Average Error: 0.0 → 0.0
Time: 13.6s
Precision: 64
\[5 \le a \le 10 \land 0.0 \le b \le 0.001000000000000000020816681711721685132943\]
\[\left(a + b\right) \cdot \left(a + b\right)\]
\[\mathsf{fma}\left(2, b \cdot a, \mathsf{fma}\left(a, a, b \cdot b\right)\right)\]
\left(a + b\right) \cdot \left(a + b\right)
\mathsf{fma}\left(2, b \cdot a, \mathsf{fma}\left(a, a, b \cdot b\right)\right)
double f(double a, double b) {
        double r4439301 = a;
        double r4439302 = b;
        double r4439303 = r4439301 + r4439302;
        double r4439304 = r4439303 * r4439303;
        return r4439304;
}

double f(double a, double b) {
        double r4439305 = 2.0;
        double r4439306 = b;
        double r4439307 = a;
        double r4439308 = r4439306 * r4439307;
        double r4439309 = r4439306 * r4439306;
        double r4439310 = fma(r4439307, r4439307, r4439309);
        double r4439311 = fma(r4439305, r4439308, r4439310);
        return r4439311;
}

Error

Bits error versus a

Bits error versus b

Target

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

Derivation

  1. Initial program 0.0

    \[\left(a + b\right) \cdot \left(a + b\right)\]
  2. Taylor expanded around 0 0.0

    \[\leadsto \color{blue}{{a}^{2} + \left({b}^{2} + 2 \cdot \left(a \cdot b\right)\right)}\]
  3. Simplified0.0

    \[\leadsto \color{blue}{\mathsf{fma}\left(2, a \cdot b, \mathsf{fma}\left(a, a, b \cdot b\right)\right)}\]
  4. Final simplification0.0

    \[\leadsto \mathsf{fma}\left(2, b \cdot a, \mathsf{fma}\left(a, a, b \cdot b\right)\right)\]

Reproduce

herbie shell --seed 2019168 +o rules:numerics
(FPCore (a b)
  :name "Expression 4, p15"
  :pre (and (<= 5.0 a 10.0) (<= 0.0 b 0.001))

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

  (* (+ a b) (+ a b)))