72   , constant_(Point(1))  in RandomMixture()
108   , constant_(Point(1, constant))  in RandomMixture()
148   , constant_(Point(1, constant))  in RandomMixture()
189   , constant_(constant)  in RandomMixture()
231   , constant_()  in RandomMixture()
256   constant_ = Point(dimension, 0.0);  in RandomMixture()
270   , constant_(constant)  in RandomMixture()
332   constant_ = Point(dimension, 0.0);  in RandomMixture()
349     const Scalar c = constant_[0];  in computeRange()
368     Interval range(constant_[j], constant_[j]);  in computeRange()
391     Point m(constant_);  in computeRange()
413 …eturn (distributionCollection_ == other.distributionCollection_) && (constant_ == other.constant_);  in operator ==()
430       << " constant=" << constant_;  in __repr__()
445     if (constant_[marginal] != 0.0) oss << constant_[marginal];  in __str__()
449       if ((constant_[marginal] != 0.0) || (i > 0))  in __str__()
531       constant_ += w * mixture->constant_;  in setDistributionCollectionAndWeights()
570         constant_ += Point(weightCandidates[i]) * atom.getParameter()[0];  in setDistributionCollectionAndWeights()
685           constant_ += Point(1, parameters[1]) * w;  in setDistributionCollectionAndWeights()
697           constant_ += Point(1, parameters[2]) * w;  in setDistributionCollectionAndWeights()
720 …rm(pendingUniform.getA() + aggregatedMean + constant_[0], pendingUniform.getB() + aggregatedMean +…  in setDistributionCollectionAndWeights()
721           constant_[0] = 0.0;  in setDistributionCollectionAndWeights()
729 … distributionCollection_.add(Normal(aggregatedMean + constant_[0], std::sqrt(aggregatedVariance)));  in setDistributionCollectionAndWeights()
730           constant_[0] = 0.0;  in setDistributionCollectionAndWeights()
738         if (constant_[0] != 0.0)  in setDistributionCollectionAndWeights()
740 …pendingUniform = Uniform(pendingUniform.getA() + constant_[0], pendingUniform.getB() + constant_[0…  in setDistributionCollectionAndWeights()
741           constant_[0] = 0.0;  in setDistributionCollectionAndWeights()
986     distributionCollection_.add(Dirac(constant_));  in setDistributionCollectionAndWeights()
989     constant_[0] = 0.0;  in setDistributionCollectionAndWeights()
1023   if (constant != constant_)  in setConstant()
1026     constant_ = constant;  in setConstant()
1035   return constant_;  in getConstant()
1069   return weights_ * realization + constant_;  in getRealization()
1081   return weights_.getImplementation()->genSampleProd(sample, true, true, 'R') + constant_;  in getSample()
1093   return weights_.getImplementation()->genSampleProd(sample, true, true, 'R') + constant_;  in getSampleByQMC()
1257     const Point u(point - constant_);  in computePDF()
1279     const Scalar z0 = point[0] - constant_[0];  in computePDF()
2241 …Collection_[0].computeCDF((x - constant_[0]) / alpha) : distributionCollection_[0].computeCompleme…  in computeCDF()
2261     const Scalar z0 = x - constant_[0];  in computeCDF()
2367 …if (alpha > 0.0) return distributionCollection_[0].computeComplementaryCDF((x - constant_[0]) / al…  in computeComplementaryCDF()
2369     return distributionCollection_[0].computeCDF((x - constant_[0]) / alpha);  in computeComplementaryCDF()
2437 …tionCollection_[0].computeProbability(Interval((upper - constant_[0]) / alpha, (lower - constant_[…  in computeProbability()
2438 …tionCollection_[0].computeProbability(Interval((lower - constant_[0]) / alpha, (upper - constant_[…  in computeProbability()
2519     return q * alpha + constant_[0];  in computeScalarQuantile()
2590   Complex logCfValue(0.0, constant_[0] * x);  in computeLogCharacteristicFunction()
2611   for (UnsignedInteger i = 0; i < dimension; ++i) logCfValue += Complex(0.0, x[i] * constant_[i]);  in computeLogCharacteristicFunction()
2709     return distributionCollection_[0].computePDFGradient((point - constant_) / alpha) * factor;  in computePDFGradient()
2720 …if (alpha > 0.0) return distributionCollection_[0].computeCDFGradient((point - constant_) / alpha);  in computeCDFGradient()
2722     return distributionCollection_[0].computeCDFGradient((point - constant_) / alpha) * (-1.0);  in computeCDFGradient()
2730   mean_ = constant_;  in computeMean()
2915     positionIndicator_ = constant_[0];  in computePositionIndicator()
3271 …n marginal(new RandomMixture(distributionCollection_, weights_.getRow(i), Point(1, constant_[i])));  in getMarginal()
3291     marginalConstant[i] = constant_[index_i];  in getMarginal()
3370 …ibutionCollection_[0].getSupport() * Point(*weights_.getColumn(0).getImplementation()) + constant_;  in getSupport()
3377       supportCandidates[i] = scaling * support0(i, 0) + constant_;  in getSupport()
3390         nextSupport[i] = scaling * supportNext(i, 0) + constant_;  in getSupport()
3422   adv.saveAttribute( "constant_", constant_ );  in save()
3450   adv.loadAttribute( "constant_", constant_ );  in load()