Average Error: 2.2 → 2.3
Time: 4.4s
Precision: 64
\[\frac{x - y}{z - y} \cdot t\]
↓
\[\left(\left(x - y\right) \cdot \frac{1}{z - y}\right) \cdot t\]
\frac{x - y}{z - y} \cdot t
↓
\left(\left(x - y\right) \cdot \frac{1}{z - y}\right) \cdot t
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 (((x - y) * (1.0 / (z - y))) * t);
}

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

Derivation

  1. Initial program 2.2

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

  3. Applied div-inv2.3

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

  4. Final simplification2.3

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

Reproduce

herbie shell --seed 2020091 
(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))