📄 nsymgshf.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE NSymGShf.cc. Example program that illustrates how to solve a real nonsymmetric generalized eigenvalue problem in real shift and invert mode using the ARNonSymGenEig class. 1) Problem description: In this example we try to solve A*x = B*x*lambda in shift and invert 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 Dirichlet boundary conditions using linear elements. The shift sigma is a real number. 2) Data structure used to represent matrix A: When using ARNonSymGenEig, the user is required to provide some classes that contain as member functions the matrix-vector products w = OP*Bv = inv(A-sigma*B)*B*v and w = B*v. In this example, NonSymGenProblemB is a class that contains two member functions, MultOPv and MultBv. The first takes a vector v and returns the product OPv. The second performs the product Bv. 3) Included header files: File Contents ----------- ------------------------------------------- ngenprbb.h The NonSymGenProblemB class definition. argnsym.h The ARNonSymGenEig class definition. nsymgsol.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 "ngenprbb.h"#include "nsymgsol.h"#include "argnsym.h"template<class T>void Test(T type){ // Creating Eig A*x = lambda*B*x. NonSymGenProblemB<T> P(100, 10, 1.0); // n = 100, rho = 10, sigma = 1. // Defining what we need: the four eigenvectors nearest to 1.0. // P.MultOPv is the function that performs the product w <- OPv. // P.MultBv is the function that performs the product w <- Bv. ARNonSymGenEig<T, NonSymGenProblemB<T>, NonSymGenProblemB<T> > dprob(P.A.ncols(), 4, &P, &NonSymGenProblemB<T>::MultOPv, &P, &NonSymGenProblemB<T>::MultBv, 1.0); // Finding eigenvalues and eigenvectors. dprob.FindEigenvectors(); // Printing solution. Solution(P.A, P.B, dprob);} // Test.main(){ // Solving a double precision problem with n = 100. Test((double)0.0); // Solving a single precision problem with n = 100. Test((float)0.0);} // main
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