Average Error: 7.7 → 2.4
Time: 4.3s
Precision: binary64
\[\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}\]
↓
\[\frac{\frac{1}{y - z}}{\left(t - z\right) \cdot \frac{1}{x}}\]
\frac{x}{\left(y - z\right) \cdot \left(t - z\right)}
↓
\frac{\frac{1}{y - z}}{\left(t - z\right) \cdot \frac{1}{x}}
double code(double x, double y, double z, double t) {
	return ((double) (x / ((double) (((double) (y - z)) * ((double) (t - z))))));
}
↓
double code(double x, double y, double z, double t) {
	return ((double) (((double) (1.0 / ((double) (y - z)))) / ((double) (((double) (t - z)) * ((double) (1.0 / x))))));
}

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

Original7.7
Target8.4
Herbie2.4
\[\begin{array}{l} \mathbf{if}\;\frac{x}{\left(y - z\right) \cdot \left(t - z\right)} \lt 0.0:\\ \;\;\;\;\frac{\frac{x}{y - z}}{t - z}\\ \mathbf{else}:\\ \;\;\;\;x \cdot \frac{1}{\left(y - z\right) \cdot \left(t - z\right)}\\ \end{array}\]

Derivation

  1. Initial program 7.7

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

  3. Applied *-un-lft-identity7.7

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

  4. Applied times-frac2.4

    \[\leadsto \color{blue}{\frac{1}{y - z} \cdot \frac{x}{t - z}}\]
  5. Using strategy rm

  6. Applied clear-num2.5

    \[\leadsto \frac{1}{y - z} \cdot \color{blue}{\frac{1}{\frac{t - z}{x}}}\]
  7. Using strategy rm

  8. Applied un-div-inv2.4

    \[\leadsto \color{blue}{\frac{\frac{1}{y - z}}{\frac{t - z}{x}}}\]
  9. Using strategy rm

  10. Applied div-inv2.4

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

  11. Final simplification2.4

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

Reproduce

herbie shell --seed 2020173 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, B"
  :precision binary64

  :herbie-target
  (if (< (/ x (* (- y z) (- t z))) 0.0) (/ (/ x (- y z)) (- t z)) (* x (/ 1.0 (* (- y z) (- t z)))))

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