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Pierre's diagnostic is right, but the suggested option is wrong: it should be -eps_target Also, I would suggest using a larger value, such as -eps_target 0. 1, otherwise the tolerance 1e-14 might not be attained. Jose > El 7 mar 2024, a las
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<meta charset="utf-8"></head><body><pre style="font-family: sans-serif; font-size: 100%; white-space: pre-wrap; word-wrap: break-word">Pierre's diagnostic is right, but the suggested option is wrong: it should be -eps_target
Also, I would suggest using a larger value, such as -eps_target 0.1, otherwise the tolerance 1e-14 might not be attained.
Jose
> El 7 mar 2024, a las 8:01, Pierre Jolivet <pierre@joliv.et> escribió:
>
> This Message Is From an External Sender
> This message came from outside your organization.
> It seems your A is rank-deficient.
> If you slightly regularize the GEVP, e.g., -st_target 1.0E-6, you’ll get errors closer to 0.
>
> Thanks,
> Pierre
>
>> On 6 Mar 2024, at 8:57 PM, Eric Chamberland via petsc-users <petsc-users@mcs.anl.gov> wrote:
>>
>> This Message Is From an External Sender
>> This message came from outside your organization.
>> Hi,
>>
>> we have a simple generalized Hermitian problem (Kirchhoff plate
>> vibration) for which we are comparing SLEPc results with Matlab results.
>>
>> SLEPc computes eigenvalues correctly, as Matlab does.
>>
>> However, the output eigenvectors are not fully converged and we are
>> trying to understand where we have missed a convergence parameter or
>> anything else about eigenvectors.
>>
>> SLEPc warns us at the end of EPSSolve with this message:
>>
>> ---
>> Problem: some of the first 10 relative errors are higher than the
>> tolerance
>> ---
>>
>> And in fact, when we import the resulting vectors into Matlab,
>> "A*x-B*Lambda*x" isn't close to 0.
>>
>> Here are attached the EPS view output as the A and B matrices used.
>>
>> Any help or insights will be appreciated! :)
>>
>> Thanks,
>> Eric
>>
>> <epsview.txt><matrice0_gen.m><matrice1_gen.m>
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