📄 dcompgre.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE DCompGRe.cc. Example program that illustrates how to solve a complex dense generalized eigenvalue problem in regular mode using the ARluCompGenEig 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 boundary conditions, using piecewise linear elements. 2) Data structure used to represent matrices A and B: Although A and B are very sparse in this example, they are stored here as dense matrices (by columns). 3) Library called by this example: The LAPACK package is called by ARluCompGenEig to solve some linear systems involving B. 4) Included header files: File Contents ----------- --------------------------------------------- dcmatrxb.h CompMatrixE, a function that generates matrix A. dcmatrxc.h CompMatrixF, a function that generates matrix B. ardnsmat.h The ARdsNonSymMatrix class definition. ardgcomp.h The ARluCompGenEig class definition. lcompsol.h The Solution function. arcomp.h The "arcomplex" (complex) type definition. 5) ARPACK Authors: Richard Lehoucq Kristyn Maschhoff Danny Sorensen Chao Yang Dept. of Computational & Applied Mathematics Rice University Houston, Texas*/#include "arcomp.h"#include "dcmatrxb.h"#include "dcmatrxc.h"#include "ardnsmat.h"#include "ardgcomp.h"#include "lcompsol.h"main(){ // Defining variables; int n; // Dimension of the problem. arcomplex<double> rho; // Parameter used to define A. arcomplex<double> *valA, *valB; // pointers to arrays that store // the elements of A and B. // Creating complex matrices A and B. n = 100; rho = arcomplex<double>(10.0, 0.0); CompMatrixB(n, rho, valA); ARdsNonSymMatrix<arcomplex<double> > A(n, valA); CompMatrixC(n, valB); ARdsNonSymMatrix<arcomplex<double> > B(n, valB); // Defining what we need: the four eigenvectors with largest magnitude. ARluCompGenEig<double> dprob(4L, A, B); // Finding eigenvalues and eigenvectors. dprob.FindEigenvectors(); // Printing solution. Solution(A, B, dprob);} // main.
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