Files
@ 29857512e53b
Branch filter:
Location: AENC/switchchain/cpp/powerlaw.hpp - annotation
29857512e53b
1010 B
text/x-c++hdr
Add triangle creation frequency histogram plots
bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 bfca8e3039c5 | #pragma once
#include <cassert>
#include <cmath>
#include <random>
// Discrete powerlaw distribution
// obtained by rounding a continuous powerlaw distribution
class powerlaw_distribution {
public:
// xmin and xmax are inclusive
powerlaw_distribution(float a, unsigned int _xmin, unsigned int _xmax)
: alpha(a), xmin(_xmin), xmax(_xmax) {
assert(xmin > 0);
assert(xmin <= xmax);
assert(alpha > 1.0f);
_exponent = -1.0f / (alpha - 1.0f);
}
~powerlaw_distribution() {}
template <class Generator>
unsigned int operator()(Generator& rng) const {
unsigned int x = xmax + 1;
while (x > xmax) {
// Generate uniform value in [0,1)
double r = std::generate_canonical<
double, std::numeric_limits<double>::digits>(rng);
x = std::round(std::pow(r, _exponent) * xmin);
}
return x;
}
private:
float alpha;
double _exponent;
unsigned int xmin, xmax;
};
|