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Results 1 - 7 of 7 for acosh (0.04 sec)

  1. src/math/acosh.go

    // Method :
    //	Based on
    //	        acosh(x) = log [ x + sqrt(x*x-1) ]
    //	we have
    //	        acosh(x) := log(x)+ln2,	if x is large; else
    //	        acosh(x) := log(2x-1/(sqrt(x*x-1)+x)) if x>2; else
    //	        acosh(x) := log1p(t+sqrt(2.0*t+t*t)); where t=x-1.
    //
    // Special cases:
    //	acosh(x) is NaN with signal if x<1.
    //	acosh(NaN) is NaN without signal.
    //
    
    // Acosh returns the inverse hyperbolic cosine of x.
    //
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Apr 11 16:34:30 UTC 2022
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  2. src/math/example_test.go

    // license that can be found in the LICENSE file.
    
    package math_test
    
    import (
    	"fmt"
    	"math"
    )
    
    func ExampleAcos() {
    	fmt.Printf("%.2f", math.Acos(1))
    	// Output: 0.00
    }
    
    func ExampleAcosh() {
    	fmt.Printf("%.2f", math.Acosh(1))
    	// Output: 0.00
    }
    
    func ExampleAsin() {
    	fmt.Printf("%.2f", math.Asin(0))
    	// Output: 0.00
    }
    
    func ExampleAsinh() {
    	fmt.Printf("%.2f", math.Asinh(0))
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Oct 07 18:09:53 UTC 2021
    - 3.7K bytes
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  3. 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
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  4. 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
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  5. src/math/asin.go

    		temp = satan(x / temp)
    	}
    
    	if sign {
    		temp = -temp
    	}
    	return temp
    }
    
    // Acos returns the arccosine, in radians, of x.
    //
    // Special case is:
    //
    //	Acos(x) = NaN if x < -1 or x > 1
    func Acos(x float64) float64 {
    	if haveArchAcos {
    		return archAcos(x)
    	}
    	return acos(x)
    }
    
    func acos(x float64) float64 {
    	return Pi/2 - Asin(x)
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Mon Apr 11 16:34:30 UTC 2022
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  6. tensorflow/compiler/mlir/tf2xla/internal/legalize_tf_to_hlo_test.cc

    static constexpr char kMlirModuleStr[] = R"(
      module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
      func.func @main(%arg0 : tensor<1xf32>) -> tensor<1xf32> {
        %0 = "tf.Acos"(%arg0) : (tensor<1xf32>) -> tensor<1xf32>
       func.return %0 : tensor<1xf32>
      }
    })";
    
    static constexpr char kBadMlirModuleStr[] = R"(
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Sun Apr 14 20:29:34 UTC 2024
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  7. 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
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