SG++
python.uq.sampler.Sample.DistributionType Class Reference

Static Public Attributes

int PROBABILISTICDIST = 3
 
int PROBABILISTICUNIFORM = 2
 
int UNITUNIFORM = 1
 

Detailed Description

Describes how the samples are drawn:
1) unit and uniform: the samples are all in the unit hyper cube and are
                     sampled uniformly
2) probabilistic and uniform: the samples are in the probabilistic space
                              but sampled uniformly
3) probabilistic and distributed: the samples are in the probabilistic
                                  space and sampled according to their
                                  distribution

Examples:
- MCSampler draws samples in (1)
- rvs() draws samples in (3)
- after applying transformation to samples in (3) they can either be in
    (2) if the transformation is linear
    (1) if the transformation is the inverse CDF transformation

Member Data Documentation

int python.uq.sampler.Sample.DistributionType.PROBABILISTICDIST = 3
static
int python.uq.sampler.Sample.DistributionType.PROBABILISTICUNIFORM = 2
static
int python.uq.sampler.Sample.DistributionType.UNITUNIFORM = 1
static

The documentation for this class was generated from the following file: