Average Error: 6.5 → 1.0
Time: 3.2s
Precision: 64
\[x + \frac{\left(y - x\right) \cdot z}{t}\]
\[\begin{array}{l} \mathbf{if}\;x + \frac{\left(y - x\right) \cdot z}{t} = -\infty:\\ \;\;\;\;x + \frac{y - x}{\frac{t}{z}}\\ \mathbf{elif}\;x + \frac{\left(y - x\right) \cdot z}{t} \le 2.334828876963019126638500573266416450503 \cdot 10^{262}:\\ \;\;\;\;x + \frac{\left(y - x\right) \cdot z}{t}\\ \mathbf{else}:\\ \;\;\;\;x + \left(y - x\right) \cdot \frac{z}{t}\\ \end{array}\]
x + \frac{\left(y - x\right) \cdot z}{t}
\begin{array}{l}
\mathbf{if}\;x + \frac{\left(y - x\right) \cdot z}{t} = -\infty:\\
\;\;\;\;x + \frac{y - x}{\frac{t}{z}}\\

\mathbf{elif}\;x + \frac{\left(y - x\right) \cdot z}{t} \le 2.334828876963019126638500573266416450503 \cdot 10^{262}:\\
\;\;\;\;x + \frac{\left(y - x\right) \cdot z}{t}\\

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

\end{array}
double f(double x, double y, double z, double t) {
        double r526371 = x;
        double r526372 = y;
        double r526373 = r526372 - r526371;
        double r526374 = z;
        double r526375 = r526373 * r526374;
        double r526376 = t;
        double r526377 = r526375 / r526376;
        double r526378 = r526371 + r526377;
        return r526378;
}

double f(double x, double y, double z, double t) {
        double r526379 = x;
        double r526380 = y;
        double r526381 = r526380 - r526379;
        double r526382 = z;
        double r526383 = r526381 * r526382;
        double r526384 = t;
        double r526385 = r526383 / r526384;
        double r526386 = r526379 + r526385;
        double r526387 = -inf.0;
        bool r526388 = r526386 <= r526387;
        double r526389 = r526384 / r526382;
        double r526390 = r526381 / r526389;
        double r526391 = r526379 + r526390;
        double r526392 = 2.334828876963019e+262;
        bool r526393 = r526386 <= r526392;
        double r526394 = r526382 / r526384;
        double r526395 = r526381 * r526394;
        double r526396 = r526379 + r526395;
        double r526397 = r526393 ? r526386 : r526396;
        double r526398 = r526388 ? r526391 : r526397;
        return r526398;
}

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

Original6.5
Target2.2
Herbie1.0
\[\begin{array}{l} \mathbf{if}\;x \lt -9.025511195533004570453352523209034680317 \cdot 10^{-135}:\\ \;\;\;\;x - \frac{z}{t} \cdot \left(x - y\right)\\ \mathbf{elif}\;x \lt 4.275032163700714748507147332551979944314 \cdot 10^{-250}:\\ \;\;\;\;x + \frac{y - x}{t} \cdot z\\ \mathbf{else}:\\ \;\;\;\;x + \frac{y - x}{\frac{t}{z}}\\ \end{array}\]

Derivation

  1. Split input into 3 regimes
  2. if (+ x (/ (* (- y x) z) t)) < -inf.0

    1. Initial program 64.0

      \[x + \frac{\left(y - x\right) \cdot z}{t}\]
    2. Using strategy rm
    3. Applied associate-/l*0.2

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

    if -inf.0 < (+ x (/ (* (- y x) z) t)) < 2.334828876963019e+262

    1. Initial program 0.7

      \[x + \frac{\left(y - x\right) \cdot z}{t}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity0.7

      \[\leadsto x + \frac{\left(y - x\right) \cdot z}{\color{blue}{1 \cdot t}}\]
    4. Applied times-frac2.2

      \[\leadsto x + \color{blue}{\frac{y - x}{1} \cdot \frac{z}{t}}\]
    5. Simplified2.2

      \[\leadsto x + \color{blue}{\left(y - x\right)} \cdot \frac{z}{t}\]
    6. Using strategy rm
    7. Applied associate-*r/0.7

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

    if 2.334828876963019e+262 < (+ x (/ (* (- y x) z) t))

    1. Initial program 32.4

      \[x + \frac{\left(y - x\right) \cdot z}{t}\]
    2. Using strategy rm
    3. Applied *-un-lft-identity32.4

      \[\leadsto x + \frac{\left(y - x\right) \cdot z}{\color{blue}{1 \cdot t}}\]
    4. Applied times-frac4.0

      \[\leadsto x + \color{blue}{\frac{y - x}{1} \cdot \frac{z}{t}}\]
    5. Simplified4.0

      \[\leadsto x + \color{blue}{\left(y - x\right)} \cdot \frac{z}{t}\]
  3. Recombined 3 regimes into one program.
  4. Final simplification1.0

    \[\leadsto \begin{array}{l} \mathbf{if}\;x + \frac{\left(y - x\right) \cdot z}{t} = -\infty:\\ \;\;\;\;x + \frac{y - x}{\frac{t}{z}}\\ \mathbf{elif}\;x + \frac{\left(y - x\right) \cdot z}{t} \le 2.334828876963019126638500573266416450503 \cdot 10^{262}:\\ \;\;\;\;x + \frac{\left(y - x\right) \cdot z}{t}\\ \mathbf{else}:\\ \;\;\;\;x + \left(y - x\right) \cdot \frac{z}{t}\\ \end{array}\]

Reproduce

herbie shell --seed 2019353 +o rules:numerics
(FPCore (x y z t)
  :name "Numeric.Histogram:binBounds from Chart-1.5.3"
  :precision binary64

  :herbie-target
  (if (< x -9.025511195533005e-135) (- x (* (/ z t) (- x y))) (if (< x 4.275032163700715e-250) (+ x (* (/ (- y x) t) z)) (+ x (/ (- y x) (/ t z)))))

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