Average Error: 58.7 → 3.4
Time: 24.0s
Precision: 64
Internal Precision: 2368
\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
\[\begin{array}{l} \mathbf{if}\;a \le 1.911891629676131 \cdot 10^{+196} \lor \neg \left(a \le 4.488836011909856 \cdot 10^{+279}\right):\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon \cdot \frac{(e^{\left(b + a\right) \cdot \varepsilon} - 1)^*}{(e^{b \cdot \varepsilon} - 1)^*}}{(e^{\varepsilon \cdot a} - 1)^*}\\ \end{array}\]

Error

Bits error versus a

Bits error versus b

Bits error versus eps

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original58.7
Target14.5
Herbie3.4
\[\frac{a + b}{a \cdot b}\]

Derivation

  1. Split input into 2 regimes
  2. if a < 1.911891629676131e+196 or 4.488836011909856e+279 < a

    1. Initial program 59.3

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
    2. Initial simplification28.0

      \[\leadsto \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \frac{\varepsilon}{(e^{\varepsilon \cdot a} - 1)^*}\]
    3. Taylor expanded around 0 2.7

      \[\leadsto \color{blue}{\frac{1}{a} + \frac{1}{b}}\]

    if 1.911891629676131e+196 < a < 4.488836011909856e+279

    1. Initial program 48.8

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
    2. Initial simplification16.1

      \[\leadsto \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \frac{\varepsilon}{(e^{\varepsilon \cdot a} - 1)^*}\]
    3. Using strategy rm
    4. Applied associate-*r/16.1

      \[\leadsto \color{blue}{\frac{\frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \varepsilon}{(e^{\varepsilon \cdot a} - 1)^*}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification3.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;a \le 1.911891629676131 \cdot 10^{+196} \lor \neg \left(a \le 4.488836011909856 \cdot 10^{+279}\right):\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{\varepsilon \cdot \frac{(e^{\left(b + a\right) \cdot \varepsilon} - 1)^*}{(e^{b \cdot \varepsilon} - 1)^*}}{(e^{\varepsilon \cdot a} - 1)^*}\\ \end{array}\]

Runtime

Time bar (total: 24.0s)Debug logProfile

BaselineHerbieOracleSpan%
Regimes3.23.40.03.2-5.3%
herbie shell --seed 2018339 +o rules:numerics
(FPCore (a b eps)
  :name "expq3 (problem 3.4.2)"
  :pre (and (< -1 eps) (< eps 1))

  :herbie-target
  (/ (+ a b) (* a b))

  (/ (* eps (- (exp (* (+ a b) eps)) 1)) (* (- (exp (* a eps)) 1) (- (exp (* b eps)) 1))))