu> {
78  std::shared_ptr<const sparsity_pattern_type>
80 
89  symbolic_type::general);
90 
102  };
103 
109  const parameters_type& get_parameters() { return parameters_; }
110 
114  const parameters_type& get_parameters() const { return parameters_; }
115 
123  std::unique_ptr<factorization_type> generate(
124  std::shared_ptr<const LinOp> system_matrix) const;
125 
127  static parameters_type build() { return {}; }
128 
142  static parameters_type parse(
143  const config::pnode& config, const config::registry& context,
144  const config::type_descriptor& td_for_child =
145  config::make_type_descriptor<ValueType, IndexType>());
146 
147 protected:
148  explicit Lu(std::shared_ptr<const Executor> exec,
149  const parameters_type& params = {});
150 
151  std::unique_ptr<LinOp> generate_impl(
152  std::shared_ptr<const LinOp> system_matrix) const override;
153 
154 private:
155  parameters_type parameters_;
156 };
157 
158 
159 } // namespace factorization
160 } // namespace experimental
161 } // namespace gko
gko::experimental::factorization::Factorization
Represents a generic factorization consisting of two triangular factors (upper and lower) and an opti...
Definition: factorization.hpp:76
gko::matrix::Csr
CSR is a matrix format which stores only the nonzero coefficients by compressing each row of the matr...
Definition: matrix.hpp:28
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::matrix::SparsityCsr
SparsityCsr is a matrix format which stores only the sparsity pattern of a sparse matrix by compressi...
Definition: csr.hpp:40
gko::experimental::factorization::Lu::parameters_type::symbolic_algorithm
symbolic_type symbolic_algorithm
If the symbolic factorization of the matrix is not provided to the factory, this parameter controls w...
Definition: lu.hpp:89
gko::experimental::factorization::Lu::parameters_type::skip_sorting
bool skip_sorting
The system_matrix, which will be given to this factory, must be sorted (first by row,...
Definition: lu.hpp:101
gko::EnablePolymorphicAssignment
This mixin is used to enable a default PolymorphicObject::copy_from() implementation for objects that...
Definition: polymorphic_object.hpp:743
GKO_FACTORY_PARAMETER_SCALAR
#define GKO_FACTORY_PARAMETER_SCALAR(_name, _default)
Creates a scalar factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:445
gko::config::type_descriptor
This class describes the value and index types to be used when building a Ginkgo type from a configur...
Definition: type_descriptor.hpp:39
gko
The Ginkgo namespace.
Definition: abstract_factory.hpp:20
gko::experimental::factorization::Lu::get_parameters
const parameters_type & get_parameters()
Returns the parameters used to construct the factory.
Definition: lu.hpp:109
gko::experimental::factorization::Lu::generate
std::unique_ptr< factorization_type > generate(std::shared_ptr< const LinOp > system_matrix) const
gko::experimental::factorization::Lu::get_parameters
const parameters_type & get_parameters() const
Returns the parameters used to construct the factory.
Definition: lu.hpp:114
gko::experimental::factorization::Lu::build
static parameters_type build()
Creates a new parameter_type to set up the factory.
Definition: lu.hpp:127
gko::experimental::factorization::Lu::parse
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.
gko::experimental::factorization::Lu
Computes an LU factorization of a sparse matrix.
Definition: lu.hpp:54
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
gko::experimental::factorization::Lu::parameters_type::symbolic_factorization
std::shared_ptr< const sparsity_pattern_type > symbolic_factorization
The combined sparsity pattern L + U of the factors L and U.
Definition: lu.hpp:79
gko::LinOpFactory
A LinOpFactory represents a higher order mapping which transforms one linear operator into another.
Definition: lin_op.hpp:384
gko::enable_parameters_type
The enable_parameters_type mixin is used to create a base implementation of the factory parameters st...
Definition: abstract_factory.hpp:211
gko::experimental::factorization::Lu::parameters_type
Definition: lu.hpp:68
gko::EnablePolymorphicObject
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:667