Average Error: 0.7 → 0.7
Time: 14.9s
Precision: 64
\[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]
1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}
double f(double x, double y, double z, double t) {
        double r8932314 = 1.0;
        double r8932315 = x;
        double r8932316 = y;
        double r8932317 = z;
        double r8932318 = r8932316 - r8932317;
        double r8932319 = t;
        double r8932320 = r8932316 - r8932319;
        double r8932321 = r8932318 * r8932320;
        double r8932322 = r8932315 / r8932321;
        double r8932323 = r8932314 - r8932322;
        return r8932323;
}
↓
double f(double x, double y, double z, double t) {
        double r8932324 = 1.0;
        double r8932325 = x;
        double r8932326 = y;
        double r8932327 = t;
        double r8932328 = r8932326 - r8932327;
        double r8932329 = z;
        double r8932330 = r8932326 - r8932329;
        double r8932331 = r8932328 * r8932330;
        double r8932332 = r8932325 / r8932331;
        double r8932333 = r8932324 - r8932332;
        return r8932333;
}

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

Derivation

  1. Initial program 0.7

    \[1.0 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]

  2. Final simplification0.7

    \[\leadsto 1.0 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]

Reproduce

herbie shell --seed 2019163 
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  (- 1.0 (/ x (* (- y z) (- y t)))))