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core: Remove obsolete example.

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This commit is contained in:
Peter D. Barnes, Jr.
2018-05-22 16:03:09 -07:00
parent 1f6e713f53
commit f9468d72f7
1 changed files with 0 additions and 559 deletions
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src/core/examples/main-random-variable.cc
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@@ -1,559 +0,0 @@
/* -*- Mode:C++; c-file-style:"gnu"; indent-tabs-mode:nil; -*- */
/*
* Copyright (c) 2008 Timo Bingmann
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License version 2 as
* published by the Free Software Foundation;
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*
* Author: Timo Bingmann <timo.bingmann@student.kit.edu>
*/
#include "ns3/random-variable-stream.h"
#include "ns3/ptr.h"
#include "ns3/double.h"
#include "ns3/string.h"
#include "ns3/integer.h"
#include "ns3/gnuplot.h"
#include "ns3/command-line.h"
#include <map>
#include <cmath>
/**
* \file
* \ingroup core-examples
* \ingroup randomvariable
* Example program illustrating use of (Deprecated) RandomVariable
*/
using namespace ns3;
namespace {
/**
* Round a double number to the given precision.
* For example, `dround(0.234, 0.1) = 0.2`
* and `dround(0.257, 0.1) = 0.3`
* \param [in] number The number to round.
* \param [in] precision The least significant digit to keep in the rounding.
* \returns \p number rounded to \p precision.
*/
double dround (double number, double precision)
{
number /= precision;
if (number >= 0)
number = std::floor (number + 0.5);
else
number = std::ceil (number - 0.5);
number *= precision;
return number;
}
/**
* Generate a histogram from a RandomVariableStream.
* \param [in] rndvar The RandomVariableStream to sample.
* \param [in] probes The number of samples.
* \param [in] precision The precision to round samples to.
* \param [in] title The title for the histogram.
* \param [in] impulses Set the plot style to IMPULSES.
* \return The histogram as a GnuPlot data set.
*/
static GnuplotDataset
Histogram (Ptr<RandomVariableStream> rndvar,
unsigned int probes, double precision,
const std::string& title, bool impulses = false)
{
typedef std::map<double, unsigned int> histogram_maptype;
histogram_maptype histogram;
for(unsigned int i = 0; i < probes; ++i)
{
double val = dround ( rndvar->GetValue (), precision );
++histogram[val];
}
Gnuplot2dDataset data;
data.SetTitle (title);
if (impulses)
{
data.SetStyle (Gnuplot2dDataset::IMPULSES);
}
for(histogram_maptype::const_iterator hi = histogram.begin ();
hi != histogram.end (); ++hi)
{
data.Add (hi->first, (double)hi->second / (double)probes / precision);
}
return data;
}
} // unnamed namespace
int main (int argc, char *argv[])
{
CommandLine cmd;
cmd.Parse(argc, argv);
unsigned int probes = 1000000;
double precision = 0.01;
GnuplotCollection gnuplots ("main-random-variables.pdf");
gnuplots.SetTerminal ("pdf enhanced");
{
Gnuplot plot;
plot.SetTitle ("UniformRandomVariable");
plot.AppendExtra ("set yrange [0:]");
Ptr<UniformRandomVariable> x = CreateObject<UniformRandomVariable> ();
x->SetAttribute ("Min", DoubleValue (0.0));
x->SetAttribute ("Max", DoubleValue (1.0));
plot.AddDataset ( Histogram (x, probes, precision,
"UniformRandomVariable [0.0 .. 1.0)") );
plot.AddDataset ( Gnuplot2dFunction ("1.0",
"0 <= x && x <= 1 ? 1.0 : 0") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("ExponentialRandomVariable");
plot.AppendExtra ("set xrange [0:8]");
plot.AppendExtra ("ExpDist(x,l) = 1/l * exp(-1/l * x)");
Ptr<ExponentialRandomVariable> x1 = CreateObject<ExponentialRandomVariable> ();
x1->SetAttribute ("Mean", DoubleValue (0.5));
plot.AddDataset ( Histogram (x1, probes, precision,
"ExponentialRandomVariable m=0.5") );
plot.AddDataset ( Gnuplot2dFunction ("ExponentialDistribution mean 0.5",
"ExpDist(x, 0.5)") );
Ptr<ExponentialRandomVariable> x2 = CreateObject<ExponentialRandomVariable> ();
x2->SetAttribute ("Mean", DoubleValue (1.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"ExponentialRandomVariable m=1") );
plot.AddDataset ( Gnuplot2dFunction ("ExponentialDistribution mean 1.0",
"ExpDist(x, 1.0)") );
Ptr<ExponentialRandomVariable> x3 = CreateObject<ExponentialRandomVariable> ();
x3->SetAttribute ("Mean", DoubleValue (1.5));
plot.AddDataset ( Histogram (x3, probes, precision,
"ExponentialRandomVariable m=1.5") );
plot.AddDataset ( Gnuplot2dFunction ("ExponentialDistribution mean 1.5",
"ExpDist(x, 1.5)") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("ParetoRandomVariable");
plot.AppendExtra ("set xrange [0:2]");
Ptr<ParetoRandomVariable> x1 = CreateObject<ParetoRandomVariable> ();
x1->SetAttribute ("Scale", DoubleValue (1.0));
x1->SetAttribute ("Shape", DoubleValue (1.5));
plot.AddDataset ( Histogram (x1, probes, precision,
"ParetoRandomVariable scale=1.0 shape=1.5") );
Ptr<ParetoRandomVariable> x2 = CreateObject<ParetoRandomVariable> ();
x2->SetAttribute ("Scale", DoubleValue (1.0));
x2->SetAttribute ("Shape", DoubleValue (2.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"ParetoRandomVariable scale=1.0 shape=2.0") );
Ptr<ParetoRandomVariable> x3 = CreateObject<ParetoRandomVariable> ();
x3->SetAttribute ("Scale", DoubleValue (1.0));
x3->SetAttribute ("Shape", DoubleValue (2.5));
plot.AddDataset ( Histogram (x3, probes, precision,
"ParetoRandomVariable scale=1.0 shape=2.5") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("WeibullRandomVariable");
plot.AppendExtra ("set xrange [0:3]");
Ptr<WeibullRandomVariable> x1 = CreateObject<WeibullRandomVariable> ();
x1->SetAttribute ("Scale", DoubleValue (1.0));
x1->SetAttribute ("Shape", DoubleValue (1.0));
plot.AddDataset ( Histogram (x1, probes, precision,
"WeibullRandomVariable scale=1.0 shape=1.0") );
Ptr<WeibullRandomVariable> x2 = CreateObject<WeibullRandomVariable> ();
x2->SetAttribute ("Scale", DoubleValue (1.0));
x2->SetAttribute ("Shape", DoubleValue (2.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"WeibullRandomVariable scale=1.0 shape=2.0") );
Ptr<WeibullRandomVariable> x3 = CreateObject<WeibullRandomVariable> ();
x3->SetAttribute ("Scale", DoubleValue (1.0));
x3->SetAttribute ("Shape", DoubleValue (3.0));
plot.AddDataset ( Histogram (x3, probes, precision,
"WeibullRandomVariable scale=1.0 shape=3.0") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("NormalRandomVariable");
plot.AppendExtra ("set xrange [-3:3]");
plot.AppendExtra ("NormalDist(x,m,s) = 1 / (s * sqrt(2*pi)) * exp(-1.0 / 2.0 * ((x-m) / s)**2)");
Ptr<NormalRandomVariable> x1 = CreateObject<NormalRandomVariable> ();
x1->SetAttribute ("Mean", DoubleValue (0.0));
x1->SetAttribute ("Variance", DoubleValue (1.0));
plot.AddDataset ( Histogram (x1, probes, precision,
"NormalRandomVariable m=0.0 v=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("NormalDist {/Symbol m}=0.0 {/Symbol s}=1.0",
"NormalDist(x,0.0,1.0)") );
Ptr<NormalRandomVariable> x2 = CreateObject<NormalRandomVariable> ();
x2->SetAttribute ("Mean", DoubleValue (0.0));
x2->SetAttribute ("Variance", DoubleValue (2.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"NormalRandomVariable m=0.0 v=2.0") );
plot.AddDataset ( Gnuplot2dFunction ("NormalDist {/Symbol m}=0.0 {/Symbol s}=sqrt(2.0)",
"NormalDist(x,0.0,sqrt(2.0))") );
Ptr<NormalRandomVariable> x3 = CreateObject<NormalRandomVariable> ();
x3->SetAttribute ("Mean", DoubleValue (0.0));
x3->SetAttribute ("Variance", DoubleValue (3.0));
plot.AddDataset ( Histogram (x3, probes, precision,
"NormalRandomVariable m=0.0 v=3.0") );
plot.AddDataset ( Gnuplot2dFunction ("NormalDist {/Symbol m}=0.0 {/Symbol s}=sqrt(3.0)",
"NormalDist(x,0.0,sqrt(3.0))") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("EmpiricalRandomVariable");
plot.AppendExtra ("set xrange [*:*]");
Ptr<EmpiricalRandomVariable> emp1 = CreateObject<EmpiricalRandomVariable> ();
emp1->CDF (0.0, 0.0 / 15.0);
emp1->CDF (0.2, 1.0 / 15.0);
emp1->CDF (0.4, 3.0 / 15.0);
emp1->CDF (0.6, 6.0 / 15.0);
emp1->CDF (0.8, 10.0 / 15.0);
emp1->CDF (1.0, 15.0 / 15.0);
plot.AddDataset ( Histogram (emp1, probes, precision,
"EmpiricalRandomVariable (Stairs)") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("DeterministicRandomVariable");
plot.AppendExtra ("set xrange [*:*]");
double values[] = { 0.0, 0.2, 0.2, 0.4, 0.2, 0.6, 0.8, 0.8, 1.0 };
Ptr<DeterministicRandomVariable> det1 = CreateObject<DeterministicRandomVariable> ();
det1->SetValueArray (values, sizeof(values) / sizeof(values[0]));
plot.AddDataset ( Histogram (det1, probes, precision,
"DeterministicRandomVariable", true) );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("LogNormalRandomVariable");
plot.AppendExtra ("set xrange [0:3]");
plot.AppendExtra ("LogNormalDist(x,m,s) = 1.0/x * NormalDist(log(x), m, s)");
Ptr<LogNormalRandomVariable> x1 = CreateObject<LogNormalRandomVariable> ();
x1->SetAttribute ("Mu", DoubleValue (0.0));
x1->SetAttribute ("Sigma", DoubleValue (1.0));
plot.AddDataset ( Histogram (x1, probes, precision,
"LogNormalRandomVariable m=0.0 s=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("LogNormalDist(x, 0.0, 1.0)",
"LogNormalDist(x, 0.0, 1.0)") );
Ptr<LogNormalRandomVariable> x2 = CreateObject<LogNormalRandomVariable> ();
x2->SetAttribute ("Mu", DoubleValue (0.0));
x2->SetAttribute ("Sigma", DoubleValue (0.5));
plot.AddDataset ( Histogram (x2, probes, precision,
"LogNormalRandomVariable m=0.0 s=0.5") );
Ptr<LogNormalRandomVariable> x3 = CreateObject<LogNormalRandomVariable> ();
x3->SetAttribute ("Mu", DoubleValue (0.0));
x3->SetAttribute ("Sigma", DoubleValue (0.25));
plot.AddDataset ( Histogram (x3, probes, precision,
"LogNormalRandomVariable m=0.0 s=0.25") );
plot.AddDataset ( Gnuplot2dFunction ("LogNormalDist(x, 0.0, 0.25)",
"LogNormalDist(x, 0.0, 0.25)") );
Ptr<LogNormalRandomVariable> x4 = CreateObject<LogNormalRandomVariable> ();
x4->SetAttribute ("Mu", DoubleValue (0.0));
x4->SetAttribute ("Sigma", DoubleValue (0.125));
plot.AddDataset ( Histogram (x4, probes, precision,
"LogNormalRandomVariable m=0.0 s=0.125") );
Ptr<LogNormalRandomVariable> x5 = CreateObject<LogNormalRandomVariable> ();
x5->SetAttribute ("Mu", DoubleValue (0.0));
x5->SetAttribute ("Sigma", DoubleValue (2.0));
plot.AddDataset ( Histogram (x5, probes, precision,
"LogNormalRandomVariable m=0.0 s=2.0") );
plot.AddDataset ( Gnuplot2dFunction ("LogNormalDist(x, 0.0, 2.0)",
"LogNormalDist(x, 0.0, 2.0)") );
Ptr<LogNormalRandomVariable> x6 = CreateObject<LogNormalRandomVariable> ();
x6->SetAttribute ("Mu", DoubleValue (0.0));
x6->SetAttribute ("Sigma", DoubleValue (2.5));
plot.AddDataset ( Histogram (x6, probes, precision,
"LogNormalRandomVariable m=0.0 s=2.5") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("TriangularRandomVariable");
plot.AppendExtra ("set xrange [*:*]");
Ptr<TriangularRandomVariable> x1 = CreateObject<TriangularRandomVariable> ();
x1->SetAttribute ("Min", DoubleValue (0.0));
x1->SetAttribute ("Max", DoubleValue (1.0));
x1->SetAttribute ("Mean", DoubleValue (0.5));
plot.AddDataset ( Histogram (x1, probes, precision,
"TriangularRandomVariable [0.0 .. 1.0) m=0.5") );
Ptr<TriangularRandomVariable> x2 = CreateObject<TriangularRandomVariable> ();
x2->SetAttribute ("Min", DoubleValue (0.0));
x2->SetAttribute ("Max", DoubleValue (1.0));
x2->SetAttribute ("Mean", DoubleValue (0.4));
plot.AddDataset ( Histogram (x2, probes, precision,
"TriangularRandomVariable [0.0 .. 1.0) m=0.4") );
Ptr<TriangularRandomVariable> x3 = CreateObject<TriangularRandomVariable> ();
x3->SetAttribute ("Min", DoubleValue (0.0));
x3->SetAttribute ("Max", DoubleValue (1.0));
x3->SetAttribute ("Mean", DoubleValue (0.65));
plot.AddDataset ( Histogram (x3, probes, precision,
"TriangularRandomVariable [0.0 .. 1.0) m=0.65") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("GammaRandomVariable");
plot.AppendExtra ("set xrange [0:10]");
plot.AppendExtra ("set yrange [0:1]");
plot.AppendExtra ("GammaDist(x,a,b) = x**(a-1) * 1/b**a * exp(-x/b) / gamma(a)");
plot.AppendExtra ("set label 1 '{/Symbol g}(x,{/Symbol a},{/Symbol b}) = x^{/Symbol a-1} e^{-x {/Symbol b}^{-1}} ( {/Symbol b}^{/Symbol a} {/Symbol G}({/Symbol a}) )^{-1}' at 0.7, 0.9");
Ptr<GammaRandomVariable> x1 = CreateObject<GammaRandomVariable> ();
x1->SetAttribute ("Alpha", DoubleValue (1.0));
x1->SetAttribute ("Beta", DoubleValue (1.0));
plot.AddDataset ( Histogram (x1, probes, precision,
"GammaRandomVariable a=1.0 b=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 1.0, 1.0)",
"GammaDist(x, 1.0, 1.0)") );
Ptr<GammaRandomVariable> x2 = CreateObject<GammaRandomVariable> ();
x2->SetAttribute ("Alpha", DoubleValue (1.5));
x2->SetAttribute ("Beta", DoubleValue (1.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"GammaRandomVariable a=1.5 b=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 1.5, 1.0)",
"GammaDist(x, 1.5, 1.0)") );
Ptr<GammaRandomVariable> x3 = CreateObject<GammaRandomVariable> ();
x3->SetAttribute ("Alpha", DoubleValue (2.0));
x3->SetAttribute ("Beta", DoubleValue (1.0));
plot.AddDataset ( Histogram (x3, probes, precision,
"GammaRandomVariable a=2.0 b=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 2.0, 1.0)",
"GammaDist(x, 2.0, 1.0)") );
Ptr<GammaRandomVariable> x4 = CreateObject<GammaRandomVariable> ();
x4->SetAttribute ("Alpha", DoubleValue (4.0));
x4->SetAttribute ("Beta", DoubleValue (1.0));
plot.AddDataset ( Histogram (x4, probes, precision,
"GammaRandomVariable a=4.0 b=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 4.0, 1.0)",
"GammaDist(x, 4.0, 1.0)") );
Ptr<GammaRandomVariable> x5 = CreateObject<GammaRandomVariable> ();
x5->SetAttribute ("Alpha", DoubleValue (2.0));
x5->SetAttribute ("Beta", DoubleValue (2.0));
plot.AddDataset ( Histogram (x5, probes, precision,
"GammaRandomVariable a=2.0 b=2.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 2.0, 2.0)",
"GammaDist(x, 2.0, 2.0)") );
Ptr<GammaRandomVariable> x6 = CreateObject<GammaRandomVariable> ();
x6->SetAttribute ("Alpha", DoubleValue (2.5));
x6->SetAttribute ("Beta", DoubleValue (3.0));
plot.AddDataset ( Histogram (x6, probes, precision,
"GammaRandomVariable a=2.5 b=3.0") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 2.5, 3.0)",
"GammaDist(x, 2.5, 3.0)") );
Ptr<GammaRandomVariable> x7 = CreateObject<GammaRandomVariable> ();
x7->SetAttribute ("Alpha", DoubleValue (2.5));
x7->SetAttribute ("Beta", DoubleValue (4.5));
plot.AddDataset ( Histogram (x7, probes, precision,
"GammaRandomVariable a=2.5 b=4.5") );
plot.AddDataset ( Gnuplot2dFunction ("{/Symbol g}(x, 2.5, 4.5)",
"GammaDist(x, 2.5, 4.5)") );
gnuplots.AddPlot (plot);
}
{
Gnuplot plot;
plot.SetTitle ("ErlangRandomVariable");
plot.AppendExtra ("set xrange [0:10]");
plot.AppendExtra ("ErlangDist(x,k,l) = x**(k-1) * 1/l**k * exp(-x/l) / (k-1)!");
plot.AppendExtra ("set label 1 'Erlang(x,k,{/Symbol l}) = x^{k-1} e^{-x {/Symbol l}^{-1}} ( {/Symbol l}^k (k-1)! )^{-1}' at 0.7, 0.9");
Ptr<ErlangRandomVariable> x1 = CreateObject<ErlangRandomVariable> ();
x1->SetAttribute ("K", IntegerValue (1));
x1->SetAttribute ("Lambda", DoubleValue (1.0));
plot.AddDataset ( Histogram (x1, probes, precision,
"ErlangRandomVariable k=1 {/Symbol l}=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 1, 1.0)",
"ErlangDist(x, 1, 1.0)") );
Ptr<ErlangRandomVariable> x2 = CreateObject<ErlangRandomVariable> ();
x2->SetAttribute ("K", IntegerValue (2));
x2->SetAttribute ("Lambda", DoubleValue (1.0));
plot.AddDataset ( Histogram (x2, probes, precision,
"ErlangRandomVariable k=2 {/Symbol l}=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 2, 1.0)",
"ErlangDist(x, 2, 1.0)") );
Ptr<ErlangRandomVariable> x3 = CreateObject<ErlangRandomVariable> ();
x3->SetAttribute ("K", IntegerValue (3));
x3->SetAttribute ("Lambda", DoubleValue (1.0));
plot.AddDataset ( Histogram (x3, probes, precision,
"ErlangRandomVariable k=3 {/Symbol l}=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 3, 1.0)",
"ErlangDist(x, 3, 1.0)") );
Ptr<ErlangRandomVariable> x4 = CreateObject<ErlangRandomVariable> ();
x4->SetAttribute ("K", IntegerValue (5));
x4->SetAttribute ("Lambda", DoubleValue (1.0));
plot.AddDataset ( Histogram (x4, probes, precision,
"ErlangRandomVariable k=5 {/Symbol l}=1.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 5, 1.0)",
"ErlangDist(x, 5, 1.0)") );
Ptr<ErlangRandomVariable> x5 = CreateObject<ErlangRandomVariable> ();
x5->SetAttribute ("K", IntegerValue (2));
x5->SetAttribute ("Lambda", DoubleValue (2.0));
plot.AddDataset ( Histogram (x5, probes, precision,
"ErlangRandomVariable k=2 {/Symbol l}=2.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 2, 2.0)",
"ErlangDist(x, 2, 2.0)") );
Ptr<ErlangRandomVariable> x6 = CreateObject<ErlangRandomVariable> ();
x6->SetAttribute ("K", IntegerValue (2));
x6->SetAttribute ("Lambda", DoubleValue (3.0));
plot.AddDataset ( Histogram (x6, probes, precision,
"ErlangRandomVariable k=2 {/Symbol l}=3.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 2, 3.0)",
"ErlangDist(x, 2, 3.0)") );
Ptr<ErlangRandomVariable> x7 = CreateObject<ErlangRandomVariable> ();
x7->SetAttribute ("K", IntegerValue (2));
x7->SetAttribute ("Lambda", DoubleValue (5.0));
plot.AddDataset ( Histogram (x7, probes, precision,
"ErlangRandomVariable k=2 {/Symbol l}=5.0") );
plot.AddDataset ( Gnuplot2dFunction ("Erlang(x, 2, 5.0)",
"ErlangDist(x, 2, 5.0)") );
gnuplots.AddPlot (plot);
}
gnuplots.GenerateOutput (std::cout);
return 0;
}