Hi Anita, I was cycling in Danemark with my family when you published your message, and it took me some time to read all the messages back to my office. You are interested into a quite old part of OpenTURNS, and it was a somewhat experimental feature. I started by implementing the computation of the mean point in standard space failure domain for all the simulation algorithms, including ImportanceSampling and DirectionalSampling, but got wrong results. Due to time constraint I removed (in fact commented...) the code excepted for LHS and MonteCarlo as it was correct in these cases.
If you need this feature for the other algorithms, I can spend some time to (try) to fix everything. The bad news is that the release candidate is coming soon so it will be difficult to add this development for the 1.10 version. Best regards Régis ________________________________ De : Anita Laera <[email protected]> À : Julien Schueller | Phimeca <[email protected]> Cc : users <[email protected]> Envoyé le : Jeudi 10 août 2017 11h52 Objet : Re: [ot-users] directional sampling - mean point in event domain + importance factors Is there anyone that can reply to my question? 2017-08-04 12:24 GMT+02:00 Anita Laera <[email protected]>: Thank you Julien, but for both computeMeanPointInEventDomain and computeImportanceFactors it is written: > > >"Be careful: this notion is only valid for MonteCarlo or LHS sampling as the >mean is evaluated from the equation (2)(only uniform weights over the >realizations ." > > >while I am using Directional Sampling. > > > > >2017-08-04 12:19 GMT+02:00 Julien Schueller | Phimeca <[email protected]>: > >Hi Anita, >> >> >>You may want to use SimulationSensitivityAnalysis: >>http://openturns.github.io/ope nturns/latest/user_manual/_gen >>erated/openturns.SimulationSen sitivityAnalysis.html >> >> >>j >> >>________________________________ >> >>De : [email protected] <[email protected]> de la part de >>Anita Laera <[email protected]> >>Envoyé : jeudi 3 août 2017 11:39:36 >>À : users >>Objet : [ot-users] directional sampling - mean point in event domain + >>importance factors >> >>Hi all, >>I am using Directional Sampling in OpenTURNS. >>In the documentation, it is specified that it is not possible to get the mean >>point in event domain and the importance factors through the class >>SimulationResults (as for Monte Carlo). Why? >> >> >>By looking at the DirectionalSampling.cxx file, I can see that the >>computation of the mean point in event domain is commented out: >> >> >> // meanPointInEventDomain = meanPointInEventDomain + >> computeMeanContribution(roots) * direction; >> ++contributionNumber; >> } // if contribution >> } >> // meanPointInEventDomain = meanPointInEventDomain * (1.0 / >> contributionNumber); >> >> >>Why? Is there a way to calculate them? >> >> >>Thank you, >>Anita >> >> >> >> >>______________________________ _________________ >>OpenTURNS users mailing list >>[email protected] >>http://openturns.org/mailman/l istinfo/users >> >> > _______________________________________________ OpenTURNS users mailing list [email protected] http://openturns.org/mailman/listinfo/users _______________________________________________ OpenTURNS users mailing list [email protected] http://openturns.org/mailman/listinfo/users
