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ns3::TriangularRandomVariable Class Reference

The triangular distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically. More...

#include <random-variable-stream.h>

+ Inheritance diagram for ns3::TriangularRandomVariable:
+ Collaboration diagram for ns3::TriangularRandomVariable:

Public Member Functions

 TriangularRandomVariable ()
 Creates a triangular distribution RNG with the default values for the mean, lower bound, and upper bound. More...
 
uint32_t GetInteger (uint32_t mean, uint32_t min, uint32_t max)
 Returns a random unsigned integer from a triangular distribution with the specified mean, min, and max. More...
 
virtual uint32_t GetInteger (void)
 Returns a random unsigned integer from a triangular distribution with the current mean, min, and max. More...
 
double GetMax (void) const
 Returns the upper bound on values that can be returned by this RNG stream. More...
 
double GetMean (void) const
 Returns the mean value for the triangular distribution returned by this RNG stream. More...
 
double GetMin (void) const
 Returns the lower bound for the triangular distribution returned by this RNG stream. More...
 
double GetValue (double mean, double min, double max)
 Returns a random double from a triangular distribution with the specified mean, min, and max. More...
 
virtual double GetValue (void)
 Returns a random double from a triangular distribution with the current mean, min, and max. More...
 
- Public Member Functions inherited from ns3::RandomVariableStream
 RandomVariableStream ()
 
virtual ~RandomVariableStream ()
 
int64_t GetStream (void) const
 Returns the stream number for this RNG stream. More...
 
bool IsAntithetic (void) const
 Returns true if antithetic values should be generated. More...
 
void SetAntithetic (bool isAntithetic)
 Specifies whether antithetic values should be generated. More...
 
void SetStream (int64_t stream)
 Specifies the stream number for this RNG stream. More...
 
- Public Member Functions inherited from ns3::Object
 Object ()
 
virtual ~Object ()
 
void AggregateObject (Ptr< Object > other)
 
void Dispose (void)
 Run the DoDispose methods of this object and all the objects aggregated to it. More...
 
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 Initialize (void)
 This method calls the virtual DoInitialize method on all the objects aggregated to this object. More...
 
- Public Member Functions inherited from ns3::SimpleRefCount< Object, ObjectBase, ObjectDeleter >
 SimpleRefCount ()
 Constructor. More...
 
 SimpleRefCount (const SimpleRefCount &o)
 Copy constructor. More...
 
uint32_t GetReferenceCount (void) const
 Get the reference count of the object. More...
 
SimpleRefCountoperator= (const SimpleRefCount &o)
 Assignment. More...
 
void Ref (void) const
 Increment the reference count. More...
 
void Unref (void) const
 Decrement the reference count. More...
 
- Public Member Functions inherited from ns3::ObjectBase
virtual ~ObjectBase ()
 Virtual destructor. More...
 
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)
 
- Static Public Member Functions inherited from ns3::RandomVariableStream
static TypeId GetTypeId (void)
 
- Static Public Member Functions inherited from ns3::Object
static TypeId GetTypeId (void)
 Register this type. More...
 
- Static Public Member Functions inherited from ns3::SimpleRefCount< Object, ObjectBase, ObjectDeleter >
static void Cleanup (void)
 Noop. More...
 
- Static Public Member Functions inherited from ns3::ObjectBase
static TypeId GetTypeId (void)
 Get the type ID. More...
 

Private Attributes

double m_max
 The upper bound on values that can be returned by this RNG stream. More...
 
double m_mean
 The mean value for the triangular distribution returned by this RNG stream. More...
 
double m_min
 The lower bound on values that can be returned by this RNG stream. More...
 

Additional Inherited Members

- Protected Member Functions inherited from ns3::RandomVariableStream
RngStreamPeek (void) const
 Returns a pointer to the underlying RNG stream. More...
 
- Protected Member Functions inherited from ns3::Object
 Object (const Object &o)
 
virtual void DoDispose (void)
 This method is called by Object::Dispose or by the object's destructor, whichever comes first. More...
 
virtual void DoInitialize (void)
 This method is called only once by Object::Initialize. More...
 
virtual void NotifyNewAggregate (void)
 This method is invoked whenever two sets of objects are aggregated together. More...
 
- Protected Member Functions inherited from ns3::ObjectBase
void ConstructSelf (const AttributeConstructionList &attributes)
 
virtual void NotifyConstructionCompleted (void)
 This method is invoked once all member attributes have been initialized. More...
 

Detailed Description

The triangular distribution Random Number Generator (RNG) that allows stream numbers to be set deterministically.

This class supports the creation of objects that return random numbers from a fixed triangular distribution. It also supports the generation of single random numbers from various triangular distributions.

This distribution is a triangular distribution. The probability density is in the shape of a triangle.

Here is an example of how to use this class:

double mean = 5.0;
double min = 2.0;
double max = 10.0;
Ptr<TriangularRandomVariable> x = CreateObject<TriangularRandomVariable> ();
x->SetAttribute ("Mean", DoubleValue (mean));
x->SetAttribute ("Min", DoubleValue (min));
x->SetAttribute ("Max", DoubleValue (max));
// The expected value for the mean of the values returned by a
// triangularly distributed random variable is equal to mean.
double value = x->GetValue ();

Config Paths

ns3::TriangularRandomVariable is accessible through the following paths with Config::Set and Config::Connect:

  • /ChannelList/[i]/$ns3::WifiChannel/$ns3::YansWifiChannel/PropagationDelayModel/$ns3::RandomPropagationDelayModel/Variable/$ns3::TriangularRandomVariable
  • /ChannelList/[i]/$ns3::WifiChannel/$ns3::YansWifiChannel/PropagationLossModel/$ns3::RandomPropagationLossModel/Variable/$ns3::TriangularRandomVariable
  • /ChannelList/[i]/$ns3::YansWifiChannel/PropagationDelayModel/$ns3::RandomPropagationDelayModel/Variable/$ns3::TriangularRandomVariable
  • /ChannelList/[i]/$ns3::YansWifiChannel/PropagationLossModel/$ns3::RandomPropagationLossModel/Variable/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::ArpL3Protocol/RequestJitter/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::Icmpv6L4Protocol/SolicitationJitter/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanDirection/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanPitch/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::GaussMarkovMobilityModel/MeanVelocity/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomDirection2dMobilityModel/Pause/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomDirection2dMobilityModel/Speed/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWalk2dMobilityModel/Direction/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWalk2dMobilityModel/Speed/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/Pause/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/X/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/Y/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomBoxPositionAllocator/Z/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomDiscPositionAllocator/Rho/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomDiscPositionAllocator/Theta/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomRectanglePositionAllocator/X/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/PositionAllocator/$ns3::RandomRectanglePositionAllocator/Y/$ns3::TriangularRandomVariable
  • /NodeList/[i]/$ns3::MobilityModel/$ns3::RandomWaypointMobilityModel/Speed/$ns3::TriangularRandomVariable
  • /NodeList/[i]/ApplicationList/[i]/$ns3::OnOffApplication/OffTime/$ns3::TriangularRandomVariable
  • /NodeList/[i]/ApplicationList/[i]/$ns3::OnOffApplication/OnTime/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::CsmaNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstSize/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::CsmaNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstStart/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::CsmaNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::PointToPointNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstSize/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::PointToPointNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstStart/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::PointToPointNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::SimpleNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstSize/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::SimpleNetDevice/ReceiveErrorModel/$ns3::BurstErrorModel/BurstStart/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::SimpleNetDevice/ReceiveErrorModel/$ns3::RateErrorModel/RanVar/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::WifiNetDevice/Channel/$ns3::YansWifiChannel/PropagationDelayModel/$ns3::RandomPropagationDelayModel/Variable/$ns3::TriangularRandomVariable
  • /NodeList/[i]/DeviceList/[i]/$ns3::WifiNetDevice/Channel/$ns3::YansWifiChannel/PropagationLossModel/$ns3::RandomPropagationLossModel/Variable/$ns3::TriangularRandomVariable

Attributes

  • Mean: The mean value for the triangular distribution returned by this RNG stream.
    • Set with class: ns3::DoubleValue
    • Underlying type: double -1.79769e+308:1.79769e+308
    • Initial value: 0.5
    • Flags: construct write read
  • Min: The lower bound on the values returned by this RNG stream.
    • Set with class: ns3::DoubleValue
    • Underlying type: double -1.79769e+308:1.79769e+308
    • Initial value: 0
    • Flags: construct write read
  • Max: The upper bound on the values returned by this RNG stream.
    • Set with class: ns3::DoubleValue
    • Underlying type: double -1.79769e+308:1.79769e+308
    • Initial value: 1
    • Flags: construct write read

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 are defined for this type.

Definition at line 1818 of file random-variable-stream.h.

Constructor & Destructor Documentation

ns3::TriangularRandomVariable::TriangularRandomVariable ( )

Creates a triangular distribution RNG with the default values for the mean, lower bound, and upper bound.

Definition at line 1184 of file random-variable-stream.cc.

References NS_LOG_FUNCTION.

Member Function Documentation

uint32_t ns3::TriangularRandomVariable::GetInteger ( uint32_t  mean,
uint32_t  min,
uint32_t  max 
)

Returns a random unsigned integer from a triangular distribution with the specified mean, min, and max.

Parameters
meanMean value for the triangular distribution.
minLow end of the range.
maxHigh end of the range.
Returns
A random unsigned integer value.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and

\[ x = \left\{ \begin{array}{rl} min + \sqrt{u * (max - min) * (mode - min)} &\mbox{ if $u <= (mode - min)/(max - min)$} \\ max - \sqrt{ (1 - u) * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

is a value that would be returned normally, where the mode or peak of the triangle is calculated as

\[ mode = 3.0 * mean - min - max . \]

Then, $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, is calculated as

\[ x' = \left\{ \begin{array}{rl} min + \sqrt{(1 - u) * (max - min) * (mode - min)} &\mbox{ if $(1 - u) <= (mode - min)/(max - min)$} \\ max - \sqrt{ u * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

which now involves the distance $u$ is from the 1.

Definition at line 1236 of file random-variable-stream.cc.

References GetValue(), and NS_LOG_FUNCTION.

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

Returns a random unsigned integer from a triangular distribution with the current mean, min, and max.

Returns
A random unsigned integer value.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and

\[ x = \left\{ \begin{array}{rl} min + \sqrt{u * (max - min) * (mode - min)} &\mbox{ if $u <= (mode - min)/(max - min)$} \\ max - \sqrt{ (1 - u) * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

is a value that would be returned normally, where the mode or peak of the triangle is calculated as

\[ mode = 3.0 * mean - min - max . \]

Then, $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, is calculated as

\[ x' = \left\{ \begin{array}{rl} min + \sqrt{(1 - u) * (max - min) * (mode - min)} &\mbox{ if $(1 - u) <= (mode - min)/(max - min)$} \\ max - \sqrt{ u * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

which now involves the distance $u$ is from the 1.

Implements ns3::RandomVariableStream.

Definition at line 1249 of file random-variable-stream.cc.

References GetValue(), m_max, m_mean, m_min, and NS_LOG_FUNCTION.

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double ns3::TriangularRandomVariable::GetMax ( void  ) const

Returns the upper bound on values that can be returned by this RNG stream.

Returns
The upper bound on values that can be returned by this RNG stream.

Definition at line 1204 of file random-variable-stream.cc.

References m_max, and NS_LOG_FUNCTION.

double ns3::TriangularRandomVariable::GetMean ( void  ) const

Returns the mean value for the triangular distribution returned by this RNG stream.

Returns
The mean value for the triangular distribution returned by this RNG stream.

Definition at line 1192 of file random-variable-stream.cc.

References m_mean, and NS_LOG_FUNCTION.

double ns3::TriangularRandomVariable::GetMin ( void  ) const

Returns the lower bound for the triangular distribution returned by this RNG stream.

Returns
The lower bound for the triangular distribution returned by this RNG stream.

Definition at line 1198 of file random-variable-stream.cc.

References m_min, and NS_LOG_FUNCTION.

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

Definition at line 1164 of file random-variable-stream.cc.

References m_max, m_mean, m_min, and ns3::TypeId::SetParent().

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double ns3::TriangularRandomVariable::GetValue ( double  mean,
double  min,
double  max 
)

Returns a random double from a triangular distribution with the specified mean, min, and max.

Parameters
meanMean value for the triangular distribution.
minLow end of the range.
maxHigh end of the range.
Returns
A floating point random value.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and

\[ x = \left\{ \begin{array}{rl} min + \sqrt{u * (max - min) * (mode - min)} &\mbox{ if $u <= (mode - min)/(max - min)$} \\ max - \sqrt{ (1 - u) * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

is a value that would be returned normally, where the mode or peak of the triangle is calculated as

\[ mode = 3.0 * mean - min - max . \]

Then, $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, is calculated as

\[ x' = \left\{ \begin{array}{rl} min + \sqrt{(1 - u) * (max - min) * (mode - min)} &\mbox{ if $(1 - u) <= (mode - min)/(max - min)$} \\ max - \sqrt{ u * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

which now involves the distance $u$ is from the 1.

Definition at line 1211 of file random-variable-stream.cc.

References ns3::RandomVariableStream::IsAntithetic(), NS_LOG_FUNCTION, ns3::RandomVariableStream::Peek(), and ns3::RngStream::RandU01().

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

Returns a random double from a triangular distribution with the current mean, min, and max.

Returns
A floating point random value.

Note that antithetic values are being generated if m_isAntithetic is equal to true. If $u$ is a uniform variable over [0,1] and

\[ x = \left\{ \begin{array}{rl} min + \sqrt{u * (max - min) * (mode - min)} &\mbox{ if $u <= (mode - min)/(max - min)$} \\ max - \sqrt{ (1 - u) * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

is a value that would be returned normally, where the mode or peak of the triangle is calculated as

\[ mode = 3.0 * mean - min - max . \]

Then, $(1 - u$) is the distance that $u$ would be from $1$. The value returned in the antithetic case, $x'$, is calculated as

\[ x' = \left\{ \begin{array}{rl} min + \sqrt{(1 - u) * (max - min) * (mode - min)} &\mbox{ if $(1 - u) <= (mode - min)/(max - min)$} \\ max - \sqrt{ u * (max - min) * (max - mode) } &\mbox{ otherwise} \end{array} \right. \]

which now involves the distance $u$ is from the 1.

Note that we have to re-implement this method here because the method is overloaded above for the three-argument variant and the c++ name resolution rules don't work well with overloads split between parent and child classes.

Implements ns3::RandomVariableStream.

Definition at line 1243 of file random-variable-stream.cc.

References m_max, m_mean, m_min, and NS_LOG_FUNCTION.

Referenced by GetInteger().

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Member Data Documentation

double ns3::TriangularRandomVariable::m_max
private

The upper bound on values that can be returned by this RNG stream.

Definition at line 2014 of file random-variable-stream.h.

Referenced by GetInteger(), GetMax(), GetTypeId(), and GetValue().

double ns3::TriangularRandomVariable::m_mean
private

The mean value for the triangular distribution returned by this RNG stream.

Definition at line 2008 of file random-variable-stream.h.

Referenced by GetInteger(), GetMean(), GetTypeId(), and GetValue().

double ns3::TriangularRandomVariable::m_min
private

The lower bound on values that can be returned by this RNG stream.

Definition at line 2011 of file random-variable-stream.h.

Referenced by GetInteger(), GetMin(), GetTypeId(), and GetValue().


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