Average Error: 0.7 → 0.7
Time: 16.7s
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 r145370 = 1.0;
        double r145371 = x;
        double r145372 = y;
        double r145373 = z;
        double r145374 = r145372 - r145373;
        double r145375 = t;
        double r145376 = r145372 - r145375;
        double r145377 = r145374 * r145376;
        double r145378 = r145371 / r145377;
        double r145379 = r145370 - r145378;
        return r145379;
}

double f(double x, double y, double z, double t) {
        double r145380 = 1.0;
        double r145381 = x;
        double r145382 = y;
        double r145383 = z;
        double r145384 = r145382 - r145383;
        double r145385 = t;
        double r145386 = r145382 - r145385;
        double r145387 = r145384 * r145386;
        double r145388 = r145381 / r145387;
        double r145389 = r145380 - r145388;
        return r145389;
}

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. Simplified0.7

    \[\leadsto \color{blue}{1 - \frac{x}{\left(y - t\right) \cdot \left(y - z\right)}}\]
  3. Final simplification0.7

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

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)))))