| /external/tensorflow/tensorflow/core/kernels/ |
| cwise_op_gpu_sinh.cu.cc | 22 DEFINE_UNARY2(sinh, float, double);
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| cwise_op_sinh.cc | 19 REGISTER4(UnaryOp, CPU, "Sinh", functor::sinh, float, double, complex64,
25 Name("Sinh").Device(DEVICE_SYCL).TypeConstraint<TYPE>("T"), \
26 UnaryOp<SYCLDevice, functor::sinh<TYPE>>);
33 REGISTER2(UnaryOp, GPU, "Sinh", functor::sinh, float, double);
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| /external/eigen/doc/snippets/ |
| Cwise_sinh.cpp | 2 cout << sinh(v) << endl;
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| /cts/tests/tests/renderscript/src/android/renderscript/cts/generated/ |
| TestSinh.rs | 24 return sinh(inV);
28 return sinh(inV);
32 return sinh(inV);
36 return sinh(inV);
40 return sinh(inV);
44 return sinh(inV);
48 return sinh(inV);
52 return sinh(inV);
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| /external/ltp/testcases/misc/math/float/ |
| float_iperb.c | 31 {FUNC_NORMAL, 50, sinh, "sinh", "dsinh", "rsinh",
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| /device/linaro/bootloader/edk2/StdLib/LibC/Math/ |
| w_sinh.c | 19 * wrapper sinh(x)
26 sinh(double x) /* wrapper sinh */
function
35 return __kernel_standard(x,x,25); /* sinh overflow */
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| StemFunction.h | 80 using std::sinh;
88 res = std::sinh(x);
99 using std::sinh;
104 res = std::sinh(x);
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| /external/ltp/testcases/misc/math/float/iperb/ |
| Makefile | 27 CLEAN_TARGETS := [rd]*sin [rd]sinh [rd]*cos [rd]cosh [rd]*tan [rd]*tan2 \
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| gensinh.c | 52 tabR[i] = sinh(Inc * (i - nbVal / 2));
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| /external/ltp/testcases/misc/math/float/trigo/ |
| Makefile | 27 CLEAN_TARGETS := [rd]*sin [rd]sinh [rd]*cos [rd]cosh [rd]*tan [rd]*tan2 \
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| /external/eigen/unsupported/doc/examples/ |
| MatrixSinh.cpp | 11 MatrixXf sinhA = A.sinh();
12 std::cout << "sinh(A) = \n" << sinhA << "\n\n";
17 // The matrix functions satisfy cosh^2(A) - sinh^2(A) = I,
19 std::cout << "cosh^2(A) - sinh^2(A) = \n" << coshA*coshA - sinhA*sinhA << "\n\n";
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| /external/eigen/unsupported/test/ |
| autodiff_scalar.cpp | 41 using std::sinh;
54 AD res2 = sinh(val);
55 VERIFY_IS_APPROX(res2.value(), std::sinh(p.x()));
60 VERIFY_IS_APPROX(res3.derivatives().x(), std::sinh(p.x()));
68 res2 = sinh(val);
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| /art/test/708-jit-cache-churn/src/ |
| JitCacheChurnTest.java | 179 d *= Math.max(Math.sin(d), Math.sinh(d));
180 d *= Math.max(1.33, 0.17 * Math.sinh(d));
181 d *= Math.max(1.34, 0.21 * Math.sinh(d));
182 d *= Math.max(1.35, 0.32 * Math.sinh(d));
183 d *= Math.max(1.36, 0.41 * Math.sinh(d));
184 d *= Math.max(1.37, 0.57 * Math.sinh(d));
185 d *= Math.max(1.38, 0.61 * Math.sinh(d));
186 d *= Math.max(1.39, 0.79 * Math.sinh(d));
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| /bionic/libm/upstream-freebsd/lib/msun/src/ |
| e_sinh.c | 19 * mathematically sinh(x) if defined to be (exp(x)-exp(-x))/2
20 * 1. Replace x by |x| (sinh(-x) = -sinh(x)).
23 * 0 <= x <= 22 : sinh(x) := --------------, E=expm1(x)
26 * 22 <= x <= lnovft : sinh(x) := exp(x)/2
27 * lnovft <= x <= ln2ovft: sinh(x) := exp(x/2)/2 * exp(x/2)
28 * ln2ovft < x : sinh(x) := x*shuge (overflow)
31 * sinh(x) is |x| if x is +INF, -INF, or NaN.
32 * only sinh(0)=0 is exact for finite x.
60 if(shuge+x>one) return x;/* sinh(tiny) = tiny with inexact *
[all...] |
| s_csinh.c | 32 * sinh(z) = sinh(x+iy)
33 * = sinh(x) cos(y) + i cosh(x) sin(y).
38 * must satisfy both sinh(conj(z)) == conj(sinh(z)) and sinh(-z) == -sinh(z).
69 return (CMPLX(sinh(x), y));
71 return (CMPLX(sinh(x) * cos(y), cosh(x) * sin(y)));
90 * sinh(+-0 +- I Inf) = +-0 + I dNaN
[all...] |
| s_ctanh.c | 42 * s = sinh(x)
47 * tanh(z) = sinh(z) / cosh(z)
49 * sinh(x) cos(y) + I cosh(x) sin(y)
51 * cosh(x) cos(y) + I sinh(x) sin(y)
53 * cosh(x) sinh(x) / cos^2(y) + I tan(y)
55 * 1 + sinh^2(x) / cos^2(y)
122 * approximation sinh^2(huge) ~= exp(2*huge) / 4.
134 s = sinh(x);
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| s_ccosh.c | 33 * = cosh(x) cos(y) + i sinh(x) sin(y).
71 return (CMPLX(cosh(x) * cos(y), sinh(x) * sin(y)));
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| /external/libcxx/test/std/numerics/numarray/valarray.nonmembers/valarray.transcend/ |
| sinh_valarray.pass.cpp | 16 // sinh(const valarray<T>& x);
47 std::valarray<T> v3 = sinh(v1);
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| /external/v8/src/base/ |
| ieee754.h | 73 V8_BASE_EXPORT double sinh(double x);
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/complex/ |
| Complex.java | 527 * <code> cos(a + bi) = cos(a)cosh(b) - sin(a)sinh(b)i</code></pre>
530 * {@link MathUtils#cosh} and {@link MathUtils#sinh}.</p>
552 -FastMath.sin(real) * MathUtils.sinh(imaginary));
561 * <code> cosh(a + bi) = cosh(a)cos(b) + sinh(a)sin(b)i</code></pre>
564 * {@link MathUtils#cosh} and {@link MathUtils#sinh}.</p>
586 MathUtils.sinh(real) * FastMath.sin(imaginary));
693 * <code> sin(a + bi) = sin(a)cosh(b) - cos(a)sinh(b)i</code></pre>
696 * {@link MathUtils#cosh} and {@link MathUtils#sinh}.</p>
718 FastMath.cos(real) * MathUtils.sinh(imaginary));
727 * <code> sinh(a + bi) = sinh(a)cos(b)) + cosh(a)sin(b)i</code></pre
746 public Complex sinh() { method in class:Complex
[all...] |
| /external/libcxx/test/std/numerics/complex.number/complex.transcendentals/ |
| sin.pass.cpp | 42 std::complex<double> t2 = sinh(t1);
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/ |
| sinh_arcsinh.py | 68 """Compute `Y = g(X) = Sinh( (Arcsinh(X) + skewness) * tailweight )`.
73 `X = g^{-1}(Y) = Sinh( ArcSinh(Y) / tailweight - skewness )`.
76 [Sinh-arcsinh distributions](https://www.jstor.org/stable/27798865)
148 """The `skewness` in: `Y = Sinh((Arcsinh(X) + skewness) * tailweight)`."""
153 """The `tailweight` in: `Y = Sinh((Arcsinh(X) + skewness) * tailweight)`."""
157 return math_ops.sinh((math_ops.asinh(x) + self.skewness) * self.tailweight)
160 return math_ops.sinh(math_ops.asinh(y) / self.tailweight - self.skewness)
163 # x = sinh(arcsinh(y) / tailweight - skewness)
164 # Using sinh' = cosh, arcsinh'(y) = 1 / sqrt(y**2 + 1),
180 # y = sinh((arcsinh(x) + skewness) * tailweight
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| /external/clang/lib/Headers/ |
| __clang_cuda_math_forward_declares.h | 173 __DEVICE__ double sinh(double);
174 __DEVICE__ float sinh(float);
253 using ::sinh;
|
| /bionic/libm/x86/ |
| e_sinh.S | 36 // sinh(x)=(exp(x)-exp(-x))/2
55 // For |x| in [1/8, 3*2^7), sinh(x) is formed as
69 // sinh(NaN) = quiet NaN, and raise invalid exception
70 // sinh(+/-INF) = +/-INF
71 // sinh(x) = x for subnormals
72 // for finite argument, only sinh(0)=0 is exact
74 // sinh(x) overflows for x >
95 # -- Begin sinh
96 ENTRY(sinh) function
323 END(sinh)
[all...] |
| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| sinh_arcsinh_bijector_test.py | 45 y = np.sinh((np.arcsinh(x) + skewness) * tailweight)
136 # The inverse will be defined up to where sinh is valid, which is
139 np.sinh(np.arcsinh(np.finfo(dtype).max) / tailweight - skewness))
147 y = np.sinh((np.arcsinh(x) + skewness) * tailweight)
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