\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\begin{array}{l}
\mathbf{if}\;b \leq -2.47012258144473 \cdot 10^{+164}:\\
\;\;\;\;\frac{\left(-b\right) - b}{2 \cdot a}\\
\mathbf{elif}\;b \leq 3.100166812718591 \cdot 10^{-29}:\\
\;\;\;\;\frac{\mathsf{fma}\left(-1, b, \sqrt{b \cdot b - \left(a \cdot 4\right) \cdot c}\right)}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;-\frac{c}{b}\\
\end{array}
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
(FPCore (a b c)
:precision binary64
(if (<= b -2.47012258144473e+164)
(/ (- (- b) b) (* 2.0 a))
(if (<= b 3.100166812718591e-29)
(/ (fma -1.0 b (sqrt (- (* b b) (* (* a 4.0) c)))) (* 2.0 a))
(- (/ c b)))))double code(double a, double b, double c) {
return (-b + sqrt((b * b) - ((4.0 * a) * c))) / (2.0 * a);
}
double code(double a, double b, double c) {
double tmp;
if (b <= -2.47012258144473e+164) {
tmp = (-b - b) / (2.0 * a);
} else if (b <= 3.100166812718591e-29) {
tmp = fma(-1.0, b, sqrt((b * b) - ((a * 4.0) * c))) / (2.0 * a);
} else {
tmp = -(c / b);
}
return tmp;
}




Bits error versus a




Bits error versus b




Bits error versus c
| Original | 31.0 |
|---|---|
| Target | 19.0 |
| Herbie | 9.8 |
if b < -2.47012258144473025e164Initial program 36.5
Taylor expanded in b around -inf 1.6
Simplified1.6
if -2.47012258144473025e164 < b < 3.1001668127185908e-29Initial program 14.1
Applied *-un-lft-identity_binary6414.1
Applied distribute-lft-neg-in_binary6414.1
Applied fma-def_binary6414.1
if 3.1001668127185908e-29 < b Initial program 54.4
Taylor expanded in b around inf 6.9
Simplified6.9
Final simplification9.8
herbie shell --seed 2022088
(FPCore (a b c)
:name "The quadratic formula (r1)"
:precision binary64
:herbie-target
(if (< b 0.0) (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) (/ c (* a (/ (- (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))))
(/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))