
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((4.0d0 * a) * c)))) / (2.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((4.0d0 * a) * c)))) / (2.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\end{array}
(FPCore (a b c) :precision binary64 (/ (* (/ (* c a) a) -2.0) (+ b (sqrt (fma b b (* (* c a) -4.0))))))
double code(double a, double b, double c) {
return (((c * a) / a) * -2.0) / (b + sqrt(fma(b, b, ((c * a) * -4.0))));
}
function code(a, b, c) return Float64(Float64(Float64(Float64(c * a) / a) * -2.0) / Float64(b + sqrt(fma(b, b, Float64(Float64(c * a) * -4.0))))) end
code[a_, b_, c_] := N[(N[(N[(N[(c * a), $MachinePrecision] / a), $MachinePrecision] * -2.0), $MachinePrecision] / N[(b + N[Sqrt[N[(b * b + N[(N[(c * a), $MachinePrecision] * -4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{c \cdot a}{a} \cdot -2}{b + \sqrt{\mathsf{fma}\left(b, b, \left(c \cdot a\right) \cdot -4\right)}}
\end{array}
Initial program 56.9%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lift-*.f64N/A
div-subN/A
lower--.f64N/A
Applied egg-rr56.2%
Applied egg-rr99.5%
Applied egg-rr99.5%
Final simplification99.5%
(FPCore (a b c) :precision binary64 (if (<= b 0.19) (/ (- (sqrt (fma b b (* a (* c -4.0)))) b) (* a 2.0)) (/ -1.0 (- (/ b c) (* a (/ (fma b b (* c a)) (* b (* b b))))))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.19) {
tmp = (sqrt(fma(b, b, (a * (c * -4.0)))) - b) / (a * 2.0);
} else {
tmp = -1.0 / ((b / c) - (a * (fma(b, b, (c * a)) / (b * (b * b)))));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.19) tmp = Float64(Float64(sqrt(fma(b, b, Float64(a * Float64(c * -4.0)))) - b) / Float64(a * 2.0)); else tmp = Float64(-1.0 / Float64(Float64(b / c) - Float64(a * Float64(fma(b, b, Float64(c * a)) / Float64(b * Float64(b * b)))))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.19], N[(N[(N[Sqrt[N[(b * b + N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a * 2.0), $MachinePrecision]), $MachinePrecision], N[(-1.0 / N[(N[(b / c), $MachinePrecision] - N[(a * N[(N[(b * b + N[(c * a), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.19:\\
\;\;\;\;\frac{\sqrt{\mathsf{fma}\left(b, b, a \cdot \left(c \cdot -4\right)\right)} - b}{a \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{b}{c} - a \cdot \frac{\mathsf{fma}\left(b, b, c \cdot a\right)}{b \cdot \left(b \cdot b\right)}}\\
\end{array}
\end{array}
if b < 0.19Initial program 89.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval89.8
Applied egg-rr89.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-/.f6489.8
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6489.8
lift-*.f64N/A
*-commutativeN/A
lower-*.f6489.8
lift-*.f64N/A
Applied egg-rr89.8%
if 0.19 < b Initial program 53.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval53.8
Applied egg-rr53.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
flip-+N/A
lift-*.f64N/A
associate-/l/N/A
clear-numN/A
lower-/.f64N/A
Applied egg-rr54.8%
Taylor expanded in a around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
lower-/.f64N/A
lower-/.f6491.6
Simplified91.6%
Taylor expanded in b around 0
lower-/.f64N/A
+-commutativeN/A
unpow2N/A
lower-fma.f64N/A
lower-*.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6491.6
Simplified91.6%
Final simplification91.4%
(FPCore (a b c) :precision binary64 (/ (* (* c a) 4.0) (* (- (- b) (sqrt (fma b b (* (* c a) -4.0)))) (* a 2.0))))
double code(double a, double b, double c) {
return ((c * a) * 4.0) / ((-b - sqrt(fma(b, b, ((c * a) * -4.0)))) * (a * 2.0));
}
function code(a, b, c) return Float64(Float64(Float64(c * a) * 4.0) / Float64(Float64(Float64(-b) - sqrt(fma(b, b, Float64(Float64(c * a) * -4.0)))) * Float64(a * 2.0))) end
code[a_, b_, c_] := N[(N[(N[(c * a), $MachinePrecision] * 4.0), $MachinePrecision] / N[(N[((-b) - N[Sqrt[N[(b * b + N[(N[(c * a), $MachinePrecision] * -4.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(a * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(c \cdot a\right) \cdot 4}{\left(\left(-b\right) - \sqrt{\mathsf{fma}\left(b, b, \left(c \cdot a\right) \cdot -4\right)}\right) \cdot \left(a \cdot 2\right)}
\end{array}
Initial program 56.9%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lift-*.f64N/A
div-subN/A
lower--.f64N/A
Applied egg-rr56.2%
Applied egg-rr99.5%
Applied egg-rr99.3%
Final simplification99.3%
(FPCore (a b c) :precision binary64 (if (<= b 0.19) (/ (- (sqrt (fma b b (* a (* c -4.0)))) b) (* a 2.0)) (/ -1.0 (- (/ b c) (/ a b)))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.19) {
tmp = (sqrt(fma(b, b, (a * (c * -4.0)))) - b) / (a * 2.0);
} else {
tmp = -1.0 / ((b / c) - (a / b));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.19) tmp = Float64(Float64(sqrt(fma(b, b, Float64(a * Float64(c * -4.0)))) - b) / Float64(a * 2.0)); else tmp = Float64(-1.0 / Float64(Float64(b / c) - Float64(a / b))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.19], N[(N[(N[Sqrt[N[(b * b + N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a * 2.0), $MachinePrecision]), $MachinePrecision], N[(-1.0 / N[(N[(b / c), $MachinePrecision] - N[(a / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.19:\\
\;\;\;\;\frac{\sqrt{\mathsf{fma}\left(b, b, a \cdot \left(c \cdot -4\right)\right)} - b}{a \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{b}{c} - \frac{a}{b}}\\
\end{array}
\end{array}
if b < 0.19Initial program 89.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval89.8
Applied egg-rr89.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-/.f6489.8
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6489.8
lift-*.f64N/A
*-commutativeN/A
lower-*.f6489.8
lift-*.f64N/A
Applied egg-rr89.8%
if 0.19 < b Initial program 53.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval53.8
Applied egg-rr53.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
flip-+N/A
lift-*.f64N/A
associate-/l/N/A
clear-numN/A
lower-/.f64N/A
Applied egg-rr54.8%
Taylor expanded in a around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6485.5
Simplified85.5%
Final simplification85.9%
(FPCore (a b c) :precision binary64 (if (<= b 0.19) (* (- (sqrt (fma b b (* a (* c -4.0)))) b) (/ 0.5 a)) (/ -1.0 (- (/ b c) (/ a b)))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.19) {
tmp = (sqrt(fma(b, b, (a * (c * -4.0)))) - b) * (0.5 / a);
} else {
tmp = -1.0 / ((b / c) - (a / b));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.19) tmp = Float64(Float64(sqrt(fma(b, b, Float64(a * Float64(c * -4.0)))) - b) * Float64(0.5 / a)); else tmp = Float64(-1.0 / Float64(Float64(b / c) - Float64(a / b))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.19], N[(N[(N[Sqrt[N[(b * b + N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], N[(-1.0 / N[(N[(b / c), $MachinePrecision] - N[(a / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.19:\\
\;\;\;\;\left(\sqrt{\mathsf{fma}\left(b, b, a \cdot \left(c \cdot -4\right)\right)} - b\right) \cdot \frac{0.5}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{b}{c} - \frac{a}{b}}\\
\end{array}
\end{array}
if b < 0.19Initial program 89.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval89.8
Applied egg-rr89.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
lift-+.f64N/A
lift-*.f64N/A
clear-numN/A
associate-/r/N/A
lower-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lower-/.f6489.7
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6489.7
Applied egg-rr89.7%
if 0.19 < b Initial program 53.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval53.8
Applied egg-rr53.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
flip-+N/A
lift-*.f64N/A
associate-/l/N/A
clear-numN/A
lower-/.f64N/A
Applied egg-rr54.8%
Taylor expanded in a around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6485.5
Simplified85.5%
Final simplification85.9%
(FPCore (a b c) :precision binary64 (if (<= b 0.19) (* (/ -0.5 a) (- b (sqrt (fma a (* c -4.0) (* b b))))) (/ -1.0 (- (/ b c) (/ a b)))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.19) {
tmp = (-0.5 / a) * (b - sqrt(fma(a, (c * -4.0), (b * b))));
} else {
tmp = -1.0 / ((b / c) - (a / b));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.19) tmp = Float64(Float64(-0.5 / a) * Float64(b - sqrt(fma(a, Float64(c * -4.0), Float64(b * b))))); else tmp = Float64(-1.0 / Float64(Float64(b / c) - Float64(a / b))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.19], N[(N[(-0.5 / a), $MachinePrecision] * N[(b - N[Sqrt[N[(a * N[(c * -4.0), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(-1.0 / N[(N[(b / c), $MachinePrecision] - N[(a / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.19:\\
\;\;\;\;\frac{-0.5}{a} \cdot \left(b - \sqrt{\mathsf{fma}\left(a, c \cdot -4, b \cdot b\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{-1}{\frac{b}{c} - \frac{a}{b}}\\
\end{array}
\end{array}
if b < 0.19Initial program 89.7%
Applied egg-rr89.5%
if 0.19 < b Initial program 53.7%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval53.8
Applied egg-rr53.8%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
flip-+N/A
lift-*.f64N/A
associate-/l/N/A
clear-numN/A
lower-/.f64N/A
Applied egg-rr54.8%
Taylor expanded in a around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6485.5
Simplified85.5%
Final simplification85.8%
(FPCore (a b c) :precision binary64 (/ -1.0 (- (/ b c) (/ a b))))
double code(double a, double b, double c) {
return -1.0 / ((b / c) - (a / b));
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-1.0d0) / ((b / c) - (a / b))
end function
public static double code(double a, double b, double c) {
return -1.0 / ((b / c) - (a / b));
}
def code(a, b, c): return -1.0 / ((b / c) - (a / b))
function code(a, b, c) return Float64(-1.0 / Float64(Float64(b / c) - Float64(a / b))) end
function tmp = code(a, b, c) tmp = -1.0 / ((b / c) - (a / b)); end
code[a_, b_, c_] := N[(-1.0 / N[(N[(b / c), $MachinePrecision] - N[(a / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-1}{\frac{b}{c} - \frac{a}{b}}
\end{array}
Initial program 56.9%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
sub-negN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
metadata-eval57.0
Applied egg-rr57.0%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-sqrt.f64N/A
flip-+N/A
lift-*.f64N/A
associate-/l/N/A
clear-numN/A
lower-/.f64N/A
Applied egg-rr58.0%
Taylor expanded in a around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6482.0
Simplified82.0%
Final simplification82.0%
(FPCore (a b c) :precision binary64 (/ c (- b)))
double code(double a, double b, double c) {
return c / -b;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = c / -b
end function
public static double code(double a, double b, double c) {
return c / -b;
}
def code(a, b, c): return c / -b
function code(a, b, c) return Float64(c / Float64(-b)) end
function tmp = code(a, b, c) tmp = c / -b; end
code[a_, b_, c_] := N[(c / (-b)), $MachinePrecision]
\begin{array}{l}
\\
\frac{c}{-b}
\end{array}
Initial program 56.9%
Taylor expanded in b around inf
mul-1-negN/A
distribute-neg-frac2N/A
lower-/.f64N/A
lower-neg.f6463.4
Simplified63.4%
(FPCore (a b c) :precision binary64 0.0)
double code(double a, double b, double c) {
return 0.0;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = 0.0d0
end function
public static double code(double a, double b, double c) {
return 0.0;
}
def code(a, b, c): return 0.0
function code(a, b, c) return 0.0 end
function tmp = code(a, b, c) tmp = 0.0; end
code[a_, b_, c_] := 0.0
\begin{array}{l}
\\
0
\end{array}
Initial program 56.9%
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-sqrt.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lift-*.f64N/A
div-subN/A
lower--.f64N/A
Applied egg-rr56.2%
Applied egg-rr56.2%
Taylor expanded in c around 0
distribute-rgt-outN/A
metadata-evalN/A
mul0-rgt3.2
Simplified3.2%
herbie shell --seed 2024219
(FPCore (a b c)
:name "Quadratic roots, narrow range"
:precision binary64
:pre (and (and (and (< 1.0536712127723509e-8 a) (< a 94906265.62425156)) (and (< 1.0536712127723509e-8 b) (< b 94906265.62425156))) (and (< 1.0536712127723509e-8 c) (< c 94906265.62425156)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))