Ginkgo  Generated from pipelines/2662685947 branch based on develop. Ginkgo version 2.0.0
A numerical linear algebra library targeting many-core architectures
chebyshev.hpp
1 // SPDX-FileCopyrightText: 2025 - 2026 The Ginkgo authors
2 //
3 // SPDX-License-Identifier: BSD-3-Clause
4 
5 #ifndef GKO_PUBLIC_CORE_SOLVER_CHEBYSHEV_HPP_
6 #define GKO_PUBLIC_CORE_SOLVER_CHEBYSHEV_HPP_
7 
8 
9 #include <vector>
10 
11 #include <ginkgo/core/base/exception_helpers.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/matrix/dense.hpp>
17 #include <ginkgo/core/matrix/identity.hpp>
18 #include <ginkgo/core/solver/solver_base.hpp>
19 #include <ginkgo/core/stop/combined.hpp>
20 #include <ginkgo/core/stop/criterion.hpp>
21 #include <ginkgo/core/stop/iteration.hpp>
22 
23 
24 namespace gko {
25 namespace solver {
26 namespace detail {
27 
28 
29 template <typename T>
30 using coeff_type =
31  std::conditional_t<is_complex<T>(), std::complex<double>, double>;
32 
33 
34 }
35 
61 template <typename ValueType = default_precision>
62 class Chebyshev final
63  : public LinOp,
64  public EnablePreconditionedIterativeSolver<ValueType,
65  Chebyshev<ValueType>>,
66  public EnableApplyWithInitialGuess<Chebyshev<ValueType>>,
67  public Transposable {
69  GKO_ASSERT_SUPPORTED_VALUE_TYPE;
70 
71 public:
72  using value_type = ValueType;
74 
75  std::unique_ptr<LinOp> transpose() const override;
76 
77  std::unique_ptr<LinOp> conj_transpose() const override;
78 
84  bool apply_uses_initial_guess() const override
85  {
86  return this->get_default_initial_guess() ==
88  }
89 
96  Chebyshev& operator=(const Chebyshev&);
97 
106 
111  Chebyshev(const Chebyshev&);
112 
119  Chebyshev(Chebyshev&&);
120 
121  class Factory;
122 
125  parameters_type, Factory> {
133  std::pair<detail::coeff_type<value_type>,
134  detail::coeff_type<value_type>>
136  detail::coeff_type<value_type>{0},
137  detail::coeff_type<value_type>{1});
138 
145  };
146 
149 
163  static parameters_type parse(const config::pnode& config,
164  const config::registry& context,
165  const config::type_descriptor& td_for_child =
166  config::make_type_descriptor<ValueType>());
167 
168 protected:
169  void apply_impl(const LinOp* b, LinOp* x) const override;
170 
171  template <typename VectorType>
172  void apply_dense_impl(const VectorType* b, VectorType* x,
173  initial_guess_mode guess) const;
174 
175  void apply_impl(const LinOp* alpha, const LinOp* b, const LinOp* beta,
176  LinOp* x) const override;
177 
178  void apply_with_initial_guess_impl(const LinOp* b, LinOp* x,
179  initial_guess_mode guess) const override;
180 
181  void apply_with_initial_guess_impl(const LinOp* alpha, const LinOp* b,
182  const LinOp* beta, LinOp* x,
183  initial_guess_mode guess) const override;
184 
185  explicit Chebyshev(std::shared_ptr<const Executor> exec);
186 
187  explicit Chebyshev(const Factory* factory,
188  std::shared_ptr<const LinOp> system_matrix);
189 
190 private:
191  std::shared_ptr<const LinOp> solver_{};
192  detail::coeff_type<value_type> center_;
193  detail::coeff_type<value_type> foci_direction_;
194 };
195 
196 
197 template <typename ValueType>
198 struct workspace_traits<Chebyshev<ValueType>> {
200  // number of vectors used by this workspace
201  static int num_vectors(const Solver&);
202  // number of arrays used by this workspace
203  static int num_arrays(const Solver&);
204  // array containing the num_vectors names for the workspace vectors
205  static std::vector<std::string> op_names(const Solver&);
206  // array containing the num_arrays names for the workspace vectors
207  static std::vector<std::string> array_names(const Solver&);
208  // array containing all varying scalar vectors (independent of problem size)
209  static std::vector<int> scalars(const Solver&);
210  // array containing all varying vectors (dependent on problem size)
211  static std::vector<int> vectors(const Solver&);
212 
213  // residual vector
214  constexpr static int residual = 0;
215  // inner solution vector
216  constexpr static int inner_solution = 1;
217  // update solution
218  constexpr static int update_solution = 2;
219  // constant 1.0 scalar
220  constexpr static int one = 3;
221  // constant -1.0 scalar
222  constexpr static int minus_one = 4;
223 
224  // stopping status array
225  constexpr static int stop = 0;
226 };
227 
228 
229 } // namespace solver
230 } // namespace gko
231 
232 
233 #endif // GKO_PUBLIC_CORE_SOLVER_CHEBYSHEV_HPP_
gko::solver::Chebyshev
Chebyshev iteration is an iterative method for solving nonsymmetric problems based on some knowledge ...
Definition: chebyshev.hpp:62
gko::solver::Chebyshev::parameters_type::foci
std::pair< detail::coeff_type< value_type >, detail::coeff_type< value_type > > foci
The pair of foci of ellipse, which covers the eigenvalues of preconditioned system.
Definition: chebyshev.hpp:137
gko::solver::EnableApplyWithInitialGuess
EnableApplyWithInitialGuess providing default operation for ApplyWithInitialGuess with correct valida...
Definition: solver_base.hpp:161
gko::solver::Chebyshev::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 >())
Create the parameters from the property_tree.
gko::config::pnode
pnode describes a tree of properties.
Definition: property_tree.hpp:28
gko::log::profile_event_category::solver
Solver events.
gko::LinOp
Definition: lin_op.hpp:117
gko::Transposable
Linear operators which support transposition should implement the Transposable interface.
Definition: lin_op.hpp:392
gko::solver::Chebyshev::operator=
Chebyshev & operator=(const Chebyshev &)
Copy-assigns a Chebyshev solver.
gko::solver::enable_preconditioned_iterative_solver_factory_parameters
Definition: solver_base.hpp:855
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:437
gko::solver::Chebyshev::apply_uses_initial_guess
bool apply_uses_initial_guess() const override
Return true as iterative solvers use the data in x as an initial guess.
Definition: chebyshev.hpp:84
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::solver::Chebyshev::parameters_type
Definition: chebyshev.hpp:123
GKO_ENABLE_LIN_OP_FACTORY
#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:900
gko::solver::Chebyshev::conj_transpose
std::unique_ptr< LinOp > conj_transpose() const override
Returns a LinOp representing the conjugate transpose of the Transposable object.
gko::solver::Chebyshev::Chebyshev
Chebyshev(const Chebyshev &)
Copy-constructs an Chebyshev solver.
gko::solver::Chebyshev::Factory
Definition: chebyshev.hpp:147
gko::config::registry
This class stores additional context for creating Ginkgo objects from configuration files.
Definition: registry.hpp:167
GKO_ENABLE_BUILD_METHOD
#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:386
gko::solver::initial_guess_mode
initial_guess_mode
Give a initial guess mode about the input of the apply method.
Definition: solver_base.hpp:33
GKO_FACTORY_PARAMETER_VECTOR
#define GKO_FACTORY_PARAMETER_VECTOR(_name,...)
Creates a vector factory parameter in the factory parameters structure.
Definition: abstract_factory.hpp:453
gko::solver::Chebyshev::parameters_type::default_initial_guess
initial_guess_mode default_initial_guess
Default initial guess mode.
Definition: chebyshev.hpp:144
gko::solver::initial_guess_mode::provided
the input is provided
gko::solver::workspace_traits
Traits class providing information on the type and location of workspace vectors inside a solver.
Definition: solver_base.hpp:238
gko::solver::EnablePreconditionedIterativeSolver
A LinOp implementing this interface stores a system matrix and stopping criterion factory.
Definition: solver_base.hpp:800
gko::solver::Chebyshev::transpose
std::unique_ptr< LinOp > transpose() const override
Returns a LinOp representing the transpose of the Transposable object.
gko::one
constexpr T one()
Returns the multiplicative identity for T.
Definition: math.hpp:654