
(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 8 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 (* a (* c -4.0))) (t_1 (+ (* b b) t_0)))
(/
(/
(+
(* -64.0 (* (* a (* a a)) (* c (* c c))))
(*
(* b b)
(+ (* (* (* a a) (* c c)) 48.0) (* (* b b) (* (* a c) -12.0)))))
(* (+ (* t_1 t_1) (* (* b b) (+ t_0 (* (* b b) 2.0)))) (+ b (sqrt t_1))))
(* a 2.0))))
double code(double a, double b, double c) {
double t_0 = a * (c * -4.0);
double t_1 = (b * b) + t_0;
return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * ((a * c) * -12.0))))) / (((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))) * (b + sqrt(t_1)))) / (a * 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 = a * (c * (-4.0d0))
t_1 = (b * b) + t_0
code = ((((-64.0d0) * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0d0) + ((b * b) * ((a * c) * (-12.0d0)))))) / (((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0d0)))) * (b + sqrt(t_1)))) / (a * 2.0d0)
end function
public static double code(double a, double b, double c) {
double t_0 = a * (c * -4.0);
double t_1 = (b * b) + t_0;
return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * ((a * c) * -12.0))))) / (((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))) * (b + Math.sqrt(t_1)))) / (a * 2.0);
}
def code(a, b, c): t_0 = a * (c * -4.0) t_1 = (b * b) + t_0 return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * ((a * c) * -12.0))))) / (((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))) * (b + math.sqrt(t_1)))) / (a * 2.0)
function code(a, b, c) t_0 = Float64(a * Float64(c * -4.0)) t_1 = Float64(Float64(b * b) + t_0) return Float64(Float64(Float64(Float64(-64.0 * Float64(Float64(a * Float64(a * a)) * Float64(c * Float64(c * c)))) + Float64(Float64(b * b) * Float64(Float64(Float64(Float64(a * a) * Float64(c * c)) * 48.0) + Float64(Float64(b * b) * Float64(Float64(a * c) * -12.0))))) / Float64(Float64(Float64(t_1 * t_1) + Float64(Float64(b * b) * Float64(t_0 + Float64(Float64(b * b) * 2.0)))) * Float64(b + sqrt(t_1)))) / Float64(a * 2.0)) end
function tmp = code(a, b, c) t_0 = a * (c * -4.0); t_1 = (b * b) + t_0; tmp = (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * ((a * c) * -12.0))))) / (((t_1 * t_1) + ((b * b) * (t_0 + ((b * b) * 2.0)))) * (b + sqrt(t_1)))) / (a * 2.0); end
code[a_, b_, c_] := Block[{t$95$0 = N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] + t$95$0), $MachinePrecision]}, N[(N[(N[(N[(-64.0 * N[(N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision] * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(N[(N[(a * a), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * 48.0), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(a * c), $MachinePrecision] * -12.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(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] * N[(b + N[Sqrt[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(a * 2.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := a \cdot \left(c \cdot -4\right)\\
t_1 := b \cdot b + t\_0\\
\frac{\frac{-64 \cdot \left(\left(a \cdot \left(a \cdot a\right)\right) \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) + \left(b \cdot b\right) \cdot \left(\left(\left(a \cdot a\right) \cdot \left(c \cdot c\right)\right) \cdot 48 + \left(b \cdot b\right) \cdot \left(\left(a \cdot c\right) \cdot -12\right)\right)}{\left(t\_1 \cdot t\_1 + \left(b \cdot b\right) \cdot \left(t\_0 + \left(b \cdot b\right) \cdot 2\right)\right) \cdot \left(b + \sqrt{t\_1}\right)}}{a \cdot 2}
\end{array}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Applied egg-rr16.6%
Taylor expanded in b around 0
+-lowering-+.f64N/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
Simplified98.9%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
Final simplification99.0%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* a (* c -4.0))) (t_1 (+ (* b b) t_0)))
(/
(+
(* (* c (* c c)) (* -64.0 (* a (* a a))))
(*
(* b b)
(+ (* (* b b) (* (* a c) -12.0)) (* a (* a (* (* c c) 48.0))))))
(*
(+ b (sqrt t_1))
(* (* a 2.0) (+ (* t_1 t_1) (* b (* b (+ t_0 (* b (* b 2.0)))))))))))
double code(double a, double b, double c) {
double t_0 = a * (c * -4.0);
double t_1 = (b * b) + t_0;
return (((c * (c * c)) * (-64.0 * (a * (a * a)))) + ((b * b) * (((b * b) * ((a * c) * -12.0)) + (a * (a * ((c * c) * 48.0)))))) / ((b + sqrt(t_1)) * ((a * 2.0) * ((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 = a * (c * (-4.0d0))
t_1 = (b * b) + t_0
code = (((c * (c * c)) * ((-64.0d0) * (a * (a * a)))) + ((b * b) * (((b * b) * ((a * c) * (-12.0d0))) + (a * (a * ((c * c) * 48.0d0)))))) / ((b + sqrt(t_1)) * ((a * 2.0d0) * ((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 = a * (c * -4.0);
double t_1 = (b * b) + t_0;
return (((c * (c * c)) * (-64.0 * (a * (a * a)))) + ((b * b) * (((b * b) * ((a * c) * -12.0)) + (a * (a * ((c * c) * 48.0)))))) / ((b + Math.sqrt(t_1)) * ((a * 2.0) * ((t_1 * t_1) + (b * (b * (t_0 + (b * (b * 2.0))))))));
}
def code(a, b, c): t_0 = a * (c * -4.0) t_1 = (b * b) + t_0 return (((c * (c * c)) * (-64.0 * (a * (a * a)))) + ((b * b) * (((b * b) * ((a * c) * -12.0)) + (a * (a * ((c * c) * 48.0)))))) / ((b + math.sqrt(t_1)) * ((a * 2.0) * ((t_1 * t_1) + (b * (b * (t_0 + (b * (b * 2.0))))))))
function code(a, b, c) t_0 = Float64(a * Float64(c * -4.0)) t_1 = Float64(Float64(b * b) + t_0) return Float64(Float64(Float64(Float64(c * Float64(c * c)) * Float64(-64.0 * Float64(a * Float64(a * a)))) + Float64(Float64(b * b) * Float64(Float64(Float64(b * b) * Float64(Float64(a * c) * -12.0)) + Float64(a * Float64(a * Float64(Float64(c * c) * 48.0)))))) / Float64(Float64(b + sqrt(t_1)) * Float64(Float64(a * 2.0) * Float64(Float64(t_1 * t_1) + Float64(b * Float64(b * Float64(t_0 + Float64(b * Float64(b * 2.0))))))))) end
function tmp = code(a, b, c) t_0 = a * (c * -4.0); t_1 = (b * b) + t_0; tmp = (((c * (c * c)) * (-64.0 * (a * (a * a)))) + ((b * b) * (((b * b) * ((a * c) * -12.0)) + (a * (a * ((c * c) * 48.0)))))) / ((b + sqrt(t_1)) * ((a * 2.0) * ((t_1 * t_1) + (b * (b * (t_0 + (b * (b * 2.0)))))))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] + t$95$0), $MachinePrecision]}, N[(N[(N[(N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(-64.0 * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(N[(b * b), $MachinePrecision] * N[(N[(a * c), $MachinePrecision] * -12.0), $MachinePrecision]), $MachinePrecision] + N[(a * N[(a * N[(N[(c * c), $MachinePrecision] * 48.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b + N[Sqrt[t$95$1], $MachinePrecision]), $MachinePrecision] * N[(N[(a * 2.0), $MachinePrecision] * N[(N[(t$95$1 * t$95$1), $MachinePrecision] + N[(b * N[(b * N[(t$95$0 + N[(b * N[(b * 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := a \cdot \left(c \cdot -4\right)\\
t_1 := b \cdot b + t\_0\\
\frac{\left(c \cdot \left(c \cdot c\right)\right) \cdot \left(-64 \cdot \left(a \cdot \left(a \cdot a\right)\right)\right) + \left(b \cdot b\right) \cdot \left(\left(b \cdot b\right) \cdot \left(\left(a \cdot c\right) \cdot -12\right) + a \cdot \left(a \cdot \left(\left(c \cdot c\right) \cdot 48\right)\right)\right)}{\left(b + \sqrt{t\_1}\right) \cdot \left(\left(a \cdot 2\right) \cdot \left(t\_1 \cdot t\_1 + b \cdot \left(b \cdot \left(t\_0 + b \cdot \left(b \cdot 2\right)\right)\right)\right)\right)}
\end{array}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Applied egg-rr16.6%
Taylor expanded in b around 0
+-lowering-+.f64N/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
Simplified98.9%
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr99.0%
Applied egg-rr98.9%
Final simplification98.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* (* a c) -12.0)))
(/
(/
(+
(* -64.0 (* (* a (* a a)) (* c (* c c))))
(* (* b b) (+ (* (* (* a a) (* c c)) 48.0) (* (* b b) t_0))))
(*
(+ b (sqrt (+ (* b b) (* a (* c -4.0)))))
(+ (* (* c c) (* (* a a) 16.0)) (* (* b b) (+ t_0 (* (* b b) 3.0))))))
(* a 2.0))))
double code(double a, double b, double c) {
double t_0 = (a * c) * -12.0;
return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * t_0)))) / ((b + sqrt(((b * b) + (a * (c * -4.0))))) * (((c * c) * ((a * a) * 16.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 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
t_0 = (a * c) * (-12.0d0)
code = ((((-64.0d0) * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0d0) + ((b * b) * t_0)))) / ((b + sqrt(((b * b) + (a * (c * (-4.0d0)))))) * (((c * c) * ((a * a) * 16.0d0)) + ((b * b) * (t_0 + ((b * b) * 3.0d0)))))) / (a * 2.0d0)
end function
public static double code(double a, double b, double c) {
double t_0 = (a * c) * -12.0;
return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * t_0)))) / ((b + Math.sqrt(((b * b) + (a * (c * -4.0))))) * (((c * c) * ((a * a) * 16.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 2.0);
}
def code(a, b, c): t_0 = (a * c) * -12.0 return (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * t_0)))) / ((b + math.sqrt(((b * b) + (a * (c * -4.0))))) * (((c * c) * ((a * a) * 16.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 2.0)
function code(a, b, c) t_0 = Float64(Float64(a * c) * -12.0) return Float64(Float64(Float64(Float64(-64.0 * Float64(Float64(a * Float64(a * a)) * Float64(c * Float64(c * c)))) + Float64(Float64(b * b) * Float64(Float64(Float64(Float64(a * a) * Float64(c * c)) * 48.0) + Float64(Float64(b * b) * t_0)))) / Float64(Float64(b + sqrt(Float64(Float64(b * b) + Float64(a * Float64(c * -4.0))))) * Float64(Float64(Float64(c * c) * Float64(Float64(a * a) * 16.0)) + Float64(Float64(b * b) * Float64(t_0 + Float64(Float64(b * b) * 3.0)))))) / Float64(a * 2.0)) end
function tmp = code(a, b, c) t_0 = (a * c) * -12.0; tmp = (((-64.0 * ((a * (a * a)) * (c * (c * c)))) + ((b * b) * ((((a * a) * (c * c)) * 48.0) + ((b * b) * t_0)))) / ((b + sqrt(((b * b) + (a * (c * -4.0))))) * (((c * c) * ((a * a) * 16.0)) + ((b * b) * (t_0 + ((b * b) * 3.0)))))) / (a * 2.0); end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(a * c), $MachinePrecision] * -12.0), $MachinePrecision]}, N[(N[(N[(N[(-64.0 * N[(N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision] * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * N[(N[(N[(N[(a * a), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * 48.0), $MachinePrecision] + N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b + N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(c * c), $MachinePrecision] * N[(N[(a * a), $MachinePrecision] * 16.0), $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 * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(a \cdot c\right) \cdot -12\\
\frac{\frac{-64 \cdot \left(\left(a \cdot \left(a \cdot a\right)\right) \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) + \left(b \cdot b\right) \cdot \left(\left(\left(a \cdot a\right) \cdot \left(c \cdot c\right)\right) \cdot 48 + \left(b \cdot b\right) \cdot t\_0\right)}{\left(b + \sqrt{b \cdot b + a \cdot \left(c \cdot -4\right)}\right) \cdot \left(\left(c \cdot c\right) \cdot \left(\left(a \cdot a\right) \cdot 16\right) + \left(b \cdot b\right) \cdot \left(t\_0 + \left(b \cdot b\right) \cdot 3\right)\right)}}{a \cdot 2}
\end{array}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Applied egg-rr16.6%
Taylor expanded in b around 0
+-lowering-+.f64N/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
Simplified98.9%
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-*.f6498.9%
Simplified98.9%
Final simplification98.9%
(FPCore (a b c)
:precision binary64
(-
(*
a
(-
(*
a
(+
(/ (* c (* (* c c) -2.0)) (pow b 5.0))
(/
(*
(/ (* c (* c (* c c))) (* (* b b) (* b (* b (* b b)))))
(* (* a 20.0) -0.25))
b)))
(/ (/ (/ (* c c) b) b) b)))
(/ c b)))
double code(double a, double b, double c) {
return (a * ((a * (((c * ((c * c) * -2.0)) / pow(b, 5.0)) + ((((c * (c * (c * c))) / ((b * b) * (b * (b * (b * b))))) * ((a * 20.0) * -0.25)) / 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 * ((a * (((c * ((c * c) * (-2.0d0))) / (b ** 5.0d0)) + ((((c * (c * (c * c))) / ((b * b) * (b * (b * (b * b))))) * ((a * 20.0d0) * (-0.25d0))) / b))) - ((((c * c) / b) / b) / b))) - (c / b)
end function
public static double code(double a, double b, double c) {
return (a * ((a * (((c * ((c * c) * -2.0)) / Math.pow(b, 5.0)) + ((((c * (c * (c * c))) / ((b * b) * (b * (b * (b * b))))) * ((a * 20.0) * -0.25)) / b))) - ((((c * c) / b) / b) / b))) - (c / b);
}
def code(a, b, c): return (a * ((a * (((c * ((c * c) * -2.0)) / math.pow(b, 5.0)) + ((((c * (c * (c * c))) / ((b * b) * (b * (b * (b * b))))) * ((a * 20.0) * -0.25)) / b))) - ((((c * c) / b) / b) / b))) - (c / b)
function code(a, b, c) return Float64(Float64(a * Float64(Float64(a * Float64(Float64(Float64(c * Float64(Float64(c * c) * -2.0)) / (b ^ 5.0)) + Float64(Float64(Float64(Float64(c * Float64(c * Float64(c * c))) / Float64(Float64(b * b) * Float64(b * Float64(b * Float64(b * b))))) * Float64(Float64(a * 20.0) * -0.25)) / b))) - Float64(Float64(Float64(Float64(c * c) / b) / b) / b))) - Float64(c / b)) end
function tmp = code(a, b, c) tmp = (a * ((a * (((c * ((c * c) * -2.0)) / (b ^ 5.0)) + ((((c * (c * (c * c))) / ((b * b) * (b * (b * (b * b))))) * ((a * 20.0) * -0.25)) / b))) - ((((c * c) / b) / b) / b))) - (c / b); end
code[a_, b_, c_] := N[(N[(a * N[(N[(a * N[(N[(N[(c * N[(N[(c * c), $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(a * 20.0), $MachinePrecision] * -0.25), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(c * c), $MachinePrecision] / b), $MachinePrecision] / b), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
a \cdot \left(a \cdot \left(\frac{c \cdot \left(\left(c \cdot c\right) \cdot -2\right)}{{b}^{5}} + \frac{\frac{c \cdot \left(c \cdot \left(c \cdot c\right)\right)}{\left(b \cdot b\right) \cdot \left(b \cdot \left(b \cdot \left(b \cdot b\right)\right)\right)} \cdot \left(\left(a \cdot 20\right) \cdot -0.25\right)}{b}\right) - \frac{\frac{\frac{c \cdot c}{b}}{b}}{b}\right) - \frac{c}{b}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Taylor expanded in a around 0
Simplified98.6%
Applied egg-rr98.6%
Final simplification98.6%
(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 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Taylor expanded in a around 0
Simplified98.6%
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-*.f6498.1%
Simplified98.1%
(FPCore (a b c) :precision binary64 (/ (* c (- (* c (- (/ (* -2.0 (* (* a a) c)) (* b (* b b))) (/ a b))) b)) (* b b)))
double code(double a, double b, double c) {
return (c * ((c * (((-2.0 * ((a * a) * c)) / (b * (b * b))) - (a / 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 * ((c * ((((-2.0d0) * ((a * a) * c)) / (b * (b * b))) - (a / b))) - b)) / (b * b)
end function
public static double code(double a, double b, double c) {
return (c * ((c * (((-2.0 * ((a * a) * c)) / (b * (b * b))) - (a / b))) - b)) / (b * b);
}
def code(a, b, c): return (c * ((c * (((-2.0 * ((a * a) * c)) / (b * (b * b))) - (a / b))) - b)) / (b * b)
function code(a, b, c) return Float64(Float64(c * Float64(Float64(c * Float64(Float64(Float64(-2.0 * Float64(Float64(a * a) * c)) / Float64(b * Float64(b * b))) - Float64(a / b))) - b)) / Float64(b * b)) end
function tmp = code(a, b, c) tmp = (c * ((c * (((-2.0 * ((a * a) * c)) / (b * (b * b))) - (a / b))) - b)) / (b * b); end
code[a_, b_, c_] := N[(N[(c * N[(N[(c * N[(N[(N[(-2.0 * N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(a / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - b), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c \cdot \left(c \cdot \left(\frac{-2 \cdot \left(\left(a \cdot a\right) \cdot c\right)}{b \cdot \left(b \cdot b\right)} - \frac{a}{b}\right) - b\right)}{b \cdot b}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified98.0%
div-subN/A
frac-subN/A
/-lowering-/.f64N/A
Applied egg-rr97.6%
Taylor expanded in c around 0
*-lowering-*.f64N/A
--lowering--.f64N/A
Simplified97.6%
(FPCore (a b c) :precision binary64 (/ (- (/ (* a (* c c)) (- 0.0 (* b b))) c) b))
double code(double a, double b, double c) {
return (((a * (c * c)) / (0.0 - (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)) / (0.0d0 - (b * b))) - c) / b
end function
public static double code(double a, double b, double c) {
return (((a * (c * c)) / (0.0 - (b * b))) - c) / b;
}
def code(a, b, c): return (((a * (c * c)) / (0.0 - (b * b))) - c) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(a * Float64(c * c)) / Float64(0.0 - Float64(b * b))) - c) / b) end
function tmp = code(a, b, c) tmp = (((a * (c * c)) / (0.0 - (b * b))) - c) / b; end
code[a_, b_, c_] := N[(N[(N[(N[(a * N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(0.0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{a \cdot \left(c \cdot c\right)}{0 - b \cdot b} - c}{b}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Taylor expanded in c around inf
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6415.3%
Simplified15.3%
Taylor expanded in b around inf
/-lowering-/.f64N/A
mul-1-negN/A
+-commutativeN/A
sub-negN/A
--lowering--.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
mul-1-negN/A
neg-lowering-neg.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6496.7%
Simplified96.7%
Final simplification96.7%
(FPCore (a b c) :precision binary64 (/ c (- 0.0 b)))
double code(double a, double b, double c) {
return c / (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 / (0.0d0 - b)
end function
public static double code(double a, double b, double c) {
return c / (0.0 - b);
}
def code(a, b, c): return c / (0.0 - b)
function code(a, b, c) return Float64(c / Float64(0.0 - b)) end
function tmp = code(a, b, c) tmp = c / (0.0 - b); end
code[a_, b_, c_] := N[(c / N[(0.0 - b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{c}{0 - b}
\end{array}
Initial program 15.4%
/-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
associate-*l*N/A
distribute-rgt-neg-inN/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-rgt-neg-inN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-commutativeN/A
Simplified15.4%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified98.0%
Taylor expanded in a around 0
mul-1-negN/A
neg-lowering-neg.f6492.6%
Simplified92.6%
Final simplification92.6%
herbie shell --seed 2024145
(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)))