symreg.cc

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/*   ARPACK++ v1.0 8/1/1997   c++ interface to ARPACK code.   MODULE SymReg.cc.   Example program that illustrates how to solve a real symmetric   standard eigenvalue problem in regular mode using the   ARSymStdEig class.   1) Problem description:      In this example we try to solve A*x = x*lambda in regular mode,      where A is derived from the central difference discretization      of the 2-dimensional Laplacian on the unit square [0,1]x[0,1]      with zero Dirichlet boundary conditions.   2) Data structure used to represent matrix A:      When using ARSymStdEig, 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 SymMatrixA, and MultMv is the function.   3) Included header files:      File             Contents      -----------      -------------------------------------------      smatrixa.h       The SymMatrixA class definition.      arssym.h         The ARSymStdEig class definition.      symsol.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 "arssym.h"#include "smatrixa.h"#include "symsol.h"template<class T>void Test(T type){  // Creating a symmetric matrix.  SymMatrixA<T> A(10L); // n = 10*10.  // Defining what we need: the four eigenvectors of A with smallest magnitude.  // A.MultMv is the function that performs the product w <- A.v.  ARSymStdEig<T, SymMatrixA<T> >    dprob(A.ncols(), 4L, &A, &SymMatrixA<T>::MultMv, "SM");  // 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.  Test((float)0.0);} // main.

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