Average Error: 0.0 → 0.0
Time: 2.0s
Precision: 64
\[56789 \le a \le 98765 \land 0.0 \le b \le 1 \land 0.0 \le c \le 0.001677300000000000058247850986958837893326 \land 0.0 \le d \le 0.001677300000000000058247850986958837893326\]
\[a \cdot \left(\left(b + c\right) + d\right)\]
\[\mathsf{fma}\left(d, a, \mathsf{fma}\left(a, b, a \cdot c\right)\right)\]
a \cdot \left(\left(b + c\right) + d\right)
\mathsf{fma}\left(d, a, \mathsf{fma}\left(a, b, a \cdot c\right)\right)
double f(double a, double b, double c, double d) {
        double r86985 = a;
        double r86986 = b;
        double r86987 = c;
        double r86988 = r86986 + r86987;
        double r86989 = d;
        double r86990 = r86988 + r86989;
        double r86991 = r86985 * r86990;
        return r86991;
}

double f(double a, double b, double c, double d) {
        double r86992 = d;
        double r86993 = a;
        double r86994 = b;
        double r86995 = c;
        double r86996 = r86993 * r86995;
        double r86997 = fma(r86993, r86994, r86996);
        double r86998 = fma(r86992, r86993, r86997);
        return r86998;
}

Error

Bits error versus a

Bits error versus b

Bits error versus c

Bits error versus d

Target

Original0.0
Target0.0
Herbie0.0
\[a \cdot b + a \cdot \left(c + d\right)\]

Derivation

  1. Initial program 0.0

    \[a \cdot \left(\left(b + c\right) + d\right)\]
  2. Taylor expanded around inf 0.0

    \[\leadsto \color{blue}{d \cdot a + \left(a \cdot b + a \cdot c\right)}\]
  3. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(d, a, \mathsf{fma}\left(a, b, a \cdot c\right)\right)}\]
  4. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(d, a, \mathsf{fma}\left(a, b, a \cdot c\right)\right)\]

Reproduce

herbie shell --seed 2019354 +o rules:numerics
(FPCore (a b c d)
  :name "Expression, p14"
  :precision binary64
  :pre (and (<= 56789 a 98765) (<= 0.0 b 1) (<= 0.0 c 0.0016773) (<= 0.0 d 0.0016773))

  :herbie-target
  (+ (* a b) (* a (+ c d)))

  (* a (+ (+ b c) d)))