Average Error: 6.2 → 0.4
Time: 2.4s
Precision: binary64
\[[x, y] = \mathsf{sort}([x, y]) \\]
\[\frac{x \cdot y}{z} \]
\[\begin{array}{l} t_0 := \frac{y}{\frac{z}{x}}\\ t_1 := \frac{x \cdot y}{z}\\ \mathbf{if}\;x \cdot y \leq -1.1825558902623664 \cdot 10^{+183}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \cdot y \leq -9.603133343069813 \cdot 10^{-216}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \cdot y \leq 7.199250155588428 \cdot 10^{-278}:\\ \;\;\;\;t_0\\ \mathbf{elif}\;x \cdot y \leq 1.0061014461818346 \cdot 10^{+298}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_0\\ \end{array} \]
\frac{x \cdot y}{z}
\begin{array}{l}
t_0 := \frac{y}{\frac{z}{x}}\\
t_1 := \frac{x \cdot y}{z}\\
\mathbf{if}\;x \cdot y \leq -1.1825558902623664 \cdot 10^{+183}:\\
\;\;\;\;t_0\\

\mathbf{elif}\;x \cdot y \leq -9.603133343069813 \cdot 10^{-216}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;x \cdot y \leq 7.199250155588428 \cdot 10^{-278}:\\
\;\;\;\;t_0\\

\mathbf{elif}\;x \cdot y \leq 1.0061014461818346 \cdot 10^{+298}:\\
\;\;\;\;t_1\\

\mathbf{else}:\\
\;\;\;\;t_0\\


\end{array}
(FPCore (x y z) :precision binary64 (/ (* x y) z))
(FPCore (x y z)
 :precision binary64
 (let* ((t_0 (/ y (/ z x))) (t_1 (/ (* x y) z)))
   (if (<= (* x y) -1.1825558902623664e+183)
     t_0
     (if (<= (* x y) -9.603133343069813e-216)
       t_1
       (if (<= (* x y) 7.199250155588428e-278)
         t_0
         (if (<= (* x y) 1.0061014461818346e+298) t_1 t_0))))))
double code(double x, double y, double z) {
	return (x * y) / z;
}
double code(double x, double y, double z) {
	double t_0 = y / (z / x);
	double t_1 = (x * y) / z;
	double tmp;
	if ((x * y) <= -1.1825558902623664e+183) {
		tmp = t_0;
	} else if ((x * y) <= -9.603133343069813e-216) {
		tmp = t_1;
	} else if ((x * y) <= 7.199250155588428e-278) {
		tmp = t_0;
	} else if ((x * y) <= 1.0061014461818346e+298) {
		tmp = t_1;
	} else {
		tmp = t_0;
	}
	return tmp;
}

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

Original6.2
Target6.3
Herbie0.4
\[\begin{array}{l} \mathbf{if}\;z < -4.262230790519429 \cdot 10^{-138}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{elif}\;z < 1.7042130660650472 \cdot 10^{-164}:\\ \;\;\;\;\frac{x}{\frac{z}{y}}\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{z} \cdot y\\ \end{array} \]

Derivation

  1. Split input into 2 regimes
  2. if (*.f64 x y) < -1.1825558902623664e183 or -9.6031333430698133e-216 < (*.f64 x y) < 7.1992501555884278e-278 or 1.0061014461818346e298 < (*.f64 x y)

    1. Initial program 18.8

      \[\frac{x \cdot y}{z} \]
    2. Applied egg-rr0.4

      \[\leadsto \color{blue}{\frac{x}{1} \cdot \frac{y}{z}} \]
    3. Applied egg-rr0.7

      \[\leadsto \color{blue}{\frac{y}{\frac{1}{x} \cdot z}} \]
    4. Taylor expanded in x around 0 0.6

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

    if -1.1825558902623664e183 < (*.f64 x y) < -9.6031333430698133e-216 or 7.1992501555884278e-278 < (*.f64 x y) < 1.0061014461818346e298

    1. Initial program 0.2

      \[\frac{x \cdot y}{z} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification0.4

    \[\leadsto \begin{array}{l} \mathbf{if}\;x \cdot y \leq -1.1825558902623664 \cdot 10^{+183}:\\ \;\;\;\;\frac{y}{\frac{z}{x}}\\ \mathbf{elif}\;x \cdot y \leq -9.603133343069813 \cdot 10^{-216}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{elif}\;x \cdot y \leq 7.199250155588428 \cdot 10^{-278}:\\ \;\;\;\;\frac{y}{\frac{z}{x}}\\ \mathbf{elif}\;x \cdot y \leq 1.0061014461818346 \cdot 10^{+298}:\\ \;\;\;\;\frac{x \cdot y}{z}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{\frac{z}{x}}\\ \end{array} \]

Reproduce

herbie shell --seed 2022130 
(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))