dnsymreg.cc

来自「ARPACK is a collection of Fortran77 subr」· CC 代码 · 共 81 行

/*
   ARPACK++ v1.0 8/1/1997
   c++ interface to ARPACK code.

   MODULE DNSymReg.cc.
   Example program that illustrates how to solve a real
   nonsymmetric dense standard eigenvalue problem in regular 
   mode using the ARluNonSymStdEig class.

   1) Problem description:

      In this example we try to solve A*x = x*lambda in regular mode,
      where A is derived from the standard central difference
      discretization of the 2-dimensional convection-diffusion operator
                       (Laplacian u) + rho*(du/dx)
      on a unit square with zero Dirichlet boundary conditions.

   2) Data structure used to represent matrix A:

      Although A is very sparse in this example, it is stored
      here columnwise as a dense matrix.

   3) Included header files:

      File             Contents
      -----------      -------------------------------------------
      dnmatrxa.h       DenseMatrixA, a function that generates
                       matrix A.
      ardnsmat.h       The ARdsNonSymMatrix class definition.
      ardsnsym.h       The ARluNonSymStdEig class definition.
      lnsymsol.h       The Solution function.

   4) ARPACK Authors:

      Richard Lehoucq
      Kristyn Maschhoff
      Danny Sorensen
      Chao Yang
      Dept. of Computational & Applied Mathematics
      Rice University
      Houston, Texas
*/

#include "dnmatrxa.h"
#include "ardnsmat.h"
#include "ardsnsym.h"
#include "lnsymsol.h"


main()
{

  // Defining variables;

  int     nx;
  int     n;       // Dimension of the problem.
  double  rho;     // Parameter used to define A.
  double* A;       // Pointer to an array that stores the elements of A.

  // Creating a 100x100 matrix.

  nx  = 10;
  rho = 100.0;
  DenseMatrixA(nx, rho, n, A);
  ARdsNonSymMatrix<double> matrix(n, A);

  // Defining what we need: the four eigenvectors of A with largest magnitude.

  ARluNonSymStdEig<double> dprob(4, matrix, "SM", 20);

  // Finding eigenvalues and eigenvectors.

  dprob.FindEigenvectors();

  // Printing solution.

  Solution(matrix, dprob);

} // main.