15#ifndef RANDOM_VARIABLE_STREAM_H
16#define RANDOM_VARIABLE_STREAM_H
255 double GetValue(
double min,
double max);
577 double GetValue(
double mean,
double bound);
713 double GetValue(
double scale,
double shape,
double bound);
865 static double GetMean(
double scale,
double shape);
873 double GetValue(
double scale,
double shape,
double bound);
1153 double GetMu()
const;
1166 double GetValue(
double mu,
double sigma);
1279 double GetValue(
double alpha,
double beta);
1297 double GetNormalValue(
double mean,
double variance,
double bound);
1550 double GetValue(
double mean,
double min,
double max);
1869 void SetValueArray(
const double* values, std::size_t length);
1996 void CDF(
double v,
double c);
2258 double GetValue(
double probability);
2349 double GetValue(
double location,
double scale,
double bound);
2457 double GetValue(
double location,
double scale);
2479 static double GetMean(
double location,
double scale);
Attribute helper (ATTRIBUTE_ )macros definition.
The Bernoulli distribution Random Number Generator (RNG).
double GetValue() override
Get the next random value drawn from the distribution.
BernoulliRandomVariable()
double m_probability
The probability of success.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
The binomial distribution Random Number Generator (RNG).
double m_probability
The probability of success in each trial.
double GetValue() override
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
uint32_t m_trials
The number of trials.
The Random Number Generator (RNG) that returns a constant.
static TypeId GetTypeId()
Register this type.
double GetValue() override
Get the next random value drawn from the distribution.
ConstantRandomVariable()
Creates a constant RNG with the default constant value.
double GetConstant() const
Get the constant value returned by this RNG stream.
double m_constant
The constant value returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
The Random Number Generator (RNG) that returns a predetermined sequence.
double GetValue() override
Get the next random value drawn from the distribution.
std::size_t m_next
Position of the next value in the array of values.
void SetValueArray(const std::vector< double > &values)
Sets the array of values that holds the predetermined sequence.
~DeterministicRandomVariable() override
static TypeId GetTypeId()
Register this type.
double * m_data
Array of values to return in sequence.
DeterministicRandomVariable()
Creates a deterministic RNG that will have a predetermined sequence of values.
std::size_t m_count
Size of the array of values.
The Random Number Generator (RNG) that has a specified empirical distribution.
bool SetInterpolate(bool interpolate)
Switch the mode between sampling the CDF and interpolating.
void CDF(double v, double c)
Specifies a point in the empirical distribution.
bool PreSample(double &value)
Do the initial rng draw and check against the extrema.
double DoSampleCDF(double r)
Sample the CDF as a histogram (without interpolation).
double GetValue() override
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
bool m_interpolate
If true GetValue will interpolate, otherwise treat CDF as normal histogram.
bool m_validated
true once the CDF has been validated.
double DoInterpolate(double r)
Linear interpolation between two points on the CDF to estimate the value at r.
virtual double Interpolate()
Returns the next value in the empirical distribution using linear interpolation.
EmpiricalRandomVariable()
Creates an empirical RNG that has a specified, empirical distribution, and configured for interpolati...
void Validate()
Check that the CDF is valid.
std::map< double, double > m_empCdf
The map of CDF points (x, F(x)).
The Erlang distribution Random Number Generator (RNG) that allows stream numbers to be set determinis...
double m_lambda
The lambda value for the Erlang distribution returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
double GetExponentialValue(double mean, double bound)
Returns a random double from an exponential distribution with the specified mean and upper bound.
static TypeId GetTypeId()
Register this type.
uint32_t GetK() const
Returns the k value for the Erlang distribution returned by this RNG stream.
double GetLambda() const
Returns the lambda value for the Erlang distribution returned by this RNG stream.
uint32_t m_k
The k value for the Erlang distribution returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
ErlangRandomVariable()
Creates an Erlang distribution RNG with the default values for k and lambda.
The exponential distribution Random Number Generator (RNG).
ExponentialRandomVariable()
Creates an exponential distribution RNG with the default values for the mean and upper bound.
double GetBound() const
Get the configured upper bound of this RNG.
double m_mean
The mean value of the unbounded exponential distribution.
double GetMean() const
Get the configured mean value of this RNG.
double m_bound
The upper bound on values that can be returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
double GetValue() override
Get the next random value drawn from the distribution.
The gamma distribution Random Number Generator (RNG) that allows stream numbers to be set determinist...
double GetValue() override
Get the next random value drawn from the distribution.
uint32_t GetInteger(uint32_t alpha, uint32_t beta)
Get the next random value drawn from the distribution.
GammaRandomVariable()
Creates a gamma distribution RNG with the default values for alpha and beta.
double m_alpha
The alpha value for the gamma distribution returned by this RNG stream.
double GetNormalValue(double mean, double variance, double bound)
Returns a random double from a normal distribution with the specified mean, variance,...
double m_y
The algorithm produces two values at a time.
double m_v2
The algorithm produces two values at a time.
bool m_nextValid
True if the next normal value is valid.
static TypeId GetTypeId()
Register this type.
double GetAlpha() const
Returns the alpha value for the gamma distribution returned by this RNG stream.
double GetBeta() const
Returns the beta value for the gamma distribution returned by this RNG stream.
double m_beta
The beta value for the gamma distribution returned by this RNG stream.
The laplacian distribution Random Number Generator (RNG).
double m_location
The location value of the laplacian distribution.
double GetValue() override
Get the next random value drawn from the distribution.
double GetBound() const
Get the configured bound of this RNG.
static TypeId GetTypeId()
Register this type.
double m_bound
The bound on values that can be returned by this RNG stream.
LaplacianRandomVariable()
Creates an unbounded laplacian distribution RNG with the default values for the location and the scal...
double GetLocation() const
Get the configured location value of this RNG.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double m_scale
The scale value of the laplacian distribution.
double GetScale() const
Get the configured scale value of this RNG.
double GetVariance() const
Returns the variance value for the laplacian distribution returned by this RNG stream.
The Largest Extreme Value distribution Random Number Generator (RNG).
double m_scale
The scale value of the Largest Extreme Value distribution.
double GetMean() const
Returns the mean value for the Largest Extreme Value distribution returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
LargestExtremeValueRandomVariable()
Creates a Largest Extreme Value distribution RNG with the default values for the location and the sca...
double GetVariance() const
Returns the variance value for the Largest Extreme Value distribution returned by this RNG stream.
double GetScale() const
Get the configured scale value of this RNG.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double GetLocation() const
Get the configured location value of this RNG.
double m_location
The location value of the Largest Extreme Value distribution.
The log-normal distribution Random Number Generator (RNG) that allows stream numbers to be set determ...
double GetMu() const
Returns the mu value for the log-normal distribution returned by this RNG stream.
double m_v2
The algorithm produces two values at a time.
double GetSigma() const
Returns the sigma value for the log-normal distribution returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
bool m_nextValid
True if m_normal is valid.
double m_mu
The mu value for the log-normal distribution returned by this RNG stream.
double m_sigma
The sigma value for the log-normal distribution returned by this RNG stream.
LogNormalRandomVariable()
Creates a log-normal distribution RNG with the default values for mu and sigma.
double m_normal
The algorithm produces two values at a time.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
The normal (Gaussian) distribution Random Number Generator (RNG) that allows stream numbers to be set...
double m_y
The algorithm produces two values at a time.
double GetBound() const
Returns the bound on values that can be returned by this RNG stream.
double GetVariance() const
Returns the variance value for the normal distribution returned by this RNG stream.
double m_mean
The mean value for the normal distribution returned by this RNG stream.
static TypeId GetTypeId()
Register this type.
double GetMean() const
Returns the mean value for the normal distribution returned by this RNG stream.
static const double INFINITE_VALUE
Large constant to bound the range.
double m_variance
The variance value for the normal distribution returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double m_bound
The bound on values that can be returned by this RNG stream.
bool m_nextValid
True if the next value is valid.
NormalRandomVariable()
Creates a normal distribution RNG with the default values for the mean, variance, and bound.
double m_v2
The algorithm produces two values at a time.
A base class which provides memory management and object aggregation.
The Pareto distribution Random Number Generator (RNG).
double GetShape() const
Returns the shape parameter for the Pareto distribution returned by this RNG stream.
double m_scale
The scale parameter for the Pareto distribution returned by this RNG stream.
ParetoRandomVariable()
Creates a Pareto distribution RNG with the default values for the mean, the shape,...
static TypeId GetTypeId()
Register this type.
double m_shape
The shape parameter for the Pareto distribution returned by this RNG stream.
double GetScale() const
Returns the scale parameter for the Pareto distribution returned by this RNG stream.
double m_bound
The upper bound on values that can be returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double GetValue() override
Get the next random value drawn from the distribution.
double GetBound() const
Returns the upper bound on values that can be returned by this RNG stream.
Smart pointer class similar to boost::intrusive_ptr.
The basic uniform Random Number Generator (RNG).
static TypeId GetTypeId()
Register this type.
RngStream * Peek() const
Get the pointer to the underlying RngStream.
RandomVariableStream & operator=(const RandomVariableStream &)=delete
bool IsAntithetic() const
Check if antithetic values will be generated.
RandomVariableStream(const RandomVariableStream &)=delete
virtual double GetValue()=0
Get the next random value drawn from the distribution.
~RandomVariableStream() override
Destructor.
bool m_isAntithetic
Indicates if antithetic values should be generated by this RNG stream.
void SetAntithetic(bool isAntithetic)
Specify whether antithetic values should be generated.
int64_t m_stream
The stream number for the RngStream.
RandomVariableStream()
Default constructor.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
RngStream * m_rng
Pointer to the underlying RngStream.
void SetStream(int64_t stream)
Specifies the stream number for the RngStream.
int64_t GetStream() const
Returns the stream number for the RngStream.
Combined Multiple-Recursive Generator MRG32k3a.
The Random Number Generator (RNG) that returns a pattern of sequential values.
uint32_t m_currentConsecutive
The number of times the current distinct value has been repeated.
double m_min
The first value of the sequence.
Ptr< RandomVariableStream > GetIncrement() const
Get the increment for the sequence.
uint32_t m_consecutive
The number of times each distinct value is repeated.
static TypeId GetTypeId()
Register this type.
double m_current
The current sequence value.
double m_max
Strict upper bound on the sequence.
Ptr< RandomVariableStream > m_increment
Increment between distinct values.
double GetValue() override
Get the next random value drawn from the distribution.
uint32_t GetConsecutive() const
Get the number of times each distinct value of the sequence is repeated before incrementing to the ne...
double GetMax() const
Get the limit of the sequence, which is (at least) one more than the last value of the sequence.
SequentialRandomVariable()
Creates a sequential RNG with the default values for the sequence parameters.
double GetMin() const
Get the first value of the sequence.
bool m_isCurrentSet
Indicates if the current sequence value has been properly initialized.
The triangular distribution Random Number Generator (RNG) that allows stream numbers to be set determ...
double GetValue() override
Get the next random value drawn from the distribution.
double GetMean() const
Returns the mean value for the triangular distribution returned by this RNG stream.
static TypeId GetTypeId()
Register this type.
double m_mean
The mean value for the triangular distribution returned by this RNG stream.
double m_max
The upper bound on values that can be returned by this RNG stream.
double GetMax() const
Returns the upper bound on values that can be returned by this RNG stream.
TriangularRandomVariable()
Creates a triangular distribution RNG with the default values for the mean, lower bound,...
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double m_min
The lower bound on values that can be returned by this RNG stream.
double GetMin() const
Returns the lower bound for the triangular distribution returned by this RNG stream.
a unique identifier for an interface.
The Weibull distribution Random Number Generator (RNG) which allows stream numbers to be set determin...
double m_shape
The shape parameter for the Weibull distribution returned by this RNG stream.
double m_bound
The upper bound on values that can be returned by this RNG stream.
double m_scale
The scale parameter for the Weibull distribution returned by this RNG stream.
double GetBound() const
Returns the upper bound on values that can be returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
WeibullRandomVariable()
Creates a Weibull distribution RNG with the default values for the scale, shape, and upper bound.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
static TypeId GetTypeId()
Register this type.
double GetScale() const
Returns the scale parameter for the Weibull distribution returned by this RNG stream.
double GetMean() const
Returns the mean value for the Weibull distribution returned by this RNG stream.
double GetShape() const
Returns the shape parameter for the Weibull distribution returned by this RNG stream.
The zeta distribution Random Number Generator (RNG) that allows stream numbers to be set deterministi...
static TypeId GetTypeId()
Register this type.
double m_alpha
The alpha value for the zeta distribution returned by this RNG stream.
double GetValue() override
Get the next random value drawn from the distribution.
ZetaRandomVariable()
Creates a zeta distribution RNG with the default value for alpha.
double GetAlpha() const
Returns the alpha value for the zeta distribution returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double m_b
Just for calculus simplifications.
The Zipf distribution Random Number Generator (RNG) that allows stream numbers to be set deterministi...
uint32_t GetN() const
Returns the n value for the Zipf distribution returned by this RNG stream.
static TypeId GetTypeId()
Register this type.
double m_c
The normalization constant.
double GetAlpha() const
Returns the alpha value for the Zipf distribution returned by this RNG stream.
ZipfRandomVariable()
Creates a Zipf distribution RNG with the default values for n and alpha.
double m_alpha
The alpha value for the Zipf distribution returned by this RNG stream.
uint32_t m_n
The n value for the Zipf distribution returned by this RNG stream.
virtual uint32_t GetInteger()
Get the next random value drawn from the distribution.
double GetValue() override
Get the next random value drawn from the distribution.
Every class exported by the ns3 library is enclosed in the ns3 namespace.
ns3::Object class declaration, which is the root of the Object hierarchy and Aggregation.
ns3::TypeId declaration; inline and template implementations.