|
A Discrete-Event Network Simulator
|
API
|
Go to the documentation of this file.
26 #ifndef RANDOM_VARIABLE_STREAM_H
27 #define RANDOM_VARIABLE_STREAM_H
252 double GetMin (
void)
const;
258 double GetMax (
void)
const;
418 double GetMin (
void)
const;
425 double GetMax (
void)
const;
575 double GetValue (
double mean,
double bound);
584 uint32_t
GetInteger (uint32_t mean, uint32_t bound);
699 double GetValue (
double scale,
double shape,
double bound);
727 uint32_t
GetInteger (uint32_t scale, uint32_t shape, uint32_t bound);
912 double GetValue (
double scale,
double shape,
double bound);
939 uint32_t
GetInteger (uint32_t scale, uint32_t shape, uint32_t bound);
1150 uint32_t
GetInteger (uint32_t mean, uint32_t variance, uint32_t bound);
1310 double GetMu (
void)
const;
1351 double GetValue (
double mu,
double sigma);
1386 uint32_t
GetInteger (uint32_t mu, uint32_t sigma);
1625 double GetNormalValue (
double mean,
double variance,
double bound);
1698 uint32_t
GetK (
void)
const;
1719 double GetValue (uint32_t
k,
double lambda);
1734 uint32_t
GetInteger (uint32_t
k, uint32_t lambda);
1856 double GetMin (
void)
const;
1862 double GetMax (
void)
const;
2113 uint32_t
GetN (
void)
const;
2503 void CDF (
double v,
double c);
a unique identifier for an interface.
double m_max
Strict upper bound on the sequence.
virtual double GetValue(void)
Get the next random value as a double drawn from the distribution.
uint32_t GetConsecutive(void) const
Get the number of times each distinct value of the sequence is repeated before incrementing to the ne...
std::size_t m_next
Position of the next value in the array of values.
double m_c
The normalization constant.
virtual double GetValue(void)
Returns a random double from an Erlang distribution with the current k and lambda.
static TypeId GetTypeId(void)
Register this type.
double GetScale(void) const
Returns the scale parameter for the Pareto distribution returned by this RNG stream.
bool m_nextValid
True if the next value is valid.
void SetAntithetic(bool isAntithetic)
Specify whether antithetic values should be generated.
double GetShape(void) const
Returns the shape parameter for the Weibull distribution returned by this RNG stream.
Attribute helper (ATTRIBUTE_ )macros definition.
double DoSampleCDF(double r)
Sample the CDF as a histogram (without interpolation).
double GetMax(void) const
Get the limit of the sequence, which is (at least) one more than the last value of the sequence.
double m_alpha
The alpha value for the gamma distribution returned by this RNG stream.
virtual double GetValue(void)
Returns a random double from a Pareto distribution with the current mean, shape, and upper bound.
double GetNormalValue(double mean, double variance, double bound)
Returns a random double from a normal distribution with the specified mean, variance,...
double m_bound
The bound on values that can be returned by this RNG stream.
virtual double GetValue(void)
Returns a random double from a zeta distribution with the current alpha.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from an Erlang distribution with the current k and lambda.
virtual double Interpolate(void)
Returns the next value in the empirical distribution using linear interpolation.
The triangular distribution Random Number Generator (RNG) that allows stream numbers to be set determ...
ExponentialRandomVariable()
Creates an exponential distribution RNG with the default values for the mean and upper bound.
Every class exported by the ns3 library is enclosed in the ns3 namespace.
double GetBound(void) const
Get the configured upper bound of this RNG.
RandomVariableStream(const RandomVariableStream &o)
Copy constructor.
virtual double GetValue(void)
Returns a random double from a triangular distribution with the current mean, min,...
double GetSigma(void) const
Returns the sigma value for the log-normal distribution returned by this RNG stream.
double m_max
The upper bound on values that can be returned by this RNG stream.
RngStream * Peek(void) const
Get the pointer to the underlying RngStream.
double GetAlpha(void) const
Returns the alpha value for the zeta distribution returned by this RNG stream.
virtual double GetValue(void)
Returns the next value in the sequence.
double m_y
The algorithm produces two values at a time.
double GetMu(void) const
Returns the mu value for the log-normal distribution returned by this RNG stream.
RandomVariableStream()
Default constructor.
ParetoRandomVariable()
Creates a Pareto distribution RNG with the default values for the mean, the shape,...
double m_y
The algorithm produces two values at a time.
double m_alpha
The alpha value for the Zipf distribution returned by this RNG stream.
virtual uint32_t GetInteger(void)
Get the next random value as an integer drawn from the distribution.
double m_beta
The beta value for the gamma distribution returned by this RNG stream.
DeterministicRandomVariable()
Creates a deterministic RNG that will have a predetermined sequence of values.
double GetVariance(void) const
Returns the variance value for the normal distribution returned by this RNG stream.
bool PreSample(double &value)
Do the initial rng draw and check against the extrema.
double m_mean
The mean value for the normal distribution returned by this RNG stream.
static TypeId GetTypeId(void)
Register this type.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a log-normal distribution with the current mu and sigma.
double GetConstant(void) const
Get the constant value returned by this RNG stream.
Helper to hold one point of the CDF.
uint32_t m_consecutive
The number of times each distinct value is repeated.
virtual uint32_t GetInteger(void)
Get the next random value as an integer drawn from the distribution.
uint32_t m_n
The n value for the Zipf distribution returned by this RNG stream.
double GetLambda(void) const
Returns the lambda value for the Erlang distribution returned by this RNG stream.
bool IsAntithetic(void) const
Check if antithetic values will be generated.
double m_current
The current sequence value.
double cdf
The CDF at value
bool m_isAntithetic
Indicates if antithetic values should be generated by this RNG stream.
double m_mu
The mu value for the log-normal distribution returned by this RNG stream.
void Validate(void)
Check that the CDF is valid.
The log-normal distribution Random Number Generator (RNG) that allows stream numbers to be set determ...
void SetValueArray(double *values, std::size_t length)
Sets the array of values that holds the predetermined sequence.
bool m_interpolate
If true GetValue will interpolate, otherwise treat CDF as normal histogram.
virtual uint32_t GetInteger(void)
Returns the next value in the empirical distribution.
The Erlang distribution Random Number Generator (RNG) that allows stream numbers to be set determinis...
double m_shape
The shape parameter for the Weibull distribution returned by this RNG stream.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a normal distribution with the current mean,...
TriangularRandomVariable()
Creates a triangular distribution RNG with the default values for the mean, lower bound,...
virtual uint32_t GetInteger(void)=0
Get the next random value as an integer drawn from the distribution.
double GetBeta(void) const
Returns the beta value for the gamma distribution returned by this RNG stream.
double m_constant
The constant value returned by this RNG stream.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a gamma distribution with the current alpha and beta.
The zeta distribution Random Number Generator (RNG) that allows stream numbers to be set deterministi...
virtual uint32_t GetInteger(void)
Get the next random value as an integer drawn from the distribution.
double m_alpha
The alpha value for the zeta distribution returned by this RNG stream.
RandomVariableStream & operator=(const RandomVariableStream &o)
Assignment operator.
double min(double x, double y)
double m_lambda
The lambda value for the Erlang distribution returned by this RNG stream.
The Pareto distribution Random Number Generator (RNG).
static TypeId GetTypeId(void)
Register this type.
double m_min
The lower bound on values that can be returned by this RNG stream.
A base class which provides memory management and object aggregation.
The Random Number Generator (RNG) that returns a constant.
double * m_data
Array of values to return in sequence.
static TypeId GetTypeId(void)
Register this type.
The Weibull distribution Random Number Generator (RNG) that allows stream numbers to be set determini...
uint32_t GetK(void) const
Returns the k value for the Erlang distribution returned by this RNG stream.
static const double INFINITE_VALUE
Large constant to bound the range.
int64_t m_stream
The stream number for the RngStream.
double GetMean(void) const
Get the configured mean value of this RNG.
static TypeId GetTypeId(void)
Register this type.
double GetMean(void) const
Returns the mean value for the triangular distribution returned by this RNG stream.
GammaRandomVariable()
Creates a gamma distribution RNG with the default values for alpha and beta.
ErlangRandomVariable()
Creates an Erlang distribution RNG with the default values for k and lambda.
virtual double GetValue(void)
Returns a random double from a Zipf distribution with the current n and alpha.
virtual double GetValue(void)
Returns a random double from a gamma distribution with the current alpha and beta.
static TypeId GetTypeId(void)
Register this type.
double m_scale
The scale parameter for the Pareto distribution returned by this RNG stream.
The Random Number Generator (RNG) that has a specified empirical distribution.
EmpiricalRandomVariable(void)
Creates an empirical RNG that has a specified, empirical distribution, and configured for interpolati...
double m_min
The first value of the sequence.
virtual double GetValue(void)
Get the next random value as a double drawn from the distribution.
void CDF(double v, double c)
Specifies a point in the empirical distribution.
friend bool operator<(ValueCDF a, ValueCDF b)
Comparison operator, for use by std::upper_bound.
WeibullRandomVariable()
Creates a Weibull distribution RNG with the default values for the scale, shape, and upper bound.
static TypeId GetTypeId(void)
Register this type.
double GetMax(void) const
Returns the upper bound on values that can be returned by this RNG stream.
static TypeId GetTypeId(void)
Register this type.
virtual double GetValue(void)
Returns a random double from a normal distribution with the current mean, variance,...
double GetAlpha(void) const
Returns the alpha value for the Zipf distribution returned by this RNG stream.
virtual ~DeterministicRandomVariable()
LogNormalRandomVariable()
Creates a log-normal distribution RNG with the default values for mu and sigma.
The Random Number Generator (RNG) that returns a predetermined sequence.
Combined Multiple-Recursive Generator MRG32k3a.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a Zipf distribution with the current n and alpha.
double m_mean
The mean value of the unbounded exponential distribution.
double m_v2
The algorithm produces two values at a time.
double GetShape(void) const
Returns the shape parameter for the Pareto distribution returned by this RNG stream.
ZetaRandomVariable()
Creates a zeta distribution RNG with the default value for alpha.
double m_bound
The upper bound on values that can be returned by this RNG stream.
double m_mean
The mean value for the triangular distribution returned by this RNG stream.
The Zipf distribution Random Number Generator (RNG) that allows stream numbers to be set deterministi...
virtual double GetValue(void)
Get the next random value as a double drawn from the distribution.
static TypeId GetTypeId(void)
Register this type.
double GetBound(void) const
Returns 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.
ConstantRandomVariable()
Creates a constant RNG with the default constant value.
Ptr< RandomVariableStream > GetIncrement(void) const
Get the increment for the sequence.
bool m_validated
true once the CDF has been validated.
SequentialRandomVariable()
Creates a sequential RNG with the default values for the sequence parameters.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a Weibull distribution with the current scale,...
double m_bound
The upper bound on values that can be returned by this RNG stream.
Ptr< RandomVariableStream > m_increment
Increment between distinct values.
double m_variance
The variance value for the normal distribution returned by this RNG stream.
ns3::TypeId declaration; inline and template implementations.
virtual double GetValue(void)=0
Get the next random value as a double drawn from the distribution.
The normal (Gaussian) distribution Random Number Generator (RNG) that allows stream numbers to be set...
The gamma distribution Random Number Generator (RNG) that allows stream numbers to be set determinist...
ValueCDF(void)
Constructor.
virtual double GetValue(void)
Returns a random double from a log-normal distribution with the current mu and sigma.
double m_shape
The shape parameter for the Pareto distribution returned by this RNG stream.
double GetBound(void) const
Returns the upper bound on values that can be returned by this RNG stream.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a Pareto distribution with the current mean,...
double GetMin(void) const
Get the first value of the sequence.
static TypeId GetTypeId(void)
Register this type.
uint32_t m_k
The k value for the Erlang distribution returned by this RNG stream.
virtual double GetValue(void)
Returns a random double from a Weibull distribution with the current scale, shape,...
bool m_isCurrentSet
Indicates if the current sequence value has been properly initialized.
virtual uint32_t GetInteger(void)
Returns the next value in the sequence.
The Random Number Generator (RNG) that returns a pattern of sequential values.
double GetExponentialValue(double mean, double bound)
Returns a random double from an exponential distribution with the specified mean and upper bound.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a triangular distribution with the current mean,...
void SetStream(int64_t stream)
Specifies the stream number for the RngStream.
static TypeId GetTypeId(void)
Register this type.
double DoInterpolate(double r)
Linear interpolation between two points on the CDF to estimate the value at r.
static TypeId GetTypeId(void)
Register this type.
double max(double x, double y)
double GetScale(void) const
Returns the scale parameter for the Weibull distribution returned by this RNG stream.
virtual ~RandomVariableStream()
Destructor.
NormalRandomVariable()
Creates a normal distribution RNG with the default values for the mean, variance, and bound.
double m_bound
The upper bound on values that can be returned by this RNG stream.
virtual uint32_t GetInteger(void)
Returns a random unsigned integer from a zeta distribution with the current alpha.
bool m_nextValid
True if the next normal value is valid.
The exponential distribution Random Number Generator (RNG).
double GetMean(void) const
Returns the mean value for the normal distribution returned by this RNG stream.
The basic uniform Random Number Generator (RNG).
RngStream * m_rng
Pointer to the underlying RngStream.
double value
The argument value.
double GetBound(void) const
Returns the bound on values that can be returned by this RNG stream.
double GetMin(void) const
Returns the lower bound for the triangular distribution returned by this RNG stream.
double m_b
Just for calculus simplifications.
static TypeId GetTypeId(void)
Register this type.
bool SetInterpolate(bool interpolate)
Switch the mode between sampling the CDF and interpolating.
uint32_t GetN(void) const
Returns the n value for the Zipf distribution returned by this RNG stream.
std::size_t m_count
Size of the array of values.
double m_v2
The algorithm produces two values at a time.
int64_t GetStream(void) const
Returns the stream number for the RngStream.
ZipfRandomVariable()
Creates a Zipf distribution RNG with the default values for n and alpha.
ns3::Object class declaration, which is the root of the Object hierarchy and Aggregation.
uint32_t m_currentConsecutive
The number of times the current distinct value has been repeated.
static TypeId GetTypeId(void)
Register this type.
std::vector< ValueCDF > m_emp
The vector of CDF points.
static TypeId GetTypeId(void)
Register this type.
virtual double GetValue(void)
Returns the next value in the empirical distribution.
double GetAlpha(void) const
Returns the alpha value for the gamma distribution returned by this RNG stream.
double m_sigma
The sigma value for the log-normal distribution returned by this RNG stream.