Average Error: 58.6 → 3.3
Time: 53.4s
Precision: 64
Internal Precision: 128
\[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
\[\begin{array}{l} \mathbf{if}\;\varepsilon \le -1.339969652804326 \cdot 10^{-76}:\\ \;\;\;\;\frac{\frac{\varepsilon}{\sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*} \cdot \sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*}}}{\sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*}} \cdot \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{b \cdot \varepsilon} - 1)^*}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \end{array}\]

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

Original58.6
Target14.2
Herbie3.3
\[\frac{a + b}{a \cdot b}\]

Derivation

  1. Split input into 2 regimes
  2. if eps < -1.339969652804326e-76

    1. Initial program 52.5

      \[\frac{\varepsilon \cdot \left(e^{\left(a + b\right) \cdot \varepsilon} - 1\right)}{\left(e^{a \cdot \varepsilon} - 1\right) \cdot \left(e^{b \cdot \varepsilon} - 1\right)}\]
    2. Initial simplification7.3

      \[\leadsto \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \frac{\varepsilon}{(e^{\varepsilon \cdot a} - 1)^*}\]
    3. Using strategy rm
    4. Applied add-cube-cbrt7.9

      \[\leadsto \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \frac{\varepsilon}{\color{blue}{\left(\sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*} \cdot \sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*}\right) \cdot \sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*}}}\]
    5. Applied associate-/r*7.9

      \[\leadsto \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{\varepsilon \cdot b} - 1)^*} \cdot \color{blue}{\frac{\frac{\varepsilon}{\sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*} \cdot \sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*}}}{\sqrt[3]{(e^{\varepsilon \cdot a} - 1)^*}}}\]

    if -1.339969652804326e-76 < eps

    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 simplification30.2

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

      \[\leadsto \color{blue}{\frac{1}{a} + \frac{1}{b}}\]
  3. Recombined 2 regimes into one program.
  4. Final simplification3.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;\varepsilon \le -1.339969652804326 \cdot 10^{-76}:\\ \;\;\;\;\frac{\frac{\varepsilon}{\sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*} \cdot \sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*}}}{\sqrt[3]{(e^{a \cdot \varepsilon} - 1)^*}} \cdot \frac{(e^{\left(a + b\right) \cdot \varepsilon} - 1)^*}{(e^{b \cdot \varepsilon} - 1)^*}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{b} + \frac{1}{a}\\ \end{array}\]

Runtime

Time bar (total: 53.4s)Debug logProfile

BaselineHerbieOracleSpan%
Regimes3.43.30.03.43.6%
herbie shell --seed 2018354 +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))))