Average Error: 61.4 → 0.0
Time: 51.1s
Precision: 64
Internal precision: 2432
\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
⬇
\[\begin{array}{l}
\mathbf{if}\;b \cdot \varepsilon \le 5.909251882114744 \cdot 10^{+35}:\\
\;\;\;\;\frac{1}{a} + \frac{1}{b}\\
\mathbf{else}:\\
\;\;\;\;\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\sqrt[3]{{\left(e^{a \cdot \varepsilon} - 1\right)}^3} \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\\
\end{array}\]
Target
| Original | 61.4 |
| Comparison | 14.3 |
| Herbie | 0.0 |
\[ \frac{a + b}{a \cdot b} \]
Derivation
- Split input into 2 regimes.
-
if (* b eps) < 5.909251882114744e+35
Initial program 62.0
\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
Applied taylor 0.0
\[\leadsto \frac{1}{a} + \frac{1}{b}\]
Taylor expanded around 0 0.0
\[\leadsto \color{blue}{\frac{1}{a} + \frac{1}{b}}\]
if 5.909251882114744e+35 < (* b eps)
Initial program 0
\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
- Using strategy
rm
Applied add-cbrt-cube 0
\[\leadsto \frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\color{blue}{\sqrt[3]{{\left(e^{a \cdot \varepsilon} - 1\right)}^3}} \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
- Recombined 2 regimes into one program.
- Removed slow pow expressions
Runtime
Please include this information when filing a bug report:
herbie shell --seed '#(2277612311 2645429965 1090895633 2857793080 2144184008 3989768357)'
(FPCore (a b eps)
:name "expq3 (problem 3.4.2)"
:pre (and (< -1 eps) (< eps 1))
:target
(/ (+ a b) (* a b))
(/ (* eps (- (exp (* (+ a b) eps)) 1)) (* (- (exp (* a eps)) 1) (- (exp (* b eps)) 1))))