testCases=[[class=Uniform name=Uniform dimension=1 a=-1 b=3,class=Uniform name=Uniform dimension=1 a=-1 b=3],[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[1] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[-2] sigma=class=Point name=Unnamed dimension=1 values=[2] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]],[class=Exponential name=Exponential dimension=1 lambda=1 gamma=0,class=Exponential name=Exponential dimension=1 lambda=1 gamma=0,class=Exponential name=Exponential dimension=1 lambda=1 gamma=0]]
references=[Triangular(a = -2, m = 2, b = 6),Normal(mu = -1, sigma = 3),Gamma(k = 3, lambda = 1, gamma = 0)]
Distribution class=RandomMixture name=RandomMixture distribution collection=[class=Triangular name=Triangular dimension=1 a=-2 m=2 b=6] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] constant=class=Point name=Unnamed dimension=1 values=[0]
Distribution RandomMixture(Triangular(a = -2, m = 2, b = 6))
Elliptical = true
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[2.5585]
oneSample first=class=Point name=Unnamed dimension=1 values=[4.06345] last=class=Point name=Unnamed dimension=1 values=[1.68661]
mean=class=Point name=Unnamed dimension=1 values=[2.01813]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.72012]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[0.5]
ddf      =class=Point name=Unnamed dimension=1 values=[0.0625]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[0.0625]
pdf      =0.15625
pdf  (FD)=0.15625
pdf (ref)=0.15625
cdf      =0.195312
cdf (ref)=0.195312
characteristic function=(0.382574,0.595823)
log characteristic function=(-0.345207,1)
quantile      =class=Point name=Unnamed dimension=1 values=[4.73509]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[4.73509]
cdf(quantile)=0.95
quantile comp.=class=Point name=Unnamed dimension=1 values=[-0.735089]
cdfComp(quantileComp)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[2]
mean (ref)=class=Point name=Unnamed dimension=1 values=[2]
standard deviation      =class=Point name=Unnamed dimension=1 values=[1.63299]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[1.63299]
skewness      =class=Point name=Unnamed dimension=1 values=[0]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[0]
kurtosis      =class=Point name=Unnamed dimension=1 values=[2.4]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[2.4]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.66667]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[2.66667]
parameters=[[Triangular_a : -2, Triangular_m : 2, Triangular_b : 6]]
Standard representative=RandomMixture(Triangular(a = -2, m = 2, b = 6))
blockMin=5
blockMax=20
maxSize=4000000
alpha=5
beta=8.5
Distribution class=RandomMixture name=RandomMixture distribution collection=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[-1] sigma=class=Point name=Unnamed dimension=1 values=[3] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] constant=class=Point name=Unnamed dimension=1 values=[0]
Distribution RandomMixture(Normal(mu = -1, sigma = 3))
Elliptical = true
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[-2.3693]
oneSample first=class=Point name=Unnamed dimension=1 values=[-3.73534] last=class=Point name=Unnamed dimension=1 values=[-1.06758]
mean=class=Point name=Unnamed dimension=1 values=[-1.01449]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[8.84831]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[0.5]
ddf      =class=Point name=Unnamed dimension=1 values=[-0.0195592]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[-0.0195592]
pdf      =0.117355
pdf  (FD)=0.117355
pdf (ref)=0.117355
cdf      =0.691462
cdf (ref)=0.691462
characteristic function=(0.284909,-0.155647)
log characteristic function=(-1.125,-0.5)
quantile      =class=Point name=Unnamed dimension=1 values=[3.93456]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[3.93456]
cdf(quantile)=0.95
quantile comp.=class=Point name=Unnamed dimension=1 values=[-5.93456]
cdfComp(quantileComp)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[-1]
mean (ref)=class=Point name=Unnamed dimension=1 values=[-1]
standard deviation      =class=Point name=Unnamed dimension=1 values=[3]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[3]
skewness      =class=Point name=Unnamed dimension=1 values=[0]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[0]
kurtosis      =class=Point name=Unnamed dimension=1 values=[3]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[3]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[9]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[9]
parameters=[[Normal_mean_0 : -1, Normal_standard_deviation_0 : 3]]
Standard representative=RandomMixture(Normal(mu = -1, sigma = 3))
blockMin=5
blockMax=20
maxSize=4000000
alpha=5
beta=8.5
Distribution class=RandomMixture name=RandomMixture distribution collection=[class=Gamma name=Gamma dimension=1 k=3 lambda=1 gamma=0] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1] constant=class=Point name=Unnamed dimension=1 values=[0]
Distribution RandomMixture(Gamma(k = 3, lambda = 1, gamma = 0))
Elliptical = false
Continuous = true
oneRealization=class=Point name=Unnamed dimension=1 values=[1.5317]
oneSample first=class=Point name=Unnamed dimension=1 values=[1.68201] last=class=Point name=Unnamed dimension=1 values=[3.04448]
mean=class=Point name=Unnamed dimension=1 values=[3.0296]
covariance=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3.09676]
Kolmogorov test for the generator, sample size=100 is accepted
Kolmogorov test for the generator, sample size=1000 is accepted
Point= class=Point name=Unnamed dimension=1 values=[0.5]
ddf      =class=Point name=Unnamed dimension=1 values=[0.227449]
ddf (ref)=class=Point name=Unnamed dimension=1 values=[0.227449]
pdf      =0.0758163
pdf  (FD)=0.0758163
pdf (ref)=0.0758163
cdf      =0.0143877
cdf (ref)=0.0143877
characteristic function=(0.128,0.704)
log characteristic function=(-0.334715,1.39094)
quantile      =class=Point name=Unnamed dimension=1 values=[6.29579]
quantile (ref)=class=Point name=Unnamed dimension=1 values=[6.29579]
cdf(quantile)=0.95
quantile comp.=class=Point name=Unnamed dimension=1 values=[0.817691]
cdfComp(quantileComp)=0.95
mean      =class=Point name=Unnamed dimension=1 values=[3]
mean (ref)=class=Point name=Unnamed dimension=1 values=[3]
standard deviation      =class=Point name=Unnamed dimension=1 values=[1.73205]
standard deviation (ref)=class=Point name=Unnamed dimension=1 values=[1.73205]
skewness      =class=Point name=Unnamed dimension=1 values=[1.1547]
skewness (ref)=class=Point name=Unnamed dimension=1 values=[1.1547]
kurtosis      =class=Point name=Unnamed dimension=1 values=[5]
kurtosis (ref)=class=Point name=Unnamed dimension=1 values=[5]
covariance      =class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3]
covariance (ref)=class=CovarianceMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[3]
parameters=[[Gamma_k : 3, Gamma_lambda : 1, Gamma_gamma : 0]]
Standard representative=RandomMixture(Gamma(k = 3, lambda = 1, gamma = 0))
blockMin=5
blockMax=20
maxSize=4000000
alpha=5
beta=8.5
distribution=class=RandomMixture name=RandomMixture distribution collection=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[3] sigma=class=Point name=Unnamed dimension=1 values=[2.23607] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Uniform name=Uniform dimension=1 a=-2 b=2,class=Exponential name=Exponential dimension=1 lambda=2 gamma=0,class=Gamma name=Gamma dimension=1 k=3 lambda=4 gamma=0] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=1 columns=4 values=[1,1,1,1] constant=class=Point name=Unnamed dimension=1 values=[0]
distribution=RandomMixture(Normal(mu = 3, sigma = 2.23607) + Uniform(a = -2, b = 2) + Exponential(lambda = 2, gamma = 0) + Gamma(k = 3, lambda = 4, gamma = 0))
pdf(-12)=6.67892e-11
pdf(-11)=9.97295e-10
pdf(-10)=1.2309e-08
pdf(-9)=1.25705e-07
pdf(-8)=1.06351e-06
pdf(-7)=7.46467e-06
pdf(-6)=4.35423e-05
pdf(-5)=0.000211517
pdf(-4)=0.000857832
pdf(-3)=0.00291333
pdf(-2)=0.00831531
pdf(-1)=0.0200311
pdf(0)=0.0409224
pdf(1)=0.0712706
pdf(2)=0.106373
pdf(3)=0.136703
pdf(4)=0.15182
pdf(5)=0.146004
pdf(6)=0.121625
pdf(7)=0.0876629
pdf(8)=0.0545612
pdf(9)=0.0292632
pdf(10)=0.0135043
pdf(11)=0.00536
pdf(12)=0.00183186
pdf(13)=0.000540711
pdf(14)=0.000138571
pdf(15)=3.10776e-05
pdf(16)=6.16681e-06
pdf(17)=1.09834e-06
projections=[Normal(mu = 4.24818, sigma = 4.37758),Gamma(k = 9.27664, lambda = 0.695762, gamma = -9.08487),Triangular(a = -9.72415, m = 4.24455, b = 18.2241),Uniform(a = -9.72415, b = 18.2241),Exponential(lambda = 0.0750016, gamma = -9.08487)]
norms=class=Point name=Unnamed dimension=5 values=[0.122372,0.13956,0.192465,0.297767,0.44332]
distribution = class=RandomMixture name=RandomMixture distribution collection=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=3 values=[1,1,-2,1,1,-3] constant=class=Point name=Unnamed dimension=2 values=[0,0]
range = class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[-20.8207,-28.1913] upper bound=class=Point name=Unnamed dimension=2 values=[20.8207,28.1913] finite lower bound=[1,1] finite upper bound=[1,1]
mean = class=Point name=Unnamed dimension=2 values=[0,0]
cov = class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[6,-4,-4,11]
sigma = class=Point name=Unnamed dimension=2 values=[2.44949,3.31662]
pdf      =0.0225079
pdf (ref)=0.0225079
pdf      =0.0139715
pdf (ref)=0.0139715
pdf      =0.00334166
pdf (ref)=0.00334166
pdf      =0.000307961
pdf (ref)=0.000307961
pdf      =1.09356e-05
pdf (ref)=1.09356e-05
pdf      =1.49624e-07
pdf (ref)=1.49624e-07
pdf      =0.0139715
pdf (ref)=0.0139715
pdf      =0.00542272
pdf (ref)=0.00542272
pdf      =0.000810972
pdf (ref)=0.000810972
pdf      =4.67313e-05
pdf (ref)=4.67313e-05
pdf      =1.03758e-06
pdf (ref)=1.03758e-06
pdf      =8.8767e-09
pdf (ref)=8.8767e-09
pdf      =0.00334166
pdf (ref)=0.00334166
pdf      =0.000810972
pdf (ref)=0.000810972
pdf      =7.58338e-05
pdf (ref)=7.58338e-05
pdf      =2.73233e-06
pdf (ref)=2.73233e-06
pdf      =3.7933e-08
pdf (ref)=3.7933e-08
pdf      =2.02915e-10
pdf (ref)=2.02915e-10
pdf      =0.000307961
pdf (ref)=0.000307961
pdf      =4.67313e-05
pdf (ref)=4.67313e-05
pdf      =2.73233e-06
pdf (ref)=2.73233e-06
pdf      =6.15563e-08
pdf (ref)=6.15563e-08
pdf      =5.34349e-10
pdf (ref)=5.34349e-10
pdf      =1.78727e-12
pdf (ref)=1.78727e-12
pdf      =1.09356e-05
pdf (ref)=1.09356e-05
pdf      =1.03758e-06
pdf (ref)=1.03758e-06
pdf      =3.7933e-08
pdf (ref)=3.7933e-08
pdf      =5.34349e-10
pdf (ref)=5.34349e-10
pdf      =2.90032e-12
pdf (ref)=2.90032e-12
pdf      =1.49624e-07
pdf (ref)=1.49624e-07
pdf      =8.8767e-09
pdf (ref)=8.8767e-09
pdf      =2.02915e-10
pdf (ref)=2.02915e-10
pdf      =1.78727e-12
pdf (ref)=1.78727e-12
new distribution = class=RandomMixture name=RandomMixture distribution collection=[class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=2 columns=3 values=[1,1,-2,1,1,-3] constant=class=Point name=Unnamed dimension=2 values=[0,0]
range = class=Interval name=Unnamed dimension=2 lower bound=class=Point name=Unnamed dimension=2 values=[-2,-3] upper bound=class=Point name=Unnamed dimension=2 values=[2,2] finite lower bound=[1,1] finite upper bound=[1,1]
mean = class=Point name=Unnamed dimension=2 values=[0,-0.5]
cov = class=CovarianceMatrix dimension=2 implementation=class=MatrixImplementation name=Unnamed rows=2 columns=2 values=[0.5,-0.333333,-0.333333,0.916667]
sigma = class=Point name=Unnamed dimension=2 values=[0.707107,0.957427]
pdf      =0.200008
pdf      =0.199953
pdf      =0.18257
pdf      =0.161365
pdf      =0.140147
pdf      =0.11893
pdf      =0.200012
pdf      =0.194237
pdf      =0.172999
pdf      =0.151788
pdf      =0.130572
pdf      =0.109357
pdf      =0.200032
pdf      =0.184647
pdf      =0.163427
pdf      =0.142211
pdf      =0.120996
pdf      =0.099784
pdf      =0.190057
pdf      =0.175051
pdf      =0.153858
pdf      =0.132633
pdf      =0.111423
pdf      =0.0902108
pdf      =0.164538
pdf      =0.155122
pdf      =0.144316
pdf      =0.123061
pdf      =0.101846
pdf      =0.0806394
pdf      =0.13901
pdf      =0.129584
pdf      =0.120154
pdf      =0.110695
pdf      =0.0922665
pdf      =0.0710676
3D distribution = class=RandomMixture name=RandomMixture distribution collection=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[0] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Mixture name=Mixture dimension=1 distributionCollection=[class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[2] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1],class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=[-2] sigma=class=Point name=Unnamed dimension=1 values=[1] correlationMatrix=class=CorrelationMatrix dimension=1 implementation=class=MatrixImplementation name=Unnamed rows=1 columns=1 values=[1]] weightsDistribution=class=UserDefined name=UserDefined dimension=1 points=class=Sample name=Unnamed implementation=class=SampleImplementation name=Unnamed size=2 dimension=1 data=[[0],[1]] probabilities=class=Point name=Unnamed dimension=2 values=[0.5,0.5],class=Uniform name=Uniform dimension=1 a=0 b=1,class=Uniform name=Uniform dimension=1 a=0 b=1] weights =class=Matrix implementation=class=MatrixImplementation name=Unnamed rows=3 columns=4 values=[1,0.5,-0.5,-0.05,1,-0.1,1,-0.05,1.2,-0.5,0.3,-0.8] constant=class=Point name=Unnamed dimension=3 values=[0,0,0]
range = class=Interval name=Unnamed dimension=3 lower bound=class=Point name=Unnamed dimension=3 values=[-8.63316,-13.5259,-5.59038] upper bound=class=Point name=Unnamed dimension=3 values=[9.13316,13.7759,5.99038] finite lower bound=[1,1,1] finite upper bound=[1,1,1]
mean = class=Point name=Unnamed dimension=3 values=[0.25,0.125,0.2]
cov = class=CovarianceMatrix dimension=3 implementation=class=MatrixImplementation name=Unnamed rows=3 columns=3 values=[1.11667,0.233333,-0.341667,0.233333,5.25771,-0.775,-0.341667,-0.775,0.473333]
sigma = class=Point name=Unnamed dimension=3 values=[1.05672,2.29297,0.687992]
pdf      =0.0128814
pdf      =0.0128655
pdf      =0.0122294
pdf      =0.00984818
pdf      =0.0234842
pdf      =0.020225
pdf      =0.0150424
pdf      =0.00949663
pdf      =0.0432697
pdf      =0.0385232
pdf      =0.0281784
pdf      =0.0180749
pdf      =0.044762
pdf      =0.0406428
pdf      =0.0308978
pdf      =0.0210441
pdf      =0.0129975
pdf      =0.0121201
pdf      =0.00968603
pdf      =0.0071769
pdf      =0.0247237
pdf      =0.0192342
pdf      =0.0131031
pdf      =0.00795833
pdf      =0.0400697
pdf      =0.0318194
pdf      =0.0226119
pdf      =0.0136759
pdf      =0.0348167
pdf      =0.0294142
pdf      =0.0218493
pdf      =0.0134862
pdf      =0.011291
pdf      =0.0091266
pdf      =0.00689789
pdf      =0.00454873
pdf      =0.0207392
pdf      =0.0154986
pdf      =0.00997757
pdf      =0.00537413
pdf      =0.0295955
pdf      =0.0230235
pdf      =0.0149557
pdf      =0.00725254
pdf      =0.0229623
pdf      =0.0183174
pdf      =0.0117906
pdf      =0.00422686
pdf      =0.00832467
pdf      =0.00628249
pdf      =0.00406557
pdf      =0.00186481
pdf      =0.0152402
pdf      =0.0104641
pdf      =0.00556431
pdf      =0.00128214
pdf      =0.0189734
pdf      =0.0129675
pdf      =0.00534378
pdf      =0.000220278
pdf      =0.0123168
pdf      =0.00770527
pdf      =0.00160947
pdf      =0
case 1, q=0.384146
case 1, q comp=0.000393214
case 2, q=-0.000393214
case 2, q comp=-0.384146
