distributions.h File Reference

The distributions a user names, spelled as their Python twins. More...

#include <cstddef>
#include <string>
#include <vector>
#include "line/lang/dist_fitters.h"
#include "line/lang/lang_types.h"

Include dependency graph for distributions.h:

Go to the source code of this file.

Namespaces
namespace	line

Macros
#define	LINE_DIST_CTOR(Cls)
	Every named law below is a Distrib<double> under another name.

Typedefs
typedef lang::Distrib< double >	line::Distribution

Functions
	line::LINE_DIST_CTOR (Exp)
	Exp(rate): the exponential law of the given RATE, as Python's Exp.
	line::LINE_DIST_CTOR (Erlang)
	Erlang(phase_rate, nphases).
	line::LINE_DIST_CTOR (HyperExp)
	HyperExp(p, lambda1, lambda2).
	line::LINE_DIST_CTOR (Coxian)
	Coxian(mu, phi).
	line::LINE_DIST_CTOR (Cox2)
	Cox2(mu1, mu2, phi1).
	line::LINE_DIST_CTOR (PH)
	PH(alpha, A): a general phase-type law.
	line::LINE_DIST_CTOR (APH)
	APH(alpha, A): the acyclic phase-type law.
	line::LINE_DIST_CTOR (MAP)
	MAP(D0, D1).
	line::LINE_DIST_CTOR (Det)
	Det(t): the deterministic law.
	line::LINE_DIST_CTOR (Immediate)
	Immediate(): a zero-time transition.
	line::LINE_DIST_CTOR (Disabled)
	Disabled(): the class is not served here.
	line::LINE_DIST_CTOR (Uniform)
	Uniform(a, b).
	line::LINE_DIST_CTOR (Pareto)
	Pareto(shape, scale).
	line::LINE_DIST_CTOR (Gamma)
	Gamma(shape, scale).
	line::LINE_DIST_CTOR (Weibull)
	Weibull(scale, shape).
	line::LINE_DIST_CTOR (Lognormal)
	Lognormal(logmean, logsigma).
	line::LINE_DIST_CTOR (Normal)
	Normal(mu, sigma).
	line::LINE_DIST_CTOR (Geometric)
	Geometric(p).
	line::LINE_DIST_CTOR (Bernoulli)
	Bernoulli(p).
	line::LINE_DIST_CTOR (Binomial)
	Binomial(n, p).
	line::LINE_DIST_CTOR (Poisson)
	Poisson(lambda).
	line::LINE_DIST_CTOR (DiscreteUniform)
	DiscreteUniform(a, b).
	line::LINE_DIST_CTOR (Zipf)
	Zipf(s, n).
	line::LINE_DIST_CTOR (DiscreteSampler)
	DiscreteSampler(p, x).
	line::LINE_DIST_CTOR (Replayer)
	Replayer(samples) / Replayer(samples, path): the trace-driven law.

Detailed Description

The distributions a user names, spelled as their Python twins.

queue1.set_service(closed, Exp(1.0));
delay.set_service(open, Erlang(3.0, 2));
delay.set_service(open, HyperExp(0.5, 3.0, 10.0));

against Python's Exp(1.0), Erlang(3.0, 2), HyperExp(0.5, 3.0, 10.0).

EACH IS A THIN NAME OVER THE FACTORY THAT ALREADY EXISTS. Every constructor assigns the Distrib<double> that lang_types.h builds, so the numeric behaviour is the factory's and nothing new is computed here; deriving from Distrib<double> is what lets one slice cleanly into set_service, which takes the base by const reference.

The fitters keep Python's static-method spelling (HyperExp::fit_mean_and_scv), forwarding to line/lang/dist_fitters.h.

double-only, as Python is. Reach for lang::Distrib<T>'s own factories directly for the multiprecision paths.

Definition in file distributions.h.

Macro Definition Documentation

LINE_DIST_CTOR

#define LINE_DIST_CTOR

(

Cls

)

Value:

struct Cls : lang::Distrib<double>

Every named law below is a Distrib<double> under another name.

Definition at line 45 of file distributions.h.