| /src/external/bsd/ntp/dist/scripts/monitoring/ |
| lr.pl | 40 ;# mean(tag);
127 sub mean() subroutine
|
| /src/external/apache2/llvm/dist/libcxx/utils/google-benchmark/src/ |
| statistics.cc | 67 const auto mean = StatisticsMean(v); local
68 if (v.empty()) return mean;
74 return Sqrt(v.size() / (v.size() - 1.0) * (avg_squares - Sqr(mean)));
|
| /src/external/apache2/llvm/dist/llvm/utils/benchmark/src/ |
| statistics.cc | 67 const auto mean = StatisticsMean(v); local
68 if (v.empty()) return mean;
75 return Sqrt(v.size() / (v.size() - 1.0) * (avg_squares - Sqr(mean)));
|
| /src/external/bsd/tre/dist/tests/ |
| bench.c | 67 double mean, tmp1, tmp2, variance, stddev, error, percent; local
70 mean = 0;
72 mean += sample_data[i];
73 mean = mean/i;
74 printf("# mean: %.5f\n", mean);
78 tmp2 = sample_data[i] - mean;
90 if (mean != 0)
91 percent = 100*error/mean;
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| /src/external/mpl/bind/dist/tests/isc/ |
| histo_test.c | 152 double pop, mean, sd; local
161 isc_histo_moments(hg, &pop, &mean, &sd);
163 assert_true(mean == 0.0);
|
| /src/external/gpl3/gcc/dist/libstdc++-v3/include/tr1/ |
| random.h | 1829 * @f$ p(i) = \frac{mean^i}{i!} e^{-mean} @f$ where @f$ mean @f$ is the
1850 * Gets the distribution parameter @p mean.
1853 mean() const
1904 // Hosts either log(mean) or the threshold of the simple method.
2109 * <tr><td>Mean</td><td>@f$ \frac{1}{\lambda} @f$</td></tr>
2197 * e^{- \frac{{x - mean}^ {2}}{2 \sigma ^ {2}} } @f$.
2209 * Constructs a normal distribution with parameters @f$ mean @f$ and
2221 * Gets the mean of the distribution
2224 mean() const function
[all...] |
| /src/external/bsd/jemalloc.old/dist/test/analyze/ |
| rand.c | 13 * (3) expected mean and stddev of the count of random numbers in each
19 * (a) the (given) expected mean and stddev,
35 * towards the last bucket; the expected mean and stddev provided should
102 /* (Recommended) minimal bucket mean. */
130 * Mathematical tricks to guarantee that both mean and stddev are
131 * integers, and that the minimal bucket mean is at least
137 const size_t mean = N_BUCKET * stddev * q; local
138 const size_t n_iter = N_BUCKET * mean;
141 fill(means, N_BUCKET, mean);
222 /* Number of divisions within [0, mean). *
[all...] |
| /src/external/bsd/jemalloc/dist/test/analyze/ |
| rand.c | 13 * (3) expected mean and stddev of the count of random numbers in each
19 * (a) the (given) expected mean and stddev,
35 * towards the last bucket; the expected mean and stddev provided should
102 /* (Recommended) minimal bucket mean. */
130 * Mathematical tricks to guarantee that both mean and stddev are
131 * integers, and that the minimal bucket mean is at least
139 const size_t mean = N_BUCKET * stddev * q; local
140 const size_t n_iter = N_BUCKET * mean;
143 fill(means, N_BUCKET, mean);
224 /* Number of divisions within [0, mean). *
[all...] |
| /src/external/gpl3/gcc/dist/libstdc++-v3/include/bits/ |
| random.h | 2142 mean() const
2169 * Constructs a normal distribution with parameters @f$mean@f$ and
2191 * @brief Returns the mean of the distribution.
2194 mean() const
2195 { return _M_param.mean(); }
4679 mean() const function in struct:poisson_distribution::param_type
4693 // Hosts either log(mean) or the threshold of the simple method.
4727 * @brief Returns the distribution parameter @p mean.
4730 mean() const function in class:poisson_distribution
4731 { return _M_param.mean(); }
[all...] |
| /src/external/gpl3/gcc.old/dist/libstdc++-v3/include/bits/ |
| random.h | 1999 mean() const
2024 * Constructs a normal distribution with parameters @f$mean@f$ and
2046 * @brief Returns the mean of the distribution.
2049 mean() const
2050 { return _M_param.mean(); }
4450 mean() const function in struct:poisson_distribution::param_type
4462 // Hosts either log(mean) or the threshold of the simple method.
4496 * @brief Returns the distribution parameter @p mean.
4499 mean() const function in class:poisson_distribution
4500 { return _M_param.mean(); }
[all...] |
| /src/sys/altq/ |
| altq_jobs.c | 1067 * delay and the mean of the weighted delays. see paper for more
1541 * update_error: returns the difference between the mean weighted
1684 int64_t mean; local
1703 mean = 0;
1712 mean += cl->loss_prod_others
1720 mean /= active_classes;
1737 *cl->current_loss-mean;
1750 * below the mean.
|
| /src/external/mpl/bind/dist/lib/isc/ |
| histo.c | 438 * equation 4 (incremental mean) and equation 44 (incremental variance)
446 double mean = 0.0; local
458 double delta = value - mean;
460 mean += count * delta / pop;
461 sigma += count * delta * (value - mean);
465 SET_IF_NOT_NULL(pm1, mean);
|
| /src/external/apache2/mDNSResponder/dist/Clients/dnssdutil/ |
| dnssdutil.c | 2543 StringOption( 0 , "startLeeway", &gQuerier_StartLeewayMs, "ms", "Start time leeway in milliseconds. Negative values mean infinite leeway.", false ),
15180 #define kGAIPerfTestCaseStatsKey_Mean CFSTR( "mean" )
15187 double mean; member in struct:__anon5926
15193 do { (X)->min = DBL_MAX; (X)->max = DBL_MIN; (X)->mean = 0.0; (X)->stdDev = 0.0; } while( 0 )
15299 stats.mean = sum / (double) count;
15300 firstStats.mean = firstSum / (double) count;
15301 connStats.mean = connSum / (double) count;
15313 diff = stats.mean - (double) result->timeUs;
15316 diff = firstStats.mean - (double) result->firstTimeUs;
15319 diff = connStats.mean - (double) result->connectionTimeUs
[all...] |
