📄 nsymgreg.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE NSymGReg.cc. Example program that illustrates how to solve a real nonsymmetric generalized eigenvalue problem in regular mode using the ARNonSymGenEig class. 1) Problem description: In this example we try to solve A*x = 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 Dirichlet boundary conditions using linear elements. 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 = OPv = inv(B)*A*v and w = B*v. In this example, NonSymGenProblemA is a class that contains a member function, MultOPv(v,w), that takes a vector v and returns the product OPv in w. It also contains an object, B, that stores matrix B data. The product Bv is performed by MultMv, a member function of B. 3) Included header files: File Contents ----------- ------------------------------------------- ngenprba.h The NonSymGenProblemA class definition. argnsym.h The ARNonSymGenEig class definition. nsymgsol.h The Solution function. 5) ARPACK Authors: Richard Lehoucq Kristyn Maschhoff Danny Sorensen Chao Yang Dept. of Computational & Applied Mathematics Rice University Houston, Texas*/#include "ngenprba.h"#include "nsymgsol.h"#include "argnsym.h"template<class T>void Test(T type){ // Creating Eig A*x = lambda*B*x. NonSymGenProblemA<T> P(100); // n = 100. // Defining what we need: the four eigenvectors with largest magnitude. // P.MultOPv is the function that performs the product w <- OPv. // P.B.MultMv is the function that performs the product w <- Bv. ARNonSymGenEig<T, NonSymGenProblemA<T>, NonSymMatrixD<T> > dprob(P.A.ncols(), 4, &P, &NonSymGenProblemA<T>::MultOPv, &P.B, &NonSymMatrixD<T>::MultMv); // 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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