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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/
H A DParametrizedDistribution.cxx72 return distribution_.computeDDF(point); in computeDDF()
79 return distribution_.computePDF(point); in computePDF()
85 return distribution_.computeLogPDF(point); in computeLogPDF()
92 return distribution_.computeCDF(point); in computeCDF()
179 return distribution_.isElliptical(); in isElliptical()
186 return distribution_.isContinuous(); in isContinuous()
204 return distribution_.getRoughness(); in getRoughness()
210 return distribution_.getMean(); in getMean()
222 return distribution_.getSkewness(); in getSkewness()
228 return distribution_.getKurtosis(); in getKurtosis()
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H A DMaximumDistribution.cxx37 , distribution_() in MaximumDistribution()
50 , distribution_() in MaximumDistribution()
62 , distribution_() in MaximumDistribution()
85 , distribution_() in MaximumDistribution()
100 return (distribution_ == other.distribution_); in operator ==()
184 return distribution_.computeCDF(Point(distribution_.getDimension(), point[0])); in computeCDF()
202 distribution_ = clone; in setParametersCollection()
217 distribution_ = distribution; in setDistribution()
229 return distribution_; in getDistribution()
240 return distribution_.isDiscrete(); in isDiscrete()
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H A DMarginalDistribution.cxx36 , distribution_() in MarginalDistribution()
48 , distribution_() in MarginalDistribution()
60 , distribution_() in MarginalDistribution()
72 return (distribution_ == other.distribution_) && (indices_ == other.indices_); in operator ==()
97 << distribution_.__str__() in __str__()
114 return distribution_; in getDistribution()
136 distribution_ = distribution; in setDistributionAndIndices()
363 return distribution_.isElliptical(); in isElliptical()
369 return distribution_.isContinuous(); in isContinuous()
375 return distribution_.isDiscrete(); in isDiscrete()
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H A DTruncatedDistribution.cxx46 , distribution_(Uniform(0.0, 1.0)) in TruncatedDistribution()
156 << " distribution=" << distribution_ in __repr__()
179 Distribution localDistribution(distribution_); in getSimplifiedVersion()
191 if (distribution_.getRange() == range) in getSimplifiedVersion()
426 Point point(distribution_.getParameter()); in getParameter()
454 Distribution newDistribution(distribution_); in setParameter()
515 distribution_ = distribution; in setDistribution()
536 return distribution_; in getDistribution()
593 return distribution_.isContinuous(); in isContinuous()
599 return distribution_.isDiscrete(); in isDiscrete()
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H A DDiscreteCompoundDistribution.cxx156 distribution_ = UserDefined(points, weights); in setBaseAndCompoundDistributions()
174 return distribution_.computeCDF(point); in computeCDF()
185 return distribution_.computePDFGradient(point); in computePDFGradient()
191 return distribution_.computeCDFGradient(point); in computeCDFGradient()
204 return distribution_.computeEntropy(); in computeEntropy()
222 return distribution_.getSupport(interval); in getSupport()
228 return distribution_.getStandardDeviation(); in getStandardDeviation()
234 return distribution_.getSkewness(); in getSkewness()
240 return distribution_.getKurtosis(); in getKurtosis()
246 return distribution_.getParameter(); in getParameter()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Model/
H A DUsualRandomVector.cxx34 , distribution_(distribution) in UsualRandomVector()
51 << " distribution=" << distribution_; in __repr__()
61 return distribution_.getDimension(); in getDimension()
67 return distribution_.getRealization(); in getRealization()
73 Sample sample(distribution_.getSample(size)); in getSample()
81 return distribution_.getMean(); in getMean()
87 return distribution_.getCovariance(); in getCovariance()
107 return distribution_; in getDistribution()
112 return distribution_.getParameter(); in getParameter()
117 distribution_.setParameter(parameter); in setParameter()
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H A DSklarCopula.cxx45 , distribution_() in SklarCopula()
57 , distribution_(distribution) in SklarCopula()
76 return distribution_ == other.distribution_; in operator ==()
92 << " distribution=" << distribution_; in __repr__()
146 Point result(distribution_.computeDDF(x)); in computeDDF()
173 return distribution_.computePDF(x) / factor; in computePDF()
192 return distribution_.computeCDF(x); in computeCDF()
384 return distribution_.getParameter(); in getParameter()
416 distribution_ = distribution; in setDistribution()
422 return distribution_; in getDistribution()
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H A DConditionalRandomVector.cxx42 distribution_(distribution), in ConditionalRandomVector()
63 << " distribution=" << distribution_ in __repr__()
76 return distribution_.getDimension(); in getDimension()
90 distribution_.setParameter(parameters); in getRealization()
91 return distribution_.getRealization(); in getRealization()
97 return distribution_; in getDistribution()
109 Point parameter(distribution_.getParameter()); in getParameter()
122 distribution_.setParameter(distributionParameter); in setParameter()
130 Description description(distribution_.getParameterDescription()); in getParameterDescription()
139 adv.saveAttribute( "distribution_", distribution_ ); in save()
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H A DDistributionFactoryResult.cxx42 , distribution_(distribution) in DistributionFactoryResult()
45 if (distribution_.getParameterDimension() != parameterDistribution.getDimension()) in DistributionFactoryResult()
46 …on(HERE) << "The dimension of the parameter of the distribution (" << distribution_.getParameterDi… in DistributionFactoryResult()
59 distribution_ = distribution; in setDistribution()
64 return distribution_; in getDistribution()
92 adv.saveAttribute("distribution_", distribution_); in save()
100 adv.loadAttribute("distribution_", distribution_); in load()
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Process/
H A DWhiteNoise.cxx38 , distribution_() in WhiteNoise()
47 , distribution_() in WhiteNoise()
57 , distribution_() in WhiteNoise()
76 << " distribution=" << distribution_ ; in __repr__()
83 oss << getClassName() << "(" << distribution_.__str__() << ")"; in __str__()
100 …return (distribution_.isElliptical() && distribution_.getStandardDistribution().hasIndependentCopu… in isNormal()
141 return new WhiteNoise(distribution_.getMarginal(indices), mesh_); in getMarginal()
147 return distribution_; in getDistribution()
153 distribution_ = distribution; in setDistribution()
162 adv.saveAttribute( "distribution_", distribution_ ); in save()
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H A DFunctionalBasisProcess.cxx40 , distribution_(Normal()) in FunctionalBasisProcess()
53 , distribution_(distribution) in FunctionalBasisProcess()
67 , distribution_(distribution) in FunctionalBasisProcess()
87 << " distribution=" << distribution_ in __repr__()
106 if (distribution_.hasIndependentCopula()) in getCovarianceModel()
131 …return (distribution_.isElliptical() && distribution_.getStandardDistribution().hasIndependentCopu… in isNormal()
137 state_ = distribution_.getRealization(); in getRealization()
157 state_ = distribution_.getRealization(); in getContinuousRealization()
207 return distribution_; in getDistribution()
215 distribution_ = distribution; in setDistribution()
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H A DRandomWalk.cxx38 , distribution_(Normal()) in RandomWalk()
41 setDescription(distribution_.getDescription()); in RandomWalk()
49 , distribution_() in RandomWalk()
63 , distribution_() in RandomWalk()
84 << ", distribution=" << distribution_; in __repr__()
111 …return (distribution_.isElliptical() && distribution_.getStandardDistribution().hasIndependentCopu… in isNormal()
159 return distribution_; in getDistribution()
166 distribution_ = distribution; in setDistribution()
167 setDescription(distribution_.getDescription()); in setDistribution()
193 adv.saveAttribute( "distribution_", distribution_ ); in save()
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/dports/science/py-OpenMC/openmc-0.12.2/src/
H A Dsecondary_kalbach.cpp113 distribution_.push_back(std::move(d)); in KalbachMann()
154 n_discrete = distribution_[l].n_discrete; in sample()
156 double c_k = distribution_[l].c[0]; in sample()
163 c_k = distribution_[l].c[k]; in sample()
174 c_k1 = distribution_[l].c[k+1]; in sample()
180 double E_l_k = distribution_[l].e_out[k]; in sample()
181 double p_l_k = distribution_[l].p[k]; in sample()
192 km_r = distribution_[l].r[k]; in sample()
193 km_a = distribution_[l].a[k]; in sample()
210 (distribution_[l].r[k+1] - distribution_[l].r[k]); in sample()
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H A Dsecondary_correlated.cpp152 distribution_.push_back(std::move(d)); in CorrelatedAngleEnergy()
180 int n_discrete = distribution_[i].n_discrete; in sample()
185 n_discrete = distribution_[i + 1].n_discrete; in sample()
193 n_energy_out = distribution_[l].e_out.size(); in sample()
194 n_discrete = distribution_[l].n_discrete; in sample()
196 double c_k = distribution_[l].c[0]; in sample()
203 c_k = distribution_[l].c[k]; in sample()
214 c_k1 = distribution_[l].c[k + 1]; in sample()
221 double E_l_k = distribution_[l].e_out[k]; in sample()
222 double p_l_k = distribution_[l].p[k]; in sample()
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H A Ddistribution_energy.cpp146 distribution_.push_back(std::move(d)); in ContinuousTabular()
186 int n_discrete = distribution_[i].n_discrete; in sample()
191 n_discrete = distribution_[i+1].n_discrete; in sample()
199 n_energy_out = distribution_[l].e_out.size(); in sample()
200 n_discrete = distribution_[l].n_discrete; in sample()
202 double c_k = distribution_[l].c[0]; in sample()
209 c_k = distribution_[l].c[k]; in sample()
220 c_k1 = distribution_[l].c[k+1]; in sample()
226 double E_l_k = distribution_[l].e_out[k]; in sample()
227 double p_l_k = distribution_[l].p[k]; in sample()
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/dports/science/openmc/openmc-0.12.2/src/
H A Dsecondary_kalbach.cpp113 distribution_.push_back(std::move(d)); in KalbachMann()
154 n_discrete = distribution_[l].n_discrete; in sample()
156 double c_k = distribution_[l].c[0]; in sample()
163 c_k = distribution_[l].c[k]; in sample()
174 c_k1 = distribution_[l].c[k+1]; in sample()
180 double E_l_k = distribution_[l].e_out[k]; in sample()
181 double p_l_k = distribution_[l].p[k]; in sample()
192 km_r = distribution_[l].r[k]; in sample()
193 km_a = distribution_[l].a[k]; in sample()
210 (distribution_[l].r[k+1] - distribution_[l].r[k]); in sample()
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H A Dsecondary_correlated.cpp152 distribution_.push_back(std::move(d)); in CorrelatedAngleEnergy()
180 int n_discrete = distribution_[i].n_discrete; in sample()
185 n_discrete = distribution_[i + 1].n_discrete; in sample()
193 n_energy_out = distribution_[l].e_out.size(); in sample()
194 n_discrete = distribution_[l].n_discrete; in sample()
196 double c_k = distribution_[l].c[0]; in sample()
203 c_k = distribution_[l].c[k]; in sample()
214 c_k1 = distribution_[l].c[k + 1]; in sample()
221 double E_l_k = distribution_[l].e_out[k]; in sample()
222 double p_l_k = distribution_[l].p[k]; in sample()
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H A Ddistribution_energy.cpp146 distribution_.push_back(std::move(d)); in ContinuousTabular()
186 int n_discrete = distribution_[i].n_discrete; in sample()
191 n_discrete = distribution_[i+1].n_discrete; in sample()
199 n_energy_out = distribution_[l].e_out.size(); in sample()
200 n_discrete = distribution_[l].n_discrete; in sample()
202 double c_k = distribution_[l].c[0]; in sample()
209 c_k = distribution_[l].c[k]; in sample()
220 c_k1 = distribution_[l].c[k+1]; in sample()
226 double E_l_k = distribution_[l].e_out[k]; in sample()
227 double p_l_k = distribution_[l].p[k]; in sample()
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/dports/finance/quantlib/QuantLib-1.20/ql/experimental/math/
H A Dhybridsimulatedannealingfunctors.hpp64 distribution_(0.0, 1.0), gaussian_(generator_, distribution_) {}; in SamplerLogNormal()
83 normal_random distribution_; member in QuantLib::SamplerLogNormal
96 distribution_(0.0, 1.0), gaussian_(generator_, distribution_) {}; in SamplerGaussian()
115 normal_random distribution_; member in QuantLib::SamplerGaussian
162 normal_random distribution_; member in QuantLib::SamplerRingGaussian
210 normal_random distribution_; member in QuantLib::SamplerMirrorGaussian
226 distribution_(0.0, 1.0), cauchy_(generator_, distribution_) {}; in SamplerCauchy()
239 cauchy_random distribution_; member in QuantLib::SamplerCauchy
281 uniform distribution_; member in QuantLib::SamplerVeryFastAnnealing
315 uniform distribution_; member in QuantLib::ProbabilityBoltzmann
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Classification/
H A DMinimumVolumeClassifier.cxx44 , distribution_(distribution) in MinimumVolumeClassifier()
71 << " distribution=" << distribution_ in __repr__()
84 if (inP.getDimension() != distribution_.getDimension()) in classify()
87 const Scalar pdf = distribution_.computeLogPDF(inP); in classify()
124 const Scalar pdf = distribution_.computeLogPDF(inP); in grade()
136 return distribution_.getDimension(); in getDimension()
142 return distribution_; in getDistribution()
155 adv.saveAttribute( "distribution_", distribution_ ); in save()
163 adv.loadAttribute( "distribution_", distribution_ ); in load()
185 Graph pdfGraph(distribution_.getMarginal(i).drawPDF()); in drawContour()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Transformation/Rosenblatt/
H A DRosenblattEvaluation.cxx36 , distribution_() in RosenblattEvaluation()
44 , distribution_(distribution) in RosenblattEvaluation()
63 const Point q(distribution_.computeSequentialConditionalCDF(inP)); in operator ()()
78 return distribution_.getDimension(); in getInputDimension()
84 return distribution_.getDimension(); in getOutputDimension()
93 << " distribution=" << distribution_; in __repr__()
101 << "(" << distribution_ in __str__()
102 << "->Normal(" << distribution_.getDimension() << ")"; in __str__()
110 adv.saveAttribute( "distribution_", distribution_ ); in save()
117 adv.loadAttribute( "distribution_", distribution_ ); in load()
H A DInverseRosenblattEvaluation.cxx36 , distribution_() in InverseRosenblattEvaluation()
44 , distribution_(distribution) in InverseRosenblattEvaluation()
64 const Point y(distribution_.computeSequentialConditionalQuantile(q)); in operator ()()
87 return distribution_.getDimension(); in getInputDimension()
93 return distribution_.getDimension(); in getOutputDimension()
102 << " distribution=" << distribution_; in __repr__()
110 << "(Normal(" << distribution_.getDimension() << ")->" in __str__()
111 << distribution_ << ")"; in __str__()
119 adv.saveAttribute( "distribution_", distribution_ ); in save()
126 adv.loadAttribute( "distribution_", distribution_ ); in load()
/dports/graphics/pcl-pointclouds/pcl-pcl-1.12.0/common/include/pcl/common/impl/
H A Drandom.hpp54 : distribution_ (min, max) in UniformGenerator()
65 , distribution_ (parameters_.min, parameters_.max) in UniformGenerator()
90 distribution_.param (params); in setParameters()
91 distribution_.reset (); in setParameters()
105 distribution_.param (params); in setParameters()
106 distribution_.reset (); in setParameters()
114 : distribution_ (mean, sigma) in NormalGenerator()
150 distribution_.param (params); in setParameters()
151 distribution_.reset (); in setParameters()
162 distribution_.param (params); in setParameters()
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/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/WeightedExperiments/
H A DWeightedExperimentImplementation.cxx37 , distribution_() in WeightedExperimentImplementation()
46 , distribution_() in WeightedExperimentImplementation()
57 , distribution_(distribution) in WeightedExperimentImplementation()
76 << " distribution=" << distribution_ in __repr__()
84 distribution_ = distribution; in setDistribution()
89 return distribution_; in getDistribution()
126 adv.saveAttribute("distribution_", distribution_); in save()
134 adv.loadAttribute("distribution_", distribution_); in load()
H A DLHSExperiment.cxx39 , marginals_(1, distribution_) in LHSExperiment()
46 setDistribution(distribution_); in LHSExperiment()
54 , marginals_(1, distribution_) in LHSExperiment()
61 setDistribution(distribution_); in LHSExperiment()
92 << " distribution=" << distribution_ in __repr__()
103 << "(distribution=" << distribution_ in __str__()
113 const UnsignedInteger dimension = distribution_.getDimension(); in generateStandard()
127 sample.setDescription(distribution_.getDescription()); in generateWithWeights()
164 shuffle_ = ComputeShuffle(distribution_.getDimension(), size_); in getShuffle()
221 setDistribution(distribution_); in load()

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