EigenRand  0.5.0
 
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NormalExp.h File Reference
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Classes

class  Eigen::Rand::StdNormalGen< _Scalar >
 Generator of reals on the standard normal distribution. More...
 
class  Eigen::Rand::NormalGen< _Scalar >
 Generator of reals on a normal distribution. More...
 
class  Eigen::Rand::LognormalGen< _Scalar >
 Generator of reals on a lognormal distribution. More...
 
class  Eigen::Rand::StudentTGen< _Scalar >
 Generator of reals on a Student's t distribution. More...
 
class  Eigen::Rand::ExponentialGen< _Scalar >
 Generator of reals on an exponential distribution. More...
 
class  Eigen::Rand::GammaGen< _Scalar >
 Generator of reals on a gamma distribution. More...
 
class  Eigen::Rand::WeibullGen< _Scalar >
 Generator of reals on a Weibull distribution. More...
 
class  Eigen::Rand::ExtremeValueGen< _Scalar >
 Generator of reals on an extreme value distribution. More...
 
class  Eigen::Rand::ChiSquaredGen< _Scalar >
 Generator of reals on a chi-squared distribution. More...
 
class  Eigen::Rand::CauchyGen< _Scalar >
 Generator of reals on a Cauchy distribution. More...
 
class  Eigen::Rand::BetaGen< _Scalar >
 Generator of reals on a beta distribution. More...
 
class  Eigen::Rand::FisherFGen< _Scalar >
 Generator of reals on a Fisher's f distribution. More...
 

Namespaces

namespace  Eigen::Rand
 namespace for EigenRand
 

Typedefs

template<typename Derived , typename Urng >
using Eigen::Rand::BetaType = CwiseNullaryOp< internal::scalar_rng_adaptor< BetaGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::CauchyType = CwiseNullaryOp< internal::scalar_rng_adaptor< CauchyGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Rhs , typename Urng >
using Eigen::Rand::CauchyVVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< CauchyVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, typename Rhs::Scalar, Urng, true >, const Lhs, const Rhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::CauchyVSType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< CauchyVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, const Derived, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived > >
 
template<typename Derived , typename Urng >
using Eigen::Rand::CauchySVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< CauchyVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::NormalType = CwiseNullaryOp< internal::scalar_rng_adaptor< StdNormalGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::Normal2Type = CwiseNullaryOp< internal::scalar_rng_adaptor< NormalGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Rhs , typename Urng >
using Eigen::Rand::NormalVVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< NormalVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, typename Rhs::Scalar, Urng, true >, const Lhs, const Rhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::NormalVSType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< NormalVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, const Derived, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived > >
 
template<typename Derived , typename Urng >
using Eigen::Rand::NormalSVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< NormalVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::LognormalType = CwiseNullaryOp< internal::scalar_rng_adaptor< LognormalGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Rhs , typename Urng >
using Eigen::Rand::LognormalVVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< LognormalVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, typename Rhs::Scalar, Urng, true >, const Lhs, const Rhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::LognormalVSType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< LognormalVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, const Derived, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived > >
 
template<typename Derived , typename Urng >
using Eigen::Rand::LognormalSVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< LognormalVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::StudentTType = CwiseNullaryOp< internal::scalar_rng_adaptor< StudentTGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Urng >
using Eigen::Rand::StudentTVType = CwiseUnaryOp< internal::scalar_unary_rng_adaptor< StudentTVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, Urng, true >, const Lhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::ExponentialType = CwiseNullaryOp< internal::scalar_rng_adaptor< ExponentialGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Urng >
using Eigen::Rand::ExponentialVType = CwiseUnaryOp< internal::scalar_unary_rng_adaptor< ExponentialVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, Urng, true >, const Lhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::GammaType = CwiseNullaryOp< internal::scalar_rng_adaptor< GammaGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::WeibullType = CwiseNullaryOp< internal::scalar_rng_adaptor< WeibullGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Rhs , typename Urng >
using Eigen::Rand::WeibullVVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< WeibullVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, typename Rhs::Scalar, Urng, true >, const Lhs, const Rhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::WeibullVSType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< WeibullVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, const Derived, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived > >
 
template<typename Derived , typename Urng >
using Eigen::Rand::WeibullSVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< WeibullVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::ExtremeValueType = CwiseNullaryOp< internal::scalar_rng_adaptor< ExtremeValueGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Lhs , typename Rhs , typename Urng >
using Eigen::Rand::ExtremeValueVVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< ExtremeValueVGen< typename Lhs::Scalar >, typename Lhs::Scalar, typename Lhs::Scalar, typename Rhs::Scalar, Urng, true >, const Lhs, const Rhs >
 
template<typename Derived , typename Urng >
using Eigen::Rand::ExtremeValueVSType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< ExtremeValueVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, const Derived, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived > >
 
template<typename Derived , typename Urng >
using Eigen::Rand::ExtremeValueSVType = CwiseBinaryOp< internal::scalar_binary_rng_adaptor< ExtremeValueVGen< typename Derived::Scalar >, typename Derived::Scalar, typename Derived::Scalar, typename Derived::Scalar, Urng, true >, CwiseNullaryOp< internal::scalar_constant_op< typename Derived::Scalar >, const Derived >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::ChiSquaredType = CwiseNullaryOp< internal::scalar_rng_adaptor< ChiSquaredGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 
template<typename Derived , typename Urng >
using Eigen::Rand::FisherFType = CwiseNullaryOp< internal::scalar_rng_adaptor< FisherFGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived >
 

Functions

template<typename Derived , typename Urng >
const BetaType< Derived, Urng > Eigen::Rand::beta (Index rows, Index cols, Urng &&urng, typename Derived::Scalar a=1, typename Derived::Scalar b=1)
 generates reals on the beta distribution. More...
 
template<typename Derived , typename Urng >
const BetaType< Derived, Urng > Eigen::Rand::betaLike (Derived &o, Urng &&urng, typename Derived::Scalar a=1, typename Derived::Scalar b=1)
 generates reals on the beta distribution. More...
 
template<typename Derived , typename Urng >
const CauchyType< Derived, Urng > Eigen::Rand::cauchy (Index rows, Index cols, Urng &&urng, typename Derived::Scalar a=0, typename Derived::Scalar b=1)
 generates reals on the Cauchy distribution. More...
 
template<typename Derived , typename Urng >
const CauchyType< Derived, Urng > Eigen::Rand::cauchyLike (Derived &o, Urng &&urng, typename Derived::Scalar a=0, typename Derived::Scalar b=1)
 generates reals on the Cauchy distribution. More...
 
template<typename Lhs , typename Rhs , typename Urng >
const CauchyVVType< Lhs, Rhs, Urng > Eigen::Rand::cauchy (Urng &&urng, const ArrayBase< Lhs > &a, const ArrayBase< Rhs > &b)
 generates reals on the Cauchy distribution. More...
 
template<typename Lhs , typename Urng >
const CauchyVSType< Lhs, Urng > Eigen::Rand::cauchy (Urng &&urng, const ArrayBase< Lhs > &a, typename Lhs::Scalar b)
 
template<typename Rhs , typename Urng >
const CauchySVType< Rhs, Urng > Eigen::Rand::cauchy (Urng &&urng, typename Rhs::Scalar a, const ArrayBase< Rhs > &b)
 
template<typename Derived , typename Urng >
const NormalType< Derived, Urng > Eigen::Rand::normal (Index rows, Index cols, Urng &&urng)
 generates reals on a standard normal distribution (mean = 0, stdev=1) More...
 
template<typename Derived , typename Urng >
const NormalType< Derived, Urng > Eigen::Rand::normalLike (Derived &o, Urng &&urng)
 generates reals on a standard normal distribution (mean = 0, stdev=1) More...
 
template<typename Derived , typename Urng >
const Normal2Type< Derived, Urng > Eigen::Rand::normal (Index rows, Index cols, Urng &&urng, typename Derived::Scalar mean, typename Derived::Scalar stdev=1)
 generates reals on a normal distribution with arbitrary mean and stdev. More...
 
template<typename Derived , typename Urng >
const Normal2Type< Derived, Urng > Eigen::Rand::normalLike (Derived &o, Urng &&urng, typename Derived::Scalar mean, typename Derived::Scalar stdev=1)
 generates reals on a normal distribution with arbitrary mean and stdev. More...
 
template<typename Lhs , typename Rhs , typename Urng >
const NormalVVType< Lhs, Rhs, Urng > Eigen::Rand::normal (Urng &&urng, const ArrayBase< Lhs > &a, const ArrayBase< Rhs > &b)
 generates reals on a normal distribution with arbitrary mean and stdev. More...
 
template<typename Lhs , typename Urng >
const NormalVSType< Lhs, Urng > Eigen::Rand::normal (Urng &&urng, const ArrayBase< Lhs > &a, typename Lhs::Scalar b)
 
template<typename Rhs , typename Urng >
const NormalSVType< Rhs, Urng > Eigen::Rand::normal (Urng &&urng, typename Rhs::Scalar a, const ArrayBase< Rhs > &b)
 
template<typename Derived , typename Urng >
const LognormalType< Derived, Urng > Eigen::Rand::lognormal (Index rows, Index cols, Urng &&urng, typename Derived::Scalar mean=0, typename Derived::Scalar stdev=1)
 generates reals on a lognormal distribution with arbitrary mean and stdev. More...
 
template<typename Derived , typename Urng >
const LognormalType< Derived, Urng > Eigen::Rand::lognormalLike (Derived &o, Urng &&urng, typename Derived::Scalar mean=0, typename Derived::Scalar stdev=1)
 generates reals on a lognormal distribution with arbitrary mean and stdev. More...
 
template<typename Lhs , typename Rhs , typename Urng >
const LognormalVVType< Lhs, Rhs, Urng > Eigen::Rand::lognormal (Urng &&urng, const ArrayBase< Lhs > &a, const ArrayBase< Rhs > &b)
 generates reals on a lognormal distribution with arbitrary mean and stdev. More...
 
template<typename Lhs , typename Urng >
const LognormalVSType< Lhs, Urng > Eigen::Rand::lognormal (Urng &&urng, const ArrayBase< Lhs > &a, typename Lhs::Scalar b)
 
template<typename Rhs , typename Urng >
const LognormalSVType< Rhs, Urng > Eigen::Rand::lognormal (Urng &&urng, typename Rhs::Scalar a, const ArrayBase< Rhs > &b)
 
template<typename Derived , typename Urng >
const StudentTType< Derived, Urng > Eigen::Rand::studentT (Index rows, Index cols, Urng &&urng, typename Derived::Scalar n=1)
 generates reals on the Student's t distribution with arbirtrary degress of freedom. More...
 
template<typename Derived , typename Urng >
const StudentTType< Derived, Urng > Eigen::Rand::studentTLike (Derived &o, Urng &&urng, typename Derived::Scalar n=1)
 generates reals on the Student's t distribution with arbirtrary degress of freedom. More...
 
template<typename Lhs , typename Urng >
const StudentTVType< Lhs, Urng > Eigen::Rand::studentT (Urng &&urng, const ArrayBase< Lhs > &a)
 generates reals on the Student's t distribution with arbirtrary degress of freedom. More...
 
template<typename Derived , typename Urng >
const ExponentialType< Derived, Urng > Eigen::Rand::exponential (Index rows, Index cols, Urng &&urng, typename Derived::Scalar lambda=1)
 generates reals on an exponential distribution with arbitrary scale parameter. More...
 
template<typename Derived , typename Urng >
const ExponentialType< Derived, Urng > Eigen::Rand::exponentialLike (Derived &o, Urng &&urng, typename Derived::Scalar lambda=1)
 generates reals on an exponential distribution with arbitrary scale parameter. More...
 
template<typename Lhs , typename Urng >
const ExponentialVType< Lhs, Urng > Eigen::Rand::exponential (Urng &&urng, const ArrayBase< Lhs > &a)
 generates reals on an exponential distribution with arbitrary scale parameter. More...
 
template<typename Derived , typename Urng >
const GammaType< Derived, Urng > Eigen::Rand::gamma (Index rows, Index cols, Urng &&urng, typename Derived::Scalar alpha=1, typename Derived::Scalar beta=1)
 generates reals on a gamma distribution with arbitrary shape and scale parameter. More...
 
template<typename Derived , typename Urng >
const GammaType< Derived, Urng > Eigen::Rand::gammaLike (Derived &o, Urng &&urng, typename Derived::Scalar alpha=1, typename Derived::Scalar beta=1)
 generates reals on a gamma distribution with arbitrary shape and scale parameter. More...
 
template<typename Derived , typename Urng >
const WeibullType< Derived, Urng > Eigen::Rand::weibull (Index rows, Index cols, Urng &&urng, typename Derived::Scalar a=1, typename Derived::Scalar b=1)
 generates reals on a Weibull distribution with arbitrary shape and scale parameter. More...
 
template<typename Derived , typename Urng >
const WeibullType< Derived, Urng > Eigen::Rand::weibullLike (Derived &o, Urng &&urng, typename Derived::Scalar a=1, typename Derived::Scalar b=1)
 generates reals on a Weibull distribution with arbitrary shape and scale parameter. More...
 
template<typename Lhs , typename Rhs , typename Urng >
const WeibullVVType< Lhs, Rhs, Urng > Eigen::Rand::weibull (Urng &&urng, const ArrayBase< Lhs > &a, const ArrayBase< Rhs > &b)
 generates reals on a Weibull distribution with arbitrary shape and scale parameter. More...
 
template<typename Lhs , typename Urng >
const WeibullVSType< Lhs, Urng > Eigen::Rand::weibull (Urng &&urng, const ArrayBase< Lhs > &a, typename Lhs::Scalar b)
 
template<typename Rhs , typename Urng >
const WeibullSVType< Rhs, Urng > Eigen::Rand::weibull (Urng &&urng, typename Rhs::Scalar a, const ArrayBase< Rhs > &b)
 
template<typename Derived , typename Urng >
const ExtremeValueType< Derived, Urng > Eigen::Rand::extremeValue (Index rows, Index cols, Urng &&urng, typename Derived::Scalar a=0, typename Derived::Scalar b=1)
 generates reals on an extreme value distribution (a.k.a Gumbel Type I, log-Weibull, Fisher-Tippett Type I) with arbitrary shape and scale parameter. More...
 
template<typename Derived , typename Urng >
const ExtremeValueType< Derived, Urng > Eigen::Rand::extremeValueLike (Derived &o, Urng &&urng, typename Derived::Scalar a=0, typename Derived::Scalar b=1)
 generates reals on an extreme value distribution (a.k.a Gumbel Type I, log-Weibull, Fisher-Tippett Type I) with arbitrary shape and scale parameter. More...
 
template<typename Lhs , typename Rhs , typename Urng >
const ExtremeValueVVType< Lhs, Rhs, Urng > Eigen::Rand::extremeValue (Urng &&urng, const ArrayBase< Lhs > &a, const ArrayBase< Rhs > &b)
 generates reals on an extreme value distribution (a.k.a Gumbel Type I, log-Weibull, Fisher-Tippett Type I) with arbitrary shape and scale parameter. More...
 
template<typename Lhs , typename Urng >
const ExtremeValueVSType< Lhs, Urng > Eigen::Rand::extremeValue (Urng &&urng, const ArrayBase< Lhs > &a, typename Lhs::Scalar b)
 
template<typename Rhs , typename Urng >
const ExtremeValueSVType< Rhs, Urng > Eigen::Rand::extremeValue (Urng &&urng, typename Rhs::Scalar a, const ArrayBase< Rhs > &b)
 
template<typename Derived , typename Urng >
const ChiSquaredType< Derived, Urng > Eigen::Rand::chiSquared (Index rows, Index cols, Urng &&urng, typename Derived::Scalar n=1)
 generates reals on the Chi-squared distribution with arbitrary degrees of freedom. More...
 
template<typename Derived , typename Urng >
const ChiSquaredType< Derived, Urng > Eigen::Rand::chiSquaredLike (Derived &o, Urng &&urng, typename Derived::Scalar n=1)
 generates reals on the Chi-squared distribution with arbitrary degrees of freedom. More...
 
template<typename Derived , typename Urng >
const FisherFType< Derived, Urng > Eigen::Rand::fisherF (Index rows, Index cols, Urng &&urng, typename Derived::Scalar m=1, typename Derived::Scalar n=1)
 generates reals on the Fisher's F distribution. More...
 
template<typename Derived , typename Urng >
const FisherFType< Derived, Urng > Eigen::Rand::fisherFLike (Derived &o, Urng &&urng, typename Derived::Scalar m=1, typename Derived::Scalar n=1)
 generates reals on the Fisher's F distribution. More...
 

Detailed Description

Author
bab2min (bab2m.nosp@m.in@g.nosp@m.mail..nosp@m.com)
Version
0.5.0
Date
2023-01-31
Copyright
Copyright (c) 2020-2021