Average Error: 0.7 → 0.6
Time: 3.6s
Precision: 64
\[\frac{e^{a}}{e^{a} + e^{b}}\]
\[e^{a - \log \left(e^{a} + e^{b}\right)}\]
\frac{e^{a}}{e^{a} + e^{b}}
e^{a - \log \left(e^{a} + e^{b}\right)}
double f(double a, double b) {
        double r162903 = a;
        double r162904 = exp(r162903);
        double r162905 = b;
        double r162906 = exp(r162905);
        double r162907 = r162904 + r162906;
        double r162908 = r162904 / r162907;
        return r162908;
}

double f(double a, double b) {
        double r162909 = a;
        double r162910 = exp(r162909);
        double r162911 = b;
        double r162912 = exp(r162911);
        double r162913 = r162910 + r162912;
        double r162914 = log(r162913);
        double r162915 = r162909 - r162914;
        double r162916 = exp(r162915);
        return r162916;
}

Error

Bits error versus a

Bits error versus b

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original0.7
Target0.0
Herbie0.6
\[\frac{1}{1 + e^{b - a}}\]

Derivation

  1. Initial program 0.7

    \[\frac{e^{a}}{e^{a} + e^{b}}\]
  2. Using strategy rm
  3. Applied add-exp-log0.7

    \[\leadsto \frac{e^{a}}{\color{blue}{e^{\log \left(e^{a} + e^{b}\right)}}}\]
  4. Applied div-exp0.6

    \[\leadsto \color{blue}{e^{a - \log \left(e^{a} + e^{b}\right)}}\]
  5. Final simplification0.6

    \[\leadsto e^{a - \log \left(e^{a} + e^{b}\right)}\]

Reproduce

herbie shell --seed 2020033 
(FPCore (a b)
  :name "Quotient of sum of exps"
  :precision binary64

  :herbie-target
  (/ 1 (+ 1 (exp (- b a))))

  (/ (exp a) (+ (exp a) (exp b))))