I'm trying to use the Spectra 3.5 Library on my Linux machine, and the SparseGenMatProd wrapper for the Matrix-Vector multiplication only seems to work when the sparse matrix is in ColMajor format. Is this normal behavior and if so, how can I fix it to take RowMajor format? I've included a basic example where the output is "Segmentation fault (core dumped)". I've gone through several other posts and the documentation, but can't seem to find an answer.
#include <Eigen/Core>
#include <Eigen/SparseCore>
#include <GenEigsSolver.h>
#include <MatOp/SparseGenMatProd.h>
#include <iostream>
using namespace Spectra;
int main()
{
// A band matrix with 1 on the main diagonal, 2 on the below-main subdiagonal,
// and 3 on the above-main subdiagonal
const int n = 10;
Eigen::SparseMatrix<double, Eigen::RowMajor> M(n, n);
M.reserve(Eigen::VectorXi::Constant(n, 3));
for(int i = 0; i < n; i++)
{
M.insert(i, i) = 1.0;
if(i > 0)
M.insert(i - 1, i) = 3.0;
if(i < n - 1)
M.insert(i + 1, i) = 2.0;
}
// Construct matrix operation object using the wrapper class SparseGenMatProd
SparseGenMatProd<double> op(M);
// Construct eigen solver object, requesting the largest three eigenvalues
GenEigsSolver< double, LARGEST_MAGN, SparseGenMatProd<double> > eigs(&op, 3, 6);
// Initialize and compute
eigs.init();
int nconv = eigs.compute();
// Retrieve results
Eigen::VectorXcd evalues;
if(eigs.info() == SUCCESSFUL)
evalues = eigs.eigenvalues();
std::cout << *emphasized text*"Eigenvalues found:\n" << evalues << std::endl;
return 0;
}
If you change line 15 to:
Eigen::SparseMatrix<double, Eigen::ColMajor> M(n, n);
it will work as expected.
Currently I'm working around this and converting my matrices to ColMajor, but I'd like to understand what's going on. Any help is much appreciated.