Average Error: 2.2 → 2.2
Time: 3.4s
Precision: 64
\[\frac{x}{y} \cdot \left(z - t\right) + t\]
\[\left(\frac{x}{y} \cdot z + \frac{x}{y} \cdot \left(-t\right)\right) + t\]
\frac{x}{y} \cdot \left(z - t\right) + t
\left(\frac{x}{y} \cdot z + \frac{x}{y} \cdot \left(-t\right)\right) + t
double f(double x, double y, double z, double t) {
        double r506741 = x;
        double r506742 = y;
        double r506743 = r506741 / r506742;
        double r506744 = z;
        double r506745 = t;
        double r506746 = r506744 - r506745;
        double r506747 = r506743 * r506746;
        double r506748 = r506747 + r506745;
        return r506748;
}

double f(double x, double y, double z, double t) {
        double r506749 = x;
        double r506750 = y;
        double r506751 = r506749 / r506750;
        double r506752 = z;
        double r506753 = r506751 * r506752;
        double r506754 = t;
        double r506755 = -r506754;
        double r506756 = r506751 * r506755;
        double r506757 = r506753 + r506756;
        double r506758 = r506757 + r506754;
        return r506758;
}

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
Target2.4
Herbie2.2
\[\begin{array}{l} \mathbf{if}\;z \lt 2.759456554562692182563154937894909044548 \cdot 10^{-282}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \mathbf{elif}\;z \lt 2.32699445087443595687739933019129648094 \cdot 10^{-110}:\\ \;\;\;\;x \cdot \frac{z - t}{y} + t\\ \mathbf{else}:\\ \;\;\;\;\frac{x}{y} \cdot \left(z - t\right) + t\\ \end{array}\]

Derivation

  1. Initial program 2.2

    \[\frac{x}{y} \cdot \left(z - t\right) + t\]
  2. Using strategy rm
  3. Applied sub-neg2.2

    \[\leadsto \frac{x}{y} \cdot \color{blue}{\left(z + \left(-t\right)\right)} + t\]
  4. Applied distribute-lft-in2.2

    \[\leadsto \color{blue}{\left(\frac{x}{y} \cdot z + \frac{x}{y} \cdot \left(-t\right)\right)} + t\]
  5. Final simplification2.2

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

Reproduce

herbie shell --seed 2019353 
(FPCore (x y z t)
  :name "Numeric.Signal.Multichannel:$cget from hsignal-0.2.7.1"
  :precision binary64

  :herbie-target
  (if (< z 2.759456554562692e-282) (+ (* (/ x y) (- z t)) t) (if (< z 2.326994450874436e-110) (+ (* x (/ (- z t) y)) t) (+ (* (/ x y) (- z t)) t)))

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