Average Error: 0.7 → 0.7
Time: 19.2s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}
double f(double x, double y, double z, double t) {
        double r9997216 = 1.0;
        double r9997217 = x;
        double r9997218 = y;
        double r9997219 = z;
        double r9997220 = r9997218 - r9997219;
        double r9997221 = t;
        double r9997222 = r9997218 - r9997221;
        double r9997223 = r9997220 * r9997222;
        double r9997224 = r9997217 / r9997223;
        double r9997225 = r9997216 - r9997224;
        return r9997225;
}
↓
double f(double x, double y, double z, double t) {
        double r9997226 = 1.0;
        double r9997227 = x;
        double r9997228 = y;
        double r9997229 = t;
        double r9997230 = r9997228 - r9997229;
        double r9997231 = z;
        double r9997232 = r9997228 - r9997231;
        double r9997233 = r9997230 * r9997232;
        double r9997234 = r9997227 / r9997233;
        double r9997235 = r9997226 - r9997234;
        return r9997235;
}

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

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

Reproduce

herbie shell --seed 2019179 +o rules:numerics
(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)))))