Dear Phuoc

Which linear solver are you using?

Best regards
Kostas

On Thu, Apr 19, 2018 at 3:30 PM, Huu Phuoc BUI <[email protected]>
wrote:

> Dear Yves,
>
> Thank you very much for your reply. I checked with what you proposed, I
> got the same result.
> I still do not know how J(u)-J(uh) is different from J(u-uh) at certain
> points whilst J is linear.
>
> Best regards,
> Phuoc
>
>
> On Wed, Apr 18, 2018 at 5:28 PM, Yves Renard <[email protected]>
> wrote:
>
>>
>> Dear Phuoc,
>>
>> If you just want to compute J(u) = \int_{\Omega} div(u) dx, then I would
>> say that the more straigthforward computation is
>>
>> gf.asm_generic(mim,0,"Div_u",OMEGA
>>                                  ,"u",False,mfu,md.variable('u')
>>                                  ,"t",True,mfef, np.zeros(mfef.nbdof()))
>>
>> However, if mfef is a Lagrange finite element, what you wrote will also
>> do the job, may be except that it sums all the components of course.
>>
>> Best regards,
>>
>> Yves.
>>
>> ----- Original Message -----
>> From: "Huu Phuoc BUI" <[email protected]>
>> To: [email protected]
>> Sent: Wednesday, April 18, 2018 1:03:59 PM
>> Subject: [Getfem-users] Generic assembly of GetFEM++
>>
>> Dear GetFEM++ users,
>>
>> I am working on adaptive refinement of a linear elasticity problem using a
>> posteriori error estimate.
>>
>> At each adaptive refinement step, I need to compute some quantity of
>> interest defined on a subdomain $\Omega$. Let's call this quantity of
>> interest J(u) = \int_{\Omega} div(u) dx.
>>
>> I use 'asm_generic' of GetFEM++ to compute this quantity. The python code
>> looks like:
>>
>>     QoI = "(Div_u)*Test_t"
>>     QoI_asm = gf.asm_generic(mim,1,QoI,OMEGA
>>                                  ,"u",False,mfu,md.variable('u')
>>                                  ,"t",True,mfef, np.zeros(mfef.nbdof()))
>>     QoI_asm_elem = QoI_asm [ QoI_asm.size - mfef.nbdof() : QoI_asm.size ]
>>     qoi = abs(np.sum(QoI_asm_elem))
>>
>> with
>>    mfef = gf.MeshFem(m,1)
>>    mfef.set_fem(gf.Fem('FEM_PK_DISCONTINUOUS(2,{d})'.format(d=0)))
>>
>> I compute then the relative error of the quantity of interest
>> (J(u)-J(u_h))/J(u), with u is the solution computed from very fine mesh,
>> u_h is the solution of the adaptive mesh.
>>
>> What I got is that (J(u)-J(u_h))/J(u) does not converge well under mesh
>> refinement. Secondly, J(u)-J(u_h) differs from J(u-u_h) for adaptive
>> refinement case, which is not acceptable since J is linear. For the
>> uniform
>> refinement case, they are however identical.
>>
>>
>>
>>
>> I checked that the region of interest OMEGA is refined, and is updated
>> correctly at each refinement step.
>>
>> I do not know where the problem comes from. Do you think the generic
>> assembly code I wrote is correct? Any hint would be very helpful and
>> appreciated.
>>
>> Best,
>> Phuoc
>>
>
>

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