Average Error: 7.5 → 7.7
Time: 5.1s
Precision: 64
\[\frac{x \cdot y - z \cdot t}{a}\]
\[\frac{1}{\frac{a}{x \cdot y - z \cdot t}}\]
\frac{x \cdot y - z \cdot t}{a}
\frac{1}{\frac{a}{x \cdot y - z \cdot t}}
double code(double x, double y, double z, double t, double a) {
	return (((x * y) - (z * t)) / a);
}
double code(double x, double y, double z, double t, double a) {
	return (1.0 / (a / ((x * y) - (z * t))));
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Try it out

Your Program's Arguments

Results

Enter valid numbers for all inputs

Target

Original7.5
Target6.2
Herbie7.7
\[\begin{array}{l} \mathbf{if}\;z \lt -2.46868496869954822 \cdot 10^{170}:\\ \;\;\;\;\frac{y}{a} \cdot x - \frac{t}{a} \cdot z\\ \mathbf{elif}\;z \lt 6.30983112197837121 \cdot 10^{-71}:\\ \;\;\;\;\frac{x \cdot y - z \cdot t}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{y}{a} \cdot x - \frac{t}{a} \cdot z\\ \end{array}\]

Derivation

  1. Initial program 7.5

    \[\frac{x \cdot y - z \cdot t}{a}\]
  2. Using strategy rm
  3. Applied clear-num7.7

    \[\leadsto \color{blue}{\frac{1}{\frac{a}{x \cdot y - z \cdot t}}}\]
  4. Final simplification7.7

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

Reproduce

herbie shell --seed 2020066 +o rules:numerics
(FPCore (x y z t a)
  :name "Data.Colour.Matrix:inverse from colour-2.3.3, B"
  :precision binary64

  :herbie-target
  (if (< z -2.468684968699548e+170) (- (* (/ y a) x) (* (/ t a) z)) (if (< z 6.309831121978371e-71) (/ (- (* x y) (* z t)) a) (- (* (/ y a) x) (* (/ t a) z))))

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