📄 compshf.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE CompShf.cc. Example program that illustrates how to solve a complex standard eigenvalue problem in shift and invert mode using the ARCompStdEig class. 1) Problem description: In this example we try to solve A*x = x*lambda in shift and invert mode, where A is derived from the central difference 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. 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 matrix-vector product w = OPv, where OP = inv[A - sigma*I]. In this example, this class is called CompMatrixB, and MultOPv is the function. 3) Included header files: File Contents ----------- ------------------------------------------- cmatrixb.h The CompMatrixB class definition. arscomp.h The ARCompStdEig class definition. compsol.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 "arscomp.h"#include "cmatrixb.h"#include "compsol.h"template<class T>void Test(T type){ // Creating a complex matrix (n = 100, shift = 0, rho = 10). CompMatrixB<T> A(100, arcomplex<T>(0.0,0.0), arcomplex<T>(10.0,0.0)); // Defining what we need: the four eigenvectors of F nearest to 0.0. // A.MultOPv is the function that performs the product w <- OPv. ARCompStdEig<T, CompMatrixB<T> > dprob(A.ncols(), 4, &A, &CompMatrixB<T>::MultOPv, arcomplex<T>(0.0, 0.0)); // Finding eigenvalues and eigenvectors. dprob.FindEigenvectors(); // Printing solution. Solution(A, dprob);} // Test.main(){ // Solving a single precision problem with n = 100.#ifndef __SUNPRO_CC Test((float)0.0);#endif // Solving a double precision problem with n = 100. Test((double)0.0);} // main
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