
(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 9 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
(let* ((t_0 (+ (* b b) (* c (* a -3.0)))))
(/
(/
(+
(* (* -27.0 (* a (* a a))) (* c (* c c)))
(*
(* b b)
(+ (* (* a -9.0) (* c (* b b))) (* (* c c) (* (* a a) 27.0)))))
(* (+ b (sqrt t_0)) (+ (* t_0 t_0) (* (* b b) (+ (* b b) t_0)))))
(* a 3.0))))
double code(double a, double b, double c) {
double t_0 = (b * b) + (c * (a * -3.0));
return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((a * -9.0) * (c * (b * b))) + ((c * c) * ((a * a) * 27.0))))) / ((b + sqrt(t_0)) * ((t_0 * t_0) + ((b * b) * ((b * b) + t_0))))) / (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
real(8) :: t_0
t_0 = (b * b) + (c * (a * (-3.0d0)))
code = (((((-27.0d0) * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((a * (-9.0d0)) * (c * (b * b))) + ((c * c) * ((a * a) * 27.0d0))))) / ((b + sqrt(t_0)) * ((t_0 * t_0) + ((b * b) * ((b * b) + t_0))))) / (a * 3.0d0)
end function
public static double code(double a, double b, double c) {
double t_0 = (b * b) + (c * (a * -3.0));
return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((a * -9.0) * (c * (b * b))) + ((c * c) * ((a * a) * 27.0))))) / ((b + Math.sqrt(t_0)) * ((t_0 * t_0) + ((b * b) * ((b * b) + t_0))))) / (a * 3.0);
}
def code(a, b, c): t_0 = (b * b) + (c * (a * -3.0)) return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((a * -9.0) * (c * (b * b))) + ((c * c) * ((a * a) * 27.0))))) / ((b + math.sqrt(t_0)) * ((t_0 * t_0) + ((b * b) * ((b * b) + t_0))))) / (a * 3.0)
function code(a, b, c) t_0 = Float64(Float64(b * b) + Float64(c * Float64(a * -3.0))) return Float64(Float64(Float64(Float64(Float64(-27.0 * Float64(a * Float64(a * a))) * Float64(c * Float64(c * c))) + Float64(Float64(b * b) * Float64(Float64(Float64(a * -9.0) * Float64(c * Float64(b * b))) + Float64(Float64(c * c) * Float64(Float64(a * a) * 27.0))))) / Float64(Float64(b + sqrt(t_0)) * Float64(Float64(t_0 * t_0) + Float64(Float64(b * b) * Float64(Float64(b * b) + t_0))))) / Float64(a * 3.0)) end
function tmp = code(a, b, c) t_0 = (b * b) + (c * (a * -3.0)); tmp = ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((a * -9.0) * (c * (b * b))) + ((c * c) * ((a * a) * 27.0))))) / ((b + sqrt(t_0)) * ((t_0 * t_0) + ((b * b) * ((b * b) + t_0))))) / (a * 3.0); end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(b * b), $MachinePrecision] + N[(c * N[(a * -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(-27.0 * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(N[(a * -9.0), $MachinePrecision] * N[(c * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(c * c), $MachinePrecision] * N[(N[(a * a), $MachinePrecision] * 27.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b + N[Sqrt[t$95$0], $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$0 * t$95$0), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(b * b), $MachinePrecision] + t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(a * 3.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot b + c \cdot \left(a \cdot -3\right)\\
\frac{\frac{\left(-27 \cdot \left(a \cdot \left(a \cdot a\right)\right)\right) \cdot \left(c \cdot \left(c \cdot c\right)\right) + \left(b \cdot b\right) \cdot \left(\left(a \cdot -9\right) \cdot \left(c \cdot \left(b \cdot b\right)\right) + \left(c \cdot c\right) \cdot \left(\left(a \cdot a\right) \cdot 27\right)\right)}{\left(b + \sqrt{t\_0}\right) \cdot \left(t\_0 \cdot t\_0 + \left(b \cdot b\right) \cdot \left(b \cdot b + t\_0\right)\right)}}{a \cdot 3}
\end{array}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Applied egg-rr32.4%
Taylor expanded in b around 0
+-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
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified98.7%
Taylor expanded in b around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.8%
Simplified98.8%
Final simplification98.8%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* -3.0 (* a c))) (t_1 (+ (* b b) t_0)))
(/
(+
(* (* c c) (* (* -27.0 (* a (* a a))) c))
(* (* b b) (+ (* c (* 27.0 (* (* a a) c))) (* (* b b) (* -9.0 (* a c))))))
(*
(* (* a 3.0) (+ b (sqrt t_1)))
(+ (* t_1 t_1) (* (* b b) (+ t_0 (* (* b b) 2.0))))))))
double code(double a, double b, double c) {
double t_0 = -3.0 * (a * c);
double t_1 = (b * b) + t_0;
return (((c * c) * ((-27.0 * (a * (a * a))) * c)) + ((b * b) * ((c * (27.0 * ((a * a) * c))) + ((b * b) * (-9.0 * (a * c)))))) / (((a * 3.0) * (b + sqrt(t_1))) * ((t_1 * t_1) + ((b * b) * (t_0 + ((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
real(8) :: t_0
real(8) :: t_1
t_0 = (-3.0d0) * (a * c)
t_1 = (b * b) + t_0
code = (((c * c) * (((-27.0d0) * (a * (a * a))) * c)) + ((b * b) * ((c * (27.0d0 * ((a * a) * c))) + ((b * b) * ((-9.0d0) * (a * c)))))) / (((a * 3.0d0) * (b + sqrt(t_1))) * ((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0d0)))))
end function
public static double code(double a, double b, double c) {
double t_0 = -3.0 * (a * c);
double t_1 = (b * b) + t_0;
return (((c * c) * ((-27.0 * (a * (a * a))) * c)) + ((b * b) * ((c * (27.0 * ((a * a) * c))) + ((b * b) * (-9.0 * (a * c)))))) / (((a * 3.0) * (b + Math.sqrt(t_1))) * ((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))));
}
def code(a, b, c): t_0 = -3.0 * (a * c) t_1 = (b * b) + t_0 return (((c * c) * ((-27.0 * (a * (a * a))) * c)) + ((b * b) * ((c * (27.0 * ((a * a) * c))) + ((b * b) * (-9.0 * (a * c)))))) / (((a * 3.0) * (b + math.sqrt(t_1))) * ((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))))
function code(a, b, c) t_0 = Float64(-3.0 * Float64(a * c)) t_1 = Float64(Float64(b * b) + t_0) return Float64(Float64(Float64(Float64(c * c) * Float64(Float64(-27.0 * Float64(a * Float64(a * a))) * c)) + Float64(Float64(b * b) * Float64(Float64(c * Float64(27.0 * Float64(Float64(a * a) * c))) + Float64(Float64(b * b) * Float64(-9.0 * Float64(a * c)))))) / Float64(Float64(Float64(a * 3.0) * Float64(b + sqrt(t_1))) * Float64(Float64(t_1 * t_1) + Float64(Float64(b * b) * Float64(t_0 + Float64(Float64(b * b) * 2.0)))))) end
function tmp = code(a, b, c) t_0 = -3.0 * (a * c); t_1 = (b * b) + t_0; tmp = (((c * c) * ((-27.0 * (a * (a * a))) * c)) + ((b * b) * ((c * (27.0 * ((a * a) * c))) + ((b * b) * (-9.0 * (a * c)))))) / (((a * 3.0) * (b + sqrt(t_1))) * ((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0))))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(-3.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] + t$95$0), $MachinePrecision]}, N[(N[(N[(N[(c * c), $MachinePrecision] * N[(N[(-27.0 * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(c * N[(27.0 * N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(-9.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(a * 3.0), $MachinePrecision] * N[(b + N[Sqrt[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(t$95$1 * t$95$1), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(t$95$0 + N[(N[(b * b), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -3 \cdot \left(a \cdot c\right)\\
t_1 := b \cdot b + t\_0\\
\frac{\left(c \cdot c\right) \cdot \left(\left(-27 \cdot \left(a \cdot \left(a \cdot a\right)\right)\right) \cdot c\right) + \left(b \cdot b\right) \cdot \left(c \cdot \left(27 \cdot \left(\left(a \cdot a\right) \cdot c\right)\right) + \left(b \cdot b\right) \cdot \left(-9 \cdot \left(a \cdot c\right)\right)\right)}{\left(\left(a \cdot 3\right) \cdot \left(b + \sqrt{t\_1}\right)\right) \cdot \left(t\_1 \cdot t\_1 + \left(b \cdot b\right) \cdot \left(t\_0 + \left(b \cdot b\right) \cdot 2\right)\right)}
\end{array}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Applied egg-rr32.4%
Taylor expanded in b around 0
+-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
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified98.7%
Applied egg-rr98.8%
Final simplification98.8%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* -9.0 (* a c))))
(/
(/
(+
(* (* -27.0 (* a (* a a))) (* c (* c c)))
(* (* b b) (+ (* (* b b) t_0) (* 27.0 (* (* a a) (* c c))))))
(*
(+ b (sqrt (+ (* b b) (* c (* a -3.0)))))
(+ (* (* c c) (* (* a a) 9.0)) (* (* b b) (+ t_0 (* (* b b) 3.0))))))
(* a 3.0))))
double code(double a, double b, double c) {
double t_0 = -9.0 * (a * c);
return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((b * b) * t_0) + (27.0 * ((a * a) * (c * c)))))) / ((b + sqrt(((b * b) + (c * (a * -3.0))))) * (((c * c) * ((a * a) * 9.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (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
real(8) :: t_0
t_0 = (-9.0d0) * (a * c)
code = (((((-27.0d0) * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((b * b) * t_0) + (27.0d0 * ((a * a) * (c * c)))))) / ((b + sqrt(((b * b) + (c * (a * (-3.0d0)))))) * (((c * c) * ((a * a) * 9.0d0)) + ((b * b) * (t_0 + ((b * b) * 3.0d0)))))) / (a * 3.0d0)
end function
public static double code(double a, double b, double c) {
double t_0 = -9.0 * (a * c);
return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((b * b) * t_0) + (27.0 * ((a * a) * (c * c)))))) / ((b + Math.sqrt(((b * b) + (c * (a * -3.0))))) * (((c * c) * ((a * a) * 9.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 3.0);
}
def code(a, b, c): t_0 = -9.0 * (a * c) return ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((b * b) * t_0) + (27.0 * ((a * a) * (c * c)))))) / ((b + math.sqrt(((b * b) + (c * (a * -3.0))))) * (((c * c) * ((a * a) * 9.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 3.0)
function code(a, b, c) t_0 = Float64(-9.0 * Float64(a * c)) return Float64(Float64(Float64(Float64(Float64(-27.0 * Float64(a * Float64(a * a))) * Float64(c * Float64(c * c))) + Float64(Float64(b * b) * Float64(Float64(Float64(b * b) * t_0) + Float64(27.0 * Float64(Float64(a * a) * Float64(c * c)))))) / Float64(Float64(b + sqrt(Float64(Float64(b * b) + Float64(c * Float64(a * -3.0))))) * Float64(Float64(Float64(c * c) * Float64(Float64(a * a) * 9.0)) + Float64(Float64(b * b) * Float64(t_0 + Float64(Float64(b * b) * 3.0)))))) / Float64(a * 3.0)) end
function tmp = code(a, b, c) t_0 = -9.0 * (a * c); tmp = ((((-27.0 * (a * (a * a))) * (c * (c * c))) + ((b * b) * (((b * b) * t_0) + (27.0 * ((a * a) * (c * c)))))) / ((b + sqrt(((b * b) + (c * (a * -3.0))))) * (((c * c) * ((a * a) * 9.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 3.0); end
code[a_, b_, c_] := Block[{t$95$0 = N[(-9.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(-27.0 * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision] + N[(27.0 * N[(N[(a * a), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b + N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(c * N[(a * -3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(c * c), $MachinePrecision] * N[(N[(a * a), $MachinePrecision] * 9.0), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(t$95$0 + N[(N[(b * b), $MachinePrecision] * 3.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(a * 3.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -9 \cdot \left(a \cdot c\right)\\
\frac{\frac{\left(-27 \cdot \left(a \cdot \left(a \cdot a\right)\right)\right) \cdot \left(c \cdot \left(c \cdot c\right)\right) + \left(b \cdot b\right) \cdot \left(\left(b \cdot b\right) \cdot t\_0 + 27 \cdot \left(\left(a \cdot a\right) \cdot \left(c \cdot c\right)\right)\right)}{\left(b + \sqrt{b \cdot b + c \cdot \left(a \cdot -3\right)}\right) \cdot \left(\left(c \cdot c\right) \cdot \left(\left(a \cdot a\right) \cdot 9\right) + \left(b \cdot b\right) \cdot \left(t\_0 + \left(b \cdot b\right) \cdot 3\right)\right)}}{a \cdot 3}
\end{array}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Applied egg-rr32.4%
Taylor expanded in b around 0
+-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
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Simplified98.7%
Taylor expanded in b around 0
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
associate-+r+N/A
+-lowering-+.f64N/A
distribute-rgt-outN/A
metadata-evalN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.7%
Simplified98.7%
Final simplification98.7%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(-
(*
a
(+
(/ (* (* c c) -0.375) t_0)
(*
a
(+
(/ (* c (* c (* c -0.5625))) (pow b 5.0))
(/
(* (* a -0.16666666666666666) (* (* c c) (* (* c c) 6.328125)))
(* b (* (* b b) (* b t_0))))))))
(/ (* c 0.5) b))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((((c * c) * -0.375) / t_0) + (a * (((c * (c * (c * -0.5625))) / pow(b, 5.0)) + (((a * -0.16666666666666666) * ((c * c) * ((c * c) * 6.328125))) / (b * ((b * b) * (b * t_0)))))))) - ((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 * ((((c * c) * (-0.375d0)) / t_0) + (a * (((c * (c * (c * (-0.5625d0)))) / (b ** 5.0d0)) + (((a * (-0.16666666666666666d0)) * ((c * c) * ((c * c) * 6.328125d0))) / (b * ((b * b) * (b * t_0)))))))) - ((c * 0.5d0) / b)
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((((c * c) * -0.375) / t_0) + (a * (((c * (c * (c * -0.5625))) / Math.pow(b, 5.0)) + (((a * -0.16666666666666666) * ((c * c) * ((c * c) * 6.328125))) / (b * ((b * b) * (b * t_0)))))))) - ((c * 0.5) / b);
}
def code(a, b, c): t_0 = b * (b * b) return (a * ((((c * c) * -0.375) / t_0) + (a * (((c * (c * (c * -0.5625))) / math.pow(b, 5.0)) + (((a * -0.16666666666666666) * ((c * c) * ((c * c) * 6.328125))) / (b * ((b * b) * (b * t_0)))))))) - ((c * 0.5) / b)
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(a * Float64(Float64(Float64(Float64(c * c) * -0.375) / t_0) + Float64(a * Float64(Float64(Float64(c * Float64(c * Float64(c * -0.5625))) / (b ^ 5.0)) + Float64(Float64(Float64(a * -0.16666666666666666) * Float64(Float64(c * c) * Float64(Float64(c * c) * 6.328125))) / Float64(b * Float64(Float64(b * b) * Float64(b * t_0)))))))) - Float64(Float64(c * 0.5) / b)) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = (a * ((((c * c) * -0.375) / t_0) + (a * (((c * (c * (c * -0.5625))) / (b ^ 5.0)) + (((a * -0.16666666666666666) * ((c * c) * ((c * c) * 6.328125))) / (b * ((b * b) * (b * t_0)))))))) - ((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[(N[(N[(c * c), $MachinePrecision] * -0.375), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(a * N[(N[(N[(c * N[(c * N[(c * -0.5625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(a * -0.16666666666666666), $MachinePrecision] * N[(N[(c * c), $MachinePrecision] * N[(N[(c * c), $MachinePrecision] * 6.328125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(c * 0.5), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
a \cdot \left(\frac{\left(c \cdot c\right) \cdot -0.375}{t\_0} + a \cdot \left(\frac{c \cdot \left(c \cdot \left(c \cdot -0.5625\right)\right)}{{b}^{5}} + \frac{\left(a \cdot -0.16666666666666666\right) \cdot \left(\left(c \cdot c\right) \cdot \left(\left(c \cdot c\right) \cdot 6.328125\right)\right)}{b \cdot \left(\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)\right)}\right)\right) - \frac{c \cdot 0.5}{b}
\end{array}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Taylor expanded in a around 0
Simplified96.9%
Applied egg-rr96.9%
Final simplification96.9%
(FPCore (a b c) :precision binary64 (- (* a (/ (* (* c c) (+ -0.375 (* -0.5625 (* a (/ c (* b b)))))) (* b (* b b)))) (/ (* c 0.5) b)))
double code(double a, double b, double c) {
return (a * (((c * c) * (-0.375 + (-0.5625 * (a * (c / (b * b)))))) / (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
code = (a * (((c * c) * ((-0.375d0) + ((-0.5625d0) * (a * (c / (b * b)))))) / (b * (b * b)))) - ((c * 0.5d0) / b)
end function
public static double code(double a, double b, double c) {
return (a * (((c * c) * (-0.375 + (-0.5625 * (a * (c / (b * b)))))) / (b * (b * b)))) - ((c * 0.5) / b);
}
def code(a, b, c): return (a * (((c * c) * (-0.375 + (-0.5625 * (a * (c / (b * b)))))) / (b * (b * b)))) - ((c * 0.5) / b)
function code(a, b, c) return Float64(Float64(a * Float64(Float64(Float64(c * c) * Float64(-0.375 + Float64(-0.5625 * Float64(a * Float64(c / Float64(b * b)))))) / Float64(b * Float64(b * b)))) - Float64(Float64(c * 0.5) / b)) end
function tmp = code(a, b, c) tmp = (a * (((c * c) * (-0.375 + (-0.5625 * (a * (c / (b * b)))))) / (b * (b * b)))) - ((c * 0.5) / b); end
code[a_, b_, c_] := N[(N[(a * N[(N[(N[(c * c), $MachinePrecision] * N[(-0.375 + N[(-0.5625 * N[(a * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(c * 0.5), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
a \cdot \frac{\left(c \cdot c\right) \cdot \left(-0.375 + -0.5625 \cdot \left(a \cdot \frac{c}{b \cdot b}\right)\right)}{b \cdot \left(b \cdot b\right)} - \frac{c \cdot 0.5}{b}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Taylor expanded in a around 0
Simplified96.9%
Applied egg-rr96.9%
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
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6495.3%
Simplified95.3%
Taylor expanded in c around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
associate-/l*N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6495.3%
Simplified95.3%
Final simplification95.3%
(FPCore (a b c) :precision binary64 (/ 1.0 (+ (/ (* b -2.0) c) (* a (+ (* (* a -3.0) (* -0.375 (/ c (* b (* b b))))) (/ 1.5 b))))))
double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) / c) + (a * (((a * -3.0) * (-0.375 * (c / (b * (b * b))))) + (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 / (((b * (-2.0d0)) / c) + (a * (((a * (-3.0d0)) * ((-0.375d0) * (c / (b * (b * b))))) + (1.5d0 / b))))
end function
public static double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) / c) + (a * (((a * -3.0) * (-0.375 * (c / (b * (b * b))))) + (1.5 / b))));
}
def code(a, b, c): return 1.0 / (((b * -2.0) / c) + (a * (((a * -3.0) * (-0.375 * (c / (b * (b * b))))) + (1.5 / b))))
function code(a, b, c) return Float64(1.0 / Float64(Float64(Float64(b * -2.0) / c) + Float64(a * Float64(Float64(Float64(a * -3.0) * Float64(-0.375 * Float64(c / Float64(b * Float64(b * b))))) + Float64(1.5 / b))))) end
function tmp = code(a, b, c) tmp = 1.0 / (((b * -2.0) / c) + (a * (((a * -3.0) * (-0.375 * (c / (b * (b * b))))) + (1.5 / b)))); end
code[a_, b_, c_] := N[(1.0 / N[(N[(N[(b * -2.0), $MachinePrecision] / c), $MachinePrecision] + N[(a * N[(N[(N[(a * -3.0), $MachinePrecision] * N[(-0.375 * N[(c / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.5 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{b \cdot -2}{c} + a \cdot \left(\left(a \cdot -3\right) \cdot \left(-0.375 \cdot \frac{c}{b \cdot \left(b \cdot b\right)}\right) + \frac{1.5}{b}\right)}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
associate-/l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6431.4%
Applied egg-rr31.4%
Taylor expanded in a around 0
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
Simplified95.2%
Final simplification95.2%
(FPCore (a b c) :precision binary64 (/ 1.0 (+ (/ (* b -2.0) c) (/ (* a 1.5) b))))
double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) / 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 / (((b * (-2.0d0)) / c) + ((a * 1.5d0) / b))
end function
public static double code(double a, double b, double c) {
return 1.0 / (((b * -2.0) / c) + ((a * 1.5) / b));
}
def code(a, b, c): return 1.0 / (((b * -2.0) / c) + ((a * 1.5) / b))
function code(a, b, c) return Float64(1.0 / Float64(Float64(Float64(b * -2.0) / c) + Float64(Float64(a * 1.5) / b))) end
function tmp = code(a, b, c) tmp = 1.0 / (((b * -2.0) / c) + ((a * 1.5) / b)); end
code[a_, b_, c_] := N[(1.0 / N[(N[(N[(b * -2.0), $MachinePrecision] / c), $MachinePrecision] + N[(N[(a * 1.5), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{b \cdot -2}{c} + \frac{a \cdot 1.5}{b}}
\end{array}
Initial program 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
associate-/l/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6431.4%
Applied egg-rr31.4%
Taylor expanded in a around 0
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6492.2%
Simplified92.2%
(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 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Taylor expanded in b around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6481.7%
Simplified81.7%
(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 31.4%
/-lowering-/.f64N/A
+-commutativeN/A
unsub-negN/A
--lowering--.f64N/A
sqrt-lowering-sqrt.f64N/A
sub-negN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
*-commutativeN/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.4%
Simplified31.4%
Taylor expanded in b around inf
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6481.7%
Simplified81.7%
associate-/l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f6481.5%
Applied egg-rr81.5%
Final simplification81.5%
herbie shell --seed 2024156
(FPCore (a b c)
:name "Cubic critical, medium range"
:precision binary64
:pre (and (and (and (< 1.1102230246251565e-16 a) (< a 9007199254740992.0)) (and (< 1.1102230246251565e-16 b) (< b 9007199254740992.0))) (and (< 1.1102230246251565e-16 c) (< c 9007199254740992.0)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))