Average Error: 62.0 → 51.1
Time: 3.9s
Precision: binary64
\[lo < -1 \cdot 10^{+308} \land hi > 10^{+308}\]
\[\frac{x - lo}{hi - lo} \]
\[\begin{array}{l} t_0 := \frac{hi}{lo} \cdot \frac{hi}{lo}\\ \left(1 + \frac{hi}{lo} \cdot \left(\sqrt[3]{t_0} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right)\right) - \left(\frac{x}{lo} + t_0 \cdot \frac{x}{lo}\right) \end{array} \]
\frac{x - lo}{hi - lo}
\begin{array}{l}
t_0 := \frac{hi}{lo} \cdot \frac{hi}{lo}\\
\left(1 + \frac{hi}{lo} \cdot \left(\sqrt[3]{t_0} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right)\right) - \left(\frac{x}{lo} + t_0 \cdot \frac{x}{lo}\right)
\end{array}
(FPCore (lo hi x) :precision binary64 (/ (- x lo) (- hi lo)))
(FPCore (lo hi x)
 :precision binary64
 (let* ((t_0 (* (/ hi lo) (/ hi lo))))
   (-
    (+ 1.0 (* (/ hi lo) (* (cbrt t_0) (cbrt (+ 1.0 (/ hi lo))))))
    (+ (/ x lo) (* t_0 (/ x lo))))))
double code(double lo, double hi, double x) {
	return (x - lo) / (hi - lo);
}
double code(double lo, double hi, double x) {
	double t_0 = (hi / lo) * (hi / lo);
	return (1.0 + ((hi / lo) * (cbrt(t_0) * cbrt(1.0 + (hi / lo))))) - ((x / lo) + (t_0 * (x / lo)));
}

Error

Bits error versus lo

Bits error versus hi

Bits error versus x

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Derivation

  1. Initial program 62.0

    \[\frac{x - lo}{hi - lo} \]
  2. Taylor expanded in hi around 0 64.0

    \[\leadsto \color{blue}{\left(1 + \left(\frac{hi}{lo} + \frac{{hi}^{2}}{{lo}^{2}}\right)\right) - \left(\frac{{hi}^{2} \cdot x}{{lo}^{3}} + \left(\frac{hi \cdot x}{{lo}^{2}} + \frac{x}{lo}\right)\right)} \]
  3. Simplified51.9

    \[\leadsto \color{blue}{\left(1 + \left(1 + \frac{hi}{lo}\right) \cdot \frac{hi}{lo}\right) - \left(\frac{x}{lo} + \frac{x}{lo} \cdot \left(\left(1 + \frac{hi}{lo}\right) \cdot \frac{hi}{lo}\right)\right)} \]
  4. Taylor expanded in hi around inf 51.9

    \[\leadsto \left(1 + \left(1 + \frac{hi}{lo}\right) \cdot \frac{hi}{lo}\right) - \left(\frac{x}{lo} + \frac{x}{lo} \cdot \left(\color{blue}{\frac{hi}{lo}} \cdot \frac{hi}{lo}\right)\right) \]
  5. Applied add-cube-cbrt_binary6451.9

    \[\leadsto \left(1 + \color{blue}{\left(\left(\sqrt[3]{1 + \frac{hi}{lo}} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right) \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right)} \cdot \frac{hi}{lo}\right) - \left(\frac{x}{lo} + \frac{x}{lo} \cdot \left(\frac{hi}{lo} \cdot \frac{hi}{lo}\right)\right) \]
  6. Taylor expanded in hi around inf 52.0

    \[\leadsto \left(1 + \left(\color{blue}{e^{0.3333333333333333 \cdot \left(\log \left(\frac{1}{{lo}^{2}}\right) - 2 \cdot \log \left(\frac{1}{hi}\right)\right)}} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right) \cdot \frac{hi}{lo}\right) - \left(\frac{x}{lo} + \frac{x}{lo} \cdot \left(\frac{hi}{lo} \cdot \frac{hi}{lo}\right)\right) \]
  7. Simplified51.1

    \[\leadsto \left(1 + \left(\color{blue}{\sqrt[3]{\frac{hi}{lo} \cdot \frac{hi}{lo}}} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right) \cdot \frac{hi}{lo}\right) - \left(\frac{x}{lo} + \frac{x}{lo} \cdot \left(\frac{hi}{lo} \cdot \frac{hi}{lo}\right)\right) \]
  8. Final simplification51.1

    \[\leadsto \left(1 + \frac{hi}{lo} \cdot \left(\sqrt[3]{\frac{hi}{lo} \cdot \frac{hi}{lo}} \cdot \sqrt[3]{1 + \frac{hi}{lo}}\right)\right) - \left(\frac{x}{lo} + \left(\frac{hi}{lo} \cdot \frac{hi}{lo}\right) \cdot \frac{x}{lo}\right) \]

Reproduce

herbie shell --seed 2021357 
(FPCore (lo hi x)
  :name "(/ (- x lo) (- hi lo))"
  :precision binary64
  :pre (and (< lo -1e+308) (> hi 1e+308))
  (/ (- x lo) (- hi lo)))