
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((4.0d0 * a) * c)))) / (2.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((4.0d0 * a) * c)))) / (2.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
\end{array}
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))) (t_1 (* (* b b) t_0)))
(/
(* 0.5 c)
(+
(* b -0.5)
(*
c
(+
(*
c
(+
(/ (* 0.5 (* a a)) t_0)
(*
c
(-
(* a (- (/ (/ (* -0.5 (* a a)) t_0) (* b b)) (/ (* a a) t_1)))
(/ (* (/ b (/ (* b t_1) (* a (* a (* a a))))) -2.5) a)))))
(/ (* 0.5 a) b)))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return (0.5 * c) / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / 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
real(8) :: t_1
t_0 = b * (b * b)
t_1 = (b * b) * t_0
code = (0.5d0 * c) / ((b * (-0.5d0)) + (c * ((c * (((0.5d0 * (a * a)) / t_0) + (c * ((a * (((((-0.5d0) * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * (-2.5d0)) / a))))) + ((0.5d0 * a) / b))))
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return (0.5 * c) / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b))));
}
def code(a, b, c): t_0 = b * (b * b) t_1 = (b * b) * t_0 return (0.5 * c) / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b))))
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) t_1 = Float64(Float64(b * b) * t_0) return Float64(Float64(0.5 * c) / Float64(Float64(b * -0.5) + Float64(c * Float64(Float64(c * Float64(Float64(Float64(0.5 * Float64(a * a)) / t_0) + Float64(c * Float64(Float64(a * Float64(Float64(Float64(Float64(-0.5 * Float64(a * a)) / t_0) / Float64(b * b)) - Float64(Float64(a * a) / t_1))) - Float64(Float64(Float64(b / Float64(Float64(b * t_1) / Float64(a * Float64(a * Float64(a * a))))) * -2.5) / a))))) + Float64(Float64(0.5 * a) / b))))) end
function tmp = code(a, b, c) t_0 = b * (b * b); t_1 = (b * b) * t_0; tmp = (0.5 * c) / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(0.5 * c), $MachinePrecision] / N[(N[(b * -0.5), $MachinePrecision] + N[(c * N[(N[(c * N[(N[(N[(0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(c * N[(N[(a * N[(N[(N[(N[(-0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(N[(a * a), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(b / N[(N[(b * t$95$1), $MachinePrecision] / N[(a * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -2.5), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
t_1 := \left(b \cdot b\right) \cdot t\_0\\
\frac{0.5 \cdot c}{b \cdot -0.5 + c \cdot \left(c \cdot \left(\frac{0.5 \cdot \left(a \cdot a\right)}{t\_0} + c \cdot \left(a \cdot \left(\frac{\frac{-0.5 \cdot \left(a \cdot a\right)}{t\_0}}{b \cdot b} - \frac{a \cdot a}{t\_1}\right) - \frac{\frac{b}{\frac{b \cdot t\_1}{a \cdot \left(a \cdot \left(a \cdot a\right)\right)}} \cdot -2.5}{a}\right)\right) + \frac{0.5 \cdot a}{b}\right)}
\end{array}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
Simplified95.6%
Applied egg-rr95.9%
Final simplification95.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))) (t_1 (* (* b b) t_0)))
(/
0.5
(/
(+
(* b -0.5)
(*
c
(+
(*
c
(+
(/ (* 0.5 (* a a)) t_0)
(*
c
(-
(* a (- (/ (/ (* -0.5 (* a a)) t_0) (* b b)) (/ (* a a) t_1)))
(/ (* (/ b (/ (* b t_1) (* a (* a (* a a))))) -2.5) a)))))
(/ (* 0.5 a) b))))
c))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return 0.5 / (((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))) / c);
}
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 = b * (b * b)
t_1 = (b * b) * t_0
code = 0.5d0 / (((b * (-0.5d0)) + (c * ((c * (((0.5d0 * (a * a)) / t_0) + (c * ((a * (((((-0.5d0) * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * (-2.5d0)) / a))))) + ((0.5d0 * a) / b)))) / c)
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return 0.5 / (((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))) / c);
}
def code(a, b, c): t_0 = b * (b * b) t_1 = (b * b) * t_0 return 0.5 / (((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))) / c)
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) t_1 = Float64(Float64(b * b) * t_0) return Float64(0.5 / Float64(Float64(Float64(b * -0.5) + Float64(c * Float64(Float64(c * Float64(Float64(Float64(0.5 * Float64(a * a)) / t_0) + Float64(c * Float64(Float64(a * Float64(Float64(Float64(Float64(-0.5 * Float64(a * a)) / t_0) / Float64(b * b)) - Float64(Float64(a * a) / t_1))) - Float64(Float64(Float64(b / Float64(Float64(b * t_1) / Float64(a * Float64(a * Float64(a * a))))) * -2.5) / a))))) + Float64(Float64(0.5 * a) / b)))) / c)) end
function tmp = code(a, b, c) t_0 = b * (b * b); t_1 = (b * b) * t_0; tmp = 0.5 / (((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))) / c); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(0.5 / N[(N[(N[(b * -0.5), $MachinePrecision] + N[(c * N[(N[(c * N[(N[(N[(0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(c * N[(N[(a * N[(N[(N[(N[(-0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(N[(a * a), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(b / N[(N[(b * t$95$1), $MachinePrecision] / N[(a * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -2.5), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
t_1 := \left(b \cdot b\right) \cdot t\_0\\
\frac{0.5}{\frac{b \cdot -0.5 + c \cdot \left(c \cdot \left(\frac{0.5 \cdot \left(a \cdot a\right)}{t\_0} + c \cdot \left(a \cdot \left(\frac{\frac{-0.5 \cdot \left(a \cdot a\right)}{t\_0}}{b \cdot b} - \frac{a \cdot a}{t\_1}\right) - \frac{\frac{b}{\frac{b \cdot t\_1}{a \cdot \left(a \cdot \left(a \cdot a\right)\right)}} \cdot -2.5}{a}\right)\right) + \frac{0.5 \cdot a}{b}\right)}{c}}
\end{array}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
Simplified95.6%
Applied egg-rr95.6%
Final simplification95.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))) (t_1 (* (* b b) t_0)))
(*
c
(/
0.5
(+
(* b -0.5)
(*
c
(+
(*
c
(+
(/ (* 0.5 (* a a)) t_0)
(*
c
(-
(* a (- (/ (/ (* -0.5 (* a a)) t_0) (* b b)) (/ (* a a) t_1)))
(/ (* (/ b (/ (* b t_1) (* a (* a (* a a))))) -2.5) a)))))
(/ (* 0.5 a) b))))))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return c * (0.5 / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / 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
real(8) :: t_1
t_0 = b * (b * b)
t_1 = (b * b) * t_0
code = c * (0.5d0 / ((b * (-0.5d0)) + (c * ((c * (((0.5d0 * (a * a)) / t_0) + (c * ((a * (((((-0.5d0) * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * (-2.5d0)) / a))))) + ((0.5d0 * a) / b)))))
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
double t_1 = (b * b) * t_0;
return c * (0.5 / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))));
}
def code(a, b, c): t_0 = b * (b * b) t_1 = (b * b) * t_0 return c * (0.5 / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b)))))
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) t_1 = Float64(Float64(b * b) * t_0) return Float64(c * Float64(0.5 / Float64(Float64(b * -0.5) + Float64(c * Float64(Float64(c * Float64(Float64(Float64(0.5 * Float64(a * a)) / t_0) + Float64(c * Float64(Float64(a * Float64(Float64(Float64(Float64(-0.5 * Float64(a * a)) / t_0) / Float64(b * b)) - Float64(Float64(a * a) / t_1))) - Float64(Float64(Float64(b / Float64(Float64(b * t_1) / Float64(a * Float64(a * Float64(a * a))))) * -2.5) / a))))) + Float64(Float64(0.5 * a) / b)))))) end
function tmp = code(a, b, c) t_0 = b * (b * b); t_1 = (b * b) * t_0; tmp = c * (0.5 / ((b * -0.5) + (c * ((c * (((0.5 * (a * a)) / t_0) + (c * ((a * ((((-0.5 * (a * a)) / t_0) / (b * b)) - ((a * a) / t_1))) - (((b / ((b * t_1) / (a * (a * (a * a))))) * -2.5) / a))))) + ((0.5 * a) / b))))); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(c * N[(0.5 / N[(N[(b * -0.5), $MachinePrecision] + N[(c * N[(N[(c * N[(N[(N[(0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(c * N[(N[(a * N[(N[(N[(N[(-0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(N[(a * a), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(b / N[(N[(b * t$95$1), $MachinePrecision] / N[(a * N[(a * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -2.5), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 * a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
t_1 := \left(b \cdot b\right) \cdot t\_0\\
c \cdot \frac{0.5}{b \cdot -0.5 + c \cdot \left(c \cdot \left(\frac{0.5 \cdot \left(a \cdot a\right)}{t\_0} + c \cdot \left(a \cdot \left(\frac{\frac{-0.5 \cdot \left(a \cdot a\right)}{t\_0}}{b \cdot b} - \frac{a \cdot a}{t\_1}\right) - \frac{\frac{b}{\frac{b \cdot t\_1}{a \cdot \left(a \cdot \left(a \cdot a\right)\right)}} \cdot -2.5}{a}\right)\right) + \frac{0.5 \cdot a}{b}\right)}
\end{array}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
Simplified95.6%
Applied egg-rr95.5%
Final simplification95.5%
(FPCore (a b c) :precision binary64 (/ (* 0.5 c) (+ (* b -0.5) (* c (+ (/ (* 0.5 a) b) (/ (* c (* 0.5 (* a a))) (* b (* b b))))))))
double code(double a, double b, double c) {
return (0.5 * c) / ((b * -0.5) + (c * (((0.5 * a) / b) + ((c * (0.5 * (a * a))) / (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 = (0.5d0 * c) / ((b * (-0.5d0)) + (c * (((0.5d0 * a) / b) + ((c * (0.5d0 * (a * a))) / (b * (b * b))))))
end function
public static double code(double a, double b, double c) {
return (0.5 * c) / ((b * -0.5) + (c * (((0.5 * a) / b) + ((c * (0.5 * (a * a))) / (b * (b * b))))));
}
def code(a, b, c): return (0.5 * c) / ((b * -0.5) + (c * (((0.5 * a) / b) + ((c * (0.5 * (a * a))) / (b * (b * b))))))
function code(a, b, c) return Float64(Float64(0.5 * c) / Float64(Float64(b * -0.5) + Float64(c * Float64(Float64(Float64(0.5 * a) / b) + Float64(Float64(c * Float64(0.5 * Float64(a * a))) / Float64(b * Float64(b * b))))))) end
function tmp = code(a, b, c) tmp = (0.5 * c) / ((b * -0.5) + (c * (((0.5 * a) / b) + ((c * (0.5 * (a * a))) / (b * (b * b)))))); end
code[a_, b_, c_] := N[(N[(0.5 * c), $MachinePrecision] / N[(N[(b * -0.5), $MachinePrecision] + N[(c * N[(N[(N[(0.5 * a), $MachinePrecision] / b), $MachinePrecision] + N[(N[(c * N[(0.5 * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5 \cdot c}{b \cdot -0.5 + c \cdot \left(\frac{0.5 \cdot a}{b} + \frac{c \cdot \left(0.5 \cdot \left(a \cdot a\right)\right)}{b \cdot \left(b \cdot b\right)}\right)}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
/-lowering-/.f64N/A
Simplified94.1%
associate-/r/N/A
associate-*l/N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr94.4%
(FPCore (a b c) :precision binary64 (/ 0.5 (/ (+ (* b -0.5) (* c (/ (* 0.5 (+ a (/ (* c (* a a)) (* b b)))) b))) c)))
double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) + (c * ((0.5 * (a + ((c * (a * a)) / (b * b)))) / 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 = 0.5d0 / (((b * (-0.5d0)) + (c * ((0.5d0 * (a + ((c * (a * a)) / (b * b)))) / b))) / c)
end function
public static double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) + (c * ((0.5 * (a + ((c * (a * a)) / (b * b)))) / b))) / c);
}
def code(a, b, c): return 0.5 / (((b * -0.5) + (c * ((0.5 * (a + ((c * (a * a)) / (b * b)))) / b))) / c)
function code(a, b, c) return Float64(0.5 / Float64(Float64(Float64(b * -0.5) + Float64(c * Float64(Float64(0.5 * Float64(a + Float64(Float64(c * Float64(a * a)) / Float64(b * b)))) / b))) / c)) end
function tmp = code(a, b, c) tmp = 0.5 / (((b * -0.5) + (c * ((0.5 * (a + ((c * (a * a)) / (b * b)))) / b))) / c); end
code[a_, b_, c_] := N[(0.5 / N[(N[(N[(b * -0.5), $MachinePrecision] + N[(c * N[(N[(0.5 * N[(a + N[(N[(c * N[(a * a), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\frac{b \cdot -0.5 + c \cdot \frac{0.5 \cdot \left(a + \frac{c \cdot \left(a \cdot a\right)}{b \cdot b}\right)}{b}}{c}}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
/-lowering-/.f64N/A
Simplified94.1%
Taylor expanded in b around inf
/-lowering-/.f64N/A
distribute-lft-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6494.1%
Simplified94.1%
(FPCore (a b c) :precision binary64 (/ 0.5 (+ (/ (* b -0.5) c) (* a (+ (* a (/ (* 0.5 c) (* b (* b b)))) (/ 0.5 b))))))
double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) / c) + (a * ((a * ((0.5 * c) / (b * (b * b)))) + (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 = 0.5d0 / (((b * (-0.5d0)) / c) + (a * ((a * ((0.5d0 * c) / (b * (b * b)))) + (0.5d0 / b))))
end function
public static double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) / c) + (a * ((a * ((0.5 * c) / (b * (b * b)))) + (0.5 / b))));
}
def code(a, b, c): return 0.5 / (((b * -0.5) / c) + (a * ((a * ((0.5 * c) / (b * (b * b)))) + (0.5 / b))))
function code(a, b, c) return Float64(0.5 / Float64(Float64(Float64(b * -0.5) / c) + Float64(a * Float64(Float64(a * Float64(Float64(0.5 * c) / Float64(b * Float64(b * b)))) + Float64(0.5 / b))))) end
function tmp = code(a, b, c) tmp = 0.5 / (((b * -0.5) / c) + (a * ((a * ((0.5 * c) / (b * (b * b)))) + (0.5 / b)))); end
code[a_, b_, c_] := N[(0.5 / N[(N[(N[(b * -0.5), $MachinePrecision] / c), $MachinePrecision] + N[(a * N[(N[(a * N[(N[(0.5 * c), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\frac{b \cdot -0.5}{c} + a \cdot \left(a \cdot \frac{0.5 \cdot c}{b \cdot \left(b \cdot b\right)} + \frac{0.5}{b}\right)}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
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
Simplified94.1%
(FPCore (a b c) :precision binary64 (/ 0.5 (/ (+ (* b -0.5) (* 0.5 (/ (* c a) b))) c)))
double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) + (0.5 * ((c * a) / 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 = 0.5d0 / (((b * (-0.5d0)) + (0.5d0 * ((c * a) / b))) / c)
end function
public static double code(double a, double b, double c) {
return 0.5 / (((b * -0.5) + (0.5 * ((c * a) / b))) / c);
}
def code(a, b, c): return 0.5 / (((b * -0.5) + (0.5 * ((c * a) / b))) / c)
function code(a, b, c) return Float64(0.5 / Float64(Float64(Float64(b * -0.5) + Float64(0.5 * Float64(Float64(c * a) / b))) / c)) end
function tmp = code(a, b, c) tmp = 0.5 / (((b * -0.5) + (0.5 * ((c * a) / b))) / c); end
code[a_, b_, c_] := N[(0.5 / N[(N[(N[(b * -0.5), $MachinePrecision] + N[(0.5 * N[(N[(c * a), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\frac{b \cdot -0.5 + 0.5 \cdot \frac{c \cdot a}{b}}{c}}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in c around 0
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6491.1%
Simplified91.1%
(FPCore (a b c) :precision binary64 (/ 0.5 (+ (/ (* 0.5 a) b) (/ (* b -0.5) c))))
double code(double a, double b, double c) {
return 0.5 / (((0.5 * a) / b) + ((b * -0.5) / c));
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = 0.5d0 / (((0.5d0 * a) / b) + ((b * (-0.5d0)) / c))
end function
public static double code(double a, double b, double c) {
return 0.5 / (((0.5 * a) / b) + ((b * -0.5) / c));
}
def code(a, b, c): return 0.5 / (((0.5 * a) / b) + ((b * -0.5) / c))
function code(a, b, c) return Float64(0.5 / Float64(Float64(Float64(0.5 * a) / b) + Float64(Float64(b * -0.5) / c))) end
function tmp = code(a, b, c) tmp = 0.5 / (((0.5 * a) / b) + ((b * -0.5) / c)); end
code[a_, b_, c_] := N[(0.5 / N[(N[(N[(0.5 * a), $MachinePrecision] / b), $MachinePrecision] + N[(N[(b * -0.5), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\frac{0.5 \cdot a}{b} + \frac{b \cdot -0.5}{c}}
\end{array}
Initial program 30.7%
/-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
Simplified30.7%
clear-numN/A
*-commutativeN/A
associate-/l*N/A
associate-/r*N/A
metadata-evalN/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-*.f6430.7%
Applied egg-rr30.7%
Taylor expanded in a around 0
metadata-evalN/A
distribute-lft-neg-inN/A
+-lowering-+.f64N/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f6491.0%
Simplified91.0%
Final simplification91.0%
(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 30.7%
/-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
Simplified30.7%
Taylor expanded in b around inf
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f6482.0%
Simplified82.0%
sub0-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f6482.0%
Applied egg-rr82.0%
Final simplification82.0%
herbie shell --seed 2024159
(FPCore (a b c)
:name "Quadratic roots, 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) (* (* 4.0 a) c)))) (* 2.0 a)))