
(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 (/ (* -2.0 c) (+ b (sqrt (+ (* b b) (* a (* c -4.0)))))))
double code(double a, double b, double c) {
return (-2.0 * c) / (b + sqrt(((b * b) + (a * (c * -4.0)))));
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = ((-2.0d0) * c) / (b + sqrt(((b * b) + (a * (c * (-4.0d0))))))
end function
public static double code(double a, double b, double c) {
return (-2.0 * c) / (b + Math.sqrt(((b * b) + (a * (c * -4.0)))));
}
def code(a, b, c): return (-2.0 * c) / (b + math.sqrt(((b * b) + (a * (c * -4.0)))))
function code(a, b, c) return Float64(Float64(-2.0 * c) / Float64(b + sqrt(Float64(Float64(b * b) + Float64(a * Float64(c * -4.0)))))) end
function tmp = code(a, b, c) tmp = (-2.0 * c) / (b + sqrt(((b * b) + (a * (c * -4.0))))); end
code[a_, b_, c_] := N[(N[(-2.0 * c), $MachinePrecision] / N[(b + N[Sqrt[N[(N[(b * b), $MachinePrecision] + N[(a * N[(c * -4.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{-2 \cdot c}{b + \sqrt{b \cdot b + a \cdot \left(c \cdot -4\right)}}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
div-invN/A
flip--N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr33.2%
Taylor expanded in b around 0
*-lowering-*.f6499.8%
Simplified99.8%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* b (* b b))))
(-
(*
a
(-
(*
a
(+
(*
(/ (* a (* (* c (* c (* c c))) 20.0)) (* (* b b) (* b t_0)))
(/ -0.25 b))
(/ (* c (* -2.0 (* c c))) (* (* b b) t_0))))
(/ (* c c) t_0)))
(/ c b))))
double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((a * ((((a * ((c * (c * (c * c))) * 20.0)) / ((b * b) * (b * t_0))) * (-0.25 / b)) + ((c * (-2.0 * (c * c))) / ((b * b) * t_0)))) - ((c * c) / t_0))) - (c / b);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: t_0
t_0 = b * (b * b)
code = (a * ((a * ((((a * ((c * (c * (c * c))) * 20.0d0)) / ((b * b) * (b * t_0))) * ((-0.25d0) / b)) + ((c * ((-2.0d0) * (c * c))) / ((b * b) * t_0)))) - ((c * c) / t_0))) - (c / b)
end function
public static double code(double a, double b, double c) {
double t_0 = b * (b * b);
return (a * ((a * ((((a * ((c * (c * (c * c))) * 20.0)) / ((b * b) * (b * t_0))) * (-0.25 / b)) + ((c * (-2.0 * (c * c))) / ((b * b) * t_0)))) - ((c * c) / t_0))) - (c / b);
}
def code(a, b, c): t_0 = b * (b * b) return (a * ((a * ((((a * ((c * (c * (c * c))) * 20.0)) / ((b * b) * (b * t_0))) * (-0.25 / b)) + ((c * (-2.0 * (c * c))) / ((b * b) * t_0)))) - ((c * c) / t_0))) - (c / b)
function code(a, b, c) t_0 = Float64(b * Float64(b * b)) return Float64(Float64(a * Float64(Float64(a * Float64(Float64(Float64(Float64(a * Float64(Float64(c * Float64(c * Float64(c * c))) * 20.0)) / Float64(Float64(b * b) * Float64(b * t_0))) * Float64(-0.25 / b)) + Float64(Float64(c * Float64(-2.0 * Float64(c * c))) / Float64(Float64(b * b) * t_0)))) - Float64(Float64(c * c) / t_0))) - Float64(c / b)) end
function tmp = code(a, b, c) t_0 = b * (b * b); tmp = (a * ((a * ((((a * ((c * (c * (c * c))) * 20.0)) / ((b * b) * (b * t_0))) * (-0.25 / b)) + ((c * (-2.0 * (c * c))) / ((b * b) * t_0)))) - ((c * c) / t_0))) - (c / b); end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]}, N[(N[(a * N[(N[(a * N[(N[(N[(N[(a * N[(N[(c * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 20.0), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.25 / b), $MachinePrecision]), $MachinePrecision] + N[(N[(c * N[(-2.0 * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(c * c), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := b \cdot \left(b \cdot b\right)\\
a \cdot \left(a \cdot \left(\frac{a \cdot \left(\left(c \cdot \left(c \cdot \left(c \cdot c\right)\right)\right) \cdot 20\right)}{\left(b \cdot b\right) \cdot \left(b \cdot t\_0\right)} \cdot \frac{-0.25}{b} + \frac{c \cdot \left(-2 \cdot \left(c \cdot c\right)\right)}{\left(b \cdot b\right) \cdot t\_0}\right) - \frac{c \cdot c}{t\_0}\right) - \frac{c}{b}
\end{array}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in a around 0
Simplified95.8%
Applied egg-rr95.8%
Final simplification95.8%
(FPCore (a b c) :precision binary64 (/ (- (/ (* (* -2.0 (* a a)) (* c (* c c))) (* (* b b) (* b b))) (+ c (/ (* a (* c c)) (* b b)))) b))
double code(double a, double b, double c) {
return ((((-2.0 * (a * a)) * (c * (c * c))) / ((b * b) * (b * b))) - (c + ((a * (c * c)) / (b * b)))) / b;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (((((-2.0d0) * (a * a)) * (c * (c * c))) / ((b * b) * (b * b))) - (c + ((a * (c * c)) / (b * b)))) / b
end function
public static double code(double a, double b, double c) {
return ((((-2.0 * (a * a)) * (c * (c * c))) / ((b * b) * (b * b))) - (c + ((a * (c * c)) / (b * b)))) / b;
}
def code(a, b, c): return ((((-2.0 * (a * a)) * (c * (c * c))) / ((b * b) * (b * b))) - (c + ((a * (c * c)) / (b * b)))) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(a * a)) * Float64(c * Float64(c * c))) / Float64(Float64(b * b) * Float64(b * b))) - Float64(c + Float64(Float64(a * Float64(c * c)) / Float64(b * b)))) / b) end
function tmp = code(a, b, c) tmp = ((((-2.0 * (a * a)) * (c * (c * c))) / ((b * b) * (b * b))) - (c + ((a * (c * c)) / (b * b)))) / b; end
code[a_, b_, c_] := N[(N[(N[(N[(N[(-2.0 * N[(a * a), $MachinePrecision]), $MachinePrecision] * N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(b * b), $MachinePrecision] * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c + N[(N[(a * N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(-2 \cdot \left(a \cdot a\right)\right) \cdot \left(c \cdot \left(c \cdot c\right)\right)}{\left(b \cdot b\right) \cdot \left(b \cdot b\right)} - \left(c + \frac{a \cdot \left(c \cdot c\right)}{b \cdot b}\right)}{b}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in b around inf
/-lowering-/.f64N/A
Simplified94.4%
(FPCore (a b c) :precision binary64 (- (/ (- (* (* (/ (* a a) b) (/ (* c (* c c)) b)) (- 0.0 2.0)) (* a (* c c))) (* b (* b b))) (/ c b)))
double code(double a, double b, double c) {
return ((((((a * a) / b) * ((c * (c * c)) / b)) * (0.0 - 2.0)) - (a * (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) / b) * ((c * (c * c)) / b)) * (0.0d0 - 2.0d0)) - (a * (c * c))) / (b * (b * b))) - (c / b)
end function
public static double code(double a, double b, double c) {
return ((((((a * a) / b) * ((c * (c * c)) / b)) * (0.0 - 2.0)) - (a * (c * c))) / (b * (b * b))) - (c / b);
}
def code(a, b, c): return ((((((a * a) / b) * ((c * (c * c)) / b)) * (0.0 - 2.0)) - (a * (c * c))) / (b * (b * b))) - (c / b)
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) / b) * Float64(Float64(c * Float64(c * c)) / b)) * Float64(0.0 - 2.0)) - Float64(a * Float64(c * c))) / Float64(b * Float64(b * b))) - Float64(c / b)) end
function tmp = code(a, b, c) tmp = ((((((a * a) / b) * ((c * (c * c)) / b)) * (0.0 - 2.0)) - (a * (c * c))) / (b * (b * b))) - (c / b); end
code[a_, b_, c_] := N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] / b), $MachinePrecision] * N[(N[(c * N[(c * c), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision] * N[(0.0 - 2.0), $MachinePrecision]), $MachinePrecision] - N[(a * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\frac{a \cdot a}{b} \cdot \frac{c \cdot \left(c \cdot c\right)}{b}\right) \cdot \left(0 - 2\right) - a \cdot \left(c \cdot c\right)}{b \cdot \left(b \cdot b\right)} - \frac{c}{b}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in a around 0
Simplified95.8%
Applied egg-rr95.8%
Taylor expanded in b around -inf
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
Simplified94.4%
Final simplification94.4%
(FPCore (a b c) :precision binary64 (- (/ (* a (- 0.0 (* c c))) (* b (* b b))) (/ c b)))
double code(double a, double b, double c) {
return ((a * (0.0 - (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 * (0.0d0 - (c * c))) / (b * (b * b))) - (c / b)
end function
public static double code(double a, double b, double c) {
return ((a * (0.0 - (c * c))) / (b * (b * b))) - (c / b);
}
def code(a, b, c): return ((a * (0.0 - (c * c))) / (b * (b * b))) - (c / b)
function code(a, b, c) return Float64(Float64(Float64(a * Float64(0.0 - Float64(c * c))) / Float64(b * Float64(b * b))) - Float64(c / b)) end
function tmp = code(a, b, c) tmp = ((a * (0.0 - (c * c))) / (b * (b * b))) - (c / b); end
code[a_, b_, c_] := N[(N[(N[(a * N[(0.0 - N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{a \cdot \left(0 - c \cdot c\right)}{b \cdot \left(b \cdot b\right)} - \frac{c}{b}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in a around 0
Simplified95.8%
Applied egg-rr95.8%
Taylor expanded in a around 0
mul-1-negN/A
neg-lowering-neg.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6490.7%
Simplified90.7%
Final simplification90.7%
(FPCore (a b c) :precision binary64 (/ (- (- 0.0 c) (/ (* a (* c c)) (* b b))) b))
double code(double a, double b, double c) {
return ((0.0 - c) - ((a * (c * c)) / (b * b))) / b;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = ((0.0d0 - c) - ((a * (c * c)) / (b * b))) / b
end function
public static double code(double a, double b, double c) {
return ((0.0 - c) - ((a * (c * c)) / (b * b))) / b;
}
def code(a, b, c): return ((0.0 - c) - ((a * (c * c)) / (b * b))) / b
function code(a, b, c) return Float64(Float64(Float64(0.0 - c) - Float64(Float64(a * Float64(c * c)) / Float64(b * b))) / b) end
function tmp = code(a, b, c) tmp = ((0.0 - c) - ((a * (c * c)) / (b * b))) / b; end
code[a_, b_, c_] := N[(N[(N[(0.0 - c), $MachinePrecision] - N[(N[(a * N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(0 - c\right) - \frac{a \cdot \left(c \cdot c\right)}{b \cdot b}}{b}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in b around inf
/-lowering-/.f64N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
mul-1-negN/A
neg-sub0N/A
--lowering--.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6490.7%
Simplified90.7%
(FPCore (a b c) :precision binary64 (* c (- (/ -1.0 b) (/ (/ (* c (/ a b)) b) b))))
double code(double a, double b, double c) {
return c * ((-1.0 / b) - (((c * (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 = c * (((-1.0d0) / b) - (((c * (a / b)) / b) / b))
end function
public static double code(double a, double b, double c) {
return c * ((-1.0 / b) - (((c * (a / b)) / b) / b));
}
def code(a, b, c): return c * ((-1.0 / b) - (((c * (a / b)) / b) / b))
function code(a, b, c) return Float64(c * Float64(Float64(-1.0 / b) - Float64(Float64(Float64(c * Float64(a / b)) / b) / b))) end
function tmp = code(a, b, c) tmp = c * ((-1.0 / b) - (((c * (a / b)) / b) / b)); end
code[a_, b_, c_] := N[(c * N[(N[(-1.0 / b), $MachinePrecision] - N[(N[(N[(c * N[(a / b), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
c \cdot \left(\frac{-1}{b} - \frac{\frac{c \cdot \frac{a}{b}}{b}}{b}\right)
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in c around 0
sub-negN/A
distribute-neg-fracN/A
metadata-evalN/A
associate-*r/N/A
associate-*r*N/A
associate-*l/N/A
associate-*r/N/A
*-lowering-*.f64N/A
+-commutativeN/A
associate-*r/N/A
associate-*l/N/A
associate-*r*N/A
associate-*r/N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f64N/A
Simplified90.5%
(FPCore (a b c) :precision binary64 (- 0.0 (/ c b)))
double code(double a, double b, double c) {
return 0.0 - (c / b);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = 0.0d0 - (c / b)
end function
public static double code(double a, double b, double c) {
return 0.0 - (c / b);
}
def code(a, b, c): return 0.0 - (c / b)
function code(a, b, c) return Float64(0.0 - Float64(c / b)) end
function tmp = code(a, b, c) tmp = 0.0 - (c / b); end
code[a_, b_, c_] := N[(0.0 - N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
0 - \frac{c}{b}
\end{array}
Initial program 32.3%
/-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
Simplified32.3%
Taylor expanded in a around 0
Simplified95.8%
Taylor expanded in a around 0
associate-*r/N/A
/-lowering-/.f64N/A
mul-1-negN/A
neg-lowering-neg.f6480.9%
Simplified80.9%
Final simplification80.9%
herbie shell --seed 2024191
(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)))