
(FPCore (a b c) :precision binary64 (let* ((t_0 (sqrt (- (* b b) (* (* 4.0 a) c))))) (if (>= b 0.0) (/ (- (- b) t_0) (* 2.0 a)) (/ (* 2.0 c) (+ (- b) t_0)))))
double code(double a, double b, double c) {
double t_0 = sqrt(((b * b) - ((4.0 * a) * c)));
double tmp;
if (b >= 0.0) {
tmp = (-b - t_0) / (2.0 * a);
} else {
tmp = (2.0 * c) / (-b + t_0);
}
return tmp;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(((b * b) - ((4.0d0 * a) * c)))
if (b >= 0.0d0) then
tmp = (-b - t_0) / (2.0d0 * a)
else
tmp = (2.0d0 * c) / (-b + t_0)
end if
code = tmp
end function
public static double code(double a, double b, double c) {
double t_0 = Math.sqrt(((b * b) - ((4.0 * a) * c)));
double tmp;
if (b >= 0.0) {
tmp = (-b - t_0) / (2.0 * a);
} else {
tmp = (2.0 * c) / (-b + t_0);
}
return tmp;
}
def code(a, b, c): t_0 = math.sqrt(((b * b) - ((4.0 * a) * c))) tmp = 0 if b >= 0.0: tmp = (-b - t_0) / (2.0 * a) else: tmp = (2.0 * c) / (-b + t_0) return tmp
function code(a, b, c) t_0 = sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c))) tmp = 0.0 if (b >= 0.0) tmp = Float64(Float64(Float64(-b) - t_0) / Float64(2.0 * a)); else tmp = Float64(Float64(2.0 * c) / Float64(Float64(-b) + t_0)); end return tmp end
function tmp_2 = code(a, b, c) t_0 = sqrt(((b * b) - ((4.0 * a) * c))); tmp = 0.0; if (b >= 0.0) tmp = (-b - t_0) / (2.0 * a); else tmp = (2.0 * c) / (-b + t_0); end tmp_2 = tmp; end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[GreaterEqual[b, 0.0], N[(N[((-b) - t$95$0), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) + t$95$0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}\\
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{\left(-b\right) - t\_0}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) + t\_0}\\
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 7 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b c) :precision binary64 (let* ((t_0 (sqrt (- (* b b) (* (* 4.0 a) c))))) (if (>= b 0.0) (/ (- (- b) t_0) (* 2.0 a)) (/ (* 2.0 c) (+ (- b) t_0)))))
double code(double a, double b, double c) {
double t_0 = sqrt(((b * b) - ((4.0 * a) * c)));
double tmp;
if (b >= 0.0) {
tmp = (-b - t_0) / (2.0 * a);
} else {
tmp = (2.0 * c) / (-b + t_0);
}
return tmp;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: t_0
real(8) :: tmp
t_0 = sqrt(((b * b) - ((4.0d0 * a) * c)))
if (b >= 0.0d0) then
tmp = (-b - t_0) / (2.0d0 * a)
else
tmp = (2.0d0 * c) / (-b + t_0)
end if
code = tmp
end function
public static double code(double a, double b, double c) {
double t_0 = Math.sqrt(((b * b) - ((4.0 * a) * c)));
double tmp;
if (b >= 0.0) {
tmp = (-b - t_0) / (2.0 * a);
} else {
tmp = (2.0 * c) / (-b + t_0);
}
return tmp;
}
def code(a, b, c): t_0 = math.sqrt(((b * b) - ((4.0 * a) * c))) tmp = 0 if b >= 0.0: tmp = (-b - t_0) / (2.0 * a) else: tmp = (2.0 * c) / (-b + t_0) return tmp
function code(a, b, c) t_0 = sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c))) tmp = 0.0 if (b >= 0.0) tmp = Float64(Float64(Float64(-b) - t_0) / Float64(2.0 * a)); else tmp = Float64(Float64(2.0 * c) / Float64(Float64(-b) + t_0)); end return tmp end
function tmp_2 = code(a, b, c) t_0 = sqrt(((b * b) - ((4.0 * a) * c))); tmp = 0.0; if (b >= 0.0) tmp = (-b - t_0) / (2.0 * a); else tmp = (2.0 * c) / (-b + t_0); end tmp_2 = tmp; end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[GreaterEqual[b, 0.0], N[(N[((-b) - t$95$0), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) + t$95$0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}\\
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{\left(-b\right) - t\_0}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) + t\_0}\\
\end{array}
\end{array}
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (- (* b b) (* (* a 4.0) c)))))
(if (<= b -1e+154)
(if (>= b 0.0) (* (/ 0.5 a) (* -2.0 b)) (/ (* 2.0 c) (- (- b) b)))
(if (<= b 1.5e+138)
(if (>= b 0.0) (/ (+ t_0 b) (* (- a) 2.0)) (/ (* 2.0 c) (- t_0 b)))
(if (>= b 0.0) (- (/ c b) (/ b a)) (/ (- b) a))))))
double code(double a, double b, double c) {
double t_0 = sqrt(((b * b) - ((a * 4.0) * c)));
double tmp_1;
if (b <= -1e+154) {
double tmp_2;
if (b >= 0.0) {
tmp_2 = (0.5 / a) * (-2.0 * b);
} else {
tmp_2 = (2.0 * c) / (-b - b);
}
tmp_1 = tmp_2;
} else if (b <= 1.5e+138) {
double tmp_3;
if (b >= 0.0) {
tmp_3 = (t_0 + b) / (-a * 2.0);
} else {
tmp_3 = (2.0 * c) / (t_0 - b);
}
tmp_1 = tmp_3;
} else if (b >= 0.0) {
tmp_1 = (c / b) - (b / a);
} else {
tmp_1 = -b / a;
}
return tmp_1;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: t_0
real(8) :: tmp
real(8) :: tmp_1
real(8) :: tmp_2
real(8) :: tmp_3
t_0 = sqrt(((b * b) - ((a * 4.0d0) * c)))
if (b <= (-1d+154)) then
if (b >= 0.0d0) then
tmp_2 = (0.5d0 / a) * ((-2.0d0) * b)
else
tmp_2 = (2.0d0 * c) / (-b - b)
end if
tmp_1 = tmp_2
else if (b <= 1.5d+138) then
if (b >= 0.0d0) then
tmp_3 = (t_0 + b) / (-a * 2.0d0)
else
tmp_3 = (2.0d0 * c) / (t_0 - b)
end if
tmp_1 = tmp_3
else if (b >= 0.0d0) then
tmp_1 = (c / b) - (b / a)
else
tmp_1 = -b / a
end if
code = tmp_1
end function
public static double code(double a, double b, double c) {
double t_0 = Math.sqrt(((b * b) - ((a * 4.0) * c)));
double tmp_1;
if (b <= -1e+154) {
double tmp_2;
if (b >= 0.0) {
tmp_2 = (0.5 / a) * (-2.0 * b);
} else {
tmp_2 = (2.0 * c) / (-b - b);
}
tmp_1 = tmp_2;
} else if (b <= 1.5e+138) {
double tmp_3;
if (b >= 0.0) {
tmp_3 = (t_0 + b) / (-a * 2.0);
} else {
tmp_3 = (2.0 * c) / (t_0 - b);
}
tmp_1 = tmp_3;
} else if (b >= 0.0) {
tmp_1 = (c / b) - (b / a);
} else {
tmp_1 = -b / a;
}
return tmp_1;
}
def code(a, b, c): t_0 = math.sqrt(((b * b) - ((a * 4.0) * c))) tmp_1 = 0 if b <= -1e+154: tmp_2 = 0 if b >= 0.0: tmp_2 = (0.5 / a) * (-2.0 * b) else: tmp_2 = (2.0 * c) / (-b - b) tmp_1 = tmp_2 elif b <= 1.5e+138: tmp_3 = 0 if b >= 0.0: tmp_3 = (t_0 + b) / (-a * 2.0) else: tmp_3 = (2.0 * c) / (t_0 - b) tmp_1 = tmp_3 elif b >= 0.0: tmp_1 = (c / b) - (b / a) else: tmp_1 = -b / a return tmp_1
function code(a, b, c) t_0 = sqrt(Float64(Float64(b * b) - Float64(Float64(a * 4.0) * c))) tmp_1 = 0.0 if (b <= -1e+154) tmp_2 = 0.0 if (b >= 0.0) tmp_2 = Float64(Float64(0.5 / a) * Float64(-2.0 * b)); else tmp_2 = Float64(Float64(2.0 * c) / Float64(Float64(-b) - b)); end tmp_1 = tmp_2; elseif (b <= 1.5e+138) tmp_3 = 0.0 if (b >= 0.0) tmp_3 = Float64(Float64(t_0 + b) / Float64(Float64(-a) * 2.0)); else tmp_3 = Float64(Float64(2.0 * c) / Float64(t_0 - b)); end tmp_1 = tmp_3; elseif (b >= 0.0) tmp_1 = Float64(Float64(c / b) - Float64(b / a)); else tmp_1 = Float64(Float64(-b) / a); end return tmp_1 end
function tmp_5 = code(a, b, c) t_0 = sqrt(((b * b) - ((a * 4.0) * c))); tmp_2 = 0.0; if (b <= -1e+154) tmp_3 = 0.0; if (b >= 0.0) tmp_3 = (0.5 / a) * (-2.0 * b); else tmp_3 = (2.0 * c) / (-b - b); end tmp_2 = tmp_3; elseif (b <= 1.5e+138) tmp_4 = 0.0; if (b >= 0.0) tmp_4 = (t_0 + b) / (-a * 2.0); else tmp_4 = (2.0 * c) / (t_0 - b); end tmp_2 = tmp_4; elseif (b >= 0.0) tmp_2 = (c / b) - (b / a); else tmp_2 = -b / a; end tmp_5 = tmp_2; end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(a * 4.0), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[b, -1e+154], If[GreaterEqual[b, 0.0], N[(N[(0.5 / a), $MachinePrecision] * N[(-2.0 * b), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) - b), $MachinePrecision]), $MachinePrecision]], If[LessEqual[b, 1.5e+138], If[GreaterEqual[b, 0.0], N[(N[(t$95$0 + b), $MachinePrecision] / N[((-a) * 2.0), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[(t$95$0 - b), $MachinePrecision]), $MachinePrecision]], If[GreaterEqual[b, 0.0], N[(N[(c / b), $MachinePrecision] - N[(b / a), $MachinePrecision]), $MachinePrecision], N[((-b) / a), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{b \cdot b - \left(a \cdot 4\right) \cdot c}\\
\mathbf{if}\;b \leq -1 \cdot 10^{+154}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{0.5}{a} \cdot \left(-2 \cdot b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) - b}\\
\end{array}\\
\mathbf{elif}\;b \leq 1.5 \cdot 10^{+138}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{t\_0 + b}{\left(-a\right) \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_0 - b}\\
\end{array}\\
\mathbf{elif}\;b \geq 0:\\
\;\;\;\;\frac{c}{b} - \frac{b}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b}{a}\\
\end{array}
\end{array}
if b < -1.00000000000000004e154Initial program 29.0%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6429.0
Applied rewrites29.0%
lift-/.f64N/A
div-invN/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lift-/.f64N/A
lower-*.f6429.0
Applied rewrites29.0%
Taylor expanded in c around 0
lower-*.f6429.0
Applied rewrites29.0%
Taylor expanded in b around -inf
mul-1-negN/A
lower-neg.f6497.9
Applied rewrites97.9%
if -1.00000000000000004e154 < b < 1.50000000000000005e138Initial program 88.5%
if 1.50000000000000005e138 < b Initial program 51.1%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
associate-*r/N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6494.9
Applied rewrites94.9%
Final simplification91.4%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (* (* c a) -4.0)))
(t_1 (* (fma (/ c b) a (- b)) 2.0))
(t_2 (* (fma a (/ c b) (- b)) 2.0)))
(if (<= b -2.35e-85)
(if (>= b 0.0) (* t_2 (/ 0.5 a)) (/ (* 2.0 c) t_1))
(if (<= b 5.2e-304)
(if (>= b 0.0) (/ t_1 (* 2.0 a)) (/ (* 2.0 c) (- t_0 b)))
(if (<= b 1.55e-45)
(if (>= b 0.0) (/ (+ t_0 b) (* (- a) 2.0)) (/ (* 2.0 c) t_2))
(if (>= b 0.0) (- (/ c b) (/ b a)) (/ (- b) a)))))))
double code(double a, double b, double c) {
double t_0 = sqrt(((c * a) * -4.0));
double t_1 = fma((c / b), a, -b) * 2.0;
double t_2 = fma(a, (c / b), -b) * 2.0;
double tmp_1;
if (b <= -2.35e-85) {
double tmp_2;
if (b >= 0.0) {
tmp_2 = t_2 * (0.5 / a);
} else {
tmp_2 = (2.0 * c) / t_1;
}
tmp_1 = tmp_2;
} else if (b <= 5.2e-304) {
double tmp_3;
if (b >= 0.0) {
tmp_3 = t_1 / (2.0 * a);
} else {
tmp_3 = (2.0 * c) / (t_0 - b);
}
tmp_1 = tmp_3;
} else if (b <= 1.55e-45) {
double tmp_4;
if (b >= 0.0) {
tmp_4 = (t_0 + b) / (-a * 2.0);
} else {
tmp_4 = (2.0 * c) / t_2;
}
tmp_1 = tmp_4;
} else if (b >= 0.0) {
tmp_1 = (c / b) - (b / a);
} else {
tmp_1 = -b / a;
}
return tmp_1;
}
function code(a, b, c) t_0 = sqrt(Float64(Float64(c * a) * -4.0)) t_1 = Float64(fma(Float64(c / b), a, Float64(-b)) * 2.0) t_2 = Float64(fma(a, Float64(c / b), Float64(-b)) * 2.0) tmp_1 = 0.0 if (b <= -2.35e-85) tmp_2 = 0.0 if (b >= 0.0) tmp_2 = Float64(t_2 * Float64(0.5 / a)); else tmp_2 = Float64(Float64(2.0 * c) / t_1); end tmp_1 = tmp_2; elseif (b <= 5.2e-304) tmp_3 = 0.0 if (b >= 0.0) tmp_3 = Float64(t_1 / Float64(2.0 * a)); else tmp_3 = Float64(Float64(2.0 * c) / Float64(t_0 - b)); end tmp_1 = tmp_3; elseif (b <= 1.55e-45) tmp_4 = 0.0 if (b >= 0.0) tmp_4 = Float64(Float64(t_0 + b) / Float64(Float64(-a) * 2.0)); else tmp_4 = Float64(Float64(2.0 * c) / t_2); end tmp_1 = tmp_4; elseif (b >= 0.0) tmp_1 = Float64(Float64(c / b) - Float64(b / a)); else tmp_1 = Float64(Float64(-b) / a); end return tmp_1 end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(c * a), $MachinePrecision] * -4.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(c / b), $MachinePrecision] * a + (-b)), $MachinePrecision] * 2.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(a * N[(c / b), $MachinePrecision] + (-b)), $MachinePrecision] * 2.0), $MachinePrecision]}, If[LessEqual[b, -2.35e-85], If[GreaterEqual[b, 0.0], N[(t$95$2 * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / t$95$1), $MachinePrecision]], If[LessEqual[b, 5.2e-304], If[GreaterEqual[b, 0.0], N[(t$95$1 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[(t$95$0 - b), $MachinePrecision]), $MachinePrecision]], If[LessEqual[b, 1.55e-45], If[GreaterEqual[b, 0.0], N[(N[(t$95$0 + b), $MachinePrecision] / N[((-a) * 2.0), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / t$95$2), $MachinePrecision]], If[GreaterEqual[b, 0.0], N[(N[(c / b), $MachinePrecision] - N[(b / a), $MachinePrecision]), $MachinePrecision], N[((-b) / a), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\left(c \cdot a\right) \cdot -4}\\
t_1 := \mathsf{fma}\left(\frac{c}{b}, a, -b\right) \cdot 2\\
t_2 := \mathsf{fma}\left(a, \frac{c}{b}, -b\right) \cdot 2\\
\mathbf{if}\;b \leq -2.35 \cdot 10^{-85}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;t\_2 \cdot \frac{0.5}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_1}\\
\end{array}\\
\mathbf{elif}\;b \leq 5.2 \cdot 10^{-304}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{t\_1}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_0 - b}\\
\end{array}\\
\mathbf{elif}\;b \leq 1.55 \cdot 10^{-45}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{t\_0 + b}{\left(-a\right) \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_2}\\
\end{array}\\
\mathbf{elif}\;b \geq 0:\\
\;\;\;\;\frac{c}{b} - \frac{b}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b}{a}\\
\end{array}
\end{array}
if b < -2.35000000000000005e-85Initial program 64.7%
Taylor expanded in b around -inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
distribute-neg-inN/A
metadata-evalN/A
unsub-negN/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f6488.0
Applied rewrites88.0%
Taylor expanded in c around 0
Applied rewrites88.0%
Applied rewrites88.0%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
associate-/l*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6488.0
Applied rewrites88.0%
if -2.35000000000000005e-85 < b < 5.19999999999999993e-304Initial program 77.7%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6477.7
Applied rewrites77.7%
Taylor expanded in c around inf
lower-*.f64N/A
*-commutativeN/A
lower-*.f6470.0
Applied rewrites70.0%
if 5.19999999999999993e-304 < b < 1.55e-45Initial program 82.9%
Taylor expanded in b around -inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
distribute-neg-inN/A
metadata-evalN/A
unsub-negN/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f6482.9
Applied rewrites82.9%
Taylor expanded in c around 0
Applied rewrites82.9%
Taylor expanded in c around inf
lower-*.f64N/A
*-commutativeN/A
lower-*.f6474.7
Applied rewrites74.7%
if 1.55e-45 < b Initial program 69.4%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6489.0
Applied rewrites89.0%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6489.0
Applied rewrites89.0%
Taylor expanded in c around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6489.0
Applied rewrites89.0%
Taylor expanded in c around 0
associate-*r/N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6489.0
Applied rewrites89.0%
Final simplification84.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (fma -4.0 (* c a) (* b b)))))
(if (<= b -1e+154)
(if (>= b 0.0) (* (/ 0.5 a) (* -2.0 b)) (/ (* 2.0 c) (- (- b) b)))
(if (<= b 1.5e+138)
(if (>= b 0.0) (* -0.5 (/ (+ t_0 b) a)) (/ (* 2.0 c) (- t_0 b)))
(if (>= b 0.0) (- (/ c b) (/ b a)) (/ (- b) a))))))
double code(double a, double b, double c) {
double t_0 = sqrt(fma(-4.0, (c * a), (b * b)));
double tmp_1;
if (b <= -1e+154) {
double tmp_2;
if (b >= 0.0) {
tmp_2 = (0.5 / a) * (-2.0 * b);
} else {
tmp_2 = (2.0 * c) / (-b - b);
}
tmp_1 = tmp_2;
} else if (b <= 1.5e+138) {
double tmp_3;
if (b >= 0.0) {
tmp_3 = -0.5 * ((t_0 + b) / a);
} else {
tmp_3 = (2.0 * c) / (t_0 - b);
}
tmp_1 = tmp_3;
} else if (b >= 0.0) {
tmp_1 = (c / b) - (b / a);
} else {
tmp_1 = -b / a;
}
return tmp_1;
}
function code(a, b, c) t_0 = sqrt(fma(-4.0, Float64(c * a), Float64(b * b))) tmp_1 = 0.0 if (b <= -1e+154) tmp_2 = 0.0 if (b >= 0.0) tmp_2 = Float64(Float64(0.5 / a) * Float64(-2.0 * b)); else tmp_2 = Float64(Float64(2.0 * c) / Float64(Float64(-b) - b)); end tmp_1 = tmp_2; elseif (b <= 1.5e+138) tmp_3 = 0.0 if (b >= 0.0) tmp_3 = Float64(-0.5 * Float64(Float64(t_0 + b) / a)); else tmp_3 = Float64(Float64(2.0 * c) / Float64(t_0 - b)); end tmp_1 = tmp_3; elseif (b >= 0.0) tmp_1 = Float64(Float64(c / b) - Float64(b / a)); else tmp_1 = Float64(Float64(-b) / a); end return tmp_1 end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(-4.0 * N[(c * a), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[b, -1e+154], If[GreaterEqual[b, 0.0], N[(N[(0.5 / a), $MachinePrecision] * N[(-2.0 * b), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) - b), $MachinePrecision]), $MachinePrecision]], If[LessEqual[b, 1.5e+138], If[GreaterEqual[b, 0.0], N[(-0.5 * N[(N[(t$95$0 + b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[(t$95$0 - b), $MachinePrecision]), $MachinePrecision]], If[GreaterEqual[b, 0.0], N[(N[(c / b), $MachinePrecision] - N[(b / a), $MachinePrecision]), $MachinePrecision], N[((-b) / a), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-4, c \cdot a, b \cdot b\right)}\\
\mathbf{if}\;b \leq -1 \cdot 10^{+154}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{0.5}{a} \cdot \left(-2 \cdot b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) - b}\\
\end{array}\\
\mathbf{elif}\;b \leq 1.5 \cdot 10^{+138}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;-0.5 \cdot \frac{t\_0 + b}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_0 - b}\\
\end{array}\\
\mathbf{elif}\;b \geq 0:\\
\;\;\;\;\frac{c}{b} - \frac{b}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-b}{a}\\
\end{array}
\end{array}
if b < -1.00000000000000004e154Initial program 29.0%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6429.0
Applied rewrites29.0%
lift-/.f64N/A
div-invN/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lift-/.f64N/A
lower-*.f6429.0
Applied rewrites29.0%
Taylor expanded in c around 0
lower-*.f6429.0
Applied rewrites29.0%
Taylor expanded in b around -inf
mul-1-negN/A
lower-neg.f6497.9
Applied rewrites97.9%
if -1.00000000000000004e154 < b < 1.50000000000000005e138Initial program 88.5%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6472.7
Applied rewrites72.7%
Taylor expanded in c around 0
Applied rewrites88.5%
if 1.50000000000000005e138 < b Initial program 51.1%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
+-commutativeN/A
mul-1-negN/A
unsub-negN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6494.9
Applied rewrites94.9%
Taylor expanded in c around 0
associate-*r/N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6494.9
Applied rewrites94.9%
Final simplification91.4%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* (fma (/ c b) a (- b)) 2.0)))
(if (<= b -2.35e-85)
(if (>= b 0.0)
(* (* (fma a (/ c b) (- b)) 2.0) (/ 0.5 a))
(/ (* 2.0 c) t_0))
(if (>= b 0.0)
(/ t_0 (* 2.0 a))
(/ (* 2.0 c) (- (sqrt (* (* c a) -4.0)) b))))))
double code(double a, double b, double c) {
double t_0 = fma((c / b), a, -b) * 2.0;
double tmp_1;
if (b <= -2.35e-85) {
double tmp_2;
if (b >= 0.0) {
tmp_2 = (fma(a, (c / b), -b) * 2.0) * (0.5 / a);
} else {
tmp_2 = (2.0 * c) / t_0;
}
tmp_1 = tmp_2;
} else if (b >= 0.0) {
tmp_1 = t_0 / (2.0 * a);
} else {
tmp_1 = (2.0 * c) / (sqrt(((c * a) * -4.0)) - b);
}
return tmp_1;
}
function code(a, b, c) t_0 = Float64(fma(Float64(c / b), a, Float64(-b)) * 2.0) tmp_1 = 0.0 if (b <= -2.35e-85) tmp_2 = 0.0 if (b >= 0.0) tmp_2 = Float64(Float64(fma(a, Float64(c / b), Float64(-b)) * 2.0) * Float64(0.5 / a)); else tmp_2 = Float64(Float64(2.0 * c) / t_0); end tmp_1 = tmp_2; elseif (b >= 0.0) tmp_1 = Float64(t_0 / Float64(2.0 * a)); else tmp_1 = Float64(Float64(2.0 * c) / Float64(sqrt(Float64(Float64(c * a) * -4.0)) - b)); end return tmp_1 end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(N[(c / b), $MachinePrecision] * a + (-b)), $MachinePrecision] * 2.0), $MachinePrecision]}, If[LessEqual[b, -2.35e-85], If[GreaterEqual[b, 0.0], N[(N[(N[(a * N[(c / b), $MachinePrecision] + (-b)), $MachinePrecision] * 2.0), $MachinePrecision] * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / t$95$0), $MachinePrecision]], If[GreaterEqual[b, 0.0], N[(t$95$0 / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[(N[Sqrt[N[(N[(c * a), $MachinePrecision] * -4.0), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\frac{c}{b}, a, -b\right) \cdot 2\\
\mathbf{if}\;b \leq -2.35 \cdot 10^{-85}:\\
\;\;\;\;\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(a, \frac{c}{b}, -b\right) \cdot 2\right) \cdot \frac{0.5}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{t\_0}\\
\end{array}\\
\mathbf{elif}\;b \geq 0:\\
\;\;\;\;\frac{t\_0}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\sqrt{\left(c \cdot a\right) \cdot -4} - b}\\
\end{array}
\end{array}
if b < -2.35000000000000005e-85Initial program 64.7%
Taylor expanded in b around -inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
distribute-neg-inN/A
metadata-evalN/A
unsub-negN/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f6488.0
Applied rewrites88.0%
Taylor expanded in c around 0
Applied rewrites88.0%
Applied rewrites88.0%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
associate-/l*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6488.0
Applied rewrites88.0%
if -2.35000000000000005e-85 < b Initial program 74.1%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6472.8
Applied rewrites72.8%
Taylor expanded in c around inf
lower-*.f64N/A
*-commutativeN/A
lower-*.f6471.2
Applied rewrites71.2%
Final simplification77.6%
(FPCore (a b c) :precision binary64 (if (>= b 0.0) (* (* (fma a (/ c b) (- b)) 2.0) (/ 0.5 a)) (/ (* 2.0 c) (* (fma (/ c b) a (- b)) 2.0))))
double code(double a, double b, double c) {
double tmp;
if (b >= 0.0) {
tmp = (fma(a, (c / b), -b) * 2.0) * (0.5 / a);
} else {
tmp = (2.0 * c) / (fma((c / b), a, -b) * 2.0);
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b >= 0.0) tmp = Float64(Float64(fma(a, Float64(c / b), Float64(-b)) * 2.0) * Float64(0.5 / a)); else tmp = Float64(Float64(2.0 * c) / Float64(fma(Float64(c / b), a, Float64(-b)) * 2.0)); end return tmp end
code[a_, b_, c_] := If[GreaterEqual[b, 0.0], N[(N[(N[(a * N[(c / b), $MachinePrecision] + (-b)), $MachinePrecision] * 2.0), $MachinePrecision] * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[(N[(N[(c / b), $MachinePrecision] * a + (-b)), $MachinePrecision] * 2.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(a, \frac{c}{b}, -b\right) \cdot 2\right) \cdot \frac{0.5}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\mathsf{fma}\left(\frac{c}{b}, a, -b\right) \cdot 2}\\
\end{array}
\end{array}
Initial program 70.5%
Taylor expanded in b around -inf
mul-1-negN/A
*-commutativeN/A
distribute-lft-neg-inN/A
lower-*.f64N/A
distribute-neg-inN/A
metadata-evalN/A
unsub-negN/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
unpow2N/A
associate-/r*N/A
lower-/.f64N/A
lower-/.f6470.8
Applied rewrites70.8%
Taylor expanded in c around 0
Applied rewrites70.8%
Applied rewrites70.8%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
associate-/l*N/A
mul-1-negN/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6469.9
Applied rewrites69.9%
Final simplification69.9%
(FPCore (a b c) :precision binary64 (if (>= b 0.0) (* (* (fma (/ c b) a (- b)) 2.0) (/ 0.5 a)) (/ (* 2.0 c) (- (- b) b))))
double code(double a, double b, double c) {
double tmp;
if (b >= 0.0) {
tmp = (fma((c / b), a, -b) * 2.0) * (0.5 / a);
} else {
tmp = (2.0 * c) / (-b - b);
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b >= 0.0) tmp = Float64(Float64(fma(Float64(c / b), a, Float64(-b)) * 2.0) * Float64(0.5 / a)); else tmp = Float64(Float64(2.0 * c) / Float64(Float64(-b) - b)); end return tmp end
code[a_, b_, c_] := If[GreaterEqual[b, 0.0], N[(N[(N[(N[(c / b), $MachinePrecision] * a + (-b)), $MachinePrecision] * 2.0), $MachinePrecision] * N[(0.5 / a), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) - b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\left(\mathsf{fma}\left(\frac{c}{b}, a, -b\right) \cdot 2\right) \cdot \frac{0.5}{a}\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) - b}\\
\end{array}
\end{array}
Initial program 70.5%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6469.8
Applied rewrites69.8%
lift-/.f64N/A
div-invN/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lift-/.f64N/A
lower-*.f6469.6
Applied rewrites69.7%
Taylor expanded in b around -inf
mul-1-negN/A
lower-neg.f6469.8
Applied rewrites69.8%
(FPCore (a b c) :precision binary64 (if (>= b 0.0) (* (/ 0.5 a) (* -2.0 b)) (/ (* 2.0 c) (- (- b) b))))
double code(double a, double b, double c) {
double tmp;
if (b >= 0.0) {
tmp = (0.5 / a) * (-2.0 * b);
} else {
tmp = (2.0 * c) / (-b - b);
}
return tmp;
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
real(8) :: tmp
if (b >= 0.0d0) then
tmp = (0.5d0 / a) * ((-2.0d0) * b)
else
tmp = (2.0d0 * c) / (-b - b)
end if
code = tmp
end function
public static double code(double a, double b, double c) {
double tmp;
if (b >= 0.0) {
tmp = (0.5 / a) * (-2.0 * b);
} else {
tmp = (2.0 * c) / (-b - b);
}
return tmp;
}
def code(a, b, c): tmp = 0 if b >= 0.0: tmp = (0.5 / a) * (-2.0 * b) else: tmp = (2.0 * c) / (-b - b) return tmp
function code(a, b, c) tmp = 0.0 if (b >= 0.0) tmp = Float64(Float64(0.5 / a) * Float64(-2.0 * b)); else tmp = Float64(Float64(2.0 * c) / Float64(Float64(-b) - b)); end return tmp end
function tmp_2 = code(a, b, c) tmp = 0.0; if (b >= 0.0) tmp = (0.5 / a) * (-2.0 * b); else tmp = (2.0 * c) / (-b - b); end tmp_2 = tmp; end
code[a_, b_, c_] := If[GreaterEqual[b, 0.0], N[(N[(0.5 / a), $MachinePrecision] * N[(-2.0 * b), $MachinePrecision]), $MachinePrecision], N[(N[(2.0 * c), $MachinePrecision] / N[((-b) - b), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \geq 0:\\
\;\;\;\;\frac{0.5}{a} \cdot \left(-2 \cdot b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{2 \cdot c}{\left(-b\right) - b}\\
\end{array}
\end{array}
Initial program 70.5%
Taylor expanded in c around 0
distribute-lft-out--N/A
lower-*.f64N/A
sub-negN/A
mul-1-negN/A
*-commutativeN/A
associate-*l/N/A
lower-fma.f64N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6469.8
Applied rewrites69.8%
lift-/.f64N/A
div-invN/A
lift-*.f64N/A
associate-/r*N/A
metadata-evalN/A
lift-/.f64N/A
lower-*.f6469.6
Applied rewrites69.7%
Taylor expanded in c around 0
lower-*.f6469.2
Applied rewrites69.2%
Taylor expanded in b around -inf
mul-1-negN/A
lower-neg.f6469.4
Applied rewrites69.4%
Final simplification69.4%
herbie shell --seed 2024268
(FPCore (a b c)
:name "jeff quadratic root 1"
:precision binary64
(if (>= b 0.0) (/ (- (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) (/ (* 2.0 c) (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))))))