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ns3::EmpiricalRandomVariable Class Reference

The Random Number Generator (RNG) that has a specified empirical distribution. More...

#include <random-variable-stream.h>

+ Inheritance diagram for ns3::EmpiricalRandomVariable:
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Classes

class  ValueCDF

Public Member Functions

 EmpiricalRandomVariable ()
 Creates an empirical RNG that has a specified, empirical distribution.
void CDF (double v, double c)
 Specifies a point in the empirical distribution.
virtual uint32_t GetInteger (void)
 Returns the next value in the empirical distribution.
virtual double GetValue (void)
 Returns the next value in the empirical distribution.
- Public Member Functions inherited from ns3::RandomVariableStream
 RandomVariableStream ()
virtual ~RandomVariableStream ()
int64_t GetStream (void) const
 Returns the stream number for this RNG stream.
bool IsAntithetic (void) const
 Returns true if antithetic values should be generated.
void SetAntithetic (bool isAntithetic)
 Specifies whether antithetic values should be generated.
void SetStream (int64_t stream)
 Specifies the stream number for this RNG stream.
- Public Member Functions inherited from ns3::Object
 Object ()
virtual ~Object ()
void AggregateObject (Ptr< Object > other)
void Dispose (void)
AggregateIterator GetAggregateIterator (void) const
virtual TypeId GetInstanceTypeId (void) const
template<typename T >
Ptr< T > GetObject (void) const
template<typename T >
Ptr< T > GetObject (TypeId tid) const
void Start (void)
- Public Member Functions inherited from ns3::SimpleRefCount< Object, ObjectBase, ObjectDeleter >
 SimpleRefCount ()
 SimpleRefCount (const SimpleRefCount &o)
uint32_t GetReferenceCount (void) const
SimpleRefCountoperator= (const SimpleRefCount &o)
void Ref (void) const
void Unref (void) const
- Public Member Functions inherited from ns3::ObjectBase
virtual ~ObjectBase ()
void GetAttribute (std::string name, AttributeValue &value) const
bool GetAttributeFailSafe (std::string name, AttributeValue &attribute) const
void SetAttribute (std::string name, const AttributeValue &value)
bool SetAttributeFailSafe (std::string name, const AttributeValue &value)
bool TraceConnect (std::string name, std::string context, const CallbackBase &cb)
bool TraceConnectWithoutContext (std::string name, const CallbackBase &cb)
bool TraceDisconnect (std::string name, std::string context, const CallbackBase &cb)
bool TraceDisconnectWithoutContext (std::string name, const CallbackBase &cb)

Static Public Member Functions

static TypeId GetTypeId (void)
 This method returns the TypeId associated to ns3::EmpiricalRandomVariable.

Private Member Functions

virtual double Interpolate (double, double, double, double, double)
virtual void Validate ()

Private Attributes

std::vector< ValueCDFemp
bool validated

Additional Inherited Members

- Protected Member Functions inherited from ns3::RandomVariableStream
RngStreamPeek (void) const
 Returns a pointer to the underlying RNG stream.

Detailed Description

The Random Number Generator (RNG) that has a specified empirical distribution.

Defines a random variable that has a specified, empirical distribution. The distribution is specified by a series of calls to the CDF member function, specifying a value and the probability that the function value is less than the specified value. When values are requested, a uniform random variable is used to select a probability, and the return value is interpreted linearly between the two appropriate points in the CDF. The method is known as inverse transform sampling: (http://en.wikipedia.org/wiki/Inverse_transform_sampling).

Here is an example of how to use this class:

// Create the RNG with a uniform distribution between 0 and 10.
Ptr<EmpiricalRandomVariable> x = CreateObject<EmpiricalRandomVariable> ();
x->CDF ( 0.0, 0.0);
x->CDF ( 5.0, 0.5);
x->CDF (10.0, 1.0);
// The expected value for the mean of the values returned by this
// empirical distribution is the midpoint of the distribution
//
// E[value] = 5 .
//
double value = x->GetValue ();

Definition at line 2373 of file random-variable-stream.h.

Constructor & Destructor Documentation

ns3::EmpiricalRandomVariable::EmpiricalRandomVariable ( )

Creates an empirical RNG that has a specified, empirical distribution.

Definition at line 1410 of file random-variable-stream.cc.

Member Function Documentation

void ns3::EmpiricalRandomVariable::CDF ( double  v,
double  c 
)

Specifies a point in the empirical distribution.

Parameters
vThe function value for this point
cProbability that the function is less than or equal to v

Definition at line 1475 of file random-variable-stream.cc.

References emp.

Referenced by RandomVariableStreamEmpiricalTestCase::DoRun(), RandomVariableStreamEmpiricalAntitheticTestCase::DoRun(), and main().

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uint32_t ns3::EmpiricalRandomVariable::GetInteger ( void  )
virtual

Returns the next value in the empirical distribution.

Returns
The integer next value in the empirical distribution.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and $x$ is a value that would be returned normally, then $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, uses (1-u), which is the distance $u$ is from the 1.

Implements ns3::RandomVariableStream.

Definition at line 1470 of file random-variable-stream.cc.

References GetValue().

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TypeId ns3::EmpiricalRandomVariable::GetTypeId ( void  )
static

This method returns the TypeId associated to ns3::EmpiricalRandomVariable.

This object is accessible through the following paths with Config::Set and Config::Connect:

  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanDirection/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanPitch/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanVelocity/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomDirection2dMobilityModel/Pause/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomDirection2dMobilityModel/Speed/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWalk2dMobilityModel/Direction/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWalk2dMobilityModel/Speed/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/Pause/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/X/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/Y/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/Z/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomDiscPositionAllocator/Rho/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomDiscPositionAllocator/Theta/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomRectanglePositionAllocator/X/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomRectanglePositionAllocator/Y/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/Speed/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/ApplicationList/[i]/$ns3::OnOffApplication/OffTime/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/ApplicationList/[i]/$ns3::OnOffApplication/OnTime/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::CsmaNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::PointToPointNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::SimpleNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::WifiNetDevice/Channel/$ns3::YansWifiChannel/PropagationDelayModel/$ns3::RandomPropagationDelayModel/Variable/$ns3::EmpiricalRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::WifiNetDevice/Channel/$ns3::YansWifiChannel/PropagationLossModel/$ns3::RandomPropagationLossModel/Variable/$ns3::EmpiricalRandomVariable

No Attributes defined for this type.
Attributes defined in parent class ns3::RandomVariableStream:

  • Stream: The stream number for this RNG stream. -1 means "allocate a stream automatically". Note that if -1 is set, Get will return -1 so that it is not possible to know which value was automatically allocated.
    • Set with class: ns3::IntegerValue
    • Underlying type: int64_t -9223372036854775808:9223372036854775807
    • Initial value: -1
    • Flags: construct write read
  • Antithetic: Set this RNG stream to generate antithetic values
    • Set with class: BooleanValue
    • Underlying type: bool
    • Initial value: false
    • Flags: construct write read

No TraceSources defined for this type.

Reimplemented from ns3::RandomVariableStream.

Definition at line 1402 of file random-variable-stream.cc.

References ns3::TypeId::SetParent().

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double ns3::EmpiricalRandomVariable::GetValue ( void  )
virtual

Returns the next value in the empirical distribution.

Returns
The floating point next value in the empirical distribution.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and $x$ is a value that would be returned normally, then $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, uses (1-u), which is the distance $u$ is from the 1.

Implements ns3::RandomVariableStream.

Definition at line 1417 of file random-variable-stream.cc.

References emp, Interpolate(), ns3::RandomVariableStream::IsAntithetic(), ns3::RandomVariableStream::Peek(), ns3::RngStream::RandU01(), Validate(), and validated.

Referenced by RandomVariableStreamEmpiricalTestCase::DoRun(), RandomVariableStreamEmpiricalAntitheticTestCase::DoRun(), and GetInteger().

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double ns3::EmpiricalRandomVariable::Interpolate ( double  c1,
double  c2,
double  v1,
double  v2,
double  r 
)
privatevirtual

Definition at line 1501 of file random-variable-stream.cc.

Referenced by GetValue().

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void ns3::EmpiricalRandomVariable::Validate ( )
privatevirtual

Definition at line 1481 of file random-variable-stream.cc.

References ns3::EmpiricalRandomVariable::ValueCDF::cdf, emp, NS_FATAL_ERROR, validated, and ns3::EmpiricalRandomVariable::ValueCDF::value.

Referenced by GetValue().

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Member Data Documentation

std::vector<ValueCDF> ns3::EmpiricalRandomVariable::emp
private

Definition at line 2430 of file random-variable-stream.h.

Referenced by CDF(), GetValue(), and Validate().

bool ns3::EmpiricalRandomVariable::validated
private

Definition at line 2429 of file random-variable-stream.h.

Referenced by GetValue(), and Validate().


The documentation for this class was generated from the following files: