📄 rcompgre.cc
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/* ARPACK++ v1.0 8/1/1997 c++ interface to ARPACK code. MODULE RCompGReg.cc. Example program that illustrates how to solve a complex generalized eigenvalue problem in regular mode using the ARrcCompGenEig class. 1) Problem description: In this example we try to solve A*x = B*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 boundary conditions using piecewise linear elements. 2) Data structure used to represent matrix A: ARrcCompGenEig is a class thar requires the user to provide a way to perform the matrix-vector products w = OPv = inv(B)*A*v and w = B*v. In this example a class called ComplexGenProblemA was created with this purpose. ComplexGenProblemA 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) The reverse communication interface: This example uses the reverse communication interface, which means that the desired eigenvalues cannot be obtained directly from an ARPACK++ class. Here, the overall process of finding eigenvalues by using the Arnoldi method is splitted into two parts. In the first, a sequence of calls to a function called TakeStep is combined with matrix-vector products in order to find an Arnoldi basis. In the second part, an ARPACK++ function like FindEigenvectors (or EigenValVectors) is used to extract eigenvalues and eigenvectors. 4) Included header files: File Contents ----------- ------------------------------------------- cgenprba.h The ComplexGenProblemA class definition. arrgcomp.h The ARrcCompGenEig class definition. rcompgsl.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 "cgenprba.h"#include "rcompgsl.h"#include "arrgcomp.h"template<class T>void Test(T type){ // Defining a complex pencil with n = 100. ComplexGenProblemA<T> P(100); // n = 100. // Creating a complex eigenvalue problem and defining what we need: // the four eigenvectors with largest magnitude. ARrcCompGenEig<T> prob(P.A.ncols(), 4L); // Finding an Arnoldi basis. while (!prob.ArnoldiBasisFound()) { // Calling ARPACK FORTRAN code. Almost all work needed to // find an Arnoldi basis is performed by TakeStep. prob.TakeStep(); if ((prob.GetIdo() == 1)||(prob.GetIdo() == -1)) { // Performing w <- OP*v. // In regular mode, this product must be performed // whenever GetIdo is equal to 1 or -1. GetVector supplies // a pointer to the input vector, v, and PutVector a pointer // to the output vector, w. P.MultOPv(prob.GetVector(), prob.PutVector()); } else if (prob.GetIdo() == 2) { // Performing w <- B*v. P.B.MultMv(prob.GetVector(), prob.PutVector()); } } // Finding eigenvalues and eigenvectors. prob.FindEigenvectors(); // Printing solution. Solution(prob);} // Test.main(){ // Solving a single precision problem with n = 100.#ifndef __SUNPRO_CC Test((single)0.0);#endif // Solving a double precision problem with n = 100. Test((double)0.0);} // main
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