📄 compreg.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE CompReg.cc. Example program that illustrates how to solve a complex standard eigenvalue problem in regular mode using the ARCompStdEig 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 squre [0,1]x[0,1] with zero Dirichlet boundary conditions. 2) Data structure used to represent matrix A: When using ARCompStdEig, the user is required to provide a class that contains a member function which computes the the matrix-vector product w = Av. In this example, this class is called CompMatrixA, and MultMv is the function. 3) Included header files: File Contents ----------- ------------------------------------------- cmatrixa.h The CompMatrixA class definition. arscomp.h The ARCompStdEig class definition. compsol.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 "arscomp.h"#include "cmatrixa.h"#include "compsol.h"template<class T>void Test(T type){ // Creating a complex matrix. CompMatrixA<T> A(10); // n = 10*10. // Defining what we need: the four eigenvectors of A with largest magnitude. // A.MultMv is the function that performs the product w <- A.v. ARCompStdEig<T, CompMatrixA<T> > dprob(A.ncols(), 4, &A, &CompMatrixA<T>::MultMv); // Finding eigenvalues and eigenvectors. dprob.FindEigenvectors(); // Printing solution. Solution(A, dprob);} // Test.main(){ // Solving a double precision problem with n = 100. Test((double)0.0); // Solving a single precision problem with n = 100.#ifndef __SUNPRO_CC Test((float)0.0);#endif} // main
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