Average Error: 2.1 → 2.0
Time: 3.5s
Precision: 64
\[\frac{x - y}{z - y} \cdot t\]
↓
\[\frac{t}{\frac{z}{x - y} - \frac{y}{x - y}}\]
\frac{x - y}{z - y} \cdot t
↓
\frac{t}{\frac{z}{x - y} - \frac{y}{x - y}}
double code(double x, double y, double z, double t) {
	return (((x - y) / (z - y)) * t);
}
↓
double code(double x, double y, double z, double t) {
	return (t / ((z / (x - y)) - (y / (x - y))));
}

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

Original2.1
Target2.0
Herbie2.0
\[\frac{t}{\frac{z - y}{x - y}}\]

Derivation

  1. Initial program 2.1

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

  3. Applied clear-num2.2

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

  4. Applied associate-*l/2.0

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

  5. Simplified2.0

    \[\leadsto \frac{\color{blue}{t}}{\frac{z - y}{x - y}}\]
  6. Using strategy rm

  7. Applied div-sub2.0

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

  8. Final simplification2.0

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

Reproduce

herbie shell --seed 2020066 +o rules:numerics
(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))