
(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
(let* ((t_0 (* b (* b b))))
(-
(*
a
(+
(/ (/ a (/ b (* a -0.25))) (/ (* t_0 (/ t_0 (* c c))) (* (* c c) 20.0)))
(/ (* (* c c) (+ -1.0 (/ (* a -2.0) (/ b (/ c b))))) t_0)))
(/ c b))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * (((a / (b / (a * -0.25))) / ((t_0 * (t_0 / (c * c))) / ((c * c) * 20.0))) + (((c * c) * (-1.0 + ((a * -2.0) / (b / (c / b))))) / t_0))) - (c / b);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: t_0
t_0 = b * (b * b)
code = (a * (((a / (b / (a * (-0.25d0)))) / ((t_0 * (t_0 / (c * c))) / ((c * c) * 20.0d0))) + (((c * c) * ((-1.0d0) + ((a * (-2.0d0)) / (b / (c / b))))) / t_0))) - (c / b)
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * (((a / (b / (a * -0.25))) / ((t_0 * (t_0 / (c * c))) / ((c * c) * 20.0))) + (((c * c) * (-1.0 + ((a * -2.0) / (b / (c / b))))) / t_0))) - (c / b);
}
def code(a, b, c): t_0 = b * (b * b) return (a * (((a / (b / (a * -0.25))) / ((t_0 * (t_0 / (c * c))) / ((c * c) * 20.0))) + (((c * c) * (-1.0 + ((a * -2.0) / (b / (c / b))))) / t_0))) - (c / b)
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(a * Float64(Float64(Float64(a / Float64(b / Float64(a * -0.25))) / Float64(Float64(t_0 * Float64(t_0 / Float64(c * c))) / Float64(Float64(c * c) * 20.0))) + Float64(Float64(Float64(c * c) * Float64(-1.0 + Float64(Float64(a * -2.0) / Float64(b / Float64(c / b))))) / t_0))) - Float64(c / b)) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = (a * (((a / (b / (a * -0.25))) / ((t_0 * (t_0 / (c * c))) / ((c * c) * 20.0))) + (((c * c) * (-1.0 + ((a * -2.0) / (b / (c / b))))) / t_0))) - (c / b); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, N[(N[(a * N[(N[(N[(a / N[(b / N[(a * -0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$0 * N[(t$95$0 / N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(c * c), $MachinePrecision] * 20.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(c * c), $MachinePrecision] * N[(-1.0 + N[(N[(a * -2.0), $MachinePrecision] / N[(b / N[(c / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
a \cdot \left(\frac{\frac{a}{\frac{b}{a \cdot -0.25}}}{\frac{t\_0 \cdot \frac{t\_0}{c \cdot c}}{\left(c \cdot c\right) \cdot 20}} + \frac{\left(c \cdot c\right) \cdot \left(-1 + \frac{a \cdot -2}{\frac{b}{\frac{c}{b}}}\right)}{t\_0}\right) - \frac{c}{b}
\end{array}
\end{array}
Initial program 19.8%
Taylor expanded in a around 0
Simplified96.7%
Applied egg-rr96.7%
Applied egg-rr96.7%
Applied egg-rr96.7%
Final simplification96.7%
(FPCore (a b c) :precision binary64 (/ (- (/ (* (* -2.0 (* c (* c c))) (* a a)) (* (* b b) (* b b))) (+ c (* a (* c (/ (/ c b) b))))) b))
double code(double a, double b, double c) {
return ((((-2.0 * (c * (c * c))) * (a * a)) / ((b * b) * (b * b))) - (c + (a * (c * ((c / b) / b))))) / b;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (((((-2.0d0) * (c * (c * c))) * (a * a)) / ((b * b) * (b * b))) - (c + (a * (c * ((c / b) / b))))) / b
end function
public static double code(double a, double b, double c) {
return ((((-2.0 * (c * (c * c))) * (a * a)) / ((b * b) * (b * b))) - (c + (a * (c * ((c / b) / b))))) / b;
}
def code(a, b, c): return ((((-2.0 * (c * (c * c))) * (a * a)) / ((b * b) * (b * b))) - (c + (a * (c * ((c / b) / b))))) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(c * Float64(c * c))) * Float64(a * a)) / Float64(Float64(b * b) * Float64(b * b))) - Float64(c + Float64(a * Float64(c * Float64(Float64(c / b) / b))))) / b) end
function tmp = code(a, b, c) tmp = ((((-2.0 * (c * (c * c))) * (a * a)) / ((b * b) * (b * b))) - (c + (a * (c * ((c / b) / b))))) / b; end
code[a_, b_, c_] := N[(N[(N[(N[(N[(-2.0 * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c + N[(a * N[(c * N[(N[(c / b), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(-2 \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot a\right)}{\left(b \cdot b\right) \cdot \left(b \cdot b\right)} - \left(c + a \cdot \left(c \cdot \frac{\frac{c}{b}}{b}\right)\right)}{b}
\end{array}
Initial program 19.8%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified95.8%
Final simplification95.8%
(FPCore (a b c) :precision binary64 (- (* a (/ (- (/ (* -2.0 (* a (* c (* c c)))) (* b b)) (* c c)) (* b (* b b)))) (/ c b)))
double code(double a, double b, double c) {
return (a * ((((-2.0 * (a * (c * (c * c)))) / (b * b)) - (c * c)) / (b * (b * b)))) - (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 = (a * (((((-2.0d0) * (a * (c * (c * c)))) / (b * b)) - (c * c)) / (b * (b * b)))) - (c / b)
end function
public static double code(double a, double b, double c) {
return (a * ((((-2.0 * (a * (c * (c * c)))) / (b * b)) - (c * c)) / (b * (b * b)))) - (c / b);
}
def code(a, b, c): return (a * ((((-2.0 * (a * (c * (c * c)))) / (b * b)) - (c * c)) / (b * (b * b)))) - (c / b)
function code(a, b, c) return Float64(Float64(a * Float64(Float64(Float64(Float64(-2.0 * Float64(a * Float64(c * Float64(c * c)))) / Float64(b * b)) - Float64(c * c)) / Float64(b * Float64(b * b)))) - Float64(c / b)) end
function tmp = code(a, b, c) tmp = (a * ((((-2.0 * (a * (c * (c * c)))) / (b * b)) - (c * c)) / (b * (b * b)))) - (c / b); end
code[a_, b_, c_] := N[(N[(a * N[(N[(N[(N[(-2.0 * N[(a * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
a \cdot \frac{\frac{-2 \cdot \left(a \cdot \left(c \cdot \left(c \cdot c\right)\right)\right)}{b \cdot b} - c \cdot c}{b \cdot \left(b \cdot b\right)} - \frac{c}{b}
\end{array}
Initial program 19.8%
Taylor expanded in a around 0
Simplified96.7%
Taylor expanded in b around inf
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6495.8%
Simplified95.8%
(FPCore (a b c) :precision binary64 (- (* a (/ (* (* c c) (+ -1.0 (* -2.0 (* a (/ c (* b b)))))) (* b (* b b)))) (/ c b)))
double code(double a, double b, double c) {
return (a * (((c * c) * (-1.0 + (-2.0 * (a * (c / (b * b)))))) / (b * (b * b)))) - (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 = (a * (((c * c) * ((-1.0d0) + ((-2.0d0) * (a * (c / (b * b)))))) / (b * (b * b)))) - (c / b)
end function
public static double code(double a, double b, double c) {
return (a * (((c * c) * (-1.0 + (-2.0 * (a * (c / (b * b)))))) / (b * (b * b)))) - (c / b);
}
def code(a, b, c): return (a * (((c * c) * (-1.0 + (-2.0 * (a * (c / (b * b)))))) / (b * (b * b)))) - (c / b)
function code(a, b, c) return Float64(Float64(a * Float64(Float64(Float64(c * c) * Float64(-1.0 + Float64(-2.0 * Float64(a * Float64(c / Float64(b * b)))))) / Float64(b * Float64(b * b)))) - Float64(c / b)) end
function tmp = code(a, b, c) tmp = (a * (((c * c) * (-1.0 + (-2.0 * (a * (c / (b * b)))))) / (b * (b * b)))) - (c / b); end
code[a_, b_, c_] := N[(N[(a * N[(N[(N[(c * c), $MachinePrecision] * N[(-1.0 + N[(-2.0 * N[(a * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
a \cdot \frac{\left(c \cdot c\right) \cdot \left(-1 + -2 \cdot \left(a \cdot \frac{c}{b \cdot b}\right)\right)}{b \cdot \left(b \cdot b\right)} - \frac{c}{b}
\end{array}
Initial program 19.8%
Taylor expanded in a around 0
Simplified96.7%
Taylor expanded in b around inf
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6495.8%
Simplified95.8%
Taylor expanded in c around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6495.8%
Simplified95.8%
(FPCore (a b c) :precision binary64 (* c (/ (+ -1.0 (/ (- (/ (* (* c c) (* -2.0 (* a a))) (* b b)) (* a c)) (* b b))) b)))
double code(double a, double b, double c) {
return c * ((-1.0 + (((((c * c) * (-2.0 * (a * a))) / (b * b)) - (a * c)) / (b * b))) / 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 * (((-1.0d0) + (((((c * c) * ((-2.0d0) * (a * a))) / (b * b)) - (a * c)) / (b * b))) / b)
end function
public static double code(double a, double b, double c) {
return c * ((-1.0 + (((((c * c) * (-2.0 * (a * a))) / (b * b)) - (a * c)) / (b * b))) / b);
}
def code(a, b, c): return c * ((-1.0 + (((((c * c) * (-2.0 * (a * a))) / (b * b)) - (a * c)) / (b * b))) / b)
function code(a, b, c) return Float64(c * Float64(Float64(-1.0 + Float64(Float64(Float64(Float64(Float64(c * c) * Float64(-2.0 * Float64(a * a))) / Float64(b * b)) - Float64(a * c)) / Float64(b * b))) / b)) end
function tmp = code(a, b, c) tmp = c * ((-1.0 + (((((c * c) * (-2.0 * (a * a))) / (b * b)) - (a * c)) / (b * b))) / b); end
code[a_, b_, c_] := N[(c * N[(N[(-1.0 + N[(N[(N[(N[(N[(c * c), $MachinePrecision] * N[(-2.0 * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(a * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
c \cdot \frac{-1 + \frac{\frac{\left(c \cdot c\right) \cdot \left(-2 \cdot \left(a \cdot a\right)\right)}{b \cdot b} - a \cdot c}{b \cdot b}}{b}
\end{array}
Initial program 19.8%
Taylor expanded in c around 0
Simplified96.4%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified95.4%
Taylor expanded in a around 0
sub-negN/A
distribute-lft-inN/A
*-commutativeN/A
associate-/l*N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
unpow2N/A
*-commutativeN/A
associate-*r*N/A
associate-/l*N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
associate-/l*N/A
Simplified95.4%
Final simplification95.4%
(FPCore (a b c) :precision binary64 (/ (+ c (* a (* c (/ (/ c b) b)))) (- 0.0 b)))
double code(double a, double b, double c) {
return (c + (a * (c * ((c / b) / b)))) / (0.0 - 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 + (a * (c * ((c / b) / b)))) / (0.0d0 - b)
end function
public static double code(double a, double b, double c) {
return (c + (a * (c * ((c / b) / b)))) / (0.0 - b);
}
def code(a, b, c): return (c + (a * (c * ((c / b) / b)))) / (0.0 - b)
function code(a, b, c) return Float64(Float64(c + Float64(a * Float64(c * Float64(Float64(c / b) / b)))) / Float64(0.0 - b)) end
function tmp = code(a, b, c) tmp = (c + (a * (c * ((c / b) / b)))) / (0.0 - b); end
code[a_, b_, c_] := N[(N[(c + N[(a * N[(c * N[(N[(c / b), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.0 - b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c + a \cdot \left(c \cdot \frac{\frac{c}{b}}{b}\right)}{0 - b}
\end{array}
Initial program 19.8%
Taylor expanded in b around inf
/-lowering-/.f64N/A
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
associate-/l*N/A
*-lowering-*.f64N/A
unpow2N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f6493.7%
Simplified93.7%
Final simplification93.7%
(FPCore (a b c) :precision binary64 (/ (* c (- -1.0 (/ (* a c) (* b b)))) b))
double code(double a, double b, double c) {
return (c * (-1.0 - ((a * c) / (b * b)))) / 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 * ((-1.0d0) - ((a * c) / (b * b)))) / b
end function
public static double code(double a, double b, double c) {
return (c * (-1.0 - ((a * c) / (b * b)))) / b;
}
def code(a, b, c): return (c * (-1.0 - ((a * c) / (b * b)))) / b
function code(a, b, c) return Float64(Float64(c * Float64(-1.0 - Float64(Float64(a * c) / Float64(b * b)))) / b) end
function tmp = code(a, b, c) tmp = (c * (-1.0 - ((a * c) / (b * b)))) / b; end
code[a_, b_, c_] := N[(N[(c * N[(-1.0 - N[(N[(a * c), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot \left(-1 - \frac{a \cdot c}{b \cdot b}\right)}{b}
\end{array}
Initial program 19.8%
Taylor expanded in b around inf
/-lowering-/.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.3%
Simplified93.3%
associate-/l*N/A
times-fracN/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr93.3%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
Applied egg-rr93.6%
Taylor expanded in c around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.7%
Simplified93.7%
Final simplification93.7%
(FPCore (a b c) :precision binary64 (* c (/ (- -1.0 (* a (/ c (* b b)))) b)))
double code(double a, double b, double c) {
return c * ((-1.0 - (a * (c / (b * b)))) / 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 * (((-1.0d0) - (a * (c / (b * b)))) / b)
end function
public static double code(double a, double b, double c) {
return c * ((-1.0 - (a * (c / (b * b)))) / b);
}
def code(a, b, c): return c * ((-1.0 - (a * (c / (b * b)))) / b)
function code(a, b, c) return Float64(c * Float64(Float64(-1.0 - Float64(a * Float64(c / Float64(b * b)))) / b)) end
function tmp = code(a, b, c) tmp = c * ((-1.0 - (a * (c / (b * b)))) / b); end
code[a_, b_, c_] := N[(c * N[(N[(-1.0 - N[(a * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
c \cdot \frac{-1 - a \cdot \frac{c}{b \cdot b}}{b}
\end{array}
Initial program 19.8%
Taylor expanded in b around inf
/-lowering-/.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.3%
Simplified93.3%
associate-/l*N/A
times-fracN/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr93.3%
Taylor expanded in a around 0
distribute-lft-outN/A
mul-1-negN/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
associate-*l/N/A
*-lft-identityN/A
associate-*l/N/A
distribute-rgt-inN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
+-commutativeN/A
distribute-neg-outN/A
mul-1-negN/A
sub-negN/A
Simplified93.4%
(FPCore (a b c) :precision binary64 (- 0.0 (/ c b)))
double code(double a, double b, double c) {
return 0.0 - (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 = 0.0d0 - (c / b)
end function
public static double code(double a, double b, double c) {
return 0.0 - (c / b);
}
def code(a, b, c): return 0.0 - (c / b)
function code(a, b, c) return Float64(0.0 - Float64(c / b)) end
function tmp = code(a, b, c) tmp = 0.0 - (c / b); end
code[a_, b_, c_] := N[(0.0 - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0 - \frac{c}{b}
\end{array}
Initial program 19.8%
Taylor expanded in b around inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6488.8%
Simplified88.8%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6488.8%
Applied egg-rr88.8%
Final simplification88.8%
herbie shell --seed 2024192
(FPCore (a b c)
:name "Quadratic roots, wide range"
:precision binary64
:pre (and (and (and (< 4.930380657631324e-32 a) (< a 2.028240960365167e+31)) (and (< 4.930380657631324e-32 b) (< b 2.028240960365167e+31))) (and (< 4.930380657631324e-32 c) (< c 2.028240960365167e+31)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))