Average Error: 41.4 → 0.5
Time: 2.6s
Precision: binary64
\[\frac{e^{x}}{e^{x} - 1} \]
\[\frac{1}{\frac{\mathsf{expm1}\left(x\right)}{e^{x}}} \]
\frac{e^{x}}{e^{x} - 1}
\frac{1}{\frac{\mathsf{expm1}\left(x\right)}{e^{x}}}
(FPCore (x) :precision binary64 (/ (exp x) (- (exp x) 1.0)))
(FPCore (x) :precision binary64 (/ 1.0 (/ (expm1 x) (exp x))))
double code(double x) {
	return exp(x) / (exp(x) - 1.0);
}
double code(double x) {
	return 1.0 / (expm1(x) / exp(x));
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original41.4
Target40.9
Herbie0.5
\[\frac{1}{1 - e^{-x}} \]

Derivation

  1. Initial program 41.4

    \[\frac{e^{x}}{e^{x} - 1} \]
  2. Simplified0.5

    \[\leadsto \color{blue}{\frac{e^{x}}{\mathsf{expm1}\left(x\right)}} \]
  3. Using strategy rm
  4. Applied clear-num_binary640.5

    \[\leadsto \color{blue}{\frac{1}{\frac{\mathsf{expm1}\left(x\right)}{e^{x}}}} \]
  5. Final simplification0.5

    \[\leadsto \frac{1}{\frac{\mathsf{expm1}\left(x\right)}{e^{x}}} \]

Reproduce

herbie shell --seed 2021210 
(FPCore (x)
  :name "expq2 (section 3.11)"
  :precision binary64

  :herbie-target
  (/ 1.0 (- 1.0 (exp (- x))))

  (/ (exp x) (- (exp x) 1.0)))