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// Didasko Tutorial Package
// Copyright (2005) Sandia Corporation
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// Define dense serial matrices
// This code should be run with one process
#include "Didasko_ConfigDefs.h"
#if defined(HAVE_DIDASKO_EPETRA)
#include "Epetra_ConfigDefs.h"
#ifdef HAVE_MPI
#include "mpi.h"
#include "Epetra_MpiComm.h"
#else
#include "Epetra_SerialComm.h"
#endif
#include "Epetra_SerialDenseMatrix.h"
int main(int argc, char *argv[])
{
#ifdef HAVE_MPI
MPI_Init(&argc, &argv);
Epetra_MpiComm Comm(MPI_COMM_WORLD);
#else
#endif
// declare two dense matrix, whose dimensions are still not specified
// Total number of rows ans columns for dense matrix A
int NumRowsA = 2, NumColsA = 2;
// shape A
A.Shape( NumRowsA, NumColsA );
// set the element of A using the () operator.
// Note that i is the row-index, and j the column-index
for( int i=0 ; i<NumRowsA ; ++i )
for( int j=0 ; j<NumColsA ; ++j )
A(i,j) = i+100*j;
// Epetra_SerialDenseMatrix overloads the << operator
cout << A;
// get matrix norms
cout << "Inf norm of A = " << A.OneNorm() << endl;
cout << "One norm of A = " << A.InfNorm() << endl;
// now define an other matrix, B, for matrix multiplication
int NumRowsB = 2, NumColsB=1;
B.Shape(NumRowsB, NumColsB);
// enter the values of B
for( int i=0 ; i<NumRowsB ; ++i )
for( int j=0 ; j<NumColsB ; ++j )
B(i,j) = 11.0+i+100*j;
cout << B;
// define the matrix which will hold A * B
// same number of rows than A, same columns than B
AtimesB.Shape(NumRowsA,NumColsB);
// A * B
AtimesB.Multiply('N','N',1.0, A, B, 0.0);
cout << AtimesB;
#ifdef HAVE_MPI
MPI_Finalize();
#endif
} /* main */
#else
#include <stdlib.h>
#include <stdio.h>
int main(int argc, char *argv[])
{
puts("Please configure Didasko with:\n"
"--enable-epetra");
return 0;
}
#endif