(FPCore (a b_2 c) :precision binary64 (/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a))
(FPCore (a b_2 c)
:precision binary64
(if (<= b_2 -6.647573847109141e-44)
(* -0.5 (/ c b_2))
(if (<= b_2 6.1115744018599626e+78)
(- (/ (- b_2) a) (/ (sqrt (- (* b_2 b_2) (* c a))) a))
(fma (/ b_2 a) -2.0 (* (/ c b_2) 0.5)))))double code(double a, double b_2, double c) {
return (-b_2 - sqrt(((b_2 * b_2) - (a * c)))) / a;
}
double code(double a, double b_2, double c) {
double tmp;
if (b_2 <= -6.647573847109141e-44) {
tmp = -0.5 * (c / b_2);
} else if (b_2 <= 6.1115744018599626e+78) {
tmp = (-b_2 / a) - (sqrt(((b_2 * b_2) - (c * a))) / a);
} else {
tmp = fma((b_2 / a), -2.0, ((c / b_2) * 0.5));
}
return tmp;
}
function code(a, b_2, c) return Float64(Float64(Float64(-b_2) - sqrt(Float64(Float64(b_2 * b_2) - Float64(a * c)))) / a) end
function code(a, b_2, c) tmp = 0.0 if (b_2 <= -6.647573847109141e-44) tmp = Float64(-0.5 * Float64(c / b_2)); elseif (b_2 <= 6.1115744018599626e+78) tmp = Float64(Float64(Float64(-b_2) / a) - Float64(sqrt(Float64(Float64(b_2 * b_2) - Float64(c * a))) / a)); else tmp = fma(Float64(b_2 / a), -2.0, Float64(Float64(c / b_2) * 0.5)); end return tmp end
code[a_, b$95$2_, c_] := N[(N[((-b$95$2) - N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(a * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]
code[a_, b$95$2_, c_] := If[LessEqual[b$95$2, -6.647573847109141e-44], N[(-0.5 * N[(c / b$95$2), $MachinePrecision]), $MachinePrecision], If[LessEqual[b$95$2, 6.1115744018599626e+78], N[(N[((-b$95$2) / a), $MachinePrecision] - N[(N[Sqrt[N[(N[(b$95$2 * b$95$2), $MachinePrecision] - N[(c * a), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(b$95$2 / a), $MachinePrecision] * -2.0 + N[(N[(c / b$95$2), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]]]
\frac{\left(-b_2\right) - \sqrt{b_2 \cdot b_2 - a \cdot c}}{a}
\begin{array}{l}
\mathbf{if}\;b_2 \leq -6.647573847109141 \cdot 10^{-44}:\\
\;\;\;\;-0.5 \cdot \frac{c}{b_2}\\
\mathbf{elif}\;b_2 \leq 6.1115744018599626 \cdot 10^{+78}:\\
\;\;\;\;\frac{-b_2}{a} - \frac{\sqrt{b_2 \cdot b_2 - c \cdot a}}{a}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{b_2}{a}, -2, \frac{c}{b_2} \cdot 0.5\right)\\
\end{array}



Bits error versus a



Bits error versus b_2



Bits error versus c
if b_2 < -6.6475738471091406e-44Initial program 54.1
Taylor expanded in b_2 around -inf 7.7
if -6.6475738471091406e-44 < b_2 < 6.11157440185996259e78Initial program 15.2
Applied egg-rr15.4
Applied egg-rr15.2
if 6.11157440185996259e78 < b_2 Initial program 42.2
Applied egg-rr42.3
Taylor expanded in b_2 around inf 5.5
Simplified5.5
Final simplification10.8
herbie shell --seed 2022148
(FPCore (a b_2 c)
:name "quad2m (problem 3.2.1, negative)"
:precision binary64
(/ (- (- b_2) (sqrt (- (* b_2 b_2) (* a c)))) a))