Average Error: 2.3 → 2.3
Time: 16.6s
Precision: 64
\[\frac{x - y}{z - y} \cdot t\]
↓
\[\frac{x - y}{z - y} \cdot t\]
\frac{x - y}{z - y} \cdot t
↓
\frac{x - y}{z - y} \cdot t
double f(double x, double y, double z, double t) {
        double r340082 = x;
        double r340083 = y;
        double r340084 = r340082 - r340083;
        double r340085 = z;
        double r340086 = r340085 - r340083;
        double r340087 = r340084 / r340086;
        double r340088 = t;
        double r340089 = r340087 * r340088;
        return r340089;
}
↓
double f(double x, double y, double z, double t) {
        double r340090 = x;
        double r340091 = y;
        double r340092 = r340090 - r340091;
        double r340093 = z;
        double r340094 = r340093 - r340091;
        double r340095 = r340092 / r340094;
        double r340096 = t;
        double r340097 = r340095 * r340096;
        return r340097;
}

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

Original2.3
Target2.2
Herbie2.3
\[\frac{t}{\frac{z - y}{x - y}}\]

Derivation

  1. Initial program 2.3

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

  3. Applied div-inv2.4

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

  4. Applied associate-*l*10.8

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

  5. Simplified10.7

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

  7. Applied clear-num11.4

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

  9. Applied associate-/r/10.8

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

  10. Applied associate-*r*2.4

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

  11. Simplified2.3

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

  12. Final simplification2.3

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

Reproduce

herbie shell --seed 2019323 
(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))