ViennaCL - The Vienna Computing Library: viennacl/linalg/mixed_precision_cg.hpp File Reference

ViennaCL - The Vienna Computing Library 1.7.1 Free open-source GPU-accelerated linear algebra and solver library. |

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mixed_precision_cg.hpp File Reference

The conjugate gradient method using mixed precision is implemented here. Experimental. More...

`#include <vector>`
`#include <map>`
`#include <cmath>`
`#include "viennacl/forwards.h"`
`#include "viennacl/tools/tools.hpp"`
`#include "viennacl/linalg/ilu.hpp"`
`#include "viennacl/linalg/prod.hpp"`
`#include "viennacl/linalg/inner_prod.hpp"`
`#include "viennacl/traits/clear.hpp"`
`#include "viennacl/traits/size.hpp"`
`#include "viennacl/meta/result_of.hpp"`
`#include "viennacl/backend/memory.hpp"`
`#include "viennacl/vector_proxy.hpp"`

Go to the source code of this file.

## Classes
class | viennacl::linalg::mixed_precision_cg_tag
| A tag for the conjugate gradient Used for supplying solver parameters and for dispatching the solve() function. More...

## Namespaces
| viennacl
| Main namespace in ViennaCL. Holds all the basic types such as vector, matrix, etc. and defines operations upon them.
| viennacl::linalg
| Provides all linear algebra operations which are not covered by operator overloads.

## Functions
template<typename MatrixType , typename VectorType >
VectorType | viennacl::linalg::solve (const MatrixType &matrix, VectorType const &rhs, mixed_precision_cg_tag const &tag)
| Implementation of the conjugate gradient solver without preconditioner. More...
template<typename MatrixType , typename VectorType >
VectorType | viennacl::linalg::solve (const MatrixType &matrix, VectorType const &rhs, mixed_precision_cg_tag const &tag, viennacl::linalg::no_precond)

## Detailed Description

The conjugate gradient method using mixed precision is implemented here. Experimental.

Definition in file mixed_precision_cg.hpp.