Average Error: 6.3 → 0.8
Time: 1.8s
Precision: 64
\[\frac{x \cdot y}{z}\]
↓
\[\begin{array}{l} \mathbf{if}\;x \cdot y \le -7.725807749934587 \cdot 10^{96}:\\ \;\;\;\;\frac{x}{z} \cdot y\\ \mathbf{elif}\;x \cdot y \le -3.0807367441454416 \cdot 10^{-282}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{elif}\;x \cdot y \le -0.0:\\ \;\;\;\;x \cdot \frac{y}{z}\\ \mathbf{elif}\;x \cdot y \le 5.31151602867187701 \cdot 10^{255}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{1}{\frac{x}{\frac{z}{y}}}}\\ \end{array}\]
\frac{x \cdot y}{z}
↓
\begin{array}{l}
\mathbf{if}\;x \cdot y \le -7.725807749934587 \cdot 10^{96}:\\
\;\;\;\;\frac{x}{z} \cdot y\\

\mathbf{elif}\;x \cdot y \le -3.0807367441454416 \cdot 10^{-282}:\\
\;\;\;\;\frac{x \cdot y}{z}\\

\mathbf{elif}\;x \cdot y \le -0.0:\\
\;\;\;\;x \cdot \frac{y}{z}\\

\mathbf{elif}\;x \cdot y \le 5.31151602867187701 \cdot 10^{255}:\\
\;\;\;\;\frac{x \cdot y}{z}\\

\mathbf{else}:\\
\;\;\;\;\frac{1}{\frac{1}{\frac{x}{\frac{z}{y}}}}\\

\end{array}
double f(double x, double y, double z) {
        double r791946 = x;
        double r791947 = y;
        double r791948 = r791946 * r791947;
        double r791949 = z;
        double r791950 = r791948 / r791949;
        return r791950;
}
↓
double f(double x, double y, double z) {
        double r791951 = x;
        double r791952 = y;
        double r791953 = r791951 * r791952;
        double r791954 = -7.725807749934587e+96;
        bool r791955 = r791953 <= r791954;
        double r791956 = z;
        double r791957 = r791951 / r791956;
        double r791958 = r791957 * r791952;
        double r791959 = -3.0807367441454416e-282;
        bool r791960 = r791953 <= r791959;
        double r791961 = r791953 / r791956;
        double r791962 = -0.0;
        bool r791963 = r791953 <= r791962;
        double r791964 = r791952 / r791956;
        double r791965 = r791951 * r791964;
        double r791966 = 5.311516028671877e+255;
        bool r791967 = r791953 <= r791966;
        double r791968 = 1.0;
        double r791969 = r791956 / r791952;
        double r791970 = r791951 / r791969;
        double r791971 = r791968 / r791970;
        double r791972 = r791968 / r791971;
        double r791973 = r791967 ? r791961 : r791972;
        double r791974 = r791963 ? r791965 : r791973;
        double r791975 = r791960 ? r791961 : r791974;
        double r791976 = r791955 ? r791958 : r791975;
        return r791976;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original6.3
Target6.4
Herbie0.8
\[\begin{array}{l} \mathbf{if}\;z \lt -4.262230790519429 \cdot 10^{-138}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{elif}\;z \lt 1.70421306606504721 \cdot 10^{-164}:\\ \;\;\;\;\frac{x}{\frac{z}{y}}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z} \cdot y\\ \end{array}\]

Derivation

  1. Split input into 4 regimes

  2. if (* x y) < -7.725807749934587e+96

    1. Initial program 14.6

      \[\frac{x \cdot y}{z}\]
    2. Using strategy rm

    3. Applied associate-/l*3.3

      \[\leadsto \color{blue}{\frac{x}{\frac{z}{y}}}\]
    4. Using strategy rm

    5. Applied associate-/r/4.1

      \[\leadsto \color{blue}{\frac{x}{z} \cdot y}\]

    if -7.725807749934587e+96 < (* x y) < -3.0807367441454416e-282 or -0.0 < (* x y) < 5.311516028671877e+255

    1. Initial program 0.4

      \[\frac{x \cdot y}{z}\]

    if -3.0807367441454416e-282 < (* x y) < -0.0

    1. Initial program 17.6

      \[\frac{x \cdot y}{z}\]
    2. Using strategy rm

    3. Applied *-un-lft-identity17.6

      \[\leadsto \frac{x \cdot y}{\color{blue}{1 \cdot z}}\]

    4. Applied times-frac0.1

      \[\leadsto \color{blue}{\frac{x}{1} \cdot \frac{y}{z}}\]

    5. Simplified0.1

      \[\leadsto \color{blue}{x} \cdot \frac{y}{z}\]

    if 5.311516028671877e+255 < (* x y)

    1. Initial program 40.0

      \[\frac{x \cdot y}{z}\]
    2. Using strategy rm

    3. Applied associate-/l*0.3

      \[\leadsto \color{blue}{\frac{x}{\frac{z}{y}}}\]
    4. Using strategy rm

    5. Applied clear-num0.3

      \[\leadsto \color{blue}{\frac{1}{\frac{\frac{z}{y}}{x}}}\]
    6. Using strategy rm

    7. Applied *-un-lft-identity0.3

      \[\leadsto \frac{1}{\frac{\frac{z}{\color{blue}{1 \cdot y}}}{x}}\]

    8. Applied *-un-lft-identity0.3

      \[\leadsto \frac{1}{\frac{\frac{\color{blue}{1 \cdot z}}{1 \cdot y}}{x}}\]

    9. Applied times-frac0.3

      \[\leadsto \frac{1}{\frac{\color{blue}{\frac{1}{1} \cdot \frac{z}{y}}}{x}}\]

    10. Applied associate-/l*0.4

      \[\leadsto \frac{1}{\color{blue}{\frac{\frac{1}{1}}{\frac{x}{\frac{z}{y}}}}}\]
  3. Recombined 4 regimes into one program.

  4. Final simplification0.8

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \cdot y \le -7.725807749934587 \cdot 10^{96}:\\ \;\;\;\;\frac{x}{z} \cdot y\\ \mathbf{elif}\;x \cdot y \le -3.0807367441454416 \cdot 10^{-282}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{elif}\;x \cdot y \le -0.0:\\ \;\;\;\;x \cdot \frac{y}{z}\\ \mathbf{elif}\;x \cdot y \le 5.31151602867187701 \cdot 10^{255}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{\frac{1}{\frac{x}{\frac{z}{y}}}}\\ \end{array}\]

Reproduce

herbie shell --seed 2020060 
(FPCore (x y z)
  :name "Diagrams.Solve.Tridiagonal:solveCyclicTriDiagonal from diagrams-solve-0.1, A"
  :precision binary64

  :herbie-target
  (if (< z -4.262230790519429e-138) (/ (* x y) z) (if (< z 1.7042130660650472e-164) (/ x (/ z y)) (* (/ x z) y)))

  (/ (* x y) z))