quadm (p42, negative)

?

Percentage Accurate: 51.2% → 87.3%
Time: 17.5s
Precision: binary64
Cost: 14408

?

\[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
\[\begin{array}{l} \mathbf{if}\;b \leq -1.85 \cdot 10^{+89}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq -3 \cdot 10^{-112}:\\ \;\;\;\;-0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{c \cdot \left(a \cdot 4\right)}}}{a}\\ \mathbf{elif}\;b \leq 5.5 \cdot 10^{+100}:\\ \;\;\;\;-0.5 \cdot \frac{b + \sqrt{b \cdot b - a \cdot \left(c \cdot 4\right)}}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]
(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 -1.85e+89)
   (/ (- c) b)
   (if (<= b -3e-112)
     (*
      -0.5
      (/
       (/ 1.0 (/ (- b (sqrt (fma a (* c -4.0) (* b b)))) (* c (* a 4.0))))
       a))
     (if (<= b 5.5e+100)
       (* -0.5 (/ (+ b (sqrt (- (* b b) (* a (* c 4.0))))) a))
       (- (/ c b) (/ 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 <= -1.85e+89) {
		tmp = -c / b;
	} else if (b <= -3e-112) {
		tmp = -0.5 * ((1.0 / ((b - sqrt(fma(a, (c * -4.0), (b * b)))) / (c * (a * 4.0)))) / a);
	} else if (b <= 5.5e+100) {
		tmp = -0.5 * ((b + sqrt(((b * b) - (a * (c * 4.0))))) / a);
	} else {
		tmp = (c / b) - (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 <= -1.85e+89)
		tmp = Float64(Float64(-c) / b);
	elseif (b <= -3e-112)
		tmp = Float64(-0.5 * Float64(Float64(1.0 / Float64(Float64(b - sqrt(fma(a, Float64(c * -4.0), Float64(b * b)))) / Float64(c * Float64(a * 4.0)))) / a));
	elseif (b <= 5.5e+100)
		tmp = Float64(-0.5 * Float64(Float64(b + sqrt(Float64(Float64(b * b) - Float64(a * Float64(c * 4.0))))) / a));
	else
		tmp = Float64(Float64(c / b) - 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, -1.85e+89], N[((-c) / b), $MachinePrecision], If[LessEqual[b, -3e-112], N[(-0.5 * N[(N[(1.0 / N[(N[(b - N[Sqrt[N[(a * N[(c * -4.0), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(c * N[(a * 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], If[LessEqual[b, 5.5e+100], N[(-0.5 * N[(N[(b + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(a * N[(c * 4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(c / b), $MachinePrecision] - N[(b / a), $MachinePrecision]), $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 -1.85 \cdot 10^{+89}:\\
\;\;\;\;\frac{-c}{b}\\

\mathbf{elif}\;b \leq -3 \cdot 10^{-112}:\\
\;\;\;\;-0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{c \cdot \left(a \cdot 4\right)}}}{a}\\

\mathbf{elif}\;b \leq 5.5 \cdot 10^{+100}:\\
\;\;\;\;-0.5 \cdot \frac{b + \sqrt{b \cdot b - a \cdot \left(c \cdot 4\right)}}{a}\\

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


\end{array}

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Herbie found 8 alternatives:

AlternativeAccuracySpeedup

Accuracy vs Speed

The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Bogosity?

Bogosity

Target

Original51.2%
Target69.9%
Herbie87.3%
\[\begin{array}{l} \mathbf{if}\;b < 0:\\ \;\;\;\;\frac{c}{a \cdot \frac{\left(-b\right) + \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a}}\\ \mathbf{else}:\\ \;\;\;\;\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a}\\ \end{array} \]

Derivation?

  1. Split input into 4 regimes
  2. if b < -1.8499999999999999e89

    1. Initial program 8.1%

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Taylor expanded in b around -inf 93.0%

      \[\leadsto \color{blue}{-1 \cdot \frac{c}{b}} \]
    3. Simplified93.0%

      \[\leadsto \color{blue}{\frac{-c}{b}} \]
      Step-by-step derivation

      [Start]93.0%

      \[ -1 \cdot \frac{c}{b} \]

      associate-*r/ [=>]93.0%

      \[ \color{blue}{\frac{-1 \cdot c}{b}} \]

      neg-mul-1 [<=]93.0%

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

    if -1.8499999999999999e89 < b < -3.0000000000000001e-112

    1. Initial program 41.2%

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Simplified41.2%

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

      [Start]41.2%

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

      /-rgt-identity [<=]41.2%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\color{blue}{\frac{2 \cdot a}{1}}} \]

      metadata-eval [<=]41.2%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{2 \cdot a}{\color{blue}{--1}}} \]

      associate-/l* [=>]41.1%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\color{blue}{\frac{2}{\frac{--1}{a}}}} \]

      associate-/r/ [=>]41.1%

      \[ \color{blue}{\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \cdot \frac{--1}{a}} \]

      *-commutative [<=]41.1%

      \[ \color{blue}{\frac{--1}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2}} \]

      metadata-eval [=>]41.1%

      \[ \frac{\color{blue}{1}}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      metadata-eval [<=]41.1%

      \[ \frac{\color{blue}{-1 \cdot -1}}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      associate-*l/ [<=]41.1%

      \[ \color{blue}{\left(\frac{-1}{a} \cdot -1\right)} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      associate-/r/ [<=]41.1%

      \[ \color{blue}{\frac{-1}{\frac{a}{-1}}} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      times-frac [<=]41.2%

      \[ \color{blue}{\frac{-1 \cdot \left(\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}\right)}{\frac{a}{-1} \cdot 2}} \]

      *-commutative [<=]41.2%

      \[ \frac{-1 \cdot \left(\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}\right)}{\color{blue}{2 \cdot \frac{a}{-1}}} \]

      times-frac [=>]41.2%

      \[ \color{blue}{\frac{-1}{2} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{a}{-1}}} \]

      metadata-eval [=>]41.2%

      \[ \color{blue}{-0.5} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{a}{-1}} \]

      associate-/r/ [=>]41.2%

      \[ -0.5 \cdot \color{blue}{\left(\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a} \cdot -1\right)} \]

      *-commutative [<=]41.2%

      \[ -0.5 \cdot \color{blue}{\left(-1 \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a}\right)} \]

      div-sub [=>]40.9%

      \[ -0.5 \cdot \left(-1 \cdot \color{blue}{\left(\frac{-b}{a} - \frac{\sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a}\right)}\right) \]
    3. Applied egg-rr40.8%

      \[\leadsto -0.5 \cdot \frac{\color{blue}{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{b \cdot b - \mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}}}{a} \]
      Step-by-step derivation

      [Start]41.2%

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

      flip-+ [=>]40.9%

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

      clear-num [=>]40.9%

      \[ -0.5 \cdot \frac{\color{blue}{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{b \cdot b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)} \cdot \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}}}}{a} \]

      add-sqr-sqrt [<=]40.8%

      \[ -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{b \cdot b - \color{blue}{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}}}{a} \]
    4. Taylor expanded in b around 0 86.1%

      \[\leadsto -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{\color{blue}{4 \cdot \left(c \cdot a\right)}}}}{a} \]
    5. Simplified86.1%

      \[\leadsto -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{\color{blue}{c \cdot \left(4 \cdot a\right)}}}}{a} \]
      Step-by-step derivation

      [Start]86.1%

      \[ -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{4 \cdot \left(c \cdot a\right)}}}{a} \]

      associate-*r* [=>]86.1%

      \[ -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{\color{blue}{\left(4 \cdot c\right) \cdot a}}}}{a} \]

      *-commutative [<=]86.1%

      \[ -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{\color{blue}{\left(c \cdot 4\right)} \cdot a}}}{a} \]

      associate-*l* [=>]86.1%

      \[ -0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{\color{blue}{c \cdot \left(4 \cdot a\right)}}}}{a} \]

    if -3.0000000000000001e-112 < b < 5.5000000000000002e100

    1. Initial program 80.2%

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Simplified80.2%

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

      [Start]80.2%

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

      /-rgt-identity [<=]80.2%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\color{blue}{\frac{2 \cdot a}{1}}} \]

      metadata-eval [<=]80.2%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{2 \cdot a}{\color{blue}{--1}}} \]

      associate-/l* [=>]80.1%

      \[ \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\color{blue}{\frac{2}{\frac{--1}{a}}}} \]

      associate-/r/ [=>]80.1%

      \[ \color{blue}{\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \cdot \frac{--1}{a}} \]

      *-commutative [<=]80.1%

      \[ \color{blue}{\frac{--1}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2}} \]

      metadata-eval [=>]80.1%

      \[ \frac{\color{blue}{1}}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      metadata-eval [<=]80.1%

      \[ \frac{\color{blue}{-1 \cdot -1}}{a} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      associate-*l/ [<=]80.1%

      \[ \color{blue}{\left(\frac{-1}{a} \cdot -1\right)} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      associate-/r/ [<=]80.1%

      \[ \color{blue}{\frac{-1}{\frac{a}{-1}}} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2} \]

      times-frac [<=]80.2%

      \[ \color{blue}{\frac{-1 \cdot \left(\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}\right)}{\frac{a}{-1} \cdot 2}} \]

      *-commutative [<=]80.2%

      \[ \frac{-1 \cdot \left(\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}\right)}{\color{blue}{2 \cdot \frac{a}{-1}}} \]

      times-frac [=>]80.2%

      \[ \color{blue}{\frac{-1}{2} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{a}{-1}}} \]

      metadata-eval [=>]80.2%

      \[ \color{blue}{-0.5} \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{\frac{a}{-1}} \]

      associate-/r/ [=>]80.2%

      \[ -0.5 \cdot \color{blue}{\left(\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a} \cdot -1\right)} \]

      *-commutative [<=]80.2%

      \[ -0.5 \cdot \color{blue}{\left(-1 \cdot \frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a}\right)} \]

      div-sub [=>]80.3%

      \[ -0.5 \cdot \left(-1 \cdot \color{blue}{\left(\frac{-b}{a} - \frac{\sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{a}\right)}\right) \]
    3. Applied egg-rr80.2%

      \[\leadsto -0.5 \cdot \frac{b + \sqrt{\color{blue}{b \cdot b - a \cdot \left(c \cdot 4\right)}}}{a} \]
      Step-by-step derivation

      [Start]80.2%

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

      fma-udef [=>]80.2%

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

      associate-*r* [=>]80.2%

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

      metadata-eval [<=]80.2%

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

      distribute-rgt-neg-in [<=]80.2%

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

      *-commutative [<=]80.2%

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

      +-commutative [=>]80.2%

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

      sub-neg [<=]80.2%

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

      *-commutative [=>]80.2%

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

      associate-*l* [=>]80.2%

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

    if 5.5000000000000002e100 < b

    1. Initial program 53.6%

      \[\frac{\left(-b\right) - \sqrt{b \cdot b - 4 \cdot \left(a \cdot c\right)}}{2 \cdot a} \]
    2. Taylor expanded in b around inf 93.3%

      \[\leadsto \color{blue}{\frac{c}{b} + -1 \cdot \frac{b}{a}} \]
    3. Simplified93.3%

      \[\leadsto \color{blue}{\frac{c}{b} - \frac{b}{a}} \]
      Step-by-step derivation

      [Start]93.3%

      \[ \frac{c}{b} + -1 \cdot \frac{b}{a} \]

      mul-1-neg [=>]93.3%

      \[ \frac{c}{b} + \color{blue}{\left(-\frac{b}{a}\right)} \]

      unsub-neg [=>]93.3%

      \[ \color{blue}{\frac{c}{b} - \frac{b}{a}} \]
  3. Recombined 4 regimes into one program.
  4. Final simplification86.9%

    \[\leadsto \begin{array}{l} \mathbf{if}\;b \leq -1.85 \cdot 10^{+89}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq -3 \cdot 10^{-112}:\\ \;\;\;\;-0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{c \cdot \left(a \cdot 4\right)}}}{a}\\ \mathbf{elif}\;b \leq 5.5 \cdot 10^{+100}:\\ \;\;\;\;-0.5 \cdot \frac{b + \sqrt{b \cdot b - a \cdot \left(c \cdot 4\right)}}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]

Alternatives

Alternative 1
Accuracy87.3%
Cost14408
\[\begin{array}{l} \mathbf{if}\;b \leq -1.85 \cdot 10^{+89}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq -3 \cdot 10^{-112}:\\ \;\;\;\;-0.5 \cdot \frac{\frac{1}{\frac{b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}}{c \cdot \left(a \cdot 4\right)}}}{a}\\ \mathbf{elif}\;b \leq 5.5 \cdot 10^{+100}:\\ \;\;\;\;-0.5 \cdot \frac{b + \sqrt{b \cdot b - a \cdot \left(c \cdot 4\right)}}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]
Alternative 2
Accuracy85.3%
Cost7624
\[\begin{array}{l} \mathbf{if}\;b \leq -1.2 \cdot 10^{-23}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq 2 \cdot 10^{+99}:\\ \;\;\;\;-0.5 \cdot \frac{b + \sqrt{b \cdot b - a \cdot \left(c \cdot 4\right)}}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]
Alternative 3
Accuracy80.8%
Cost7368
\[\begin{array}{l} \mathbf{if}\;b \leq -9 \cdot 10^{-24}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{elif}\;b \leq 7.5 \cdot 10^{-91}:\\ \;\;\;\;-0.5 \cdot \frac{b + \sqrt{-4 \cdot \left(c \cdot a\right)}}{a}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]
Alternative 4
Accuracy68.6%
Cost580
\[\begin{array}{l} \mathbf{if}\;b \leq -1 \cdot 10^{-310}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{c}{b} - \frac{b}{a}\\ \end{array} \]
Alternative 5
Accuracy43.5%
Cost388
\[\begin{array}{l} \mathbf{if}\;b \leq -3.8 \cdot 10^{+44}:\\ \;\;\;\;\frac{c}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{-b}{a}\\ \end{array} \]
Alternative 6
Accuracy68.4%
Cost388
\[\begin{array}{l} \mathbf{if}\;b \leq -2.6 \cdot 10^{-266}:\\ \;\;\;\;\frac{-c}{b}\\ \mathbf{else}:\\ \;\;\;\;\frac{-b}{a}\\ \end{array} \]
Alternative 7
Accuracy2.5%
Cost192
\[\frac{b}{a} \]
Alternative 8
Accuracy11.1%
Cost192
\[\frac{c}{b} \]

Reproduce?

herbie shell --seed 2023263 
(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)))