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[/] [openrisc/] [trunk/] [gnu-dev/] [or1k-gcc/] [libgo/] [go/] [math/] [rand/] [zipf.go] - Rev 747
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// Copyright 2009 The Go Authors. All rights reserved.// Use of this source code is governed by a BSD-style// license that can be found in the LICENSE file.// W.Hormann, G.Derflinger:// "Rejection-Inversion to Generate Variates// from Monotone Discrete Distributions"// http://eeyore.wu-wien.ac.at/papers/96-04-04.wh-der.ps.gzpackage randimport "math"// A Zipf generates Zipf distributed variates.type Zipf struct {r *Randimax float64v float64q float64s float64oneminusQ float64oneminusQinv float64hxm float64hx0minusHxm float64}func (z *Zipf) h(x float64) float64 {return math.Exp(z.oneminusQ*math.Log(z.v+x)) * z.oneminusQinv}func (z *Zipf) hinv(x float64) float64 {return math.Exp(z.oneminusQinv*math.Log(z.oneminusQ*x)) - z.v}// NewZipf returns a Zipf generating variates p(k) on [0, imax]// proportional to (v+k)**(-s) where s>1 and k>=0, and v>=1.//func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf {z := new(Zipf)if s <= 1.0 || v < 1 {return nil}z.r = rz.imax = float64(imax)z.v = vz.q = sz.oneminusQ = 1.0 - z.qz.oneminusQinv = 1.0 / z.oneminusQz.hxm = z.h(z.imax + 0.5)z.hx0minusHxm = z.h(0.5) - math.Exp(math.Log(z.v)*(-z.q)) - z.hxmz.s = 1 - z.hinv(z.h(1.5)-math.Exp(-z.q*math.Log(z.v+1.0)))return z}// Uint64 returns a value drawn from the Zipf distributed described// by the Zipf object.func (z *Zipf) Uint64() uint64 {k := 0.0for {r := z.r.Float64() // r on [0,1]ur := z.hxm + r*z.hx0minusHxmx := z.hinv(ur)k = math.Floor(x + 0.5)if k-x <= z.s {break}if ur >= z.h(k+0.5)-math.Exp(-math.Log(k+z.v)*z.q) {break}}return uint64(k)}
