Average Error: 0.0 → 0.0
Time: 10.8s
Precision: 64
\[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b\]
↓
\[\mathsf{fma}\left(b, \left(y + t\right) - 2, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(a, 1 - t, x\right)\right)\right)\]
\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b
↓
\mathsf{fma}\left(b, \left(y + t\right) - 2, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(a, 1 - t, x\right)\right)\right)
double f(double x, double y, double z, double t, double a, double b) {
        double r24522 = x;
        double r24523 = y;
        double r24524 = 1.0;
        double r24525 = r24523 - r24524;
        double r24526 = z;
        double r24527 = r24525 * r24526;
        double r24528 = r24522 - r24527;
        double r24529 = t;
        double r24530 = r24529 - r24524;
        double r24531 = a;
        double r24532 = r24530 * r24531;
        double r24533 = r24528 - r24532;
        double r24534 = r24523 + r24529;
        double r24535 = 2.0;
        double r24536 = r24534 - r24535;
        double r24537 = b;
        double r24538 = r24536 * r24537;
        double r24539 = r24533 + r24538;
        return r24539;
}
↓
double f(double x, double y, double z, double t, double a, double b) {
        double r24540 = b;
        double r24541 = y;
        double r24542 = t;
        double r24543 = r24541 + r24542;
        double r24544 = 2.0;
        double r24545 = r24543 - r24544;
        double r24546 = 1.0;
        double r24547 = r24546 - r24541;
        double r24548 = z;
        double r24549 = a;
        double r24550 = r24546 - r24542;
        double r24551 = x;
        double r24552 = fma(r24549, r24550, r24551);
        double r24553 = fma(r24547, r24548, r24552);
        double r24554 = fma(r24540, r24545, r24553);
        return r24554;
}

Error

Bits error versus x

Bits error versus y

Bits error versus z

Bits error versus t

Bits error versus a

Bits error versus b

Derivation

  1. Initial program 0.0

    \[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b\]

  2. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(b, \left(y + t\right) - 2, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(a, 1 - t, x\right)\right)\right)}\]

  3. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(b, \left(y + t\right) - 2, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(a, 1 - t, x\right)\right)\right)\]

Reproduce

herbie shell --seed 2019326 +o rules:numerics
(FPCore (x y z t a b)
  :name "Statistics.Distribution.Beta:$centropy from math-functions-0.1.5.2"
  :precision binary64
  (+ (- (- x (* (- y 1) z)) (* (- t 1) a)) (* (- (+ y t) 2) b)))