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Ginkgo
Generated from pipelines/1556235455 branch based on develop. Ginkgo version 1.9.0
A numerical linear algebra library targeting many-core architectures
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5 #ifndef GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
11 #include <ginkgo/core/base/array.hpp>
12 #include <ginkgo/core/base/exception_helpers.hpp>
13 #include <ginkgo/core/base/lin_op.hpp>
14 #include <ginkgo/core/base/math.hpp>
15 #include <ginkgo/core/base/types.hpp>
16 #include <ginkgo/core/config/config.hpp>
17 #include <ginkgo/core/config/registry.hpp>
18 #include <ginkgo/core/log/logger.hpp>
19 #include <ginkgo/core/matrix/dense.hpp>
20 #include <ginkgo/core/matrix/identity.hpp>
21 #include <ginkgo/core/solver/solver_base.hpp>
22 #include <ginkgo/core/stop/combined.hpp>
23 #include <ginkgo/core/stop/criterion.hpp>
43 template <
typename ValueType = default_precision>
52 using value_type = ValueType;
55 std::unique_ptr<LinOp>
transpose()
const override;
70 parameters_type, Factory> {};
91 config::make_type_descriptor<ValueType>());
94 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
96 template <
typename VectorType>
97 void apply_dense_impl(
const VectorType* b, VectorType* x)
const;
100 LinOp* x)
const override;
102 explicit Cgs(std::shared_ptr<const Executor> exec)
107 std::shared_ptr<const LinOp> system_matrix)
111 std::move(system_matrix), factory->get_parameters()},
112 parameters_{factory->get_parameters()}
117 template <
typename ValueType>
121 static int num_vectors(
const Solver&);
123 static int num_arrays(
const Solver&);
125 static std::vector<std::string> op_names(
const Solver&);
127 static std::vector<std::string> array_names(
const Solver&);
129 static std::vector<int> scalars(
const Solver&);
131 static std::vector<int> vectors(
const Solver&);
134 constexpr
static int r = 0;
136 constexpr
static int r_tld = 1;
138 constexpr
static int p = 2;
140 constexpr
static int q = 3;
142 constexpr
static int u = 4;
144 constexpr
static int u_hat = 5;
146 constexpr
static int v_hat = 6;
148 constexpr
static int t = 7;
150 constexpr
static int alpha = 8;
152 constexpr
static int beta = 9;
154 constexpr
static int gamma = 10;
156 constexpr
static int prev_rho = 11;
158 constexpr
static int rho = 12;
160 constexpr
static int one = 13;
162 constexpr
static int minus_one = 14;
165 constexpr
static int stop = 0;
167 constexpr
static int tmp = 1;
175 #endif // GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
pnode describes a tree of properties.
Definition: property_tree.hpp:28
Definition: lin_op.hpp:117
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:433
Definition: solver_base.hpp:839
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
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
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
#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
static parameters_type parse(const config::pnode &config, const config::registry &context, const config::type_descriptor &td_for_child=config::make_type_descriptor< ValueType >())
Create the parameters from the property_tree.
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
bool apply_uses_initial_guess() const override
Return true as iterative solvers use the data in x as an initial guess.
Definition: cgs.hpp:64
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition: polymorphic_object.hpp:234
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:238
const dim< 2 > & get_size() const noexcept
Returns the size of the operator.
Definition: lin_op.hpp:210
CGS or the conjugate gradient square method is an iterative type Krylov subspace method which is suit...
Definition: cgs.hpp:44
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition: lin_op.hpp:877
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:784
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:652
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition: polymorphic_object.hpp:661