Source file src/pkg/math/rand/zipf.go
1 // Copyright 2009 The Go Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style
3 // license that can be found in the LICENSE file.
4
5 // W.Hormann, G.Derflinger:
6 // "Rejection-Inversion to Generate Variates
7 // from Monotone Discrete Distributions"
8 // http://eeyore.wu-wien.ac.at/papers/96-04-04.wh-der.ps.gz
9
10 package rand
11
12 import "math"
13
14 // A Zipf generates Zipf distributed variates.
15 type Zipf struct {
16 r *Rand
17 imax float64
18 v float64
19 q float64
20 s float64
21 oneminusQ float64
22 oneminusQinv float64
23 hxm float64
24 hx0minusHxm float64
25 }
26
27 func (z *Zipf) h(x float64) float64 {
28 return math.Exp(z.oneminusQ*math.Log(z.v+x)) * z.oneminusQinv
29 }
30
31 func (z *Zipf) hinv(x float64) float64 {
32 return math.Exp(z.oneminusQinv*math.Log(z.oneminusQ*x)) - z.v
33 }
34
35 // NewZipf returns a Zipf generating variates p(k) on [0, imax]
36 // proportional to (v+k)**(-s) where s>1 and k>=0, and v>=1.
37 //
38 func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf {
39 z := new(Zipf)
40 if s <= 1.0 || v < 1 {
41 return nil
42 }
43 z.r = r
44 z.imax = float64(imax)
45 z.v = v
46 z.q = s
47 z.oneminusQ = 1.0 - z.q
48 z.oneminusQinv = 1.0 / z.oneminusQ
49 z.hxm = z.h(z.imax + 0.5)
50 z.hx0minusHxm = z.h(0.5) - math.Exp(math.Log(z.v)*(-z.q)) - z.hxm
51 z.s = 1 - z.hinv(z.h(1.5)-math.Exp(-z.q*math.Log(z.v+1.0)))
52 return z
53 }
54
55 // Uint64 returns a value drawn from the Zipf distributed described
56 // by the Zipf object.
57 func (z *Zipf) Uint64() uint64 {
58 k := 0.0
59
60 for {
61 r := z.r.Float64() // r on [0,1]
62 ur := z.hxm + r*z.hx0minusHxm
63 x := z.hinv(ur)
64 k = math.Floor(x + 0.5)
65 if k-x <= z.s {
66 break
67 }
68 if ur >= z.h(k+0.5)-math.Exp(-math.Log(k+z.v)*z.q) {
69 break
70 }
71 }
72 return uint64(k)
73 }