| /src/external/bsd/ntp/dist/scripts/stats/ |
| etf.S | 6 mean<-r$coef[[1]]
11 cat("etf1 ", count, ", T ", mean, " ns, R ", slope, " ps/s, std ", std, " us\n", file=file2, append=TRUE, fill=FALSE, sep="")
|
| /src/external/gpl3/gcc.old/dist/contrib/ |
| compare_two_ftime_report_sets | 321 away from the mean that the degree should handle.
336 """ An accumulator for statistical information using arithmetic mean. """
340 self.mean = 0
345 diff = value - self.mean
346 self.mean += diff / self.count
368 """ A description of a sample using an arithmetic mean. """
374 self.mean = accumulator.mean
389 text += ", mean is " + text_number(self.mean)
[all...] |
| /src/external/gpl3/gcc/dist/contrib/ |
| compare_two_ftime_report_sets | 321 away from the mean that the degree should handle.
336 """ An accumulator for statistical information using arithmetic mean. """
340 self.mean = 0
345 diff = value - self.mean
346 self.mean += diff / self.count
368 """ A description of a sample using an arithmetic mean. """
374 self.mean = accumulator.mean
389 text += ", mean is " + text_number(self.mean)
[all...] |
| /src/usr.sbin/traceroute/ |
| Makefile | 36 AWKS= median.awk mean.awk
|
| /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;
[all...] |
| /src/external/bsd/ntp/dist/scripts/monitoring/ |
| lr.pl | 40 ;# mean(tag);
127 sub mean() subroutine
|
| ntploopwatch | 65 ;# largest extension of Y scale from mean value, factor for standart deviation
1116 $m = $lo->mean();
1118 print "mean offset: $m sigma: $i\n" if $verbose > 2;
1161 $m = $lf->mean() + $minfreq;
1163 print "mean frequency: $m sigma: $i\n" if $verbose > 2;
1185 $freqbase -= ($maxy + $miny) / 2; #$lf->mean();
|
| /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)));
|
| complexity.cc | 109 // Normalized RMS by the mean of the observed values
110 double mean = sigma_time / n.size();
111 result.rms = sqrt(rms / n.size()) / mean;
207 // Only add label to mean/stddev if it is same for all runs
|
| /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)));
|
| complexity.cc | 106 // Normalized RMS by the mean of the observed values
107 double mean = sigma_time / n.size();
108 result.rms = sqrt(rms / n.size()) / mean;
201 // Only add label to mean/stddev if it is same for all runs
|
| /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
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/gpl3/gcc.old/dist/libstdc++-v3/config/cpu/i486/opt/bits/ |
| opt_random.h | 63 *__f++ = _M_saved * __param.stddev() + __param.mean();
73 const __m128d __av = _mm_set1_pd(__param.mean());
211 *__f = __y * __mult * __param.stddev() + __param.mean();
|
| /src/external/gpl3/gcc/dist/libstdc++-v3/config/cpu/i486/opt/bits/ |
| opt_random.h | 63 *__f++ = _M_saved * __param.stddev() + __param.mean();
73 const __m128d __av = _mm_set1_pd(__param.mean());
211 *__f = __y * __mult * __param.stddev() + __param.mean();
|
| /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/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/llvm/dist/clang/utils/analyzer/ |
| SATestBenchmark.py | 108 means = old.groupby("project").mean()
|
| /src/external/apache2/llvm/dist/llvm/lib/Support/Windows/ |
| DynamicLibrary.inc | 140 // mean that the msvc.dll versions would be returned.
|
| /src/sys/dev/i2c/ |
| sensirion_voc_algorithm.c | 300 fix16_t mean, fix16_t std,
478 fix16_t mean, fix16_t std,
481 params->m_Mean_Variance_Estimator___Mean = mean;
|
| /src/sys/conf/ |
| copts.mk | 50 # the input must have _at least_ 16 elements, it doesn't mean that the
|
| /src/share/mk/ |
| bsd.lua.mk | 39 # install .lua modules there which would mean slightly less duplication
|
| /src/usr.bin/make/unit-tests/ |
| cond-cmp-string.mk | 36 # This means that "\n" does not mean a newline but a simple "n".
|
| directive-for-empty.mk | 119 # This would mean that the combination of a .for variable and the modifiers
|
| varmod.mk | 99 # to mean a single '$'. This contradicts the manual page, which says that
|
| /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.
|
