Пример #1
0
void run_test(const Matrix &mat, int k, int m)
{
    DenseGenMatProd<double> op(mat);
    GenEigsSolver<double, SelectionRule, DenseGenMatProd<double>> eigs(&op, k, m);
    eigs.init();
    int nconv = eigs.compute();
    int niter = eigs.num_iterations();
    int nops = eigs.num_operations();

    REQUIRE( nconv > 0 );

    ComplexVector evals = eigs.eigenvalues();
    ComplexMatrix evecs = eigs.eigenvectors();

    ComplexMatrix err = mat * evecs - evecs * evals.asDiagonal();

    INFO( "nconv = " << nconv );
    INFO( "niter = " << niter );
    INFO( "nops = " << nops );
    INFO( "||AU - UD||_inf = " << err.array().abs().maxCoeff() );
    REQUIRE( err.array().abs().maxCoeff() == Approx(0.0) );
}
Пример #2
0
void run_test(const MatType& mat, int k, int m, double sigma, bool allow_fail = false)
{
    typename OpTypeTrait<MatType>::OpType op(mat);
    GenEigsRealShiftSolver<double, SelectionRule, typename OpTypeTrait<MatType>::OpType>
        eigs(&op, k, m, sigma);
    eigs.init();
    int nconv = eigs.compute();
    int niter = eigs.num_iterations();
    int nops  = eigs.num_operations();

    if(allow_fail)
    {
        if( eigs.info() != SUCCESSFUL )
        {
            WARN( "FAILED on this test" );
            std::cout << "nconv = " << nconv << std::endl;
            std::cout << "niter = " << niter << std::endl;
            std::cout << "nops  = " << nops  << std::endl;
            return;
        }
    } else {
        INFO( "nconv = " << nconv );
        INFO( "niter = " << niter );
        INFO( "nops  = " << nops );
        REQUIRE( eigs.info() == SUCCESSFUL );
    }

    ComplexVector evals = eigs.eigenvalues();
    ComplexMatrix evecs = eigs.eigenvectors();

    ComplexMatrix resid = mat * evecs - evecs * evals.asDiagonal();
    const double err = resid.array().abs().maxCoeff();

    INFO( "||AU - UD||_inf = " << err );
    REQUIRE( err == Approx(0.0) );
}