Average Error: 26.2 → 13.2
Time: 17.3s
Precision: 64
\[\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\]
\[\begin{array}{l} \mathbf{if}\;c \le -6.99838818051005 \cdot 10^{+73}:\\ \;\;\;\;\frac{-a}{\mathsf{hypot}\left(c, d\right)}\\ \mathbf{elif}\;c \le 1.938821746780901 \cdot 10^{+120}:\\ \;\;\;\;\frac{\frac{1}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, d \cdot b\right)}}}{\mathsf{hypot}\left(c, d\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{a}{\mathsf{hypot}\left(c, d\right)}\\ \end{array}\]
\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}
\begin{array}{l}
\mathbf{if}\;c \le -6.99838818051005 \cdot 10^{+73}:\\
\;\;\;\;\frac{-a}{\mathsf{hypot}\left(c, d\right)}\\

\mathbf{elif}\;c \le 1.938821746780901 \cdot 10^{+120}:\\
\;\;\;\;\frac{\frac{1}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, d \cdot b\right)}}}{\mathsf{hypot}\left(c, d\right)}\\

\mathbf{else}:\\
\;\;\;\;\frac{a}{\mathsf{hypot}\left(c, d\right)}\\

\end{array}
double f(double a, double b, double c, double d) {
        double r1889650 = a;
        double r1889651 = c;
        double r1889652 = r1889650 * r1889651;
        double r1889653 = b;
        double r1889654 = d;
        double r1889655 = r1889653 * r1889654;
        double r1889656 = r1889652 + r1889655;
        double r1889657 = r1889651 * r1889651;
        double r1889658 = r1889654 * r1889654;
        double r1889659 = r1889657 + r1889658;
        double r1889660 = r1889656 / r1889659;
        return r1889660;
}

double f(double a, double b, double c, double d) {
        double r1889661 = c;
        double r1889662 = -6.99838818051005e+73;
        bool r1889663 = r1889661 <= r1889662;
        double r1889664 = a;
        double r1889665 = -r1889664;
        double r1889666 = d;
        double r1889667 = hypot(r1889661, r1889666);
        double r1889668 = r1889665 / r1889667;
        double r1889669 = 1.938821746780901e+120;
        bool r1889670 = r1889661 <= r1889669;
        double r1889671 = 1.0;
        double r1889672 = b;
        double r1889673 = r1889666 * r1889672;
        double r1889674 = fma(r1889664, r1889661, r1889673);
        double r1889675 = r1889667 / r1889674;
        double r1889676 = r1889671 / r1889675;
        double r1889677 = r1889676 / r1889667;
        double r1889678 = r1889664 / r1889667;
        double r1889679 = r1889670 ? r1889677 : r1889678;
        double r1889680 = r1889663 ? r1889668 : r1889679;
        return r1889680;
}

Error

Bits error versus a

Bits error versus b

Bits error versus c

Bits error versus d

Target

Original26.2
Target0.4
Herbie13.2
\[\begin{array}{l} \mathbf{if}\;\left|d\right| \lt \left|c\right|:\\ \;\;\;\;\frac{a + b \cdot \frac{d}{c}}{c + d \cdot \frac{d}{c}}\\ \mathbf{else}:\\ \;\;\;\;\frac{b + a \cdot \frac{c}{d}}{d + c \cdot \frac{c}{d}}\\ \end{array}\]

Derivation

  1. Split input into 3 regimes
  2. if c < -6.99838818051005e+73

    1. Initial program 37.1

      \[\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt37.1

      \[\leadsto \frac{a \cdot c + b \cdot d}{\color{blue}{\sqrt{c \cdot c + d \cdot d} \cdot \sqrt{c \cdot c + d \cdot d}}}\]
    4. Applied associate-/r*37.0

      \[\leadsto \color{blue}{\frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\sqrt{c \cdot c + d \cdot d}}}\]
    5. Using strategy rm
    6. Applied hypot-def37.0

      \[\leadsto \frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\color{blue}{\mathsf{hypot}\left(c, d\right)}}\]
    7. Using strategy rm
    8. Applied *-un-lft-identity37.0

      \[\leadsto \frac{\frac{\color{blue}{1 \cdot \left(a \cdot c + b \cdot d\right)}}{\sqrt{c \cdot c + d \cdot d}}}{\mathsf{hypot}\left(c, d\right)}\]
    9. Applied associate-/l*37.1

      \[\leadsto \frac{\color{blue}{\frac{1}{\frac{\sqrt{c \cdot c + d \cdot d}}{a \cdot c + b \cdot d}}}}{\mathsf{hypot}\left(c, d\right)}\]
    10. Simplified24.8

      \[\leadsto \frac{\frac{1}{\color{blue}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, b \cdot d\right)}}}}{\mathsf{hypot}\left(c, d\right)}\]
    11. Taylor expanded around -inf 17.1

      \[\leadsto \frac{\color{blue}{-1 \cdot a}}{\mathsf{hypot}\left(c, d\right)}\]
    12. Simplified17.1

      \[\leadsto \frac{\color{blue}{-a}}{\mathsf{hypot}\left(c, d\right)}\]

    if -6.99838818051005e+73 < c < 1.938821746780901e+120

    1. Initial program 18.7

      \[\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt18.7

      \[\leadsto \frac{a \cdot c + b \cdot d}{\color{blue}{\sqrt{c \cdot c + d \cdot d} \cdot \sqrt{c \cdot c + d \cdot d}}}\]
    4. Applied associate-/r*18.6

      \[\leadsto \color{blue}{\frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\sqrt{c \cdot c + d \cdot d}}}\]
    5. Using strategy rm
    6. Applied hypot-def18.6

      \[\leadsto \frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\color{blue}{\mathsf{hypot}\left(c, d\right)}}\]
    7. Using strategy rm
    8. Applied *-un-lft-identity18.6

      \[\leadsto \frac{\frac{\color{blue}{1 \cdot \left(a \cdot c + b \cdot d\right)}}{\sqrt{c \cdot c + d \cdot d}}}{\mathsf{hypot}\left(c, d\right)}\]
    9. Applied associate-/l*18.7

      \[\leadsto \frac{\color{blue}{\frac{1}{\frac{\sqrt{c \cdot c + d \cdot d}}{a \cdot c + b \cdot d}}}}{\mathsf{hypot}\left(c, d\right)}\]
    10. Simplified11.6

      \[\leadsto \frac{\frac{1}{\color{blue}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, b \cdot d\right)}}}}{\mathsf{hypot}\left(c, d\right)}\]

    if 1.938821746780901e+120 < c

    1. Initial program 41.2

      \[\frac{a \cdot c + b \cdot d}{c \cdot c + d \cdot d}\]
    2. Using strategy rm
    3. Applied add-sqr-sqrt41.2

      \[\leadsto \frac{a \cdot c + b \cdot d}{\color{blue}{\sqrt{c \cdot c + d \cdot d} \cdot \sqrt{c \cdot c + d \cdot d}}}\]
    4. Applied associate-/r*41.1

      \[\leadsto \color{blue}{\frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\sqrt{c \cdot c + d \cdot d}}}\]
    5. Using strategy rm
    6. Applied hypot-def41.1

      \[\leadsto \frac{\frac{a \cdot c + b \cdot d}{\sqrt{c \cdot c + d \cdot d}}}{\color{blue}{\mathsf{hypot}\left(c, d\right)}}\]
    7. Using strategy rm
    8. Applied *-un-lft-identity41.1

      \[\leadsto \frac{\frac{\color{blue}{1 \cdot \left(a \cdot c + b \cdot d\right)}}{\sqrt{c \cdot c + d \cdot d}}}{\mathsf{hypot}\left(c, d\right)}\]
    9. Applied associate-/l*41.2

      \[\leadsto \frac{\color{blue}{\frac{1}{\frac{\sqrt{c \cdot c + d \cdot d}}{a \cdot c + b \cdot d}}}}{\mathsf{hypot}\left(c, d\right)}\]
    10. Simplified26.4

      \[\leadsto \frac{\frac{1}{\color{blue}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, b \cdot d\right)}}}}{\mathsf{hypot}\left(c, d\right)}\]
    11. Taylor expanded around inf 14.6

      \[\leadsto \frac{\color{blue}{a}}{\mathsf{hypot}\left(c, d\right)}\]
  3. Recombined 3 regimes into one program.
  4. Final simplification13.2

    \[\leadsto \begin{array}{l} \mathbf{if}\;c \le -6.99838818051005 \cdot 10^{+73}:\\ \;\;\;\;\frac{-a}{\mathsf{hypot}\left(c, d\right)}\\ \mathbf{elif}\;c \le 1.938821746780901 \cdot 10^{+120}:\\ \;\;\;\;\frac{\frac{1}{\frac{\mathsf{hypot}\left(c, d\right)}{\mathsf{fma}\left(a, c, d \cdot b\right)}}}{\mathsf{hypot}\left(c, d\right)}\\ \mathbf{else}:\\ \;\;\;\;\frac{a}{\mathsf{hypot}\left(c, d\right)}\\ \end{array}\]

Reproduce

herbie shell --seed 2019153 +o rules:numerics
(FPCore (a b c d)
  :name "Complex division, real part"

  :herbie-target
  (if (< (fabs d) (fabs c)) (/ (+ a (* b (/ d c))) (+ c (* d (/ d c)))) (/ (+ b (* a (/ c d))) (+ d (* c (/ c d)))))

  (/ (+ (* a c) (* b d)) (+ (* c c) (* d d))))