Average Error: 0.7 → 0.7
Time: 4.4s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
double f(double x, double y, double z, double t) {
        double r214083 = 1.0;
        double r214084 = x;
        double r214085 = y;
        double r214086 = z;
        double r214087 = r214085 - r214086;
        double r214088 = t;
        double r214089 = r214085 - r214088;
        double r214090 = r214087 * r214089;
        double r214091 = r214084 / r214090;
        double r214092 = r214083 - r214091;
        return r214092;
}
↓
double f(double x, double y, double z, double t) {
        double r214093 = 1.0;
        double r214094 = x;
        double r214095 = y;
        double r214096 = z;
        double r214097 = r214095 - r214096;
        double r214098 = t;
        double r214099 = r214095 - r214098;
        double r214100 = r214097 * r214099;
        double r214101 = r214094 / r214100;
        double r214102 = r214093 - r214101;
        return r214102;
}

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

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

  2. Final simplification0.7

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

Reproduce

herbie shell --seed 2020046 +o rules:numerics
(FPCore (x y z t)
  :name "Data.Random.Distribution.Triangular:triangularCDF from random-fu-0.2.6.2, A"
  :precision binary64
  (- 1 (/ x (* (- y z) (- y t)))))