Average Error: 22.1 → 0.1
Time: 6.7s
Precision: binary64
\[1 - \frac{\left(1 - x\right) \cdot y}{y + 1} \]
\[\begin{array}{l} t_0 := \frac{y}{1 + y}\\ t_1 := \mathsf{fma}\left(t_0, x, 1\right)\\ t_2 := \frac{\left(1 - x\right) \cdot y}{1 + y}\\ t_3 := \frac{y}{1 - y \cdot y}\\ t_4 := \mathsf{fma}\left(y + -1, t_3, \left(1 - y\right) \cdot t_3\right)\\ \mathbf{if}\;t_2 \leq 0.9414768534009036:\\ \;\;\;\;\mathsf{fma}\left(1, t_1, -t_0\right) + t_4\\ \mathbf{elif}\;t_2 \leq 1.049322930173576:\\ \;\;\;\;\left(\frac{1}{y} + \left(x + \frac{x}{{y}^{2}}\right)\right) - \left(\frac{x}{y} + \frac{1}{{y}^{2}}\right)\\ \mathbf{else}:\\ \;\;\;\;t_4 + \mathsf{fma}\left(1, t_1, \frac{y + -1}{\frac{1}{y} - y}\right)\\ \end{array} \]
1 - \frac{\left(1 - x\right) \cdot y}{y + 1}
\begin{array}{l}
t_0 := \frac{y}{1 + y}\\
t_1 := \mathsf{fma}\left(t_0, x, 1\right)\\
t_2 := \frac{\left(1 - x\right) \cdot y}{1 + y}\\
t_3 := \frac{y}{1 - y \cdot y}\\
t_4 := \mathsf{fma}\left(y + -1, t_3, \left(1 - y\right) \cdot t_3\right)\\
\mathbf{if}\;t_2 \leq 0.9414768534009036:\\
\;\;\;\;\mathsf{fma}\left(1, t_1, -t_0\right) + t_4\\

\mathbf{elif}\;t_2 \leq 1.049322930173576:\\
\;\;\;\;\left(\frac{1}{y} + \left(x + \frac{x}{{y}^{2}}\right)\right) - \left(\frac{x}{y} + \frac{1}{{y}^{2}}\right)\\

\mathbf{else}:\\
\;\;\;\;t_4 + \mathsf{fma}\left(1, t_1, \frac{y + -1}{\frac{1}{y} - y}\right)\\


\end{array}
(FPCore (x y) :precision binary64 (- 1.0 (/ (* (- 1.0 x) y) (+ y 1.0))))
(FPCore (x y)
 :precision binary64
 (let* ((t_0 (/ y (+ 1.0 y)))
        (t_1 (fma t_0 x 1.0))
        (t_2 (/ (* (- 1.0 x) y) (+ 1.0 y)))
        (t_3 (/ y (- 1.0 (* y y))))
        (t_4 (fma (+ y -1.0) t_3 (* (- 1.0 y) t_3))))
   (if (<= t_2 0.9414768534009036)
     (+ (fma 1.0 t_1 (- t_0)) t_4)
     (if (<= t_2 1.049322930173576)
       (-
        (+ (/ 1.0 y) (+ x (/ x (pow y 2.0))))
        (+ (/ x y) (/ 1.0 (pow y 2.0))))
       (+ t_4 (fma 1.0 t_1 (/ (+ y -1.0) (- (/ 1.0 y) y))))))))
double code(double x, double y) {
	return 1.0 - (((1.0 - x) * y) / (y + 1.0));
}
double code(double x, double y) {
	double t_0 = y / (1.0 + y);
	double t_1 = fma(t_0, x, 1.0);
	double t_2 = ((1.0 - x) * y) / (1.0 + y);
	double t_3 = y / (1.0 - (y * y));
	double t_4 = fma((y + -1.0), t_3, ((1.0 - y) * t_3));
	double tmp;
	if (t_2 <= 0.9414768534009036) {
		tmp = fma(1.0, t_1, -t_0) + t_4;
	} else if (t_2 <= 1.049322930173576) {
		tmp = ((1.0 / y) + (x + (x / pow(y, 2.0)))) - ((x / y) + (1.0 / pow(y, 2.0)));
	} else {
		tmp = t_4 + fma(1.0, t_1, ((y + -1.0) / ((1.0 / y) - y)));
	}
	return tmp;
}

Error

Bits error versus x

Bits error versus y

Target

Original22.1
Target0.2
Herbie0.1
\[\begin{array}{l} \mathbf{if}\;y < -3693.8482788297247:\\ \;\;\;\;\frac{1}{y} - \left(\frac{x}{y} - x\right)\\ \mathbf{elif}\;y < 6799310503.41891:\\ \;\;\;\;1 - \frac{\left(1 - x\right) \cdot y}{y + 1}\\ \mathbf{else}:\\ \;\;\;\;\frac{1}{y} - \left(\frac{x}{y} - x\right)\\ \end{array} \]

Derivation

  1. Split input into 3 regimes
  2. if (/.f64 (*.f64 (-.f64 1 x) y) (+.f64 y 1)) < 0.941476853400903591

    1. Initial program 6.9

      \[1 - \frac{\left(1 - x\right) \cdot y}{y + 1} \]
    2. Simplified0.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, \frac{x + -1}{1 + y}, 1\right)} \]
    3. Taylor expanded in x around 0 6.9

      \[\leadsto \color{blue}{\left(1 + \frac{y \cdot x}{1 + y}\right) - \frac{y}{1 + y}} \]
    4. Simplified0.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \frac{y}{1 + y}} \]
    5. Applied flip-+_binary640.2

      \[\leadsto \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \frac{y}{\color{blue}{\frac{1 \cdot 1 - y \cdot y}{1 - y}}} \]
    6. Applied associate-/r/_binary640.2

      \[\leadsto \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \color{blue}{\frac{y}{1 \cdot 1 - y \cdot y} \cdot \left(1 - y\right)} \]
    7. Applied *-un-lft-identity_binary640.2

      \[\leadsto \color{blue}{1 \cdot \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right)} - \frac{y}{1 \cdot 1 - y \cdot y} \cdot \left(1 - y\right) \]
    8. Applied prod-diff_binary640.2

      \[\leadsto \color{blue}{\mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right)} \]
    9. Applied flip--_binary647.0

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\color{blue}{\frac{1 \cdot 1 - y \cdot y}{1 + y}} \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]
    10. Applied associate-*l/_binary647.0

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\color{blue}{\frac{\left(1 \cdot 1 - y \cdot y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}}{1 + y}}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]
    11. Simplified0.0

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\frac{\color{blue}{y}}{1 + y}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]

    if 0.941476853400903591 < (/.f64 (*.f64 (-.f64 1 x) y) (+.f64 y 1)) < 1.049322930173576

    1. Initial program 57.6

      \[1 - \frac{\left(1 - x\right) \cdot y}{y + 1} \]
    2. Simplified57.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, \frac{x + -1}{1 + y}, 1\right)} \]
    3. Taylor expanded in y around inf 0.5

      \[\leadsto \color{blue}{\left(\frac{1}{y} + \left(\frac{x}{{y}^{2}} + x\right)\right) - \left(\frac{x}{y} + \frac{1}{{y}^{2}}\right)} \]

    if 1.049322930173576 < (/.f64 (*.f64 (-.f64 1 x) y) (+.f64 y 1))

    1. Initial program 22.1

      \[1 - \frac{\left(1 - x\right) \cdot y}{y + 1} \]
    2. Simplified0.1

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, \frac{x + -1}{1 + y}, 1\right)} \]
    3. Taylor expanded in x around 0 22.1

      \[\leadsto \color{blue}{\left(1 + \frac{y \cdot x}{1 + y}\right) - \frac{y}{1 + y}} \]
    4. Simplified0.0

      \[\leadsto \color{blue}{\mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \frac{y}{1 + y}} \]
    5. Applied flip-+_binary640.6

      \[\leadsto \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \frac{y}{\color{blue}{\frac{1 \cdot 1 - y \cdot y}{1 - y}}} \]
    6. Applied associate-/r/_binary640.6

      \[\leadsto \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right) - \color{blue}{\frac{y}{1 \cdot 1 - y \cdot y} \cdot \left(1 - y\right)} \]
    7. Applied *-un-lft-identity_binary640.6

      \[\leadsto \color{blue}{1 \cdot \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right)} - \frac{y}{1 \cdot 1 - y \cdot y} \cdot \left(1 - y\right) \]
    8. Applied prod-diff_binary640.6

      \[\leadsto \color{blue}{\mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right)} \]
    9. Applied *-un-lft-identity_binary640.6

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\color{blue}{\left(1 \cdot \left(1 - y\right)\right)} \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]
    10. Applied associate-*l*_binary640.6

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\color{blue}{1 \cdot \left(\left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right)}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]
    11. Simplified0.0

      \[\leadsto \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -1 \cdot \color{blue}{\frac{1 - y}{\frac{1}{y} - y}}\right) + \mathsf{fma}\left(-\left(1 - y\right), \frac{y}{1 \cdot 1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 \cdot 1 - y \cdot y}\right) \]
  3. Recombined 3 regimes into one program.
  4. Final simplification0.1

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{\left(1 - x\right) \cdot y}{1 + y} \leq 0.9414768534009036:\\ \;\;\;\;\mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), -\frac{y}{1 + y}\right) + \mathsf{fma}\left(y + -1, \frac{y}{1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 - y \cdot y}\right)\\ \mathbf{elif}\;\frac{\left(1 - x\right) \cdot y}{1 + y} \leq 1.049322930173576:\\ \;\;\;\;\left(\frac{1}{y} + \left(x + \frac{x}{{y}^{2}}\right)\right) - \left(\frac{x}{y} + \frac{1}{{y}^{2}}\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(y + -1, \frac{y}{1 - y \cdot y}, \left(1 - y\right) \cdot \frac{y}{1 - y \cdot y}\right) + \mathsf{fma}\left(1, \mathsf{fma}\left(\frac{y}{1 + y}, x, 1\right), \frac{y + -1}{\frac{1}{y} - y}\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2022160 
(FPCore (x y)
  :name "Diagrams.Trail:splitAtParam  from diagrams-lib-1.3.0.3, D"
  :precision binary64

  :herbie-target
  (if (< y -3693.8482788297247) (- (/ 1.0 y) (- (/ x y) x)) (if (< y 6799310503.41891) (- 1.0 (/ (* (- 1.0 x) y) (+ y 1.0))) (- (/ 1.0 y) (- (/ x y) x))))

  (- 1.0 (/ (* (- 1.0 x) y) (+ y 1.0))))