
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((3.0d0 * a) * c)))) / (3.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(3.0 * a) * c)))) / Float64(3.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(3.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(3.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (a b c) :precision binary64 (/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))
double code(double a, double b, double c) {
return (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
real(8) function code(a, b, c)
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (-b + sqrt(((b * b) - ((3.0d0 * a) * c)))) / (3.0d0 * a)
end function
public static double code(double a, double b, double c) {
return (-b + Math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a);
}
def code(a, b, c): return (-b + math.sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a)
function code(a, b, c) return Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(3.0 * a) * c)))) / Float64(3.0 * a)) end
function tmp = code(a, b, c) tmp = (-b + sqrt(((b * b) - ((3.0 * a) * c)))) / (3.0 * a); end
code[a_, b_, c_] := N[(N[((-b) + N[Sqrt[N[(N[(b * b), $MachinePrecision] - N[(N[(3.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(3.0 * a), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(3 \cdot a\right) \cdot c}}{3 \cdot a}
\end{array}
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c a) -3.0 (* b b))))
(if (<= b 0.34)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(/
(fma
(fma
(fma
(- c)
(/ (* -0.5625 (pow a 3.0)) (pow b 5.0))
(* (/ (/ (* a a) (* b b)) (- b)) -0.375))
c
(* (/ a b) 0.5))
c
(* -0.6666666666666666 b))
c)))))
double code(double a, double b, double c) {
double t_0 = fma((c * a), -3.0, (b * b));
double tmp;
if (b <= 0.34) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / (fma(fma(fma(-c, ((-0.5625 * pow(a, 3.0)) / pow(b, 5.0)), ((((a * a) / (b * b)) / -b) * -0.375)), c, ((a / b) * 0.5)), c, (-0.6666666666666666 * b)) / c);
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * a), -3.0, Float64(b * b)) tmp = 0.0 if (b <= 0.34) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / Float64(fma(fma(fma(Float64(-c), Float64(Float64(-0.5625 * (a ^ 3.0)) / (b ^ 5.0)), Float64(Float64(Float64(Float64(a * a) / Float64(b * b)) / Float64(-b)) * -0.375)), c, Float64(Float64(a / b) * 0.5)), c, Float64(-0.6666666666666666 * b)) / c)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 0.34], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(N[(N[((-c) * N[(N[(-0.5625 * N[Power[a, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(a * a), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] / (-b)), $MachinePrecision] * -0.375), $MachinePrecision]), $MachinePrecision] * c + N[(N[(a / b), $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision] * c + N[(-0.6666666666666666 * b), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)\\
\mathbf{if}\;b \leq 0.34:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(-c, \frac{-0.5625 \cdot {a}^{3}}{{b}^{5}}, \frac{\frac{a \cdot a}{b \cdot b}}{-b} \cdot -0.375\right), c, \frac{a}{b} \cdot 0.5\right), c, -0.6666666666666666 \cdot b\right)}{c}}\\
\end{array}
\end{array}
if b < 0.340000000000000024Initial program 87.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites88.0%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6488.0
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6488.0
Applied rewrites88.0%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6488.2
Applied rewrites88.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
flip--N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites89.8%
if 0.340000000000000024 < b Initial program 49.9%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.9%
Taylor expanded in c around 0
Applied rewrites93.3%
Taylor expanded in a around 0
Applied rewrites93.3%
Applied rewrites93.3%
Final simplification92.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c a) -3.0 (* b b))))
(if (<= b 0.34)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma
(fma
(fma (/ (* (* c c) a) (pow b 5.0)) 0.5625 (* (/ c (pow b 3.0)) 0.375))
a
(/ 0.5 b))
a
(* (/ b c) -0.6666666666666666))))))
double code(double a, double b, double c) {
double t_0 = fma((c * a), -3.0, (b * b));
double tmp;
if (b <= 0.34) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma(fma(fma((((c * c) * a) / pow(b, 5.0)), 0.5625, ((c / pow(b, 3.0)) * 0.375)), a, (0.5 / b)), a, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * a), -3.0, Float64(b * b)) tmp = 0.0 if (b <= 0.34) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(fma(fma(Float64(Float64(Float64(c * c) * a) / (b ^ 5.0)), 0.5625, Float64(Float64(c / (b ^ 3.0)) * 0.375)), a, Float64(0.5 / b)), a, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 0.34], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(N[(N[(N[(N[(c * c), $MachinePrecision] * a), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] * 0.5625 + N[(N[(c / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision] * 0.375), $MachinePrecision]), $MachinePrecision] * a + N[(0.5 / b), $MachinePrecision]), $MachinePrecision] * a + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)\\
\mathbf{if}\;b \leq 0.34:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(\frac{\left(c \cdot c\right) \cdot a}{{b}^{5}}, 0.5625, \frac{c}{{b}^{3}} \cdot 0.375\right), a, \frac{0.5}{b}\right), a, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 0.340000000000000024Initial program 87.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites88.0%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6488.0
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6488.0
Applied rewrites88.0%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6488.2
Applied rewrites88.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
flip--N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites89.8%
if 0.340000000000000024 < b Initial program 49.9%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.9%
Taylor expanded in c around 0
Applied rewrites93.3%
Taylor expanded in a around 0
Applied rewrites93.3%
Taylor expanded in a around 0
Applied rewrites93.3%
Final simplification92.8%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c a) -3.0 (* b b))))
(if (<= b 0.35)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma
-0.6666666666666666
(/ b c)
(* a (fma -1.0 (* a (* (/ c (pow b 3.0)) -0.375)) (/ 0.5 b))))))))
double code(double a, double b, double c) {
double t_0 = fma((c * a), -3.0, (b * b));
double tmp;
if (b <= 0.35) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma(-0.6666666666666666, (b / c), (a * fma(-1.0, (a * ((c / pow(b, 3.0)) * -0.375)), (0.5 / b))));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * a), -3.0, Float64(b * b)) tmp = 0.0 if (b <= 0.35) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(-0.6666666666666666, Float64(b / c), Float64(a * fma(-1.0, Float64(a * Float64(Float64(c / (b ^ 3.0)) * -0.375)), Float64(0.5 / b))))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 0.35], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(-0.6666666666666666 * N[(b / c), $MachinePrecision] + N[(a * N[(-1.0 * N[(a * N[(N[(c / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision] * -0.375), $MachinePrecision]), $MachinePrecision] + N[(0.5 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)\\
\mathbf{if}\;b \leq 0.35:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(-0.6666666666666666, \frac{b}{c}, a \cdot \mathsf{fma}\left(-1, a \cdot \left(\frac{c}{{b}^{3}} \cdot -0.375\right), \frac{0.5}{b}\right)\right)}\\
\end{array}
\end{array}
if b < 0.34999999999999998Initial program 87.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites88.0%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6488.0
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6488.0
Applied rewrites88.0%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6488.2
Applied rewrites88.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
flip--N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites89.8%
if 0.34999999999999998 < b Initial program 49.9%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.9%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6449.9
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6449.9
Applied rewrites49.9%
Taylor expanded in a around 0
lower-fma.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-*.f64N/A
distribute-rgt-outN/A
metadata-evalN/A
lower-*.f64N/A
lower-/.f64N/A
lower-pow.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f6491.0
Applied rewrites91.0%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c a) -3.0 (* b b))))
(if (<= b 0.35)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma
(fma (* a (/ c (pow b 3.0))) 0.375 (/ 0.5 b))
a
(* (/ b c) -0.6666666666666666))))))
double code(double a, double b, double c) {
double t_0 = fma((c * a), -3.0, (b * b));
double tmp;
if (b <= 0.35) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma(fma((a * (c / pow(b, 3.0))), 0.375, (0.5 / b)), a, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * a), -3.0, Float64(b * b)) tmp = 0.0 if (b <= 0.35) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(fma(Float64(a * Float64(c / (b ^ 3.0))), 0.375, Float64(0.5 / b)), a, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 0.35], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(N[(a * N[(c / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 0.375 + N[(0.5 / b), $MachinePrecision]), $MachinePrecision] * a + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)\\
\mathbf{if}\;b \leq 0.35:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\mathsf{fma}\left(a \cdot \frac{c}{{b}^{3}}, 0.375, \frac{0.5}{b}\right), a, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 0.34999999999999998Initial program 87.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites88.0%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6488.0
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6488.0
Applied rewrites88.0%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6488.2
Applied rewrites88.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
flip--N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites89.8%
if 0.34999999999999998 < b Initial program 49.9%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.9%
Taylor expanded in c around 0
Applied rewrites93.3%
Taylor expanded in a around 0
Applied rewrites93.3%
Taylor expanded in a around 0
Applied rewrites90.9%
Final simplification90.8%
(FPCore (a b c)
:precision binary64
(if (<= b 0.52)
(/
0.3333333333333333
(* (pow (- (sqrt (fma b b (* (* c a) -3.0))) b) -1.0) a))
(/
0.3333333333333333
(/ (fma 0.5 (* a (/ c b)) (* -0.6666666666666666 b)) c))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.52) {
tmp = 0.3333333333333333 / (pow((sqrt(fma(b, b, ((c * a) * -3.0))) - b), -1.0) * a);
} else {
tmp = 0.3333333333333333 / (fma(0.5, (a * (c / b)), (-0.6666666666666666 * b)) / c);
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.52) tmp = Float64(0.3333333333333333 / Float64((Float64(sqrt(fma(b, b, Float64(Float64(c * a) * -3.0))) - b) ^ -1.0) * a)); else tmp = Float64(0.3333333333333333 / Float64(fma(0.5, Float64(a * Float64(c / b)), Float64(-0.6666666666666666 * b)) / c)); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.52], N[(0.3333333333333333 / N[(N[Power[N[(N[Sqrt[N[(b * b + N[(N[(c * a), $MachinePrecision] * -3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision], -1.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(0.5 * N[(a * N[(c / b), $MachinePrecision]), $MachinePrecision] + N[(-0.6666666666666666 * b), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.52:\\
\;\;\;\;\frac{0.3333333333333333}{{\left(\sqrt{\mathsf{fma}\left(b, b, \left(c \cdot a\right) \cdot -3\right)} - b\right)}^{-1} \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{\mathsf{fma}\left(0.5, a \cdot \frac{c}{b}, -0.6666666666666666 \cdot b\right)}{c}}\\
\end{array}
\end{array}
if b < 0.52000000000000002Initial program 86.7%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites86.9%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6486.9
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6486.9
Applied rewrites86.9%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6487.1
Applied rewrites87.1%
if 0.52000000000000002 < b Initial program 49.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.5%
Taylor expanded in c around 0
lower-/.f64N/A
+-commutativeN/A
lower-fma.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f6485.6
Applied rewrites85.6%
Final simplification85.8%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c a) -3.0 (* b b))))
(if (<= b 130.0)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666))))))
double code(double a, double b, double c) {
double t_0 = fma((c * a), -3.0, (b * b));
double tmp;
if (b <= 130.0) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * a), -3.0, Float64(b * b)) tmp = 0.0 if (b <= 130.0) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 130.0], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)\\
\mathbf{if}\;b \leq 130:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 130Initial program 78.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites78.8%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6478.8
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6478.8
Applied rewrites78.8%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6479.0
Applied rewrites79.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
flip--N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites80.6%
if 130 < b Initial program 45.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites45.5%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6488.1
Applied rewrites88.1%
Final simplification86.1%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -3.0 a) c (* b b))))
(if (<= b 130.0)
(/ 0.3333333333333333 (* (/ a (- t_0 (* b b))) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666))))))
double code(double a, double b, double c) {
double t_0 = fma((-3.0 * a), c, (b * b));
double tmp;
if (b <= 130.0) {
tmp = 0.3333333333333333 / ((a / (t_0 - (b * b))) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-3.0 * a), c, Float64(b * b)) tmp = 0.0 if (b <= 130.0) tmp = Float64(0.3333333333333333 / Float64(Float64(a / Float64(t_0 - Float64(b * b))) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-3.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 130.0], N[(0.3333333333333333 / N[(N[(a / N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-3 \cdot a, c, b \cdot b\right)\\
\mathbf{if}\;b \leq 130:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{a}{t\_0 - b \cdot b} \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 130Initial program 78.8%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites78.8%
Applied rewrites80.6%
if 130 < b Initial program 45.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites45.5%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6488.1
Applied rewrites88.1%
Final simplification86.1%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -3.0 a) c (* b b))))
(if (<= b 130.0)
(/ (- t_0 (* b b)) (* (* 3.0 a) (+ (sqrt t_0) b)))
(/
0.3333333333333333
(fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666))))))
double code(double a, double b, double c) {
double t_0 = fma((-3.0 * a), c, (b * b));
double tmp;
if (b <= 130.0) {
tmp = (t_0 - (b * b)) / ((3.0 * a) * (sqrt(t_0) + b));
} else {
tmp = 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-3.0 * a), c, Float64(b * b)) tmp = 0.0 if (b <= 130.0) tmp = Float64(Float64(t_0 - Float64(b * b)) / Float64(Float64(3.0 * a) * Float64(sqrt(t_0) + b))); else tmp = Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-3.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 130.0], N[(N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision] / N[(N[(3.0 * a), $MachinePrecision] * N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-3 \cdot a, c, b \cdot b\right)\\
\mathbf{if}\;b \leq 130:\\
\;\;\;\;\frac{t\_0 - b \cdot b}{\left(3 \cdot a\right) \cdot \left(\sqrt{t\_0} + b\right)}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 130Initial program 78.8%
lift-/.f64N/A
lift-*.f64N/A
associate-/l/N/A
lower-/.f64N/A
Applied rewrites78.8%
Applied rewrites80.5%
if 130 < b Initial program 45.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites45.5%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6488.1
Applied rewrites88.1%
Final simplification86.1%
(FPCore (a b c)
:precision binary64
(if (<= b 0.52)
(/ (/ (- (sqrt (fma b b (* (* c a) -3.0))) b) a) 3.0)
(/
0.3333333333333333
(/ (fma 0.5 (* a (/ c b)) (* -0.6666666666666666 b)) c))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.52) {
tmp = ((sqrt(fma(b, b, ((c * a) * -3.0))) - b) / a) / 3.0;
} else {
tmp = 0.3333333333333333 / (fma(0.5, (a * (c / b)), (-0.6666666666666666 * b)) / c);
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.52) tmp = Float64(Float64(Float64(sqrt(fma(b, b, Float64(Float64(c * a) * -3.0))) - b) / a) / 3.0); else tmp = Float64(0.3333333333333333 / Float64(fma(0.5, Float64(a * Float64(c / b)), Float64(-0.6666666666666666 * b)) / c)); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.52], N[(N[(N[(N[Sqrt[N[(b * b + N[(N[(c * a), $MachinePrecision] * -3.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / a), $MachinePrecision] / 3.0), $MachinePrecision], N[(0.3333333333333333 / N[(N[(0.5 * N[(a * N[(c / b), $MachinePrecision]), $MachinePrecision] + N[(-0.6666666666666666 * b), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.52:\\
\;\;\;\;\frac{\frac{\sqrt{\mathsf{fma}\left(b, b, \left(c \cdot a\right) \cdot -3\right)} - b}{a}}{3}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{\mathsf{fma}\left(0.5, a \cdot \frac{c}{b}, -0.6666666666666666 \cdot b\right)}{c}}\\
\end{array}
\end{array}
if b < 0.52000000000000002Initial program 86.7%
lift-/.f64N/A
lift-*.f64N/A
associate-/l/N/A
lower-/.f64N/A
Applied rewrites86.8%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6487.1
Applied rewrites87.1%
if 0.52000000000000002 < b Initial program 49.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.5%
Taylor expanded in c around 0
lower-/.f64N/A
+-commutativeN/A
lower-fma.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f6485.6
Applied rewrites85.6%
Final simplification85.8%
(FPCore (a b c)
:precision binary64
(if (<= b 0.52)
(* (/ 0.3333333333333333 a) (- (sqrt (fma (* c a) -3.0 (* b b))) b))
(/
0.3333333333333333
(/ (fma 0.5 (* a (/ c b)) (* -0.6666666666666666 b)) c))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.52) {
tmp = (0.3333333333333333 / a) * (sqrt(fma((c * a), -3.0, (b * b))) - b);
} else {
tmp = 0.3333333333333333 / (fma(0.5, (a * (c / b)), (-0.6666666666666666 * b)) / c);
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.52) tmp = Float64(Float64(0.3333333333333333 / a) * Float64(sqrt(fma(Float64(c * a), -3.0, Float64(b * b))) - b)); else tmp = Float64(0.3333333333333333 / Float64(fma(0.5, Float64(a * Float64(c / b)), Float64(-0.6666666666666666 * b)) / c)); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.52], N[(N[(0.3333333333333333 / a), $MachinePrecision] * N[(N[Sqrt[N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(0.5 * N[(a * N[(c / b), $MachinePrecision]), $MachinePrecision] + N[(-0.6666666666666666 * b), $MachinePrecision]), $MachinePrecision] / c), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.52:\\
\;\;\;\;\frac{0.3333333333333333}{a} \cdot \left(\sqrt{\mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)} - b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\frac{\mathsf{fma}\left(0.5, a \cdot \frac{c}{b}, -0.6666666666666666 \cdot b\right)}{c}}\\
\end{array}
\end{array}
if b < 0.52000000000000002Initial program 86.7%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites86.9%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6486.9
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6486.9
Applied rewrites86.9%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6487.1
Applied rewrites87.1%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
+-commutativeN/A
associate-/r/N/A
Applied rewrites86.9%
if 0.52000000000000002 < b Initial program 49.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.5%
Taylor expanded in c around 0
lower-/.f64N/A
+-commutativeN/A
lower-fma.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f6485.6
Applied rewrites85.6%
Final simplification85.8%
(FPCore (a b c) :precision binary64 (if (<= b 0.52) (* (/ 0.3333333333333333 a) (- (sqrt (fma (* c a) -3.0 (* b b))) b)) (/ 0.3333333333333333 (fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666)))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.52) {
tmp = (0.3333333333333333 / a) * (sqrt(fma((c * a), -3.0, (b * b))) - b);
} else {
tmp = 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.52) tmp = Float64(Float64(0.3333333333333333 / a) * Float64(sqrt(fma(Float64(c * a), -3.0, Float64(b * b))) - b)); else tmp = Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.52], N[(N[(0.3333333333333333 / a), $MachinePrecision] * N[(N[Sqrt[N[(N[(c * a), $MachinePrecision] * -3.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.52:\\
\;\;\;\;\frac{0.3333333333333333}{a} \cdot \left(\sqrt{\mathsf{fma}\left(c \cdot a, -3, b \cdot b\right)} - b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 0.52000000000000002Initial program 86.7%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites86.9%
lift-pow.f64N/A
unpow-1N/A
lower-/.f6486.9
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
metadata-evalN/A
distribute-lft-neg-inN/A
*-commutativeN/A
lower-fma.f64N/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-*.f6486.9
Applied rewrites86.9%
lift-fma.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f6487.1
Applied rewrites87.1%
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
*-lft-identityN/A
lift--.f64N/A
lift-sqrt.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
associate-*l*N/A
+-commutativeN/A
associate-/r/N/A
Applied rewrites86.9%
if 0.52000000000000002 < b Initial program 49.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.5%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6485.6
Applied rewrites85.6%
Final simplification85.7%
(FPCore (a b c) :precision binary64 (if (<= b 0.52) (* (/ 0.3333333333333333 a) (- (sqrt (fma (* -3.0 c) a (* b b))) b)) (/ 0.3333333333333333 (fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666)))))
double code(double a, double b, double c) {
double tmp;
if (b <= 0.52) {
tmp = (0.3333333333333333 / a) * (sqrt(fma((-3.0 * c), a, (b * b))) - b);
} else {
tmp = 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (b <= 0.52) tmp = Float64(Float64(0.3333333333333333 / a) * Float64(sqrt(fma(Float64(-3.0 * c), a, Float64(b * b))) - b)); else tmp = Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))); end return tmp end
code[a_, b_, c_] := If[LessEqual[b, 0.52], N[(N[(0.3333333333333333 / a), $MachinePrecision] * N[(N[Sqrt[N[(N[(-3.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision]), $MachinePrecision], N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;b \leq 0.52:\\
\;\;\;\;\frac{0.3333333333333333}{a} \cdot \left(\sqrt{\mathsf{fma}\left(-3 \cdot c, a, b \cdot b\right)} - b\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}\\
\end{array}
\end{array}
if b < 0.52000000000000002Initial program 86.7%
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
lower-*.f64N/A
lift-*.f64N/A
associate-/r*N/A
lower-/.f64N/A
metadata-eval86.9
lift-+.f64N/A
+-commutativeN/A
lift-neg.f64N/A
unsub-negN/A
lower--.f6486.9
Applied rewrites86.9%
if 0.52000000000000002 < b Initial program 49.5%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites49.5%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6485.6
Applied rewrites85.6%
Final simplification85.7%
(FPCore (a b c) :precision binary64 (/ 0.3333333333333333 (fma (/ a b) 0.5 (* (/ b c) -0.6666666666666666))))
double code(double a, double b, double c) {
return 0.3333333333333333 / fma((a / b), 0.5, ((b / c) * -0.6666666666666666));
}
function code(a, b, c) return Float64(0.3333333333333333 / fma(Float64(a / b), 0.5, Float64(Float64(b / c) * -0.6666666666666666))) end
code[a_, b_, c_] := N[(0.3333333333333333 / N[(N[(a / b), $MachinePrecision] * 0.5 + N[(N[(b / c), $MachinePrecision] * -0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.3333333333333333}{\mathsf{fma}\left(\frac{a}{b}, 0.5, \frac{b}{c} \cdot -0.6666666666666666\right)}
\end{array}
Initial program 54.3%
lift-/.f64N/A
div-invN/A
lift-+.f64N/A
flip3-+N/A
clear-numN/A
lift-*.f64N/A
associate-/r*N/A
frac-timesN/A
Applied rewrites54.3%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f6481.2
Applied rewrites81.2%
Final simplification81.2%
(FPCore (a b c) :precision binary64 (* -0.5 (/ c b)))
double code(double a, double b, double c) {
return -0.5 * (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 = (-0.5d0) * (c / b)
end function
public static double code(double a, double b, double c) {
return -0.5 * (c / b);
}
def code(a, b, c): return -0.5 * (c / b)
function code(a, b, c) return Float64(-0.5 * Float64(c / b)) end
function tmp = code(a, b, c) tmp = -0.5 * (c / b); end
code[a_, b_, c_] := N[(-0.5 * N[(c / b), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
-0.5 \cdot \frac{c}{b}
\end{array}
Initial program 54.3%
Taylor expanded in a around 0
lower-*.f64N/A
lower-/.f6464.8
Applied rewrites64.8%
herbie shell --seed 2024322
(FPCore (a b c)
:name "Cubic critical, narrow range"
:precision binary64
:pre (and (and (and (< 1.0536712127723509e-8 a) (< a 94906265.62425156)) (and (< 1.0536712127723509e-8 b) (< b 94906265.62425156))) (and (< 1.0536712127723509e-8 c) (< c 94906265.62425156)))
(/ (+ (- b) (sqrt (- (* b b) (* (* 3.0 a) c)))) (* 3.0 a)))