Inheritance diagram for ns3::WeibullVariableImpl:
Collaboration diagram for ns3::WeibullVariableImpl:Public Member Functions | |
| WeibullVariableImpl () | |
| Constructs a weibull random variable with a mean value of 1.0 and a shape (alpha) parameter of 1. More... | |
| WeibullVariableImpl (double m) | |
| Constructs a weibull random variable with the specified mean value and a shape (alpha) parameter of 1.5. More... | |
| WeibullVariableImpl (double m, double s) | |
| Constructs a weibull random variable with the specified mean value and a shape (alpha). More... | |
| WeibullVariableImpl (double m, double s, double b) | |
| Constructs a weibull random variable with the specified mean. More... | |
| WeibullVariableImpl (const WeibullVariableImpl &c) | |
| virtual RandomVariableBase * | Copy (void) const |
| virtual double | GetValue () |
Public Member Functions inherited from ns3::RandomVariableBase | |
| RandomVariableBase () | |
| RandomVariableBase (const RandomVariableBase &o) | |
| virtual | ~RandomVariableBase () |
| virtual uint32_t | GetInteger () |
| RngStream * | GetStream (void) |
Private Attributes | |
| double | m_alpha |
| double | m_bound |
| double | m_mean |
Definition at line 823 of file random-variable.cc.
| ns3::WeibullVariableImpl::WeibullVariableImpl | ( | ) |
Constructs a weibull random variable with a mean value of 1.0 and a shape (alpha) parameter of 1.
Definition at line 875 of file random-variable.cc.
References NS_LOG_FUNCTION.
Referenced by Copy().
Here is the caller graph for this function:| ns3::WeibullVariableImpl::WeibullVariableImpl | ( | double | m | ) |
Constructs a weibull random variable with the specified mean value and a shape (alpha) parameter of 1.5.
| m | mean value of the distribution |
Definition at line 881 of file random-variable.cc.
References NS_LOG_FUNCTION.
| ns3::WeibullVariableImpl::WeibullVariableImpl | ( | double | m, |
| double | s | ||
| ) |
Constructs a weibull random variable with the specified mean value and a shape (alpha).
| m | Mean value for the distribution. |
| s | Shape (alpha) parameter for the distribution. |
Definition at line 888 of file random-variable.cc.
References NS_LOG_FUNCTION.
| ns3::WeibullVariableImpl::WeibullVariableImpl | ( | double | m, |
| double | s, | ||
| double | b | ||
| ) |
Constructs a weibull random variable with the specified mean.
value, shape (alpha), and upper bound. Since WeibullVariableImpl distributions can theoretically return unbounded values, it is sometimes usefull to specify a fixed upper limit. Note however that when the upper limit is specified, the true mean of the distribution is slightly smaller than the mean value specified.
| m | Mean value for the distribution. |
| s | Shape (alpha) parameter for the distribution. |
| b | Upper limit on returned values |
Definition at line 895 of file random-variable.cc.
References NS_LOG_FUNCTION.
| ns3::WeibullVariableImpl::WeibullVariableImpl | ( | const WeibullVariableImpl & | c | ) |
Definition at line 902 of file random-variable.cc.
References NS_LOG_FUNCTION.
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virtual |
Implements ns3::RandomVariableBase.
Definition at line 927 of file random-variable.cc.
References NS_LOG_FUNCTION, and WeibullVariableImpl().
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virtual |
Implements ns3::RandomVariableBase.
Definition at line 911 of file random-variable.cc.
References ns3::RandomVariableBase::GetStream(), m_alpha, m_bound, m_mean, NS_LOG_FUNCTION, and ns3::RngStream::RandU01().
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private |
Definition at line 871 of file random-variable.cc.
Referenced by GetValue().
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private |
Definition at line 872 of file random-variable.cc.
Referenced by GetValue().
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private |
Definition at line 870 of file random-variable.cc.
Referenced by GetValue().