Average Error: 0.7 → 0.6
Time: 9.2s
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 r124614 = a;
        double r124615 = exp(r124614);
        double r124616 = b;
        double r124617 = exp(r124616);
        double r124618 = r124615 + r124617;
        double r124619 = r124615 / r124618;
        return r124619;
}

double f(double a, double b) {
        double r124620 = a;
        double r124621 = exp(r124620);
        double r124622 = b;
        double r124623 = exp(r124622);
        double r124624 = r124621 + r124623;
        double r124625 = log(r124624);
        double r124626 = r124620 - r124625;
        double r124627 = exp(r124626);
        return r124627;
}

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 2020046 
(FPCore (a b)
  :name "Quotient of sum of exps"
  :precision binary64

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

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