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<div class="section">
<div class="titlepage"><div><div><h2 class="title" style="clear: both">
<a name="boost_random.performance"></a><a class="link" href="performance.html" title="Performance">Performance</a>
</h2></div></div></div>
<p>
For some people, performance of random number generation is an important consideration
when choosing a random number generator or a particular distribution function.
This page provides numerous performance tests with the wide variety of generators
and distributions available in the boost library.
</p>
<p>
The performance has been evaluated on an Intel(R) Core(TM) i7 CPU Q 840 @ 1.87GHz,
1867 Mhz with Visual C++ 2010, Microsoft Windows 7 Professional and with gcc
4.4.5, Ubuntu Linux 2.6.35-25-generic. The speed is reported in million random
numbers per second (M rn/sec), generated in a tight loop.
</p>
<div class="table">
<a name="boost_random.performance.basic_generators__linux_"></a><p class="title"><b>Table 34.14. Basic Generators (Linux)</b></p>
<div class="table-contents"><table class="table" summary="Basic Generators (Linux)">
<colgroup>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
generator
</p>
</th>
<th>
<p>
M rn/sec
</p>
</th>
<th>
<p>
time per random number [nsec]
</p>
</th>
<th>
<p>
relative speed compared to fastest [percent]
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
rand48
</p>
</td>
<td>
<p>
149.254
</p>
</td>
<td>
<p>
6.7
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
lrand48 run-time
</p>
</td>
<td>
<p>
158.73
</p>
</td>
<td>
<p>
6.3
</p>
</td>
<td>
<p>
63%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand0
</p>
</td>
<td>
<p>
22.9885
</p>
</td>
<td>
<p>
43.5
</p>
</td>
<td>
<p>
9%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand
</p>
</td>
<td>
<p>
22.0751
</p>
</td>
<td>
<p>
45.3
</p>
</td>
<td>
<p>
8%
</p>
</td>
</tr>
<tr>
<td>
<p>
ecuyer combined
</p>
</td>
<td>
<p>
42.735
</p>
</td>
<td>
<p>
23.4
</p>
</td>
<td>
<p>
17%
</p>
</td>
</tr>
<tr>
<td>
<p>
kreutzer1986
</p>
</td>
<td>
<p>
151.515
</p>
</td>
<td>
<p>
6.6
</p>
</td>
<td>
<p>
60%
</p>
</td>
</tr>
<tr>
<td>
<p>
taus88
</p>
</td>
<td>
<p>
250
</p>
</td>
<td>
<p>
4
</p>
</td>
<td>
<p>
100%
</p>
</td>
</tr>
<tr>
<td>
<p>
knuth_b
</p>
</td>
<td>
<p>
19.6078
</p>
</td>
<td>
<p>
51
</p>
</td>
<td>
<p>
7%
</p>
</td>
</tr>
<tr>
<td>
<p>
hellekalek1995 (inversive)
</p>
</td>
<td>
<p>
4.54545
</p>
</td>
<td>
<p>
220
</p>
</td>
<td>
<p>
1%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt11213b
</p>
</td>
<td>
<p>
204.082
</p>
</td>
<td>
<p>
4.9
</p>
</td>
<td>
<p>
81%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937
</p>
</td>
<td>
<p>
204.082
</p>
</td>
<td>
<p>
4.9
</p>
</td>
<td>
<p>
81%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937_64
</p>
</td>
<td>
<p>
60.6061
</p>
</td>
<td>
<p>
16.5
</p>
</td>
<td>
<p>
24%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci607
</p>
</td>
<td>
<p>
126.582
</p>
</td>
<td>
<p>
7.9
</p>
</td>
<td>
<p>
50%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci1279
</p>
</td>
<td>
<p>
129.87
</p>
</td>
<td>
<p>
7.7
</p>
</td>
<td>
<p>
51%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci2281
</p>
</td>
<td>
<p>
129.87
</p>
</td>
<td>
<p>
7.7
</p>
</td>
<td>
<p>
51%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci3217
</p>
</td>
<td>
<p>
131.579
</p>
</td>
<td>
<p>
7.6
</p>
</td>
<td>
<p>
52%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci4423
</p>
</td>
<td>
<p>
128.205
</p>
</td>
<td>
<p>
7.8
</p>
</td>
<td>
<p>
51%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci9689
</p>
</td>
<td>
<p>
128.205
</p>
</td>
<td>
<p>
7.8
</p>
</td>
<td>
<p>
51%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci19937
</p>
</td>
<td>
<p>
131.579
</p>
</td>
<td>
<p>
7.6
</p>
</td>
<td>
<p>
52%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci23209
</p>
</td>
<td>
<p>
131.579
</p>
</td>
<td>
<p>
7.6
</p>
</td>
<td>
<p>
52%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci44497
</p>
</td>
<td>
<p>
131.579
</p>
</td>
<td>
<p>
7.6
</p>
</td>
<td>
<p>
52%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry
</p>
</td>
<td>
<p>
147.059
</p>
</td>
<td>
<p>
6.8
</p>
</td>
<td>
<p>
58%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry_01
</p>
</td>
<td>
<p>
105.263
</p>
</td>
<td>
<p>
9.5
</p>
</td>
<td>
<p>
42%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3
</p>
</td>
<td>
<p>
15.748
</p>
</td>
<td>
<p>
63.5
</p>
</td>
<td>
<p>
6%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4
</p>
</td>
<td>
<p>
9.11577
</p>
</td>
<td>
<p>
109.7
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3_01
</p>
</td>
<td>
<p>
10.5708
</p>
</td>
<td>
<p>
94.6
</p>
</td>
<td>
<p>
4%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4_01
</p>
</td>
<td>
<p>
6.27353
</p>
</td>
<td>
<p>
159.4
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3
</p>
</td>
<td>
<p>
15.8983
</p>
</td>
<td>
<p>
62.9
</p>
</td>
<td>
<p>
6%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4
</p>
</td>
<td>
<p>
9.14913
</p>
</td>
<td>
<p>
109.3
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3_01
</p>
</td>
<td>
<p>
10.9409
</p>
</td>
<td>
<p>
91.4
</p>
</td>
<td>
<p>
4%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4_01
</p>
</td>
<td>
<p>
6.32911
</p>
</td>
<td>
<p>
158
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux24
</p>
</td>
<td>
<p>
15.1976
</p>
</td>
<td>
<p>
65.8
</p>
</td>
<td>
<p>
6%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux48
</p>
</td>
<td>
<p>
8.88099
</p>
</td>
<td>
<p>
112.6
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937ar.c
</p>
</td>
<td>
<p>
111.111
</p>
</td>
<td>
<p>
9
</p>
</td>
<td>
<p>
44%
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><div class="table">
<a name="boost_random.performance.basic_generators__windows_"></a><p class="title"><b>Table 34.15. Basic Generators (Windows)</b></p>
<div class="table-contents"><table class="table" summary="Basic Generators (Windows)">
<colgroup>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
generator
</p>
</th>
<th>
<p>
M rn/sec
</p>
</th>
<th>
<p>
time per random number [nsec]
</p>
</th>
<th>
<p>
relative speed compared to fastest [percent]
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
rand48
</p>
</td>
<td>
<p>
152.672
</p>
</td>
<td>
<p>
6.55
</p>
</td>
<td>
<p>
64%
</p>
</td>
</tr>
<tr>
<td>
<p>
lrand48 run-time
</p>
</td>
<td>
<p>
24.3724
</p>
</td>
<td>
<p>
41.03
</p>
</td>
<td>
<p>
10%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand0
</p>
</td>
<td>
<p>
39.8248
</p>
</td>
<td>
<p>
25.11
</p>
</td>
<td>
<p>
16%
</p>
</td>
</tr>
<tr>
<td>
<p>
minstd_rand
</p>
</td>
<td>
<p>
39.0778
</p>
</td>
<td>
<p>
25.59
</p>
</td>
<td>
<p>
16%
</p>
</td>
</tr>
<tr>
<td>
<p>
ecuyer combined
</p>
</td>
<td>
<p>
16.7813
</p>
</td>
<td>
<p>
59.59
</p>
</td>
<td>
<p>
7%
</p>
</td>
</tr>
<tr>
<td>
<p>
kreutzer1986
</p>
</td>
<td>
<p>
89.0472
</p>
</td>
<td>
<p>
11.23
</p>
</td>
<td>
<p>
37%
</p>
</td>
</tr>
<tr>
<td>
<p>
taus88
</p>
</td>
<td>
<p>
237.53
</p>
</td>
<td>
<p>
4.21
</p>
</td>
<td>
<p>
100%
</p>
</td>
</tr>
<tr>
<td>
<p>
knuth_b
</p>
</td>
<td>
<p>
30.8166
</p>
</td>
<td>
<p>
32.45
</p>
</td>
<td>
<p>
12%
</p>
</td>
</tr>
<tr>
<td>
<p>
hellekalek1995 (inversive)
</p>
</td>
<td>
<p>
5.28457
</p>
</td>
<td>
<p>
189.23
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt11213b
</p>
</td>
<td>
<p>
237.53
</p>
</td>
<td>
<p>
4.21
</p>
</td>
<td>
<p>
100%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937
</p>
</td>
<td>
<p>
221.239
</p>
</td>
<td>
<p>
4.52
</p>
</td>
<td>
<p>
93%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937_64
</p>
</td>
<td>
<p>
91.5751
</p>
</td>
<td>
<p>
10.92
</p>
</td>
<td>
<p>
38%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci607
</p>
</td>
<td>
<p>
142.45
</p>
</td>
<td>
<p>
7.02
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci1279
</p>
</td>
<td>
<p>
142.45
</p>
</td>
<td>
<p>
7.02
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci2281
</p>
</td>
<td>
<p>
145.56
</p>
</td>
<td>
<p>
6.87
</p>
</td>
<td>
<p>
61%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci3217
</p>
</td>
<td>
<p>
149.031
</p>
</td>
<td>
<p>
6.71
</p>
</td>
<td>
<p>
62%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci4423
</p>
</td>
<td>
<p>
142.45
</p>
</td>
<td>
<p>
7.02
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci9689
</p>
</td>
<td>
<p>
145.773
</p>
</td>
<td>
<p>
6.86
</p>
</td>
<td>
<p>
61%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci19937
</p>
</td>
<td>
<p>
142.45
</p>
</td>
<td>
<p>
7.02
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci23209
</p>
</td>
<td>
<p>
145.773
</p>
</td>
<td>
<p>
6.86
</p>
</td>
<td>
<p>
61%
</p>
</td>
</tr>
<tr>
<td>
<p>
lagged_fibonacci44497
</p>
</td>
<td>
<p>
142.45
</p>
</td>
<td>
<p>
7.02
</p>
</td>
<td>
<p>
59%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry
</p>
</td>
<td>
<p>
136.24
</p>
</td>
<td>
<p>
7.34
</p>
</td>
<td>
<p>
57%
</p>
</td>
</tr>
<tr>
<td>
<p>
subtract_with_carry_01
</p>
</td>
<td>
<p>
90.3342
</p>
</td>
<td>
<p>
11.07
</p>
</td>
<td>
<p>
38%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3
</p>
</td>
<td>
<p>
13.1631
</p>
</td>
<td>
<p>
75.97
</p>
</td>
<td>
<p>
5%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4
</p>
</td>
<td>
<p>
7.60398
</p>
</td>
<td>
<p>
131.51
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux3_01
</p>
</td>
<td>
<p>
8.62738
</p>
</td>
<td>
<p>
115.91
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux4_01
</p>
</td>
<td>
<p>
4.99625
</p>
</td>
<td>
<p>
200.15
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3
</p>
</td>
<td>
<p>
13.1631
</p>
</td>
<td>
<p>
75.97
</p>
</td>
<td>
<p>
5%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4
</p>
</td>
<td>
<p>
7.5861
</p>
</td>
<td>
<p>
131.82
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_3_01
</p>
</td>
<td>
<p>
8.63931
</p>
</td>
<td>
<p>
115.75
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux64_4_01
</p>
</td>
<td>
<p>
5.01958
</p>
</td>
<td>
<p>
199.22
</p>
</td>
<td>
<p>
2%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux24
</p>
</td>
<td>
<p>
13.1631
</p>
</td>
<td>
<p>
75.97
</p>
</td>
<td>
<p>
5%
</p>
</td>
</tr>
<tr>
<td>
<p>
ranlux48
</p>
</td>
<td>
<p>
7.5861
</p>
</td>
<td>
<p>
131.82
</p>
</td>
<td>
<p>
3%
</p>
</td>
</tr>
<tr>
<td>
<p>
mt19937ar.c
</p>
</td>
<td>
<p>
200.401
</p>
</td>
<td>
<p>
4.99
</p>
</td>
<td>
<p>
84%
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><p>
Note that the lagged Fibonacci and ranlux_01 generators produce floating-point
numbers, whereas all others produce integers.
</p>
<div class="table">
<a name="boost_random.performance.distributions__linux_"></a><p class="title"><b>Table 34.16. Distributions (Linux)</b></p>
<div class="table-contents"><table class="table" summary="Distributions (Linux)">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
[M rn/sec]
</p>
</th>
<th>
<p>
minstd_rand
</p>
</th>
<th>
<p>
kreutzer1986
</p>
</th>
<th>
<p>
mt19937
</p>
</th>
<th>
<p>
lagged_fibonacci607
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
uniform_int
</p>
</td>
<td>
<p>
16.2338
</p>
</td>
<td>
<p>
48.7805
</p>
</td>
<td>
<p>
21.5517
</p>
</td>
<td>
<p>
23.8663
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_smallint
</p>
</td>
<td>
<p>
18.9036
</p>
</td>
<td>
<p>
114.943
</p>
</td>
<td>
<p>
25.3165
</p>
</td>
<td>
<p>
74.6269
</p>
</td>
</tr>
<tr>
<td>
<p>
bernoulli
</p>
</td>
<td>
<p>
21.322
</p>
</td>
<td>
<p>
85.4701
</p>
</td>
<td>
<p>
23.2558
</p>
</td>
<td>
<p>
125
</p>
</td>
</tr>
<tr>
<td>
<p>
geometric
</p>
</td>
<td>
<p>
9.42507
</p>
</td>
<td>
<p>
11.7925
</p>
</td>
<td>
<p>
7.38007
</p>
</td>
<td>
<p>
15.528
</p>
</td>
</tr>
<tr>
<td>
<p>
binomial
</p>
</td>
<td>
<p>
13.4953
</p>
</td>
<td>
<p>
29.7619
</p>
</td>
<td>
<p>
12.7877
</p>
</td>
<td>
<p>
38.7597
</p>
</td>
</tr>
<tr>
<td>
<p>
negative_binomial
</p>
</td>
<td>
<p>
1.69549
</p>
</td>
<td>
<p>
2.29305
</p>
</td>
<td>
<p>
1.65563
</p>
</td>
<td>
<p>
2.45098
</p>
</td>
</tr>
<tr>
<td>
<p>
poisson
</p>
</td>
<td>
<p>
13.7552
</p>
</td>
<td>
<p>
34.1297
</p>
</td>
<td>
<p>
13.369
</p>
</td>
<td>
<p>
43.8596
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_real
</p>
</td>
<td>
<p>
18.2815
</p>
</td>
<td>
<p>
44.4444
</p>
</td>
<td>
<p>
19.8413
</p>
</td>
<td>
<p>
119.048
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_01
</p>
</td>
<td>
<p>
21.692
</p>
</td>
<td>
<p>
72.4638
</p>
</td>
<td>
<p>
17.1233
</p>
</td>
<td>
<p>
116.279
</p>
</td>
</tr>
<tr>
<td>
<p>
triangle
</p>
</td>
<td>
<p>
15.2207
</p>
</td>
<td>
<p>
29.3255
</p>
</td>
<td>
<p>
11.9904
</p>
</td>
<td>
<p>
51.2821
</p>
</td>
</tr>
<tr>
<td>
<p>
exponential
</p>
</td>
<td>
<p>
10.5374
</p>
</td>
<td>
<p>
17.0068
</p>
</td>
<td>
<p>
10.8814
</p>
</td>
<td>
<p>
22.2222
</p>
</td>
</tr>
<tr>
<td>
<p>
normal polar
</p>
</td>
<td>
<p>
8.82613
</p>
</td>
<td>
<p>
12.9199
</p>
</td>
<td>
<p>
9.00901
</p>
</td>
<td>
<p>
14.771
</p>
</td>
</tr>
<tr>
<td>
<p>
lognormal
</p>
</td>
<td>
<p>
6.15764
</p>
</td>
<td>
<p>
7.50188
</p>
</td>
<td>
<p>
5.68182
</p>
</td>
<td>
<p>
8.61326
</p>
</td>
</tr>
<tr>
<td>
<p>
chi squared
</p>
</td>
<td>
<p>
2.07297
</p>
</td>
<td>
<p>
2.8401
</p>
</td>
<td>
<p>
2.10926
</p>
</td>
<td>
<p>
3.07409
</p>
</td>
</tr>
<tr>
<td>
<p>
cauchy
</p>
</td>
<td>
<p>
9.18274
</p>
</td>
<td>
<p>
14.8368
</p>
</td>
<td>
<p>
7.37463
</p>
</td>
<td>
<p>
17.3913
</p>
</td>
</tr>
<tr>
<td>
<p>
fisher f
</p>
</td>
<td>
<p>
1.04646
</p>
</td>
<td>
<p>
1.47449
</p>
</td>
<td>
<p>
1.08026
</p>
</td>
<td>
<p>
1.61186
</p>
</td>
</tr>
<tr>
<td>
<p>
student t
</p>
</td>
<td>
<p>
1.60927
</p>
</td>
<td>
<p>
2.18245
</p>
</td>
<td>
<p>
1.65207
</p>
</td>
<td>
<p>
2.34192
</p>
</td>
</tr>
<tr>
<td>
<p>
gamma
</p>
</td>
<td>
<p>
2.1097
</p>
</td>
<td>
<p>
2.87439
</p>
</td>
<td>
<p>
2.13538
</p>
</td>
<td>
<p>
3.01296
</p>
</td>
</tr>
<tr>
<td>
<p>
weibull
</p>
</td>
<td>
<p>
4.73709
</p>
</td>
<td>
<p>
5.77367
</p>
</td>
<td>
<p>
4.20521
</p>
</td>
<td>
<p>
6.33312
</p>
</td>
</tr>
<tr>
<td>
<p>
extreme value
</p>
</td>
<td>
<p>
7.40192
</p>
</td>
<td>
<p>
10.101
</p>
</td>
<td>
<p>
6.23441
</p>
</td>
<td>
<p>
11.5741
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_on_sphere
</p>
</td>
<td>
<p>
2.22222
</p>
</td>
<td>
<p>
2.78552
</p>
</td>
<td>
<p>
2.28311
</p>
</td>
<td>
<p>
2.7933
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break"><div class="table">
<a name="boost_random.performance.distributions__windows_"></a><p class="title"><b>Table 34.17. Distributions (Windows)</b></p>
<div class="table-contents"><table class="table" summary="Distributions (Windows)">
<colgroup>
<col>
<col>
<col>
<col>
<col>
</colgroup>
<thead><tr>
<th>
<p>
[M rn/sec]
</p>
</th>
<th>
<p>
minstd_rand
</p>
</th>
<th>
<p>
kreutzer1986
</p>
</th>
<th>
<p>
mt19937
</p>
</th>
<th>
<p>
lagged_fibonacci607
</p>
</th>
</tr></thead>
<tbody>
<tr>
<td>
<p>
uniform_int
</p>
</td>
<td>
<p>
27.049
</p>
</td>
<td>
<p>
79.1139
</p>
</td>
<td>
<p>
29.8151
</p>
</td>
<td>
<p>
34.8432
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_smallint
</p>
</td>
<td>
<p>
31.736
</p>
</td>
<td>
<p>
90.3342
</p>
</td>
<td>
<p>
33.9213
</p>
</td>
<td>
<p>
59.9161
</p>
</td>
</tr>
<tr>
<td>
<p>
bernoulli
</p>
</td>
<td>
<p>
25.641
</p>
</td>
<td>
<p>
56.2114
</p>
</td>
<td>
<p>
27.049
</p>
</td>
<td>
<p>
62.8141
</p>
</td>
</tr>
<tr>
<td>
<p>
geometric
</p>
</td>
<td>
<p>
12.8717
</p>
</td>
<td>
<p>
18.9645
</p>
</td>
<td>
<p>
14.6671
</p>
</td>
<td>
<p>
18.5805
</p>
</td>
</tr>
<tr>
<td>
<p>
binomial
</p>
</td>
<td>
<p>
18.2116
</p>
</td>
<td>
<p>
32.2165
</p>
</td>
<td>
<p>
19.8491
</p>
</td>
<td>
<p>
29.4118
</p>
</td>
</tr>
<tr>
<td>
<p>
negative_binomial
</p>
</td>
<td>
<p>
2.79065
</p>
</td>
<td>
<p>
3.99138
</p>
</td>
<td>
<p>
2.73358
</p>
</td>
<td>
<p>
3.72898
</p>
</td>
</tr>
<tr>
<td>
<p>
poisson
</p>
</td>
<td>
<p>
20.0321
</p>
</td>
<td>
<p>
37.7074
</p>
</td>
<td>
<p>
18.9645
</p>
</td>
<td>
<p>
36.4299
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_real
</p>
</td>
<td>
<p>
27.6319
</p>
</td>
<td>
<p>
78.1861
</p>
</td>
<td>
<p>
26.4901
</p>
</td>
<td>
<p>
71.2251
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_01
</p>
</td>
<td>
<p>
36.63
</p>
</td>
<td>
<p>
95.6938
</p>
</td>
<td>
<p>
26.3783
</p>
</td>
<td>
<p>
85.4701
</p>
</td>
</tr>
<tr>
<td>
<p>
triangle
</p>
</td>
<td>
<p>
19.4856
</p>
</td>
<td>
<p>
43.8982
</p>
</td>
<td>
<p>
19.425
</p>
</td>
<td>
<p>
36.8324
</p>
</td>
</tr>
<tr>
<td>
<p>
exponential
</p>
</td>
<td>
<p>
17.0474
</p>
</td>
<td>
<p>
32.0513
</p>
</td>
<td>
<p>
18.005
</p>
</td>
<td>
<p>
28.6205
</p>
</td>
</tr>
<tr>
<td>
<p>
normal polar
</p>
</td>
<td>
<p>
14.4051
</p>
</td>
<td>
<p>
19.7863
</p>
</td>
<td>
<p>
13.1354
</p>
</td>
<td>
<p>
20.7426
</p>
</td>
</tr>
<tr>
<td>
<p>
lognormal
</p>
</td>
<td>
<p>
10.8472
</p>
</td>
<td>
<p>
13.6968
</p>
</td>
<td>
<p>
10.3563
</p>
</td>
<td>
<p>
13.7855
</p>
</td>
</tr>
<tr>
<td>
<p>
chi squared
</p>
</td>
<td>
<p>
3.53957
</p>
</td>
<td>
<p>
4.95
</p>
</td>
<td>
<p>
3.44448
</p>
</td>
<td>
<p>
4.83442
</p>
</td>
</tr>
<tr>
<td>
<p>
cauchy
</p>
</td>
<td>
<p>
15.1906
</p>
</td>
<td>
<p>
23.5682
</p>
</td>
<td>
<p>
14.9768
</p>
</td>
<td>
<p>
23.31
</p>
</td>
</tr>
<tr>
<td>
<p>
fisher f
</p>
</td>
<td>
<p>
1.74951
</p>
</td>
<td>
<p>
2.45417
</p>
</td>
<td>
<p>
1.69854
</p>
</td>
<td>
<p>
2.38743
</p>
</td>
</tr>
<tr>
<td>
<p>
student t
</p>
</td>
<td>
<p>
2.63151
</p>
</td>
<td>
<p>
3.75291
</p>
</td>
<td>
<p>
2.53872
</p>
</td>
<td>
<p>
3.51432
</p>
</td>
</tr>
<tr>
<td>
<p>
gamma
</p>
</td>
<td>
<p>
3.50275
</p>
</td>
<td>
<p>
4.9729
</p>
</td>
<td>
<p>
3.35087
</p>
</td>
<td>
<p>
4.75195
</p>
</td>
</tr>
<tr>
<td>
<p>
weibull
</p>
</td>
<td>
<p>
8.96539
</p>
</td>
<td>
<p>
11.9161
</p>
</td>
<td>
<p>
9.09256
</p>
</td>
<td>
<p>
11.6754
</p>
</td>
</tr>
<tr>
<td>
<p>
extreme value
</p>
</td>
<td>
<p>
12.3274
</p>
</td>
<td>
<p>
18.4196
</p>
</td>
<td>
<p>
12.5945
</p>
</td>
<td>
<p>
17.5623
</p>
</td>
</tr>
<tr>
<td>
<p>
uniform_on_sphere
</p>
</td>
<td>
<p>
2.83688
</p>
</td>
<td>
<p>
3.58038
</p>
</td>
<td>
<p>
2.73898
</p>
</td>
<td>
<p>
3.60101
</p>
</td>
</tr>
</tbody>
</table></div>
</div>
<br class="table-break">
</div>
<table xmlns:rev="http://www.cs.rpi.edu/~gregod/boost/tools/doc/revision" width="100%"><tr>
<td align="left"></td>
<td align="right"><div class="copyright-footer">Copyright © 2000-2005 Jens Maurer<br>Copyright © 2009, 2010 Steven Watanabe<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
file LICENSE_1_0.txt or copy at <a href="http://www.boost.org/LICENSE_1_0.txt" target="_top">http://www.boost.org/LICENSE_1_0.txt</a>)
</p>
</div></td>
</tr></table>
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