Average Error: 2.2 → 1.5
Time: 4.7s
Precision: 64
\[\frac{x - y}{z - y} \cdot t\]
↓
\[\begin{array}{l} \mathbf{if}\;\frac{x - y}{z - y} \le -3.9144475542745143 \cdot 10^{-193} \lor \neg \left(\frac{x - y}{z - y} \le 2.00487685086135815 \cdot 10^{-140}\right):\\ \;\;\;\;\frac{x - y}{z - y} \cdot t\\ \mathbf{else}:\\ \;\;\;\;\left(\left(x - y\right) \cdot t\right) \cdot \frac{1}{z - y}\\ \end{array}\]
\frac{x - y}{z - y} \cdot t
↓
\begin{array}{l}
\mathbf{if}\;\frac{x - y}{z - y} \le -3.9144475542745143 \cdot 10^{-193} \lor \neg \left(\frac{x - y}{z - y} \le 2.00487685086135815 \cdot 10^{-140}\right):\\
\;\;\;\;\frac{x - y}{z - y} \cdot t\\

\mathbf{else}:\\
\;\;\;\;\left(\left(x - y\right) \cdot t\right) \cdot \frac{1}{z - y}\\

\end{array}
double code(double x, double y, double z, double t) {
	return ((double) (((double) (((double) (x - y)) / ((double) (z - y)))) * t));
}
↓
double code(double x, double y, double z, double t) {
	double VAR;
	if (((((double) (((double) (x - y)) / ((double) (z - y)))) <= -3.9144475542745143e-193) || !(((double) (((double) (x - y)) / ((double) (z - y)))) <= 2.0048768508613581e-140))) {
		VAR = ((double) (((double) (((double) (x - y)) / ((double) (z - y)))) * t));
	} else {
		VAR = ((double) (((double) (((double) (x - y)) * t)) * ((double) (1.0 / ((double) (z - y))))));
	}
	return VAR;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original2.2
Target2.2
Herbie1.5
\[\frac{t}{\frac{z - y}{x - y}}\]

Derivation

  1. Split input into 2 regimes

  2. if (/ (- x y) (- z y)) < -3.9144475542745143e-193 or 2.0048768508613581e-140 < (/ (- x y) (- z y))

    1. Initial program 1.5

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

    if -3.9144475542745143e-193 < (/ (- x y) (- z y)) < 2.0048768508613581e-140

    1. Initial program 6.5

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

    3. Applied div-inv6.6

      \[\leadsto \color{blue}{\left(\left(x - y\right) \cdot \frac{1}{z - y}\right)} \cdot t\]

    4. Applied associate-*l*1.5

      \[\leadsto \color{blue}{\left(x - y\right) \cdot \left(\frac{1}{z - y} \cdot t\right)}\]

    5. Simplified1.5

      \[\leadsto \left(x - y\right) \cdot \color{blue}{\frac{t}{z - y}}\]
    6. Using strategy rm

    7. Applied div-inv1.5

      \[\leadsto \left(x - y\right) \cdot \color{blue}{\left(t \cdot \frac{1}{z - y}\right)}\]

    8. Applied associate-*r*1.6

      \[\leadsto \color{blue}{\left(\left(x - y\right) \cdot t\right) \cdot \frac{1}{z - y}}\]
  3. Recombined 2 regimes into one program.

  4. Final simplification1.5

    \[\leadsto \begin{array}{l} \mathbf{if}\;\frac{x - y}{z - y} \le -3.9144475542745143 \cdot 10^{-193} \lor \neg \left(\frac{x - y}{z - y} \le 2.00487685086135815 \cdot 10^{-140}\right):\\ \;\;\;\;\frac{x - y}{z - y} \cdot t\\ \mathbf{else}:\\ \;\;\;\;\left(\left(x - y\right) \cdot t\right) \cdot \frac{1}{z - y}\\ \end{array}\]

Reproduce

herbie shell --seed 2020130 
(FPCore (x y z t)
  :name "Numeric.Signal.Multichannel:$cput from hsignal-0.2.7.1"
  :precision binary64

  :herbie-target
  (/ t (/ (- z y) (- x y)))

  (* (/ (- x y) (- z y)) t))