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Results 1 - 10 of 20 for coshSC (0.17 sec)
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src/math/arith_s390x_test.go
t.Skipf("no vector support") } for i := 0; i < len(vf); i++ { if f := CoshNoVec(vf[i]); !close(cosh[i], f) { t.Errorf("Cosh(%g) = %g, want %g", vf[i], f, cosh[i]) } } for i := 0; i < len(vfcoshSC); i++ { if f := CoshNoVec(vfcoshSC[i]); !alike(coshSC[i], f) { t.Errorf("Cosh(%g) = %g, want %g", vfcoshSC[i], f, coshSC[i]) } } } func TestSinNovec(t *testing.T) { if !HasVX { t.Skipf("no vector support")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 08 19:52:30 UTC 2017 - 10.8K bytes - Viewed (0) -
src/math/cosh_s390x.s
// Minimax polynomial approximations DATA coshe2<>+0(SB)/8, $0.500000000000004237e+00 GLOBL coshe2<>+0(SB), RODATA, $8 DATA coshe3<>+0(SB)/8, $0.166666666630345592e+00 GLOBL coshe3<>+0(SB), RODATA, $8 DATA coshe4<>+0(SB)/8, $0.416666664838056960e-01 GLOBL coshe4<>+0(SB), RODATA, $8 DATA coshe5<>+0(SB)/8, $0.833349307718286047e-02 GLOBL coshe5<>+0(SB), RODATA, $8 DATA coshe6<>+0(SB)/8, $0.138926439368309441e-02
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 16 15:34:41 UTC 2019 - 5.6K bytes - Viewed (0) -
src/math/cmplx/cmath_test.go
} } } func TestCosh(t *testing.T) { for i := 0; i < len(vc); i++ { if f := Cosh(vc[i]); !cSoclose(cosh[i], f, 2e-15) { t.Errorf("Cosh(%g) = %g, want %g", vc[i], f, cosh[i]) } } for _, v := range coshSC { if f := Cosh(v.in); !cAlike(v.want, f) { t.Errorf("Cosh(%g) = %g, want %g", v.in, f, v.want) } if math.IsNaN(imag(v.in)) || math.IsNaN(imag(v.want)) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 01 03:16:37 UTC 2020 - 48.1K bytes - Viewed (0) -
src/math/all_test.go
} } func TestCosh(t *testing.T) { for i := 0; i < len(vf); i++ { if f := Cosh(vf[i]); !close(cosh[i], f) { t.Errorf("Cosh(%g) = %g, want %g", vf[i], f, cosh[i]) } } for i := 0; i < len(vfcoshSC); i++ { if f := Cosh(vfcoshSC[i]); !alike(coshSC[i], f) { t.Errorf("Cosh(%g) = %g, want %g", vfcoshSC[i], f, coshSC[i]) } } } func TestErf(t *testing.T) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jul 07 17:39:26 UTC 2023 - 86.8K bytes - Viewed (0) -
src/math/sinh.go
} if sign { temp = -temp } return temp } // Cosh returns the hyperbolic cosine of x. // // Special cases are: // // Cosh(±0) = 1 // Cosh(±Inf) = +Inf // Cosh(NaN) = NaN func Cosh(x float64) float64 { if haveArchCosh { return archCosh(x) } return cosh(x) } func cosh(x float64) float64 { x = Abs(x) if x > 21 { return Exp(x) * 0.5 } ex := Exp(x)
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 1.7K bytes - Viewed (0) -
src/math/cmplx/sin.go
// Complex hyperbolic cosine // // DESCRIPTION: // // ccosh(z) = cosh x cos y + i sinh x sin y . // // ACCURACY: // // Relative error: // arithmetic domain # trials peak rms // IEEE -10,+10 30000 2.9e-16 8.1e-17 // Cosh returns the hyperbolic cosine of x. func Cosh(x complex128) complex128 { switch re, im := real(x), imag(x); {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Nov 18 17:59:44 UTC 2022 - 4.8K bytes - Viewed (0) -
src/math/cmplx/tan.go
case re == 0 && math.IsNaN(im): return x } d := math.Cos(2*real(x)) + math.Cosh(2*imag(x)) if math.Abs(d) < 0.25 { d = tanSeries(x) } if d == 0 { return Inf() } return complex(math.Sin(2*real(x))/d, math.Sinh(2*imag(x))/d) } // Complex hyperbolic tangent // // DESCRIPTION: // // tanh z = (sinh 2x + i sin 2y) / (cosh 2x + cos 2y) . // // ACCURACY: // // Relative error:
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 01 03:16:37 UTC 2020 - 8.5K bytes - Viewed (0) -
src/math/export_s390x_test.go
// license that can be found in the LICENSE file. package math // Export internal functions and variable for testing. var Log10NoVec = log10 var CosNoVec = cos var CoshNoVec = cosh var SinNoVec = sin var SinhNoVec = sinh var TanhNoVec = tanh var Log1pNovec = log1p var AtanhNovec = atanh var AcosNovec = acos var AcoshNovec = acosh var AsinNovec = asin var AsinhNovec = asinh
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 08 19:52:30 UTC 2017 - 732 bytes - Viewed (0) -
src/math/tanh.go
// MINLOG = -8.872283911167299960540e+01 = log(2**-128) // // A rational function is used for |x| < 0.625. The form // x + x**3 P(x)/Q(x) of Cody & Waite is employed. // Otherwise, // tanh(x) = sinh(x)/cosh(x) = 1 - 2/(exp(2x) + 1). // // ACCURACY: // // Relative error: // arithmetic domain # trials peak rms // IEEE -2,2 30000 2.5e-16 5.8e-17 //
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Apr 11 16:34:30 UTC 2022 - 2.7K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad_test.cc
} TEST_F(CWiseUnaryGradTest, Cosh) { auto x_fn = [this](const int i) { return RV({0, -1, 1, -2, 2, -3, 3}); }; TestCWiseGrad<float, float>(COSH, x_fn); } TEST_F(CWiseUnaryGradTest, Cosh_Complex) { auto x_fn = [this](const int i) { return CRV({{0.5, 0.25}, {0.25, 0.5}, {1.5, -1}, {1, 1.5}}); }; TestCWiseGrad<complex64, complex64>(COSH, x_fn); } TEST_F(CWiseUnaryGradTest, Tanh) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 36K bytes - Viewed (0)