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  /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.bernoulli/
eval.pass.cpp 58 double x_mean = d.p(); local
62 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
94 double x_mean = d.p(); local
98 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
eval_param.pass.cpp 60 double x_mean = p.p(); local
64 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
98 double x_mean = p.p(); local
102 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
  /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.t/
eval.pass.cpp 59 double x_mean = 0; local
63 assert(std::abs(mean - x_mean) < 0.01);
95 double x_mean = 0;
99 assert(std::abs(mean - x_mean) < 0.01);
131 double x_mean = 0;
135 assert(std::abs(mean - x_mean) < 0.01);
eval_param.pass.cpp 60 double x_mean = 0; local
64 assert(std::abs(mean - x_mean) < 0.01);
97 double x_mean = 0;
101 assert(std::abs(mean - x_mean) < 0.01);
134 double x_mean = 0;
138 assert(std::abs(mean - x_mean) < 0.01);
  /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.samp/rand.dist.samp.pconst/
eval_param.pass.cpp 84 double x_mean = (b[i+1] + b[i]) / 2;
88 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
  /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.uni/rand.dist.uni.int/
eval_param.pass.cpp 65 double x_mean = ((double)p.a() + p.b()) / 2; local
70 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
  /ndk/sources/cxx-stl/llvm-libc++/libcxx/test/numerics/rand/rand.dis/rand.dist.uni/rand.dist.uni.real/
eval_param.pass.cpp 65 D::result_type x_mean = (p.a() + p.b()) / 2; local
69 assert(std::abs((mean - x_mean) / x_mean) < 0.01);
  /external/eigen/doc/
I13_FunctionsTakingEigenTypes.dox 91 const RowVectorXf x_mean = x.colwise().sum() / num_observations;
93 return (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;
113 const RowVectorXf x_mean = x.colwise().sum() / num_observations;
115 C = (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;
135 const RowVectorType x_mean = x.colwise().sum() / num_observations;
139 (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;
167 const RowVectorType x_mean = x.colwise().sum() / num_observations;
173 C = (x.rowwise() - x_mean).transpose() * (y.rowwise() - y_mean) / num_observations;

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