Comments (2)
About the potential bug, it would be helpful if you can provide an example so we can replicate the problem (i.e. what modification in the standard example leads to exactly what differences, what is the command line you used etc).
Also note, Laplacian matrices are always symmetric, without the need to 'standardize'. It may be that you have a general Eigenvalue problem (Ax = lambda Bx) where B is either sparse and symmetric (FEM) or diagonal (mass lumping or some mesh/graph Laplace operators). In both cases solve the generalized problem, do not invert B.
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I just looked at the areig/ansymreg example and changing the number of requested eigenvalues does not change the results (it computes more, but the earlier ones are identical). I cannot replicate this problem. Please give an explicit example and specify what operating system you are using.
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Related Issues (20)
- Wrong method signatures HOT 1
- Wrong eigenvalues with UMFpack HOT 5
- compiling on windows HOT 1
- Installing with dynamic gfortran library HOT 8
- Valgrind Error from ARrcStdEig::FindEigenvalues
- Access Violation exception HOT 1
- Error with multiple threads HOT 2
- install-superlu.sh download link fix
- Question about the arpackpp HOT 1
- Integer overflow HOT 4
- Is it possible to use `gemv` from BLAS directly on `ARdsNonSymMatrix`? HOT 2
- How to use `ARSymStdEig` in the shift-invert mode? HOT 2
- Generalised eigenvalue problem with shift-inverse mode using UMFPACK HOT 2
- Plans to make a release? HOT 2
- Update the ARPACK++ documentation HOT 3
- Duplicate symbols when linking two objects including arsnsym.h HOT 2
- Error when compile with gcc 5.4 HOT 4
- superlu 5.0 should set $BLAS HOT 1
- Posible memory leak? HOT 6
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