Average Error: 0.7 → 0.7
Time: 32.2s
Precision: 64
\[1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}\]
↓
\[1 - \frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}\]
1 - \frac{x}{\left(y - z\right) \cdot \left(y - t\right)}
↓
1 - \frac{1}{\frac{\left(y - z\right) \cdot \left(y - t\right)}{x}}
double f(double x, double y, double z, double t) {
        double r235450 = 1.0;
        double r235451 = x;
        double r235452 = y;
        double r235453 = z;
        double r235454 = r235452 - r235453;
        double r235455 = t;
        double r235456 = r235452 - r235455;
        double r235457 = r235454 * r235456;
        double r235458 = r235451 / r235457;
        double r235459 = r235450 - r235458;
        return r235459;
}
↓
double f(double x, double y, double z, double t) {
        double r235460 = 1.0;
        double r235461 = 1.0;
        double r235462 = y;
        double r235463 = z;
        double r235464 = r235462 - r235463;
        double r235465 = t;
        double r235466 = r235462 - r235465;
        double r235467 = r235464 * r235466;
        double r235468 = x;
        double r235469 = r235467 / r235468;
        double r235470 = r235461 / r235469;
        double r235471 = r235460 - r235470;
        return r235471;
}

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. Using strategy rm

  3. Applied clear-num0.7

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

  4. Final simplification0.7

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

Reproduce

herbie shell --seed 2019199 
(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)))))