Average Error: 34.1 → 10.3
Time: 5.6s
Precision: binary64
\[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
\[\begin{array}{l} \mathbf{if}\;b \leq -6.2 \cdot 10^{-87}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq 1.65 \cdot 10^{+109}:\\ \;\;\;\;\frac{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot -0.5}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{-b}{a}\\ \end{array} \]
(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 -6.2e-87)
   (/ (- c) b)
   (if (<= b 1.65e+109)
     (/ (* (+ b (sqrt (fma a (* c -4.0) (* b b)))) -0.5) a)
     (/ (- b) a))))
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 <= -6.2e-87) {
		tmp = -c / b;
	} else if (b <= 1.65e+109) {
		tmp = ((b + sqrt(fma(a, (c * -4.0), (b * b)))) * -0.5) / a;
	} else {
		tmp = -b / a;
	}
	return tmp;
}
function code(a, b, c)
	return Float64(Float64(Float64(-b) - sqrt(Float64(Float64(b * b) - Float64(4.0 * Float64(a * c))))) / Float64(2.0 * a))
end
function code(a, b, c)
	tmp = 0.0
	if (b <= -6.2e-87)
		tmp = Float64(Float64(-c) / b);
	elseif (b <= 1.65e+109)
		tmp = Float64(Float64(Float64(b + sqrt(fma(a, Float64(c * -4.0), Float64(b * b)))) * -0.5) / a);
	else
		tmp = Float64(Float64(-b) / a);
	end
	return tmp
end
code[a_, b_, c_] := N[(N[((-b) - N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
code[a_, b_, c_] := If[LessEqual[b, -6.2e-87], N[((-c) / b), $MachinePrecision], If[LessEqual[b, 1.65e+109], N[(N[(N[(b + N[Sqrt[N[(a * N[(c * -4.0), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * -0.5), $MachinePrecision] / a), $MachinePrecision], N[((-b) / a), $MachinePrecision]]]
\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a}
\begin{array}{l}
\mathbf{if}\;b \leq -6.2 \cdot 10^{-87}:\\
\;\;\;\;\frac{-c}{b}\\

\mathbf{elif}\;b \leq 1.65 \cdot 10^{+109}:\\
\;\;\;\;\frac{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot -0.5}{a}\\

\mathbf{else}:\\
\;\;\;\;\frac{-b}{a}\\


\end{array}

Error

Target

Original34.1
Target20.7
Herbie10.3
\[\begin{array}{l} \mathbf{if}\;b < 0:\\ \;\;\;\;\frac{c}{a \cdot \frac{\left(-b\right) + \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a}\\ \end{array} \]

Derivation

  1. Split input into 3 regimes
  2. if b < -6.19999999999999995e-87

    1. Initial program 52.4

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Simplified52.4

      \[\leadsto \color{blue}{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot \frac{-0.5}{a}} \]
    3. Taylor expanded in b around -inf 10.0

      \[\leadsto \color{blue}{-1 \cdot \frac{c}{b}} \]
    4. Simplified10.0

      \[\leadsto \color{blue}{\frac{-c}{b}} \]

    if -6.19999999999999995e-87 < b < 1.6499999999999999e109

    1. Initial program 12.6

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Simplified12.6

      \[\leadsto \color{blue}{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot \frac{-0.5}{a}} \]
    3. Applied egg-rr12.5

      \[\leadsto \color{blue}{\frac{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot -0.5}{a}} \]

    if 1.6499999999999999e109 < b

    1. Initial program 48.4

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Taylor expanded in b around inf 4.0

      \[\leadsto \color{blue}{-1 \cdot \frac{b}{a}} \]
    3. Simplified4.0

      \[\leadsto \color{blue}{\frac{-b}{a}} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification10.3

    \[\leadsto \begin{array}{l} \mathbf{if}\;b \leq -6.2 \cdot 10^{-87}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq 1.65 \cdot 10^{+109}:\\ \;\;\;\;\frac{\left(b + \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right) \cdot -0.5}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{-b}{a}\\ \end{array} \]

Reproduce

herbie shell --seed 2022210 
(FPCore (a b c)
  :name "quadm (p42, negative)"
  :precision binary64

  :herbie-target
  (if (< b 0.0) (/ c (* a (/ (+ (- b) (sqrt (- (* b b) (* 4.0 (* a c))))) (* 2.0 a)))) (/ (- (- b) (sqrt (- (* b b) (* 4.0 (* a c))))) (* 2.0 a)))

  (/ (- (- b) (sqrt (- (* b b) (* 4.0 (* a c))))) (* 2.0 a)))