Average Error: 0.0 → 0.0
Time: 1.4s
Precision: binary64
\[\frac{2}{e^{x} + e^{-x}} \]
↓
\[\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{1}{\cosh x}\right)\right) \]
\frac{2}{e^{x} + e^{-x}}
↓
\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{1}{\cosh x}\right)\right)

(FPCore (x) :precision binary64 (/ 2.0 (+ (exp x) (exp (- x)))))
↓
(FPCore (x) :precision binary64 (log1p (expm1 (/ 1.0 (cosh x)))))
double code(double x) {
	return 2.0 / (exp(x) + exp(-x));
}
↓
double code(double x) {
	return log1p(expm1(1.0 / cosh(x)));
}

Error

Bits error versus x

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Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 0.0

    \[\frac{2}{e^{x} + e^{-x}} \]

  2. Applied cosh-undef_binary640.0

    \[\leadsto \frac{2}{\color{blue}{2 \cdot \cosh x}} \]

  3. Applied add-sqr-sqrt_binary640.5

    \[\leadsto \frac{\color{blue}{\sqrt{2} \cdot \sqrt{2}}}{2 \cdot \cosh x} \]

  4. Applied times-frac_binary640.5

    \[\leadsto \color{blue}{\frac{\sqrt{2}}{2} \cdot \frac{\sqrt{2}}{\cosh x}} \]

  5. Applied log1p-expm1-u_binary640.5

    \[\leadsto \color{blue}{\mathsf{log1p}\left(\mathsf{expm1}\left(\frac{\sqrt{2}}{2} \cdot \frac{\sqrt{2}}{\cosh x}\right)\right)} \]

  6. Simplified0.0

    \[\leadsto \mathsf{log1p}\left(\color{blue}{\mathsf{expm1}\left(\frac{1}{\cosh x}\right)}\right) \]

  7. Final simplification0.0

    \[\leadsto \mathsf{log1p}\left(\mathsf{expm1}\left(\frac{1}{\cosh x}\right)\right) \]

Reproduce

herbie shell --seed 2021332 
(FPCore (x)
  :name "Hyperbolic secant"
  :precision binary64
  (/ 2.0 (+ (exp x) (exp (- x)))))