ucompreg.cc

来自「ARPACK is a collection of Fortran77 subr」· CC 代码 · 共 87 行

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/*   ARPACK++ v1.0 8/1/1997   c++ interface to ARPACK code.   MODULE UCompReg.cc.   Example program that illustrates how to solve a complex standard   eigenvalue problem in regular mode using the ARluCompStdEig class.   1) Problem description:      In this example we try to solve A*x = x*lambda in regular mode,      where A is obtained from the standard central difference      discretization of the convection-diffusion operator                    (Laplacian u) + rho*(du / dx)      on the unit square [0,1]x[0,1] with zero Dirichlet boundary      conditions.   2) Data structure used to represent matrix A:      {nnz, irow, pcol, A}: matrix A data in CSC format.   3) Included header files:      File             Contents      -----------      ---------------------------------------------      lcmatrxa.h       CompMatrixA, a function that generates matrix                       A in CSC format.      arunsmat.h       The ARumNonSymMatrix class definition.      aruscomp.h       The ARluCompStdEig class definition.      lcompsol.h       The Solution function.      arcomp.h         The "arcomplex" (complex) type definition.   4) ARPACK Authors:      Richard Lehoucq      Kristyn Maschhoff      Danny Sorensen      Chao Yang      Dept. of Computational & Applied Mathematics      Rice University      Houston, Texas*/#include "arcomp.h"#include "aruscomp.h"#include "arunsmat.h"#include "lcmatrxa.h"#include "lcompsol.h"main(){  // Defining variables;  int                nx;  int                n;     // Dimension of the problem.  int                nnz;   // Number of nonzero elements in A.  int*               irow;  // pointer to an array that stores the row                            // indices of the nonzeros in A.  int*               pcol;  // pointer to an array of pointers to the                            // beginning of each column of A in valA.  arcomplex<double>* valA;  // pointer to an array that stores the                            // nonzero elements of A.  // Creating a complex matrix.  nx = 10;  n  = nx*nx;  CompMatrixA(nx, nnz, valA, irow, pcol);  ARumNonSymMatrix<arcomplex<double> > A(n, nnz, valA, irow, pcol);  // Defining what we need: the four eigenvectors of A with largest magnitude.  ARluCompStdEig<double> dprob(4L, A);  // Finding eigenvalues and eigenvectors.  dprob.FindEigenvectors();  // Printing solution.  Solution(A, dprob);} // main

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