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template<typename Derived , typename Urng > |
using | Eigen::Rand::UniformIntType = CwiseNullaryOp< internal::scalar_rng_adaptor< UniformIntGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::DiscreteFType = CwiseNullaryOp< internal::scalar_rng_adaptor< DiscreteGen< typename Derived::Scalar, float >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::DiscreteDType = CwiseNullaryOp< internal::scalar_rng_adaptor< DiscreteGen< typename Derived::Scalar, double >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::DiscreteType = CwiseNullaryOp< internal::scalar_rng_adaptor< DiscreteGen< typename Derived::Scalar, int32_t >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::PoissonType = CwiseNullaryOp< internal::scalar_rng_adaptor< PoissonGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::BinomialType = CwiseNullaryOp< internal::scalar_rng_adaptor< BinomialGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
using | Eigen::Rand::GeometricType = CwiseNullaryOp< internal::scalar_rng_adaptor< GeometricGen< typename Derived::Scalar >, typename Derived::Scalar, Urng, true >, const Derived > |
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template<typename Derived , typename Urng > |
const UniformIntType< Derived, Urng > | Eigen::Rand::uniformInt (Index rows, Index cols, Urng &&urng, typename Derived::Scalar min, typename Derived::Scalar max) |
| generates integers with a given range [min, max] More...
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template<typename Derived , typename Urng > |
const UniformIntType< Derived, Urng > | Eigen::Rand::uniformIntLike (Derived &o, Urng &&urng, typename Derived::Scalar min, typename Derived::Scalar max) |
| generates integers with a given range [min, max] More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteFType< Derived, Urng > | Eigen::Rand::discreteF (Index rows, Index cols, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is float(23bit precision). More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteFType< Derived, Urng > | Eigen::Rand::discreteFLike (Derived &o, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is float(23bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteFType< Derived, Urng > | Eigen::Rand::discreteF (Index rows, Index cols, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is float(23bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteFType< Derived, Urng > | Eigen::Rand::discreteFLike (Derived &o, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is float(23bit precision). More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteDType< Derived, Urng > | Eigen::Rand::discreteD (Index rows, Index cols, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is double(52bit precision). More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteDType< Derived, Urng > | Eigen::Rand::discreteDLike (Derived &o, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is double(52bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteDType< Derived, Urng > | Eigen::Rand::discreteD (Index rows, Index cols, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is double(52bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteDType< Derived, Urng > | Eigen::Rand::discreteDLike (Derived &o, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is double(52bit precision). More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteType< Derived, Urng > | Eigen::Rand::discrete (Index rows, Index cols, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is int32(32bit precision). More...
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template<typename Derived , typename Urng , typename RealIter > |
const DiscreteType< Derived, Urng > | Eigen::Rand::discreteLike (Derived &o, Urng &&urng, RealIter first, RealIter last) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is int32(32bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteType< Derived, Urng > | Eigen::Rand::discrete (Index rows, Index cols, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is int32(32bit precision). More...
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template<typename Derived , typename Urng , typename Real > |
const DiscreteType< Derived, Urng > | Eigen::Rand::discreteLike (Derived &o, Urng &&urng, const std::initializer_list< Real > &il) |
| generates random integers on the interval [0, n) , where the probability of each individual integer i is proportional to w(i) . The data type used for calculation of probabilities is int32(32bit precision). More...
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template<typename Derived , typename Urng > |
const PoissonType< Derived, Urng > | Eigen::Rand::poisson (Index rows, Index cols, Urng &&urng, double mean=1) |
| generates reals on the Poisson distribution. More...
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template<typename Derived , typename Urng > |
const PoissonType< Derived, Urng > | Eigen::Rand::poissonLike (Derived &o, Urng &&urng, double mean=1) |
| generates reals on the Poisson distribution. More...
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template<typename Derived , typename Urng > |
const BinomialType< Derived, Urng > | Eigen::Rand::binomial (Index rows, Index cols, Urng &&urng, typename Derived::Scalar trials=1, double p=0.5) |
| generates reals on the binomial distribution. More...
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template<typename Derived , typename Urng > |
const BinomialType< Derived, Urng > | Eigen::Rand::binomialLike (Derived &o, Urng &&urng, typename Derived::Scalar trials=1, double p=0.5) |
| generates reals on the binomial distribution. More...
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template<typename Derived , typename Urng > |
const GeometricType< Derived, Urng > | Eigen::Rand::geometric (Index rows, Index cols, Urng &&urng, double p=0.5) |
| generates reals on the geometric distribution. More...
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template<typename Derived , typename Urng > |
const GeometricType< Derived, Urng > | Eigen::Rand::geometricLike (Derived &o, Urng &&urng, double p=0.5) |
| generates reals on the geometric distribution. More...
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