Average Error: 40.3 → 0.3
Time: 3.1s
Precision: binary64
\[\frac{e^{x} - 1}{x}\]
\[\begin{array}{l} \mathbf{if}\;x \leq -0.0013560797573243535:\\ \;\;\;\;\frac{\frac{\log \left(e^{-1} \cdot e^{{\left(e^{x}\right)}^{3}}\right)}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\\ \mathbf{else}:\\ \;\;\;\;1 + x \cdot \left(0.5 + x \cdot \left(0.16666666666666666 + x \cdot 0.041666666666666664\right)\right)\\ \end{array}\]
\frac{e^{x} - 1}{x}
\begin{array}{l}
\mathbf{if}\;x \leq -0.0013560797573243535:\\
\;\;\;\;\frac{\frac{\log \left(e^{-1} \cdot e^{{\left(e^{x}\right)}^{3}}\right)}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\\

\mathbf{else}:\\
\;\;\;\;1 + x \cdot \left(0.5 + x \cdot \left(0.16666666666666666 + x \cdot 0.041666666666666664\right)\right)\\

\end{array}
(FPCore (x) :precision binary64 (/ (- (exp x) 1.0) x))
(FPCore (x)
 :precision binary64
 (if (<= x -0.0013560797573243535)
   (/
    (/
     (log (* (exp -1.0) (exp (pow (exp x) 3.0))))
     (+ (pow (exp x) 2.0) (+ (exp x) 1.0)))
    x)
   (+
    1.0
    (* x (+ 0.5 (* x (+ 0.16666666666666666 (* x 0.041666666666666664))))))))
double code(double x) {
	return (exp(x) - 1.0) / x;
}
double code(double x) {
	double tmp;
	if (x <= -0.0013560797573243535) {
		tmp = (log(exp(-1.0) * exp(pow(exp(x), 3.0))) / (pow(exp(x), 2.0) + (exp(x) + 1.0))) / x;
	} else {
		tmp = 1.0 + (x * (0.5 + (x * (0.16666666666666666 + (x * 0.041666666666666664)))));
	}
	return tmp;
}

Error

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original40.3
Target40.7
Herbie0.3
\[\begin{array}{l} \mathbf{if}\;x < 1 \land x > -1:\\ \;\;\;\;\frac{e^{x} - 1}{\log \left(e^{x}\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{e^{x} - 1}{x}\\ \end{array}\]

Derivation

  1. Split input into 2 regimes
  2. if x < -0.0013560797573243535

    1. Initial program 0.0

      \[\frac{e^{x} - 1}{x}\]
    2. Using strategy rm
    3. Applied flip3--_binary64_17870.0

      \[\leadsto \frac{\color{blue}{\frac{{\left(e^{x}\right)}^{3} - {1}^{3}}{e^{x} \cdot e^{x} + \left(1 \cdot 1 + e^{x} \cdot 1\right)}}}{x}\]
    4. Simplified0.0

      \[\leadsto \frac{\frac{\color{blue}{-1 + {\left(e^{x}\right)}^{3}}}{e^{x} \cdot e^{x} + \left(1 \cdot 1 + e^{x} \cdot 1\right)}}{x}\]
    5. Simplified0.0

      \[\leadsto \frac{\frac{-1 + {\left(e^{x}\right)}^{3}}{\color{blue}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}}{x}\]
    6. Using strategy rm
    7. Applied add-log-exp_binary64_18220.0

      \[\leadsto \frac{\frac{-1 + \color{blue}{\log \left(e^{{\left(e^{x}\right)}^{3}}\right)}}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\]
    8. Applied add-log-exp_binary64_18220.0

      \[\leadsto \frac{\frac{\color{blue}{\log \left(e^{-1}\right)} + \log \left(e^{{\left(e^{x}\right)}^{3}}\right)}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\]
    9. Applied sum-log_binary64_18740.0

      \[\leadsto \frac{\frac{\color{blue}{\log \left(e^{-1} \cdot e^{{\left(e^{x}\right)}^{3}}\right)}}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\]

    if -0.0013560797573243535 < x

    1. Initial program 59.9

      \[\frac{e^{x} - 1}{x}\]
    2. Taylor expanded around 0 0.4

      \[\leadsto \color{blue}{0.5 \cdot x + \left(0.16666666666666666 \cdot {x}^{2} + \left(0.041666666666666664 \cdot {x}^{3} + 1\right)\right)}\]
    3. Simplified0.4

      \[\leadsto \color{blue}{1 + x \cdot \left(0.5 + x \cdot \left(0.16666666666666666 + x \cdot 0.041666666666666664\right)\right)}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \leq -0.0013560797573243535:\\ \;\;\;\;\frac{\frac{\log \left(e^{-1} \cdot e^{{\left(e^{x}\right)}^{3}}\right)}{{\left(e^{x}\right)}^{2} + \left(e^{x} + 1\right)}}{x}\\ \mathbf{else}:\\ \;\;\;\;1 + x \cdot \left(0.5 + x \cdot \left(0.16666666666666666 + x \cdot 0.041666666666666664\right)\right)\\ \end{array}\]

Reproduce

herbie shell --seed 2021020 
(FPCore (x)
  :name "Kahan's exp quotient"
  :precision binary64

  :herbie-target
  (if (and (< x 1.0) (> x -1.0)) (/ (- (exp x) 1.0) (log (exp x))) (/ (- (exp x) 1.0) x))

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