Average Error: 6.4 → 1.3
Time: 10.0s
Precision: binary64
\[2 \cdot \left(\left(x \cdot y + z \cdot t\right) - \left(\left(a + b \cdot c\right) \cdot c\right) \cdot i\right) \]
\[\begin{array}{l} \mathbf{if}\;\begin{array}{l} t_1 := c \cdot \left(a + b \cdot c\right)\\ t_1 \leq -2.820513469907538 \cdot 10^{+301} \lor \neg \left(t_1 \leq 1.3625788941162508 \cdot 10^{+113}\right) \end{array}:\\ \;\;\;\;2 \cdot \left(\mathsf{fma}\left(t, z, y \cdot x\right) - c \cdot \left(c \cdot \left(b \cdot i\right) + a \cdot i\right)\right)\\ \mathbf{else}:\\ \;\;\;\;2 \cdot \left(\mathsf{fma}\left(x, y, t \cdot z\right) - i \cdot \left(c \cdot \mathsf{fma}\left(b, c, a\right)\right)\right)\\ \end{array} \]
2 \cdot \left(\left(x \cdot y + z \cdot t\right) - \left(\left(a + b \cdot c\right) \cdot c\right) \cdot i\right)
\begin{array}{l}
\mathbf{if}\;\begin{array}{l}
t_1 := c \cdot \left(a + b \cdot c\right)\\
t_1 \leq -2.820513469907538 \cdot 10^{+301} \lor \neg \left(t_1 \leq 1.3625788941162508 \cdot 10^{+113}\right)
\end{array}:\\
\;\;\;\;2 \cdot \left(\mathsf{fma}\left(t, z, y \cdot x\right) - c \cdot \left(c \cdot \left(b \cdot i\right) + a \cdot i\right)\right)\\

\mathbf{else}:\\
\;\;\;\;2 \cdot \left(\mathsf{fma}\left(x, y, t \cdot z\right) - i \cdot \left(c \cdot \mathsf{fma}\left(b, c, a\right)\right)\right)\\


\end{array}
(FPCore (x y z t a b c i)
 :precision binary64
 (* 2.0 (- (+ (* x y) (* z t)) (* (* (+ a (* b c)) c) i))))
(FPCore (x y z t a b c i)
 :precision binary64
 (if (let* ((t_1 (* c (+ a (* b c)))))
       (or (<= t_1 -2.820513469907538e+301)
           (not (<= t_1 1.3625788941162508e+113))))
   (* 2.0 (- (fma t z (* y x)) (* c (+ (* c (* b i)) (* a i)))))
   (* 2.0 (- (fma x y (* t z)) (* i (* c (fma b c a)))))))
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	return 2.0 * (((x * y) + (z * t)) - (((a + (b * c)) * c) * i));
}
double code(double x, double y, double z, double t, double a, double b, double c, double i) {
	double t_1 = c * (a + (b * c));
	double tmp;
	if ((t_1 <= -2.820513469907538e+301) || !(t_1 <= 1.3625788941162508e+113)) {
		tmp = 2.0 * (fma(t, z, (y * x)) - (c * ((c * (b * i)) + (a * i))));
	} else {
		tmp = 2.0 * (fma(x, y, (t * z)) - (i * (c * fma(b, c, a))));
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Bits error versus c

Bits error versus i

Target

Original6.4
Target1.8
Herbie1.3
\[2 \cdot \left(\left(x \cdot y + z \cdot t\right) - \left(a + b \cdot c\right) \cdot \left(c \cdot i\right)\right) \]

Derivation

  1. Split input into 2 regimes
  2. if (*.f64 (+.f64 a (*.f64 b c)) c) < -2.8205134699075379e301 or 1.3625788941162508e113 < (*.f64 (+.f64 a (*.f64 b c)) c)

    1. Initial program 31.5

      \[2 \cdot \left(\left(x \cdot y + z \cdot t\right) - \left(\left(a + b \cdot c\right) \cdot c\right) \cdot i\right) \]
    2. Simplified31.5

      \[\leadsto \color{blue}{2 \cdot \left(\mathsf{fma}\left(x, y, z \cdot t\right) - \left(c \cdot \mathsf{fma}\left(b, c, a\right)\right) \cdot i\right)} \]
    3. Taylor expanded in x around 0 24.8

      \[\leadsto 2 \cdot \color{blue}{\left(\left(y \cdot x + t \cdot z\right) - \left({c}^{2} \cdot \left(i \cdot b\right) + c \cdot \left(i \cdot a\right)\right)\right)} \]
    4. Simplified6.3

      \[\leadsto 2 \cdot \color{blue}{\left(\mathsf{fma}\left(t, z, y \cdot x\right) - c \cdot \left(i \cdot \mathsf{fma}\left(c, b, a\right)\right)\right)} \]
    5. Taylor expanded in c around 0 5.0

      \[\leadsto 2 \cdot \left(\mathsf{fma}\left(t, z, y \cdot x\right) - c \cdot \color{blue}{\left(c \cdot \left(i \cdot b\right) + a \cdot i\right)}\right) \]

    if -2.8205134699075379e301 < (*.f64 (+.f64 a (*.f64 b c)) c) < 1.3625788941162508e113

    1. Initial program 0.4

      \[2 \cdot \left(\left(x \cdot y + z \cdot t\right) - \left(\left(a + b \cdot c\right) \cdot c\right) \cdot i\right) \]
    2. Simplified0.4

      \[\leadsto \color{blue}{2 \cdot \left(\mathsf{fma}\left(x, y, z \cdot t\right) - \left(c \cdot \mathsf{fma}\left(b, c, a\right)\right) \cdot i\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification1.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;c \cdot \left(a + b \cdot c\right) \leq -2.820513469907538 \cdot 10^{+301} \lor \neg \left(c \cdot \left(a + b \cdot c\right) \leq 1.3625788941162508 \cdot 10^{+113}\right):\\ \;\;\;\;2 \cdot \left(\mathsf{fma}\left(t, z, y \cdot x\right) - c \cdot \left(c \cdot \left(b \cdot i\right) + a \cdot i\right)\right)\\ \mathbf{else}:\\ \;\;\;\;2 \cdot \left(\mathsf{fma}\left(x, y, t \cdot z\right) - i \cdot \left(c \cdot \mathsf{fma}\left(b, c, a\right)\right)\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2021274 
(FPCore (x y z t a b c i)
  :name "Diagrams.ThreeD.Shapes:frustum from diagrams-lib-1.3.0.3, A"
  :precision binary64

  :herbie-target
  (* 2.0 (- (+ (* x y) (* z t)) (* (+ a (* b c)) (* c i))))

  (* 2.0 (- (+ (* x y) (* z t)) (* (* (+ a (* b c)) c) i))))