5#ifndef GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
6#define GKO_PUBLIC_CORE_SOLVER_CGS_HPP_
12#include <ginkgo/core/base/array.hpp>
13#include <ginkgo/core/base/exception_helpers.hpp>
14#include <ginkgo/core/base/lin_op.hpp>
15#include <ginkgo/core/base/math.hpp>
16#include <ginkgo/core/base/types.hpp>
17#include <ginkgo/core/log/logger.hpp>
18#include <ginkgo/core/matrix/dense.hpp>
19#include <ginkgo/core/matrix/identity.hpp>
20#include <ginkgo/core/solver/solver_base.hpp>
21#include <ginkgo/core/stop/combined.hpp>
22#include <ginkgo/core/stop/criterion.hpp>
42template <
typename ValueType = default_precision>
51 using value_type = ValueType;
69 parameters_type, Factory> {};
75 void apply_impl(
const LinOp* b,
LinOp* x)
const override;
77 template <
typename VectorType>
81 LinOp* x)
const override;
83 explicit Cgs(std::shared_ptr<const Executor> exec)
88 std::shared_ptr<const LinOp> system_matrix)
92 std::move(system_matrix), factory->get_parameters()},
93 parameters_{factory->get_parameters()}
98template <
typename ValueType>
102 static int num_vectors(
const Solver&);
104 static int num_arrays(
const Solver&);
106 static std::vector<std::string> op_names(
const Solver&);
108 static std::vector<std::string> array_names(
const Solver&);
110 static std::vector<int> scalars(
const Solver&);
112 static std::vector<int> vectors(
const Solver&);
115 constexpr static int r = 0;
117 constexpr static int r_tld = 1;
119 constexpr static int p = 2;
121 constexpr static int q = 3;
123 constexpr static int u = 4;
125 constexpr static int u_hat = 5;
127 constexpr static int v_hat = 6;
129 constexpr static int t = 7;
131 constexpr static int alpha = 8;
133 constexpr static int beta = 9;
135 constexpr static int gamma = 10;
137 constexpr static int prev_rho = 11;
139 constexpr static int rho = 12;
141 constexpr static int one = 13;
143 constexpr static int minus_one = 14;
146 constexpr static int stop = 0;
148 constexpr static int tmp = 1;
The EnableLinOp mixin can be used to provide sensible default implementations of the majority of the ...
Definition lin_op.hpp:880
This mixin inherits from (a subclass of) PolymorphicObject and provides a base implementation of a ne...
Definition polymorphic_object.hpp:663
Definition lin_op.hpp:118
std::shared_ptr< const Executor > get_executor() const noexcept
Returns the Executor of the object.
Definition polymorphic_object.hpp:235
Linear operators which support transposition should implement the Transposable interface.
Definition lin_op.hpp:434
CGS or the conjugate gradient square method is an iterative type Krylov subspace method which is suit...
Definition cgs.hpp:46
bool apply_uses_initial_guess() const override
Return true as iterative solvers use the data in x as an initial guess.
Definition cgs.hpp:63
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition solver_base.hpp:788
#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_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:1018
The Ginkgo namespace.
Definition abstract_factory.hpp:20
constexpr T one()
Returns the multiplicative identity for T.
Definition math.hpp:775
Definition solver_base.hpp:841
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition solver_base.hpp:239