
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * 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) - ((3.0d0 * a) * c)))) / (3.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(3.0 * a) * c)))) / Float64(3.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(3.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(3.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * 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) - ((3.0d0 * a) * c)))) / (3.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(3.0 * a) * c)))) / Float64(3.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(3.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(3.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\end{array}
(FPCore (a b c) :precision binary64 (/ (* c a) (* a (- (- 0.0 b) (sqrt (+ (* c (* a -3.0)) (* b b)))))))
double code(double a, double b, double c) {
return (c * a) / (a * ((0.0 - b) - sqrt(((c * (a * -3.0)) + (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 * a) / (a * ((0.0d0 - b) - sqrt(((c * (a * (-3.0d0))) + (b * b)))))
end function
public static double code(double a, double b, double c) {
return (c * a) / (a * ((0.0 - b) - Math.sqrt(((c * (a * -3.0)) + (b * b)))));
}
def code(a, b, c): return (c * a) / (a * ((0.0 - b) - math.sqrt(((c * (a * -3.0)) + (b * b)))))
function code(a, b, c) return Float64(Float64(c * a) / Float64(a * Float64(Float64(0.0 - b) - sqrt(Float64(Float64(c * Float64(a * -3.0)) + Float64(b * b)))))) end
function tmp = code(a, b, c) tmp = (c * a) / (a * ((0.0 - b) - sqrt(((c * (a * -3.0)) + (b * b))))); end
code[a_, b_, c_] := N[(N[(c * a), $MachinePrecision] / N[(a * N[(N[(0.0 - b), $MachinePrecision] - N[Sqrt[N[(N[(c * N[(a * -3.0), $MachinePrecision]), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot a}{a \cdot \left(\left(0 - b\right) - \sqrt{c \cdot \left(a \cdot -3\right) + b \cdot b}\right)}
\end{array}
Initial program 56.5%
Applied egg-rr56.5%
un-div-invN/A
flip--N/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr58.0%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
+-inversesN/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
Applied egg-rr99.3%
frac-2negN/A
distribute-neg-fracN/A
sub0-negN/A
remove-double-negN/A
/-lowering-/.f64N/A
associate-/l*N/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(if (<= (/ (- (sqrt (- (* b b) (* c (* a 3.0)))) b) (* a 3.0)) -15.0)
(/
-0.3333333333333333
(/ 1.0 (/ (- b (sqrt (+ (* b b) (* (* c a) -3.0)))) a)))
(+
(/ (* c -0.5) b)
(*
a
(+
(/ (/ (* (* c c) -0.375) (* b b)) b)
(*
a
(+
(/ (* c (* (* c c) -0.5625)) (* (* b b) t_0))
(/
(/ (* (* c (* c (* c c))) (* a -1.0546875)) (* (* b b) (* b t_0)))
b)))))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
double tmp;
if (((sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) {
tmp = -0.3333333333333333 / (1.0 / ((b - sqrt(((b * b) + ((c * a) * -3.0)))) / a));
} else {
tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))));
}
return tmp;
}
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
real(8) :: tmp
t_0 = b * (b * b)
if (((sqrt(((b * b) - (c * (a * 3.0d0)))) - b) / (a * 3.0d0)) <= (-15.0d0)) then
tmp = (-0.3333333333333333d0) / (1.0d0 / ((b - sqrt(((b * b) + ((c * a) * (-3.0d0))))) / a))
else
tmp = ((c * (-0.5d0)) / b) + (a * (((((c * c) * (-0.375d0)) / (b * b)) / b) + (a * (((c * ((c * c) * (-0.5625d0))) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * (-1.0546875d0))) / ((b * b) * (b * t_0))) / b)))))
end if
code = tmp
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
double tmp;
if (((Math.sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) {
tmp = -0.3333333333333333 / (1.0 / ((b - Math.sqrt(((b * b) + ((c * a) * -3.0)))) / a));
} else {
tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))));
}
return tmp;
}
def code(a, b, c): t_0 = b * (b * b) tmp = 0 if ((math.sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0: tmp = -0.3333333333333333 / (1.0 / ((b - math.sqrt(((b * b) + ((c * a) * -3.0)))) / a)) else: tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))))) return tmp
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(Float64(b * b) - Float64(c * Float64(a * 3.0)))) - b) / Float64(a * 3.0)) <= -15.0) tmp = Float64(-0.3333333333333333 / Float64(1.0 / Float64(Float64(b - sqrt(Float64(Float64(b * b) + Float64(Float64(c * a) * -3.0)))) / a))); else tmp = Float64(Float64(Float64(c * -0.5) / b) + Float64(a * Float64(Float64(Float64(Float64(Float64(c * c) * -0.375) / Float64(b * b)) / b) + Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -0.5625)) / Float64(Float64(b * b) * t_0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) * Float64(a * -1.0546875)) / Float64(Float64(b * b) * Float64(b * t_0))) / b)))))); end return tmp end
function tmp_2 = code(a, b, c) t_0 = b * (b * b); tmp = 0.0; if (((sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) tmp = -0.3333333333333333 / (1.0 / ((b - sqrt(((b * b) + ((c * a) * -3.0)))) / a)); else tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))))); end tmp_2 = tmp; end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(c * N[(a * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a * 3.0), $MachinePrecision]), $MachinePrecision], -15.0], N[(-0.3333333333333333 / N[(1.0 / N[(N[(b - N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(N[(c * a), $MachinePrecision] * -3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(N[(N[(c * c), $MachinePrecision] * -0.375), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * -1.0546875), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
\mathbf{if}\;\frac{\sqrt{b \cdot b - c \cdot \left(a \cdot 3\right)} - b}{a \cdot 3} \leq -15:\\
\;\;\;\;\frac{-0.3333333333333333}{\frac{1}{\frac{b - \sqrt{b \cdot b + \left(c \cdot a\right) \cdot -3}}{a}}}\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b} + a \cdot \left(\frac{\frac{\left(c \cdot c\right) \cdot -0.375}{b \cdot b}}{b} + a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -0.5625\right)}{\left(b \cdot b\right) \cdot t\_0} + \frac{\frac{\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot -1.0546875\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)}}{b}\right)\right)\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 3 binary64) a) c)))) (*.f64 #s(literal 3 binary64) a)) < -15Initial program 90.2%
Applied egg-rr90.2%
un-div-invN/A
flip--N/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr91.6%
div-invN/A
clear-numN/A
associate-*l/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
/-lowering-/.f64N/A
metadata-evalN/A
clear-numN/A
/-lowering-/.f64N/A
Applied egg-rr90.3%
if -15 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 3 binary64) a) c)))) (*.f64 #s(literal 3 binary64) a)) Initial program 53.3%
Taylor expanded in a around 0
Simplified92.5%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr92.5%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6492.5%
Applied egg-rr92.5%
Final simplification92.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(if (<= (/ (- (sqrt (- (* b b) (* c (* a 3.0)))) b) (* a 3.0)) -15.0)
(* (/ -0.3333333333333333 a) (- b (sqrt (+ (* b b) (* a (* c -3.0))))))
(+
(/ (* c -0.5) b)
(*
a
(+
(/ (/ (* (* c c) -0.375) (* b b)) b)
(*
a
(+
(/ (* c (* (* c c) -0.5625)) (* (* b b) t_0))
(/
(/ (* (* c (* c (* c c))) (* a -1.0546875)) (* (* b b) (* b t_0)))
b)))))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
double tmp;
if (((sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) {
tmp = (-0.3333333333333333 / a) * (b - sqrt(((b * b) + (a * (c * -3.0)))));
} else {
tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))));
}
return tmp;
}
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
real(8) :: tmp
t_0 = b * (b * b)
if (((sqrt(((b * b) - (c * (a * 3.0d0)))) - b) / (a * 3.0d0)) <= (-15.0d0)) then
tmp = ((-0.3333333333333333d0) / a) * (b - sqrt(((b * b) + (a * (c * (-3.0d0))))))
else
tmp = ((c * (-0.5d0)) / b) + (a * (((((c * c) * (-0.375d0)) / (b * b)) / b) + (a * (((c * ((c * c) * (-0.5625d0))) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * (-1.0546875d0))) / ((b * b) * (b * t_0))) / b)))))
end if
code = tmp
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
double tmp;
if (((Math.sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) {
tmp = (-0.3333333333333333 / a) * (b - Math.sqrt(((b * b) + (a * (c * -3.0)))));
} else {
tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))));
}
return tmp;
}
def code(a, b, c): t_0 = b * (b * b) tmp = 0 if ((math.sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0: tmp = (-0.3333333333333333 / a) * (b - math.sqrt(((b * b) + (a * (c * -3.0))))) else: tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))))) return tmp
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) tmp = 0.0 if (Float64(Float64(sqrt(Float64(Float64(b * b) - Float64(c * Float64(a * 3.0)))) - b) / Float64(a * 3.0)) <= -15.0) tmp = Float64(Float64(-0.3333333333333333 / a) * Float64(b - sqrt(Float64(Float64(b * b) + Float64(a * Float64(c * -3.0)))))); else tmp = Float64(Float64(Float64(c * -0.5) / b) + Float64(a * Float64(Float64(Float64(Float64(Float64(c * c) * -0.375) / Float64(b * b)) / b) + Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -0.5625)) / Float64(Float64(b * b) * t_0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) * Float64(a * -1.0546875)) / Float64(Float64(b * b) * Float64(b * t_0))) / b)))))); end return tmp end
function tmp_2 = code(a, b, c) t_0 = b * (b * b); tmp = 0.0; if (((sqrt(((b * b) - (c * (a * 3.0)))) - b) / (a * 3.0)) <= -15.0) tmp = (-0.3333333333333333 / a) * (b - sqrt(((b * b) + (a * (c * -3.0))))); else tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))))); end tmp_2 = tmp; end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(N[(N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(c * N[(a * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a * 3.0), $MachinePrecision]), $MachinePrecision], -15.0], N[(N[(-0.3333333333333333 / a), $MachinePrecision] * N[(b - N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(a * N[(c * -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(N[(N[(c * c), $MachinePrecision] * -0.375), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * -1.0546875), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
\mathbf{if}\;\frac{\sqrt{b \cdot b - c \cdot \left(a \cdot 3\right)} - b}{a \cdot 3} \leq -15:\\
\;\;\;\;\frac{-0.3333333333333333}{a} \cdot \left(b - \sqrt{b \cdot b + a \cdot \left(c \cdot -3\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{c \cdot -0.5}{b} + a \cdot \left(\frac{\frac{\left(c \cdot c\right) \cdot -0.375}{b \cdot b}}{b} + a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -0.5625\right)}{\left(b \cdot b\right) \cdot t\_0} + \frac{\frac{\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot -1.0546875\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)}}{b}\right)\right)\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 3 binary64) a) c)))) (*.f64 #s(literal 3 binary64) a)) < -15Initial program 90.2%
Applied egg-rr90.3%
if -15 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 3 binary64) a) c)))) (*.f64 #s(literal 3 binary64) a)) Initial program 53.3%
Taylor expanded in a around 0
Simplified92.5%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr92.5%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6492.5%
Applied egg-rr92.5%
Final simplification92.3%
(FPCore (a b c) :precision binary64 (/ (* c a) (* a (- (- 0.0 b) (sqrt (+ (* b b) (* (* c a) -3.0)))))))
double code(double a, double b, double c) {
return (c * a) / (a * ((0.0 - b) - sqrt(((b * b) + ((c * a) * -3.0)))));
}
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) / (a * ((0.0d0 - b) - sqrt(((b * b) + ((c * a) * (-3.0d0))))))
end function
public static double code(double a, double b, double c) {
return (c * a) / (a * ((0.0 - b) - Math.sqrt(((b * b) + ((c * a) * -3.0)))));
}
def code(a, b, c): return (c * a) / (a * ((0.0 - b) - math.sqrt(((b * b) + ((c * a) * -3.0)))))
function code(a, b, c) return Float64(Float64(c * a) / Float64(a * Float64(Float64(0.0 - b) - sqrt(Float64(Float64(b * b) + Float64(Float64(c * a) * -3.0)))))) end
function tmp = code(a, b, c) tmp = (c * a) / (a * ((0.0 - b) - sqrt(((b * b) + ((c * a) * -3.0))))); end
code[a_, b_, c_] := N[(N[(c * a), $MachinePrecision] / N[(a * N[(N[(0.0 - b), $MachinePrecision] - N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(N[(c * a), $MachinePrecision] * -3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot a}{a \cdot \left(\left(0 - b\right) - \sqrt{b \cdot b + \left(c \cdot a\right) \cdot -3}\right)}
\end{array}
Initial program 56.5%
Applied egg-rr56.5%
un-div-invN/A
flip--N/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr58.0%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
+-inversesN/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
Applied egg-rr99.3%
Taylor expanded in c around 0
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
*-commutativeN/A
*-lowering-*.f6499.4%
Simplified99.4%
Final simplification99.4%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(+
(/ (* c -0.5) b)
(*
a
(+
(/ (/ (* (* c c) -0.375) (* b b)) b)
(*
a
(+
(/ (* c (* (* c c) -0.5625)) (* (* b b) t_0))
(/
(/ (* (* c (* c (* c c))) (* a -1.0546875)) (* (* b b) (* b t_0)))
b))))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / 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 = ((c * (-0.5d0)) / b) + (a * (((((c * c) * (-0.375d0)) / (b * b)) / b) + (a * (((c * ((c * c) * (-0.5625d0))) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * (-1.0546875d0))) / ((b * b) * (b * t_0))) / b)))))
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))));
}
def code(a, b, c): t_0 = b * (b * b) return ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b)))))
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(Float64(c * -0.5) / b) + Float64(a * Float64(Float64(Float64(Float64(Float64(c * c) * -0.375) / Float64(b * b)) / b) + Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -0.5625)) / Float64(Float64(b * b) * t_0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) * Float64(a * -1.0546875)) / Float64(Float64(b * b) * Float64(b * t_0))) / b)))))) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = ((c * -0.5) / b) + (a * (((((c * c) * -0.375) / (b * b)) / b) + (a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(N[(N[(c * c), $MachinePrecision] * -0.375), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * -1.0546875), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
\frac{c \cdot -0.5}{b} + a \cdot \left(\frac{\frac{\left(c \cdot c\right) \cdot -0.375}{b \cdot b}}{b} + a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -0.5625\right)}{\left(b \cdot b\right) \cdot t\_0} + \frac{\frac{\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot -1.0546875\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)}}{b}\right)\right)
\end{array}
\end{array}
Initial program 56.5%
Taylor expanded in a around 0
Simplified89.9%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr89.9%
*-commutativeN/A
associate-*r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6489.9%
Applied egg-rr89.9%
Final simplification89.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(+
(/ (* c -0.5) b)
(*
a
(+
(*
a
(+
(/ (* c (* (* c c) -0.5625)) (* (* b b) t_0))
(/
(/ (* (* c (* c (* c c))) (* a -1.0546875)) (* (* b b) (* b t_0)))
b)))
(/ (* -0.375 (* c (/ c (* b b)))) b))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return ((c * -0.5) / b) + (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (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
real(8) :: t_0
t_0 = b * (b * b)
code = ((c * (-0.5d0)) / b) + (a * ((a * (((c * ((c * c) * (-0.5625d0))) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * (-1.0546875d0))) / ((b * b) * (b * t_0))) / b))) + (((-0.375d0) * (c * (c / (b * b)))) / b)))
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return ((c * -0.5) / b) + (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b)));
}
def code(a, b, c): t_0 = b * (b * b) return ((c * -0.5) / b) + (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b)))
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(Float64(c * -0.5) / b) + Float64(a * Float64(Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -0.5625)) / Float64(Float64(b * b) * t_0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) * Float64(a * -1.0546875)) / Float64(Float64(b * b) * Float64(b * t_0))) / b))) + Float64(Float64(-0.375 * Float64(c * Float64(c / Float64(b * b)))) / b)))) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = ((c * -0.5) / b) + (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * -1.0546875), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.375 * N[(c * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
\frac{c \cdot -0.5}{b} + a \cdot \left(a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -0.5625\right)}{\left(b \cdot b\right) \cdot t\_0} + \frac{\frac{\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot -1.0546875\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)}}{b}\right) + \frac{-0.375 \cdot \left(c \cdot \frac{c}{b \cdot b}\right)}{b}\right)
\end{array}
\end{array}
Initial program 56.5%
Taylor expanded in a around 0
Simplified89.9%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr89.9%
Final simplification89.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(+
(*
a
(+
(*
a
(+
(/ (* c (* (* c c) -0.5625)) (* (* b b) t_0))
(/
(/ (* (* c (* c (* c c))) (* a -1.0546875)) (* (* b b) (* b t_0)))
b)))
(/ (* -0.375 (* c (/ c (* b b)))) b)))
(* c (/ -0.5 b)))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b))) + (c * (-0.5 / 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 * (((c * ((c * c) * (-0.5625d0))) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * (-1.0546875d0))) / ((b * b) * (b * t_0))) / b))) + (((-0.375d0) * (c * (c / (b * b)))) / b))) + (c * ((-0.5d0) / b))
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b))) + (c * (-0.5 / b));
}
def code(a, b, c): t_0 = b * (b * b) return (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b))) + (c * (-0.5 / b))
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(a * Float64(Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -0.5625)) / Float64(Float64(b * b) * t_0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) * Float64(a * -1.0546875)) / Float64(Float64(b * b) * Float64(b * t_0))) / b))) + Float64(Float64(-0.375 * Float64(c * Float64(c / Float64(b * b)))) / b))) + Float64(c * Float64(-0.5 / b))) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = (a * ((a * (((c * ((c * c) * -0.5625)) / ((b * b) * t_0)) + ((((c * (c * (c * c))) * (a * -1.0546875)) / ((b * b) * (b * t_0))) / b))) + ((-0.375 * (c * (c / (b * b)))) / b))) + (c * (-0.5 / b)); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, N[(N[(a * N[(N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a * -1.0546875), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.375 * N[(c * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(c * N[(-0.5 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
a \cdot \left(a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -0.5625\right)}{\left(b \cdot b\right) \cdot t\_0} + \frac{\frac{\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot \left(a \cdot -1.0546875\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)}}{b}\right) + \frac{-0.375 \cdot \left(c \cdot \frac{c}{b \cdot b}\right)}{b}\right) + c \cdot \frac{-0.5}{b}
\end{array}
\end{array}
Initial program 56.5%
Taylor expanded in a around 0
Simplified89.9%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr89.9%
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f6489.8%
Applied egg-rr89.8%
Final simplification89.8%
(FPCore (a b c)
:precision binary64
(/
(/ (* (* c a) -3.0) -3.0)
(*
a
(-
(*
a
(- (/ (* -1.125 (* a (* c c))) (- 0.0 (* b (* b b)))) (/ (* c -1.5) b)))
(* b 2.0)))))
double code(double a, double b, double c) {
return (((c * a) * -3.0) / -3.0) / (a * ((a * (((-1.125 * (a * (c * c))) / (0.0 - (b * (b * b)))) - ((c * -1.5) / b))) - (b * 2.0)));
}
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) * (-3.0d0)) / (-3.0d0)) / (a * ((a * ((((-1.125d0) * (a * (c * c))) / (0.0d0 - (b * (b * b)))) - ((c * (-1.5d0)) / b))) - (b * 2.0d0)))
end function
public static double code(double a, double b, double c) {
return (((c * a) * -3.0) / -3.0) / (a * ((a * (((-1.125 * (a * (c * c))) / (0.0 - (b * (b * b)))) - ((c * -1.5) / b))) - (b * 2.0)));
}
def code(a, b, c): return (((c * a) * -3.0) / -3.0) / (a * ((a * (((-1.125 * (a * (c * c))) / (0.0 - (b * (b * b)))) - ((c * -1.5) / b))) - (b * 2.0)))
function code(a, b, c) return Float64(Float64(Float64(Float64(c * a) * -3.0) / -3.0) / Float64(a * Float64(Float64(a * Float64(Float64(Float64(-1.125 * Float64(a * Float64(c * c))) / Float64(0.0 - Float64(b * Float64(b * b)))) - Float64(Float64(c * -1.5) / b))) - Float64(b * 2.0)))) end
function tmp = code(a, b, c) tmp = (((c * a) * -3.0) / -3.0) / (a * ((a * (((-1.125 * (a * (c * c))) / (0.0 - (b * (b * b)))) - ((c * -1.5) / b))) - (b * 2.0))); end
code[a_, b_, c_] := N[(N[(N[(N[(c * a), $MachinePrecision] * -3.0), $MachinePrecision] / -3.0), $MachinePrecision] / N[(a * N[(N[(a * N[(N[(N[(-1.125 * N[(a * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.0 - N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(c * -1.5), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(b * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(c \cdot a\right) \cdot -3}{-3}}{a \cdot \left(a \cdot \left(\frac{-1.125 \cdot \left(a \cdot \left(c \cdot c\right)\right)}{0 - b \cdot \left(b \cdot b\right)} - \frac{c \cdot -1.5}{b}\right) - b \cdot 2\right)}
\end{array}
Initial program 56.5%
Applied egg-rr56.5%
un-div-invN/A
flip--N/A
associate-/l/N/A
/-lowering-/.f64N/A
Applied egg-rr58.0%
associate-/l/N/A
associate-/r*N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
associate--r+N/A
+-inversesN/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-*r*N/A
Applied egg-rr99.3%
Taylor expanded in a around 0
+-commutativeN/A
+-lowering-+.f64N/A
Simplified87.1%
Final simplification87.1%
(FPCore (a b c) :precision binary64 (/ (+ (+ (* c -0.5) (* a (* -0.375 (* c (/ c (* b b)))))) (/ (* -0.5625 (* c (* c (* c (* a a))))) (* (* b b) (* b b)))) b))
double code(double a, double b, double c) {
return (((c * -0.5) + (a * (-0.375 * (c * (c / (b * b)))))) + ((-0.5625 * (c * (c * (c * (a * a))))) / ((b * b) * (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 * (-0.5d0)) + (a * ((-0.375d0) * (c * (c / (b * b)))))) + (((-0.5625d0) * (c * (c * (c * (a * a))))) / ((b * b) * (b * b)))) / b
end function
public static double code(double a, double b, double c) {
return (((c * -0.5) + (a * (-0.375 * (c * (c / (b * b)))))) + ((-0.5625 * (c * (c * (c * (a * a))))) / ((b * b) * (b * b)))) / b;
}
def code(a, b, c): return (((c * -0.5) + (a * (-0.375 * (c * (c / (b * b)))))) + ((-0.5625 * (c * (c * (c * (a * a))))) / ((b * b) * (b * b)))) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(c * -0.5) + Float64(a * Float64(-0.375 * Float64(c * Float64(c / Float64(b * b)))))) + Float64(Float64(-0.5625 * Float64(c * Float64(c * Float64(c * Float64(a * a))))) / Float64(Float64(b * b) * Float64(b * b)))) / b) end
function tmp = code(a, b, c) tmp = (((c * -0.5) + (a * (-0.375 * (c * (c / (b * b)))))) + ((-0.5625 * (c * (c * (c * (a * a))))) / ((b * b) * (b * b)))) / b; end
code[a_, b_, c_] := N[(N[(N[(N[(c * -0.5), $MachinePrecision] + N[(a * N[(-0.375 * N[(c * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(-0.5625 * N[(c * N[(c * N[(c * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(c \cdot -0.5 + a \cdot \left(-0.375 \cdot \left(c \cdot \frac{c}{b \cdot b}\right)\right)\right) + \frac{-0.5625 \cdot \left(c \cdot \left(c \cdot \left(c \cdot \left(a \cdot a\right)\right)\right)\right)}{\left(b \cdot b\right) \cdot \left(b \cdot b\right)}}{b}
\end{array}
Initial program 56.5%
Taylor expanded in b around inf
Simplified86.8%
(FPCore (a b c)
:precision binary64
(+
(/ (* c -0.5) b)
(*
a
(/
(+ (/ (* (* c (* c c)) (* a -0.5625)) (* b b)) (* (* c c) -0.375))
(* b (* b b))))))
double code(double a, double b, double c) {
return ((c * -0.5) / b) + (a * (((((c * (c * c)) * (a * -0.5625)) / (b * b)) + ((c * c) * -0.375)) / (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 * (-0.5d0)) / b) + (a * (((((c * (c * c)) * (a * (-0.5625d0))) / (b * b)) + ((c * c) * (-0.375d0))) / (b * (b * b))))
end function
public static double code(double a, double b, double c) {
return ((c * -0.5) / b) + (a * (((((c * (c * c)) * (a * -0.5625)) / (b * b)) + ((c * c) * -0.375)) / (b * (b * b))));
}
def code(a, b, c): return ((c * -0.5) / b) + (a * (((((c * (c * c)) * (a * -0.5625)) / (b * b)) + ((c * c) * -0.375)) / (b * (b * b))))
function code(a, b, c) return Float64(Float64(Float64(c * -0.5) / b) + Float64(a * Float64(Float64(Float64(Float64(Float64(c * Float64(c * c)) * Float64(a * -0.5625)) / Float64(b * b)) + Float64(Float64(c * c) * -0.375)) / Float64(b * Float64(b * b))))) end
function tmp = code(a, b, c) tmp = ((c * -0.5) / b) + (a * (((((c * (c * c)) * (a * -0.5625)) / (b * b)) + ((c * c) * -0.375)) / (b * (b * b)))); end
code[a_, b_, c_] := N[(N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision] + N[(a * N[(N[(N[(N[(N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(a * -0.5625), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] + N[(N[(c * c), $MachinePrecision] * -0.375), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot -0.5}{b} + a \cdot \frac{\frac{\left(c \cdot \left(c \cdot c\right)\right) \cdot \left(a \cdot -0.5625\right)}{b \cdot b} + \left(c \cdot c\right) \cdot -0.375}{b \cdot \left(b \cdot b\right)}
\end{array}
Initial program 56.5%
Taylor expanded in a around 0
Simplified89.9%
Taylor expanded in b around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
associate-*r*N/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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6486.7%
Simplified86.7%
Final simplification86.7%
(FPCore (a b c) :precision binary64 (/ 1.0 (/ (+ (* b -2.0) (/ (* c (* a 1.5)) b)) c)))
double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) + ((c * (a * 1.5)) / b)) / c);
}
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 * (-2.0d0)) + ((c * (a * 1.5d0)) / b)) / c)
end function
public static double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) + ((c * (a * 1.5)) / b)) / c);
}
def code(a, b, c): return 1.0 / (((b * -2.0) + ((c * (a * 1.5)) / b)) / c)
function code(a, b, c) return Float64(1.0 / Float64(Float64(Float64(b * -2.0) + Float64(Float64(c * Float64(a * 1.5)) / b)) / c)) end
function tmp = code(a, b, c) tmp = 1.0 / (((b * -2.0) + ((c * (a * 1.5)) / b)) / c); end
code[a_, b_, c_] := N[(1.0 / N[(N[(N[(b * -2.0), $MachinePrecision] + N[(N[(c * N[(a * 1.5), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{b \cdot -2 + \frac{c \cdot \left(a \cdot 1.5\right)}{b}}{c}}
\end{array}
Initial program 56.5%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified80.0%
associate-/l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr80.0%
Taylor expanded in c around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6480.8%
Simplified80.8%
Final simplification80.8%
(FPCore (a b c) :precision binary64 (/ 1.0 (+ (* -2.0 (/ b c)) (/ (* a 1.5) b))))
double code(double a, double b, double c) {
return 1.0 / ((-2.0 * (b / c)) + ((a * 1.5) / 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 / (((-2.0d0) * (b / c)) + ((a * 1.5d0) / b))
end function
public static double code(double a, double b, double c) {
return 1.0 / ((-2.0 * (b / c)) + ((a * 1.5) / b));
}
def code(a, b, c): return 1.0 / ((-2.0 * (b / c)) + ((a * 1.5) / b))
function code(a, b, c) return Float64(1.0 / Float64(Float64(-2.0 * Float64(b / c)) + Float64(Float64(a * 1.5) / b))) end
function tmp = code(a, b, c) tmp = 1.0 / ((-2.0 * (b / c)) + ((a * 1.5) / b)); end
code[a_, b_, c_] := N[(1.0 / N[(N[(-2.0 * N[(b / c), $MachinePrecision]), $MachinePrecision] + N[(N[(a * 1.5), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{-2 \cdot \frac{b}{c} + \frac{a \cdot 1.5}{b}}
\end{array}
Initial program 56.5%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified80.0%
associate-/l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr80.0%
Taylor expanded in a around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6480.8%
Simplified80.8%
(FPCore (a b c) :precision binary64 (/ (* c -0.5) b))
double code(double a, double b, double c) {
return (c * -0.5) / 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 * (-0.5d0)) / b
end function
public static double code(double a, double b, double c) {
return (c * -0.5) / b;
}
def code(a, b, c): return (c * -0.5) / b
function code(a, b, c) return Float64(Float64(c * -0.5) / b) end
function tmp = code(a, b, c) tmp = (c * -0.5) / b; end
code[a_, b_, c_] := N[(N[(c * -0.5), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot -0.5}{b}
\end{array}
Initial program 56.5%
Taylor expanded in b around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6463.6%
Simplified63.6%
(FPCore (a b c) :precision binary64 (* c (/ -0.5 b)))
double code(double a, double b, double c) {
return c * (-0.5 / 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 * ((-0.5d0) / b)
end function
public static double code(double a, double b, double c) {
return c * (-0.5 / b);
}
def code(a, b, c): return c * (-0.5 / b)
function code(a, b, c) return Float64(c * Float64(-0.5 / b)) end
function tmp = code(a, b, c) tmp = c * (-0.5 / b); end
code[a_, b_, c_] := N[(c * N[(-0.5 / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
c \cdot \frac{-0.5}{b}
\end{array}
Initial program 56.5%
Taylor expanded in b around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6463.6%
Simplified63.6%
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f6463.5%
Applied egg-rr63.5%
Final simplification63.5%
herbie shell --seed 2024191
(FPCore (a b c)
:name "Cubic critical, 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) (* (* 3.0 a) c)))) (* 3.0 a)))