bnsymgre.cc

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/*   ARPACK++ v1.0 8/1/1997   c++ interface to ARPACK code.   MODULE BNSymGRe.cc.   Example program that illustrates how to solve a real nonsymmetric   generalized eigenvalue problem in regular mode using the   ARluNonSymGenEig class.   1) Problem description:      In this example we try to solve A*x = B*x*lambda in regular      mode, where A and B are derived from the finite element      discretization of the 1-dimensional convection-diffusion operator                        (d^2u / dx^2) + rho*(du/dx)      on the interval [0,1] with zero Dirichlet boundary conditions      using linear elements.   2) Data structure used to represent matrices A and B:      {ndiagL, ndiagU, A}: matrix A data in band format. The columns      of A are stored sequentially in vector A. ndiagL and ndiagU      supply the lower and upper bandwidth of A, respectively.       {ndiagL, ndiagU, B}: matrix B in band format.   3) Library called by this example:      The LAPACK package is called by ARluNonSymGenEig to solve      some linear systems involving B.   4) Included header files:      File             Contents      -----------      -------------------------------------------      bnmatrxb.h       StiffnessMatrix, a function that generates                       matrix A in band format.      bnmatrxc.h       MassMatrix, a function that generates                        matrix B in band format.      arbnsmat.h       The ARbdNonSymMatrix class definition.      arbgnsym.h       The ARluNonSymGenEig class definition.      lnsymsol.h       The Solution function.   5) ARPACK Authors:      Richard Lehoucq      Kristyn Maschhoff      Danny Sorensen      Chao Yang      Dept. of Computational & Applied Mathematics      Rice University      Houston, Texas*/#include "bnmatrxb.h"#include "bnmatrxc.h"#include "arbnsmat.h"#include "arbgnsym.h"#include "lnsymsol.h"main(){  // Defining variables;  int     n;       // Dimension of the problem.  int     ndiagL;  // Lower bandwidth of A and B.  int     ndiagU;  // Upper bandwidth of A and B.  double  rho;     // Parameter used to define A.  double* valA;    // pointer to an array that stores the elements of A.  double* valB;    // pointer to an array that stores the elements of B.  // Creating matrices A and B.  n   = 100;  rho = 10.0;  StiffnessMatrix(n, rho, ndiagL, ndiagU, valA);  ARbdNonSymMatrix<double> A(n, ndiagL, ndiagU, valA);  MassMatrix(n, ndiagL, ndiagU, valB);  ARbdNonSymMatrix<double> B(n, ndiagL, ndiagU, valB);  // Defining what we need: the four eigenvectors with largest magnitude.  ARluNonSymGenEig<double> dprob(4L, A, B);  // Finding eigenvalues and eigenvectors.  dprob.FindEigenvectors();  // Printing solution.  Solution(A, B, dprob);} // main.

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