| /frameworks/av/media/libcpustats/ |
| CentralTendencyStatistics.cpp | 70 double CentralTendencyStatistics::stddev() const function in class:CentralTendencyStatistics
72 double stddev; local
74 stddev = sqrt(variance());
75 mStddev = stddev;
78 stddev = mStddev;
80 return stddev;
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| /external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
| ctor_double_double.pass.cpp | 15 // explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
26 assert(d.stddev() == 1);
32 assert(d.stddev() == 1);
38 assert(d.stddev() == 5.25);
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| param_ctor.pass.cpp | 28 assert(p.stddev() == 1);
35 assert(p.stddev() == 1);
42 assert(p.stddev() == 5);
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| ctor_param.pass.cpp | 28 assert(d.stddev() == 10);
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| param_assign.pass.cpp | 30 assert(p.stddev() == 6);
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| param_copy.pass.cpp | 29 assert(p.stddev() == .125);
|
| /prebuilts/ndk/r11/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
| ctor_double_double.pass.cpp | 15 // explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
26 assert(d.stddev() == 1);
32 assert(d.stddev() == 1);
38 assert(d.stddev() == 5.25);
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| param_ctor.pass.cpp | 28 assert(p.stddev() == 1);
35 assert(p.stddev() == 1);
42 assert(p.stddev() == 5);
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| ctor_param.pass.cpp | 28 assert(d.stddev() == 10);
|
| param_assign.pass.cpp | 30 assert(p.stddev() == 6);
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| param_copy.pass.cpp | 29 assert(p.stddev() == .125);
|
| /prebuilts/ndk/r13/sources/cxx-stl/llvm-libc++/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
| ctor_double_double.pass.cpp | 15 // explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
26 assert(d.stddev() == 1);
32 assert(d.stddev() == 1);
38 assert(d.stddev() == 5.25);
|
| param_ctor.pass.cpp | 28 assert(p.stddev() == 1);
35 assert(p.stddev() == 1);
42 assert(p.stddev() == 5);
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| ctor_param.pass.cpp | 28 assert(d.stddev() == 10);
|
| param_assign.pass.cpp | 30 assert(p.stddev() == 6);
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| param_copy.pass.cpp | 29 assert(p.stddev() == .125);
|
| /external/fio/lib/ |
| gauss.c | 14 if (!gs->stddev)
18 vr = gs->stddev * (r / (FRAND32_MAX + 1.0));
20 return vr - gs->stddev / 2;
33 if (gs->stddev) {
55 gs->stddev = ceil((double) (nranges * 100.0) / dev);
56 if (gs->stddev > nranges / 2)
57 gs->stddev = nranges / 2;
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| gauss.h | 10 unsigned int stddev; member in struct:gauss_state
|
| /cts/common/util/tests/src/com/android/compatibility/common/util/ |
| StatTest.java | 72 double stddev = Stat.getStat(values).mStddev; local
73 assertEquals(Math.sqrt(2.5), stddev, 0.00001);
76 stddev = Stat.getStat(values).mStddev;
77 assertEquals(Math.sqrt(2.5), stddev, 0.00001);
80 stddev = Stat.getStat(values).mStddev;
81 assertEquals(Math.sqrt(10.0), stddev, 0.00001);
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| /libcore/support/src/test/java/tests/util/ |
| SummaryStatistics.java | 63 public double stddev() { method in class:SummaryStatistics
69 return stddev() / mean();
80 sb.append(",stddev=");
81 sb.append(stddev()); method
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| /frameworks/av/media/libcpustats/include/cpustats/ |
| CentralTendencyStatistics.h | 49 double stddev() const;
|
| /cts/common/util/src/com/android/compatibility/common/util/ |
| Stat.java | 31 * Collection of statistical propertirs like average, max, min, and stddev
39 public StatResult(double average, double min, double max, double stddev, int dataCount) {
43 mStddev = stddev;
49 * Calculate statistics properties likes average, min, max, and stddev for the given array
71 double stddev = Math.sqrt(variance); local
72 return new StatResult(average, min, max, stddev, data.length);
76 * Calculate statistics properties likes average, min, max, and stddev for the given array
|
| /prebuilts/go/darwin-x86/src/math/rand/ |
| rand_test.go | 26 stddev float64
48 // checkSimilarDistribution returns success if the mean and stddev of the
56 if !nearEqual(this.stddev, expected.stddev, 0, expected.maxError) {
57 s := fmt.Sprintf("stddev %v != %v (allowed error %v, %v)", this.stddev, expected.stddev, expected.closeEnough, expected.maxError)
72 res.stddev = math.Sqrt(squaresum/float64(len(samples)) - res.mean*res.mean)
102 func generateNormalSamples(nsamples int, mean, stddev float64, seed int64) []float64 {
106 samples[i] = r.NormFloat64()*stddev + mea
[all...] |
| /prebuilts/go/linux-x86/src/math/rand/ |
| rand_test.go | 26 stddev float64
48 // checkSimilarDistribution returns success if the mean and stddev of the
56 if !nearEqual(this.stddev, expected.stddev, 0, expected.maxError) {
57 s := fmt.Sprintf("stddev %v != %v (allowed error %v, %v)", this.stddev, expected.stddev, expected.closeEnough, expected.maxError)
72 res.stddev = math.Sqrt(squaresum/float64(len(samples)) - res.mean*res.mean)
102 func generateNormalSamples(nsamples int, mean, stddev float64, seed int64) []float64 {
106 samples[i] = r.NormFloat64()*stddev + mea
[all...] |
| /external/fio/tools/plot/samples/ |
| Makefile | 17 rm -rf *.average *.stddev *.min *.max *.global
|
