Average Error: 0.7 → 0.7
Time: 13.4s
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 r163258 = 1.0;
        double r163259 = x;
        double r163260 = y;
        double r163261 = z;
        double r163262 = r163260 - r163261;
        double r163263 = t;
        double r163264 = r163260 - r163263;
        double r163265 = r163262 * r163264;
        double r163266 = r163259 / r163265;
        double r163267 = r163258 - r163266;
        return r163267;
}
↓
double f(double x, double y, double z, double t) {
        double r163268 = 1.0;
        double r163269 = x;
        double r163270 = y;
        double r163271 = z;
        double r163272 = r163270 - r163271;
        double r163273 = t;
        double r163274 = r163270 - r163273;
        double r163275 = r163272 * r163274;
        double r163276 = r163269 / r163275;
        double r163277 = r163268 - r163276;
        return r163277;
}

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 2019325 
(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)))))