Commit 90d4cebc authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
Browse files

Added examples for tridiagonal matrix.

parent ca9ae964

Documentation/Examples/Matrices/TridiagonalMatrix/TridiagonalMatrixExample_Constructor_init_list_1.cpp

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#include <iostream>

#include <TNL/Matrices/SparseMatrix.h>

#include <TNL/Devices/Host.h>





template< typename Device >

void initializerListExample()

{

   TNL::Matrices::SparseMatrix< double, Device > matrix {

      {  1,  2,  3,  4,  5 }, // row capacities

      6 };                    // number of matrix columns



   for( int row = 0; row < matrix.getRows(); row++ )

      for( int column = 0; column <= row; column++ )

         matrix.setElement( row, column, row - column + 1 );

   std::cout << "General sparse matrix: " << std::endl << matrix << std::endl;

}



int main( int argc, char* argv[] )

{

   std::cout << "Creating matrices on CPU ... " << std::endl;

   initializerListExample< TNL::Devices::Host >();



#ifdef HAVE_CUDA

   std::cout << "Creating matrices on CUDA GPU ... " << std::endl;

   initializerListExample< TNL::Devices::Cuda >();

#endif

}

Documentation/Examples/Matrices/TridiagonalMatrix/TridiagonalMatrixExample_Constructor_init_list_1.cu

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TridiagonalMatrixExample_Constructor_init_list_1.cpp
 
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Documentation/Examples/Matrices/TridiagonalMatrix/TridiagonalMatrixExample_Constructor_init_list_2.cpp

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#include <iostream>

#include <TNL/Matrices/SparseMatrix.h>

#include <TNL/Devices/Host.h>





template< typename Device >

void initializerListExample()

{

   TNL::Matrices::SparseMatrix< double, Device > matrix (

      5, // number of matrix rows

      5, // number of matrix columns

      {  // matrix elements definition

         {  0,  0,  2.0 },

         {  1,  0, -1.0 }, {  1,  1,  2.0 }, {  1,  2, -1.0 },

         {  2,  1, -1.0 }, {  2,  2,  2.0 }, {  2,  3, -1.0 },

         {  3,  2, -1.0 }, {  3,  3,  2.0 }, {  3,  4, -1.0 },

         {  4,  4,  2.0 } } );



   std::cout << "General sparse matrix: " << std::endl << matrix << std::endl;

}



int main( int argc, char* argv[] )

{

   std::cout << "Creating matrices on CPU ... " << std::endl;

   initializerListExample< TNL::Devices::Host >();



#ifdef HAVE_CUDA

   std::cout << "Creating matrices on CUDA GPU ... " << std::endl;

   initializerListExample< TNL::Devices::Cuda >();

#endif

}

Documentation/Examples/Matrices/TridiagonalMatrix/TridiagonalMatrixExample_Constructor_init_list_2.cu

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TridiagonalMatrixExample_Constructor_init_list_2.cpp
 
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Documentation/Examples/Matrices/TridiagonalMatrix/TridiagonalMatrixExample_Constructor_std_map.cpp

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#include <iostream>

#include <map>

#include <utility>

#include <TNL/Matrices/SparseMatrix.h>

#include <TNL/Devices/Host.h>





template< typename Device >

void initializerListExample()

{

   std::map< std::pair< int, int >, double > map;

   map.insert( std::make_pair( std::make_pair( 0, 0 ),  2.0 ) );

   map.insert( std::make_pair( std::make_pair( 1, 0 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 1, 1 ),  2.0 ) );

   map.insert( std::make_pair( std::make_pair( 1, 2 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 2, 1 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 2, 2 ),  2.0 ) );

   map.insert( std::make_pair( std::make_pair( 2, 3 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 3, 2 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 3, 3 ),  2.0 ) );

   map.insert( std::make_pair( std::make_pair( 3, 4 ), -1.0 ) );

   map.insert( std::make_pair( std::make_pair( 4, 4 ),  2.0 ) );



   TNL::Matrices::SparseMatrix< double, Device > matrix ( 5, 5, map );



   std::cout << "General sparse matrix: " << std::endl << matrix << std::endl;

}



int main( int argc, char* argv[] )

{

   std::cout << "Creating matrices on CPU ... " << std::endl;

   initializerListExample< TNL::Devices::Host >();



#ifdef HAVE_CUDA

   std::cout << "Creating matrices on CUDA GPU ... " << std::endl;

   initializerListExample< TNL::Devices::Cuda >();

#endif

}