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  /ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.poisson/
ctor_double.pass.cpp 25 assert(d.mean() == 1);
30 assert(d.mean() == 3.5);
param_ctor.pass.cpp 27 assert(p.mean() == 1);
33 assert(p.mean() == 10);
ctor_param.pass.cpp 27 assert(d.mean() == 0.25);
param_assign.pass.cpp 29 assert(p.mean() == .7);
param_copy.pass.cpp 28 assert(p.mean() == .125);
eval.pass.cpp 45 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
51 double d = (u[i] - mean);
62 double x_mean = d.mean();
63 double x_var = d.mean();
66 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
84 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
90 double d = (u[i] - mean);
101 double x_mean = d.mean();
102 double x_var = d.mean();
105 assert(std::abs((mean - x_mean) / x_mean) < 0.01)
123 double mean = std::accumulate(u.begin(), u.end(), 0.0) \/ u.size(); local
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eval_param.pass.cpp 47 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
53 double d = (u[i] - mean);
64 double x_mean = p.mean();
65 double x_var = p.mean();
68 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
88 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
94 double d = (u[i] - mean);
105 double x_mean = p.mean();
106 double x_var = p.mean();
109 assert(std::abs((mean - x_mean) / x_mean) < 0.01)
129 double mean = std::accumulate(u.begin(), u.end(), 0.0) \/ u.size(); local
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  /ndk/sources/cxx-stl/llvm-libc++/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);
25 assert(d.mean() == 0);
31 assert(d.mean() == 14.5);
37 assert(d.mean() == 14.5);
param_ctor.pass.cpp 27 assert(p.mean() == 0);
34 assert(p.mean() == 10);
41 assert(p.mean() == 10);
ctor_param.pass.cpp 27 assert(d.mean() == 0.25);
eval.pass.cpp 42 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
48 double d = (u[i] - mean);
59 double x_mean = d.mean();
63 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
eval_param.pass.cpp 43 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
49 double d = (u[i] - mean);
60 double x_mean = p.mean();
64 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
param_assign.pass.cpp 29 assert(p.mean() == .75);
param_copy.pass.cpp 28 assert(p.mean() == 10);
  /external/webrtc/src/common_audio/vad/
vad_gmm.h 19 // normal distribution with mean and standard deviation (|mean|, |std|).
23 // - mean : mean input in the statistical model, Q7.
29 // |delta| = (|input| - |mean|) / |std|^2.
33 // 1 / |std| * exp(-(|input| - |mean|)^2 / (2 * |std|^2));
35 int16_t mean,
vad_gmm.c 25 // m = |mean| (Q7)
31 int16_t mean,
52 tmp16 = tmp16 - mean; // Q7 - Q7 = Q7
  /external/valgrind/main/VEX/test/
rounderr.c 43 /* Compute the arithmetic mean of a dataset using the recurrence relation
44 mean_(n) = mean(n-1) + (data[n] - mean(n-1))/(n+1) */
45 long double mean = 0; local
50 mean += (data[i * stride] - mean) / (i + 1);
52 return mean;
58 /* Compute the arithmetic mean of a dataset using the
  /external/opencv/cv/src/
cvadapthresh.cpp 48 CvMat* mean = 0; local
70 mean = dst;
72 CV_CALL( mean = cvCreateMat( rows, cols, CV_8UC1 ));
74 CV_CALL( cvSmooth( src, mean, method == CV_ADAPTIVE_THRESH_MEAN_C ?
89 const uchar* m = mean->data.ptr + i*mean->step;
98 if( mean != dst )
99 cvReleaseMat( &mean );
  /external/eigen/Eigen/src/Eigen2Support/
LeastSquares.h 121 * 1 - center the data to the mean
142 // compute the mean of the data
143 VectorType mean = VectorType::Zero(size); local
145 mean += *(points[i]);
146 mean /= numPoints;
153 VectorType diff = (*(points[i]) - mean).conjugate();
164 // plane pass trough the mean point:
165 result->offset() = - (result->normal().cwise()* mean).sum();
  /external/opencv/cxcore/src/
cxmean.cpp 46 * Mean value over the region *
165 mean[0] = scale*(double)tmp##0
171 mean[0] = t0; \
172 mean[1] = t1
179 mean[0] = t0; \
180 mean[1] = t1; \
181 mean[2] = t2
187 mean[0] = t0; \
188 mean[1] = t1; \
191 mean[2] = t0;
384 CvScalar mean = {{0,0,0,0}}; local
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  /external/eigen/doc/examples/
tut_arithmetic_redux_basic.cpp 12 cout << "Here is mat.mean(): " << mat.mean() << endl;
  /ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/
eval.pass.cpp 45 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
51 double d = (u[i] - mean);
66 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
84 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
90 double d = (u[i] - mean);
105 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
123 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
129 double d = (u[i] - mean);
144 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
162 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size() local
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eval_param.pass.cpp 46 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
52 double d = (u[i] - mean);
67 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
86 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
92 double d = (u[i] - mean);
107 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
126 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size(); local
132 double d = (u[i] - mean);
147 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
166 double mean = std::accumulate(u.begin(), u.end(), 0.0) / u.size() local
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  /ndk/sources/cxx-stl/llvm-libc++/test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bin/
eval.pass.cpp 45 double mean = std::accumulate(u.begin(), u.end(), local
52 double d = (u[i] - mean);
67 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
85 double mean = std::accumulate(u.begin(), u.end(), local
92 double d = (u[i] - mean);
107 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
125 double mean = std::accumulate(u.begin(), u.end(), local
132 double d = (u[i] - mean);
147 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
165 double mean = std::accumulate(u.begin(), u.end() local
203 double mean = std::accumulate(u.begin(), u.end(), local
241 double mean = std::accumulate(u.begin(), u.end(), local
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  /external/opencv/ml/src/
mltestset.cpp 65 CvMat* mean = NULL; local
107 CV_CALL( mean = cvCreateMat( 1, num_features, CV_32FC1 ) );
108 CV_CALL( cvSetZero( mean ) );
114 CV_CALL( cvRandMVNormal( mean, cov, *samples ) );
165 cvReleaseMat( &mean );

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