📄 acompreg.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE ACompReg.cc. Example program that illustrates how to solve a complex standard eigenvalue problem in regular mode using the AREig function. 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 squre [0,1]x[0,1] with zero Dirichlet boundary conditions. 2) Data structure used to represent matrix A: {nnzA, irowA, pcolA, valA}: matrix A data in CSC format. 3) Included header files: File Contents ----------- --------------------------------------------- lcmatrxa.h CompMatrixA, a function that generates matrix A in CSC format. areig.h The AREig function definition. acompsol.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 "areig.h"#include "lcmatrxa.h"#include "acompsol.h"main(){ // Defining variables; int nx; int n; // Dimension of the problem. int nnz; // Number of nonzero elements in A. int nconv; // Number of "converged" eigenvalues. 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 in vector A. arcomplex<double> *A; // pointer to an array that stores the // nonzero elements of A. arcomplex<double> EigVal[101]; // Eigenvalues. arcomplex<double> EigVec[1001]; // Eigenvectors stored sequentially. // Creating a complex matrix. nx = 10; n = nx*nx; CompMatrixA(nx, nnz, A, irow, pcol); // Finding the four eigenvalues of A with largest magnitude // and the related eigenvectors. nconv = AREig(EigVal, EigVec, n, nnz, A, irow, pcol, 4); // Printing solution. Solution(nconv, n, nnz, A, irow, pcol, EigVal, EigVec);} // main
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