Hi Anita,


It totally looks like some works has been initiated for the mean point in DS, this goes back to release 0.14.0.

I'll see what I can do.


j


De : Anita Laera <anita.laer...@gmail.com>
Envoyé : vendredi 4 août 2017 12:24:55
À : Julien Schueller | Phimeca
Cc : users
Objet : Re: [ot-users] directional sampling - mean point in event domain + importance factors
 
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 \vect{X}_i."

while I am using Directional Sampling.


2017-08-04 12:19 GMT+02:00 Julien Schueller | Phimeca <schuel...@phimeca.com>:

De : users-boun...@openturns.org <users-boun...@openturns.org> de la part de Anita Laera <anita.laer...@gmail.com>
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



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