Commit 96484f79 authored by Tomáš Oberhuber's avatar Tomáš Oberhuber
Browse files

Writting documentation on sparse matrix.

parent 4e9330d8

Documentation/Examples/Matrices/SparseMatrix/CMakeLists.txt

+22 −0
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@@ -4,6 +4,16 @@ IF( BUILD_CUDA ) 
                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_init_list_1.out

                       OUTPUT SparseMatrixExample_Constructor_init_list_1.out )



   CUDA_ADD_EXECUTABLE( SparseMatrixExample_Constructor_init_list_2_cuda SparseMatrixExample_Constructor_init_list_2.cu )

   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_init_list_2_cuda >

                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_init_list_2.out

                       OUTPUT SparseMatrixExample_Constructor_init_list_2.out )



   CUDA_ADD_EXECUTABLE( SparseMatrixExample_Constructor_std_map_cuda SparseMatrixExample_Constructor_std_map.cu )

   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_std_map_cuda >

                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_std_map.out

                       OUTPUT SparseMatrixExample_Constructor_std_map.out )



#   CUDA_ADD_EXECUTABLE( SparseMatrixExample_setElements_cuda SparseMatrixExample_setElements.cu )

#   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements_cuda > 

#                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements.out
@@ -130,6 +140,16 @@ ELSE() 
                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_init_list_1.out

                       OUTPUT SparseMatrixExample_Constructor_init_list_1.out )



   ADD_EXECUTABLE( SparseMatrixExample_Constructor_init_list_2 SparseMatrixExample_Constructor_init_list_2.cpp )

   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_init_list_2 >

                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_init_list_2.out

                       OUTPUT SparseMatrixExample_Constructor_init_list_2.out )



   ADD_EXECUTABLE( SparseMatrixExample_Constructor_std_map SparseMatrixExample_Constructor_std_map.cpp )

   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_Constructor_std_map >

                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_Constructor_std_map.out

                       OUTPUT SparseMatrixExample_Constructor_std_map.out )



#   ADD_EXECUTABLE( SparseMatrixExample_setElements SparseMatrixExample_setElements.cpp )

#   ADD_CUSTOM_COMMAND( COMMAND SparseMatrixExample_setElements > 

#                        ${TNL_DOCUMENTATION_OUTPUT_SNIPPETS_PATH}/SparseMatrixExample_setElements.out
@@ -254,6 +274,8 @@ ENDIF() 


ADD_CUSTOM_TARGET( RunSparseMatricesExamples ALL DEPENDS

   SparseMatrixExample_Constructor_init_list_1.out

   SparseMatrixExample_Constructor_init_list_2.out

   SparseMatrixExample_Constructor_std_map.out

#   SparseMatrixExample_setElements.out

#   SparseMatrixExample_getCompressedRowLengths.out

#   SparseMatrixExample_getElementsCount.out

Documentation/Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_init_list_1.cpp

+2 −2
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@@ -7,9 +7,9 @@ template< typename Device > 
void initializerListExample()

{

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

      {  1,  2,  3,  4,  5 } };

      {  1,  2,  3,  4,  5 }, 6 };



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

   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;

Documentation/Examples/Matrices/SparseMatrix/SparseMatrixExample_Constructor_init_list_1.cu

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SparseMatrixExample_Constructor_init_list_1.cpp
 
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Documentation/Examples/Matrices/SparseMatrix/SparseMatrixExample_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, 5, {

      {  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/SparseMatrix/SparseMatrixExample_Constructor_init_list_2.cu

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SparseMatrixExample_Constructor_init_list_2.cpp
 
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