
(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);
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(a, b, c)
use fmin_fmax_functions
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}
Herbie found 18 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);
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(a, b, c)
use fmin_fmax_functions
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 (fma -8.0 (* a c) (* -4.0 (* a c))))
(t_1 (fma (* -4.0 a) c (* b b)))
(t_2 (sqrt t_1))
(t_3 (pow (* a c) 2.0))
(t_4 (- (fma 16.0 t_3 (* 32.0 t_3)) (* 0.25 (pow t_0 2.0))))
(t_5 (- (* -64.0 (pow (* a c) 3.0)) (* 0.5 (* t_0 t_4)))))
(if (<= b 6.0)
(/
(/
(fma (* b b) (- b) (pow t_1 1.5))
(fma b b (- (* t_2 t_2) (* (- b) t_2))))
(* 2.0 a))
(/
(/
(*
b
(fma
-0.5
(/ (fma 0.25 (pow t_4 2.0) (* 0.5 (* t_0 t_5))) (pow b 6.0))
(fma 0.5 t_0 (fma 0.5 (/ t_5 (pow b 4.0)) (* 0.5 (/ t_4 (* b b)))))))
(-
(fma
2.0
(* b b)
(*
c
(-
(fma
-4.0
a
(*
c
(-
(* -4.0 (/ (* (pow a 3.0) c) (pow b 4.0)))
(* 2.0 (/ (* a a) (* b b))))))
(* 2.0 a))))
(* -1.0 (* b b))))
(* 2.0 a)))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, (a * c), (-4.0 * (a * c)));
double t_1 = fma((-4.0 * a), c, (b * b));
double t_2 = sqrt(t_1);
double t_3 = pow((a * c), 2.0);
double t_4 = fma(16.0, t_3, (32.0 * t_3)) - (0.25 * pow(t_0, 2.0));
double t_5 = (-64.0 * pow((a * c), 3.0)) - (0.5 * (t_0 * t_4));
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_1, 1.5)) / fma(b, b, ((t_2 * t_2) - (-b * t_2)))) / (2.0 * a);
} else {
tmp = ((b * fma(-0.5, (fma(0.25, pow(t_4, 2.0), (0.5 * (t_0 * t_5))) / pow(b, 6.0)), fma(0.5, t_0, fma(0.5, (t_5 / pow(b, 4.0)), (0.5 * (t_4 / (b * b))))))) / (fma(2.0, (b * b), (c * (fma(-4.0, a, (c * ((-4.0 * ((pow(a, 3.0) * c) / pow(b, 4.0))) - (2.0 * ((a * a) / (b * b)))))) - (2.0 * a)))) - (-1.0 * (b * b)))) / (2.0 * a);
}
return tmp;
}
function code(a, b, c) t_0 = fma(-8.0, Float64(a * c), Float64(-4.0 * Float64(a * c))) t_1 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_2 = sqrt(t_1) t_3 = Float64(a * c) ^ 2.0 t_4 = Float64(fma(16.0, t_3, Float64(32.0 * t_3)) - Float64(0.25 * (t_0 ^ 2.0))) t_5 = Float64(Float64(-64.0 * (Float64(a * c) ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_4))) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_1 ^ 1.5)) / fma(b, b, Float64(Float64(t_2 * t_2) - Float64(Float64(-b) * t_2)))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(b * fma(-0.5, Float64(fma(0.25, (t_4 ^ 2.0), Float64(0.5 * Float64(t_0 * t_5))) / (b ^ 6.0)), fma(0.5, t_0, fma(0.5, Float64(t_5 / (b ^ 4.0)), Float64(0.5 * Float64(t_4 / Float64(b * b))))))) / Float64(fma(2.0, Float64(b * b), Float64(c * Float64(fma(-4.0, a, Float64(c * Float64(Float64(-4.0 * Float64(Float64((a ^ 3.0) * c) / (b ^ 4.0))) - Float64(2.0 * Float64(Float64(a * a) / Float64(b * b)))))) - Float64(2.0 * a)))) - Float64(-1.0 * Float64(b * b)))) / Float64(2.0 * a)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * N[(a * c), $MachinePrecision] + N[(-4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[(a * c), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(16.0 * t$95$3 + N[(32.0 * t$95$3), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(-64.0 * N[Power[N[(a * c), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$1, 1.5], $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[((-b) * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(b * N[(-0.5 * N[(N[(0.25 * N[Power[t$95$4, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$0 + N[(0.5 * N[(t$95$5 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$4 / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(2.0 * N[(b * b), $MachinePrecision] + N[(c * N[(N[(-4.0 * a + N[(c * N[(N[(-4.0 * N[(N[(N[Power[a, 3.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(2.0 * N[(N[(a * a), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(2.0 * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(-1.0 * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, a \cdot c, -4 \cdot \left(a \cdot c\right)\right)\\
t_1 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_2 := \sqrt{t\_1}\\
t_3 := {\left(a \cdot c\right)}^{2}\\
t_4 := \mathsf{fma}\left(16, t\_3, 32 \cdot t\_3\right) - 0.25 \cdot {t\_0}^{2}\\
t_5 := -64 \cdot {\left(a \cdot c\right)}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_4\right)\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_1}^{1.5}\right)}{\mathsf{fma}\left(b, b, t\_2 \cdot t\_2 - \left(-b\right) \cdot t\_2\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{b \cdot \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(0.25, {t\_4}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_5\right)\right)}{{b}^{6}}, \mathsf{fma}\left(0.5, t\_0, \mathsf{fma}\left(0.5, \frac{t\_5}{{b}^{4}}, 0.5 \cdot \frac{t\_4}{b \cdot b}\right)\right)\right)}{\mathsf{fma}\left(2, b \cdot b, c \cdot \left(\mathsf{fma}\left(-4, a, c \cdot \left(-4 \cdot \frac{{a}^{3} \cdot c}{{b}^{4}} - 2 \cdot \frac{a \cdot a}{b \cdot b}\right)\right) - 2 \cdot a\right)\right) - -1 \cdot \left(b \cdot b\right)}}{2 \cdot a}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in b around inf
Applied rewrites94.2%
Taylor expanded in c around 0
lower--.f64N/A
Applied rewrites94.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (fma (* -4.0 a) c (* b b))))
(t_1 (fma -8.0 (* a c) (* -4.0 (* a c))))
(t_2 (pow (* a c) 2.0))
(t_3 (- (fma 16.0 t_2 (* 32.0 t_2)) (* 0.25 (pow t_1 2.0))))
(t_4 (- (* -64.0 (pow (* a c) 3.0)) (* 0.5 (* t_1 t_3)))))
(/
(/
(*
b
(fma
-0.5
(/ (fma 0.25 (pow t_3 2.0) (* 0.5 (* t_1 t_4))) (pow b 6.0))
(fma 0.5 t_1 (fma 0.5 (/ t_4 (pow b 4.0)) (* 0.5 (/ t_3 (* b b)))))))
(fma
b
b
(-
(*
t_0
(+
b
(*
c
(fma
-2.0
(/ a b)
(*
c
(fma
-4.0
(/ (* (pow a 3.0) c) (pow b 5.0))
(* -2.0 (/ (* a a) (pow b 3.0)))))))))
(* (- b) t_0))))
(* 2.0 a))))
double code(double a, double b, double c) {
double t_0 = sqrt(fma((-4.0 * a), c, (b * b)));
double t_1 = fma(-8.0, (a * c), (-4.0 * (a * c)));
double t_2 = pow((a * c), 2.0);
double t_3 = fma(16.0, t_2, (32.0 * t_2)) - (0.25 * pow(t_1, 2.0));
double t_4 = (-64.0 * pow((a * c), 3.0)) - (0.5 * (t_1 * t_3));
return ((b * fma(-0.5, (fma(0.25, pow(t_3, 2.0), (0.5 * (t_1 * t_4))) / pow(b, 6.0)), fma(0.5, t_1, fma(0.5, (t_4 / pow(b, 4.0)), (0.5 * (t_3 / (b * b))))))) / fma(b, b, ((t_0 * (b + (c * fma(-2.0, (a / b), (c * fma(-4.0, ((pow(a, 3.0) * c) / pow(b, 5.0)), (-2.0 * ((a * a) / pow(b, 3.0))))))))) - (-b * t_0)))) / (2.0 * a);
}
function code(a, b, c) t_0 = sqrt(fma(Float64(-4.0 * a), c, Float64(b * b))) t_1 = fma(-8.0, Float64(a * c), Float64(-4.0 * Float64(a * c))) t_2 = Float64(a * c) ^ 2.0 t_3 = Float64(fma(16.0, t_2, Float64(32.0 * t_2)) - Float64(0.25 * (t_1 ^ 2.0))) t_4 = Float64(Float64(-64.0 * (Float64(a * c) ^ 3.0)) - Float64(0.5 * Float64(t_1 * t_3))) return Float64(Float64(Float64(b * fma(-0.5, Float64(fma(0.25, (t_3 ^ 2.0), Float64(0.5 * Float64(t_1 * t_4))) / (b ^ 6.0)), fma(0.5, t_1, fma(0.5, Float64(t_4 / (b ^ 4.0)), Float64(0.5 * Float64(t_3 / Float64(b * b))))))) / fma(b, b, Float64(Float64(t_0 * Float64(b + Float64(c * fma(-2.0, Float64(a / b), Float64(c * fma(-4.0, Float64(Float64((a ^ 3.0) * c) / (b ^ 5.0)), Float64(-2.0 * Float64(Float64(a * a) / (b ^ 3.0))))))))) - Float64(Float64(-b) * t_0)))) / Float64(2.0 * a)) end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(-8.0 * N[(a * c), $MachinePrecision] + N[(-4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[(a * c), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$3 = N[(N[(16.0 * t$95$2 + N[(32.0 * t$95$2), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(-64.0 * N[Power[N[(a * c), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(b * N[(-0.5 * N[(N[(0.25 * N[Power[t$95$3, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$1 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$1 + N[(0.5 * N[(t$95$4 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$3 / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$0 * N[(b + N[(c * N[(-2.0 * N[(a / b), $MachinePrecision] + N[(c * N[(-4.0 * N[(N[(N[Power[a, 3.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-2.0 * N[(N[(a * a), $MachinePrecision] / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[((-b) * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)}\\
t_1 := \mathsf{fma}\left(-8, a \cdot c, -4 \cdot \left(a \cdot c\right)\right)\\
t_2 := {\left(a \cdot c\right)}^{2}\\
t_3 := \mathsf{fma}\left(16, t\_2, 32 \cdot t\_2\right) - 0.25 \cdot {t\_1}^{2}\\
t_4 := -64 \cdot {\left(a \cdot c\right)}^{3} - 0.5 \cdot \left(t\_1 \cdot t\_3\right)\\
\frac{\frac{b \cdot \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(0.25, {t\_3}^{2}, 0.5 \cdot \left(t\_1 \cdot t\_4\right)\right)}{{b}^{6}}, \mathsf{fma}\left(0.5, t\_1, \mathsf{fma}\left(0.5, \frac{t\_4}{{b}^{4}}, 0.5 \cdot \frac{t\_3}{b \cdot b}\right)\right)\right)}{\mathsf{fma}\left(b, b, t\_0 \cdot \left(b + c \cdot \mathsf{fma}\left(-2, \frac{a}{b}, c \cdot \mathsf{fma}\left(-4, \frac{{a}^{3} \cdot c}{{b}^{5}}, -2 \cdot \frac{a \cdot a}{{b}^{3}}\right)\right)\right) - \left(-b\right) \cdot t\_0\right)}}{2 \cdot a}
\end{array}
\end{array}
Initial program 55.9%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites55.8%
Taylor expanded in b around inf
Applied rewrites91.0%
Taylor expanded in c around 0
lower-+.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lift-/.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
Applied rewrites91.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma -8.0 (* a c) (* -4.0 (* a c))))
(t_1 (pow (* a c) 2.0))
(t_2 (- (fma 16.0 t_1 (* 32.0 t_1)) (* 0.25 (pow t_0 2.0))))
(t_3 (- (* -64.0 (pow (* a c) 3.0)) (* 0.5 (* t_0 t_2)))))
(/
(/
(*
b
(fma
-0.5
(/ (fma 0.25 (pow t_2 2.0) (* 0.5 (* t_0 t_3))) (pow b 6.0))
(fma 0.5 t_0 (fma 0.5 (/ t_3 (pow b 4.0)) (* 0.5 (/ t_2 (* b b)))))))
(fma
b
b
(-
(fma
c
(-
(fma
-4.0
a
(*
c
(-
(* -4.0 (/ (* (pow a 3.0) c) (pow b 4.0)))
(* 2.0 (/ (* a a) (* b b))))))
(* 2.0 a))
(* b b))
(* -1.0 (* b b)))))
(* 2.0 a))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, (a * c), (-4.0 * (a * c)));
double t_1 = pow((a * c), 2.0);
double t_2 = fma(16.0, t_1, (32.0 * t_1)) - (0.25 * pow(t_0, 2.0));
double t_3 = (-64.0 * pow((a * c), 3.0)) - (0.5 * (t_0 * t_2));
return ((b * fma(-0.5, (fma(0.25, pow(t_2, 2.0), (0.5 * (t_0 * t_3))) / pow(b, 6.0)), fma(0.5, t_0, fma(0.5, (t_3 / pow(b, 4.0)), (0.5 * (t_2 / (b * b))))))) / fma(b, b, (fma(c, (fma(-4.0, a, (c * ((-4.0 * ((pow(a, 3.0) * c) / pow(b, 4.0))) - (2.0 * ((a * a) / (b * b)))))) - (2.0 * a)), (b * b)) - (-1.0 * (b * b))))) / (2.0 * a);
}
function code(a, b, c) t_0 = fma(-8.0, Float64(a * c), Float64(-4.0 * Float64(a * c))) t_1 = Float64(a * c) ^ 2.0 t_2 = Float64(fma(16.0, t_1, Float64(32.0 * t_1)) - Float64(0.25 * (t_0 ^ 2.0))) t_3 = Float64(Float64(-64.0 * (Float64(a * c) ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_2))) return Float64(Float64(Float64(b * fma(-0.5, Float64(fma(0.25, (t_2 ^ 2.0), Float64(0.5 * Float64(t_0 * t_3))) / (b ^ 6.0)), fma(0.5, t_0, fma(0.5, Float64(t_3 / (b ^ 4.0)), Float64(0.5 * Float64(t_2 / Float64(b * b))))))) / fma(b, b, Float64(fma(c, Float64(fma(-4.0, a, Float64(c * Float64(Float64(-4.0 * Float64(Float64((a ^ 3.0) * c) / (b ^ 4.0))) - Float64(2.0 * Float64(Float64(a * a) / Float64(b * b)))))) - Float64(2.0 * a)), Float64(b * b)) - Float64(-1.0 * Float64(b * b))))) / Float64(2.0 * a)) end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * N[(a * c), $MachinePrecision] + N[(-4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(a * c), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$2 = N[(N[(16.0 * t$95$1 + N[(32.0 * t$95$1), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(-64.0 * N[Power[N[(a * c), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(b * N[(-0.5 * N[(N[(0.25 * N[Power[t$95$2, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$0 + N[(0.5 * N[(t$95$3 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$2 / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(c * N[(N[(-4.0 * a + N[(c * N[(N[(-4.0 * N[(N[(N[Power[a, 3.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(2.0 * N[(N[(a * a), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(2.0 * a), $MachinePrecision]), $MachinePrecision] + N[(b * b), $MachinePrecision]), $MachinePrecision] - N[(-1.0 * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, a \cdot c, -4 \cdot \left(a \cdot c\right)\right)\\
t_1 := {\left(a \cdot c\right)}^{2}\\
t_2 := \mathsf{fma}\left(16, t\_1, 32 \cdot t\_1\right) - 0.25 \cdot {t\_0}^{2}\\
t_3 := -64 \cdot {\left(a \cdot c\right)}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_2\right)\\
\frac{\frac{b \cdot \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(0.25, {t\_2}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_3\right)\right)}{{b}^{6}}, \mathsf{fma}\left(0.5, t\_0, \mathsf{fma}\left(0.5, \frac{t\_3}{{b}^{4}}, 0.5 \cdot \frac{t\_2}{b \cdot b}\right)\right)\right)}{\mathsf{fma}\left(b, b, \mathsf{fma}\left(c, \mathsf{fma}\left(-4, a, c \cdot \left(-4 \cdot \frac{{a}^{3} \cdot c}{{b}^{4}} - 2 \cdot \frac{a \cdot a}{b \cdot b}\right)\right) - 2 \cdot a, b \cdot b\right) - -1 \cdot \left(b \cdot b\right)\right)}}{2 \cdot a}
\end{array}
\end{array}
Initial program 55.9%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites55.8%
Taylor expanded in b around inf
Applied rewrites91.0%
Taylor expanded in c around 0
lower--.f64N/A
Applied rewrites91.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma -8.0 (* a c) (* -4.0 (* a c))))
(t_1 (fma (* -4.0 a) c (* b b)))
(t_2 (sqrt t_1))
(t_3 (fma b b (- (* t_2 t_2) (* (- b) t_2))))
(t_4 (pow (* a c) 2.0))
(t_5 (- (fma 16.0 t_4 (* 32.0 t_4)) (* 0.25 (pow t_0 2.0))))
(t_6 (- (* -64.0 (pow (* a c) 3.0)) (* 0.5 (* t_0 t_5)))))
(if (<= b 6.0)
(/ (/ (fma (* b b) (- b) (pow t_1 1.5)) t_3) (* 2.0 a))
(/
(/
(*
b
(fma
-0.5
(/ (fma 0.25 (pow t_5 2.0) (* 0.5 (* t_0 t_6))) (pow b 6.0))
(fma 0.5 t_0 (fma 0.5 (/ t_6 (pow b 4.0)) (* 0.5 (/ t_5 (* b b)))))))
t_3)
(* 2.0 a)))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, (a * c), (-4.0 * (a * c)));
double t_1 = fma((-4.0 * a), c, (b * b));
double t_2 = sqrt(t_1);
double t_3 = fma(b, b, ((t_2 * t_2) - (-b * t_2)));
double t_4 = pow((a * c), 2.0);
double t_5 = fma(16.0, t_4, (32.0 * t_4)) - (0.25 * pow(t_0, 2.0));
double t_6 = (-64.0 * pow((a * c), 3.0)) - (0.5 * (t_0 * t_5));
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_1, 1.5)) / t_3) / (2.0 * a);
} else {
tmp = ((b * fma(-0.5, (fma(0.25, pow(t_5, 2.0), (0.5 * (t_0 * t_6))) / pow(b, 6.0)), fma(0.5, t_0, fma(0.5, (t_6 / pow(b, 4.0)), (0.5 * (t_5 / (b * b))))))) / t_3) / (2.0 * a);
}
return tmp;
}
function code(a, b, c) t_0 = fma(-8.0, Float64(a * c), Float64(-4.0 * Float64(a * c))) t_1 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_2 = sqrt(t_1) t_3 = fma(b, b, Float64(Float64(t_2 * t_2) - Float64(Float64(-b) * t_2))) t_4 = Float64(a * c) ^ 2.0 t_5 = Float64(fma(16.0, t_4, Float64(32.0 * t_4)) - Float64(0.25 * (t_0 ^ 2.0))) t_6 = Float64(Float64(-64.0 * (Float64(a * c) ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_5))) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_1 ^ 1.5)) / t_3) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(b * fma(-0.5, Float64(fma(0.25, (t_5 ^ 2.0), Float64(0.5 * Float64(t_0 * t_6))) / (b ^ 6.0)), fma(0.5, t_0, fma(0.5, Float64(t_6 / (b ^ 4.0)), Float64(0.5 * Float64(t_5 / Float64(b * b))))))) / t_3) / Float64(2.0 * a)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * N[(a * c), $MachinePrecision] + N[(-4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[(b * b + N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[((-b) * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(a * c), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(N[(16.0 * t$95$4 + N[(32.0 * t$95$4), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(-64.0 * N[Power[N[(a * c), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$1, 1.5], $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(b * N[(-0.5 * N[(N[(0.25 * N[Power[t$95$5, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$0 + N[(0.5 * N[(t$95$6 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$5 / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, a \cdot c, -4 \cdot \left(a \cdot c\right)\right)\\
t_1 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_2 := \sqrt{t\_1}\\
t_3 := \mathsf{fma}\left(b, b, t\_2 \cdot t\_2 - \left(-b\right) \cdot t\_2\right)\\
t_4 := {\left(a \cdot c\right)}^{2}\\
t_5 := \mathsf{fma}\left(16, t\_4, 32 \cdot t\_4\right) - 0.25 \cdot {t\_0}^{2}\\
t_6 := -64 \cdot {\left(a \cdot c\right)}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_5\right)\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_1}^{1.5}\right)}{t\_3}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{b \cdot \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(0.25, {t\_5}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_6\right)\right)}{{b}^{6}}, \mathsf{fma}\left(0.5, t\_0, \mathsf{fma}\left(0.5, \frac{t\_6}{{b}^{4}}, 0.5 \cdot \frac{t\_5}{b \cdot b}\right)\right)\right)}{t\_3}}{2 \cdot a}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in b around inf
Applied rewrites94.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma -8.0 (* a c) (* -4.0 (* a c))))
(t_1 (fma (* -4.0 a) c (* b b)))
(t_2 (sqrt t_1))
(t_3 (* (- b) t_2))
(t_4 (pow (* a c) 2.0))
(t_5 (- (fma 16.0 t_4 (* 32.0 t_4)) (* 0.25 (pow t_0 2.0))))
(t_6 (- (* -64.0 (pow (* a c) 3.0)) (* 0.5 (* t_0 t_5)))))
(if (<= b 6.0)
(/
(/ (fma (* b b) (- b) (pow t_1 1.5)) (fma b b (- (* t_2 t_2) t_3)))
(* 2.0 a))
(/
(/
(*
b
(fma
-0.5
(/ (fma 0.25 (pow t_5 2.0) (* 0.5 (* t_0 t_6))) (pow b 6.0))
(fma 0.5 t_0 (fma 0.5 (/ t_6 (pow b 4.0)) (* 0.5 (/ t_5 (* b b)))))))
(fma b b (- t_1 t_3)))
(* 2.0 a)))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, (a * c), (-4.0 * (a * c)));
double t_1 = fma((-4.0 * a), c, (b * b));
double t_2 = sqrt(t_1);
double t_3 = -b * t_2;
double t_4 = pow((a * c), 2.0);
double t_5 = fma(16.0, t_4, (32.0 * t_4)) - (0.25 * pow(t_0, 2.0));
double t_6 = (-64.0 * pow((a * c), 3.0)) - (0.5 * (t_0 * t_5));
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_1, 1.5)) / fma(b, b, ((t_2 * t_2) - t_3))) / (2.0 * a);
} else {
tmp = ((b * fma(-0.5, (fma(0.25, pow(t_5, 2.0), (0.5 * (t_0 * t_6))) / pow(b, 6.0)), fma(0.5, t_0, fma(0.5, (t_6 / pow(b, 4.0)), (0.5 * (t_5 / (b * b))))))) / fma(b, b, (t_1 - t_3))) / (2.0 * a);
}
return tmp;
}
function code(a, b, c) t_0 = fma(-8.0, Float64(a * c), Float64(-4.0 * Float64(a * c))) t_1 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_2 = sqrt(t_1) t_3 = Float64(Float64(-b) * t_2) t_4 = Float64(a * c) ^ 2.0 t_5 = Float64(fma(16.0, t_4, Float64(32.0 * t_4)) - Float64(0.25 * (t_0 ^ 2.0))) t_6 = Float64(Float64(-64.0 * (Float64(a * c) ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_5))) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_1 ^ 1.5)) / fma(b, b, Float64(Float64(t_2 * t_2) - t_3))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(b * fma(-0.5, Float64(fma(0.25, (t_5 ^ 2.0), Float64(0.5 * Float64(t_0 * t_6))) / (b ^ 6.0)), fma(0.5, t_0, fma(0.5, Float64(t_6 / (b ^ 4.0)), Float64(0.5 * Float64(t_5 / Float64(b * b))))))) / fma(b, b, Float64(t_1 - t_3))) / Float64(2.0 * a)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * N[(a * c), $MachinePrecision] + N[(-4.0 * N[(a * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[((-b) * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[(a * c), $MachinePrecision], 2.0], $MachinePrecision]}, Block[{t$95$5 = N[(N[(16.0 * t$95$4 + N[(32.0 * t$95$4), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(-64.0 * N[Power[N[(a * c), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$1, 1.5], $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$2 * t$95$2), $MachinePrecision] - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(b * N[(-0.5 * N[(N[(0.25 * N[Power[t$95$5, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * t$95$0 + N[(0.5 * N[(t$95$6 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$5 / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(t$95$1 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, a \cdot c, -4 \cdot \left(a \cdot c\right)\right)\\
t_1 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_2 := \sqrt{t\_1}\\
t_3 := \left(-b\right) \cdot t\_2\\
t_4 := {\left(a \cdot c\right)}^{2}\\
t_5 := \mathsf{fma}\left(16, t\_4, 32 \cdot t\_4\right) - 0.25 \cdot {t\_0}^{2}\\
t_6 := -64 \cdot {\left(a \cdot c\right)}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_5\right)\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_1}^{1.5}\right)}{\mathsf{fma}\left(b, b, t\_2 \cdot t\_2 - t\_3\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{b \cdot \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(0.25, {t\_5}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_6\right)\right)}{{b}^{6}}, \mathsf{fma}\left(0.5, t\_0, \mathsf{fma}\left(0.5, \frac{t\_6}{{b}^{4}}, 0.5 \cdot \frac{t\_5}{b \cdot b}\right)\right)\right)}{\mathsf{fma}\left(b, b, t\_1 - t\_3\right)}}{2 \cdot a}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in b around inf
Applied rewrites94.2%
Applied rewrites94.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma -8.0 c (* -4.0 c)))
(t_1 (fma (* -4.0 a) c (* b b)))
(t_2 (sqrt t_1))
(t_3 (fma b b (- (* t_2 t_2) (* (- b) t_2))))
(t_4 (- (fma 16.0 (* c c) (* 32.0 (* c c))) (* 0.25 (pow t_0 2.0))))
(t_5 (- (* -64.0 (pow c 3.0)) (* 0.5 (* t_0 t_4)))))
(if (<= b 6.0)
(/ (/ (fma (* b b) (- b) (pow t_1 1.5)) t_3) (* 2.0 a))
(/
(/
(*
b
(*
a
(fma
0.5
t_0
(*
a
(fma
0.5
(/ t_4 (* b b))
(*
a
(fma
-0.5
(/
(* a (fma 0.25 (pow t_4 2.0) (* 0.5 (* t_0 t_5))))
(pow b 6.0))
(* 0.5 (/ t_5 (pow b 4.0))))))))))
t_3)
(* 2.0 a)))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, c, (-4.0 * c));
double t_1 = fma((-4.0 * a), c, (b * b));
double t_2 = sqrt(t_1);
double t_3 = fma(b, b, ((t_2 * t_2) - (-b * t_2)));
double t_4 = fma(16.0, (c * c), (32.0 * (c * c))) - (0.25 * pow(t_0, 2.0));
double t_5 = (-64.0 * pow(c, 3.0)) - (0.5 * (t_0 * t_4));
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_1, 1.5)) / t_3) / (2.0 * a);
} else {
tmp = ((b * (a * fma(0.5, t_0, (a * fma(0.5, (t_4 / (b * b)), (a * fma(-0.5, ((a * fma(0.25, pow(t_4, 2.0), (0.5 * (t_0 * t_5)))) / pow(b, 6.0)), (0.5 * (t_5 / pow(b, 4.0)))))))))) / t_3) / (2.0 * a);
}
return tmp;
}
function code(a, b, c) t_0 = fma(-8.0, c, Float64(-4.0 * c)) t_1 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_2 = sqrt(t_1) t_3 = fma(b, b, Float64(Float64(t_2 * t_2) - Float64(Float64(-b) * t_2))) t_4 = Float64(fma(16.0, Float64(c * c), Float64(32.0 * Float64(c * c))) - Float64(0.25 * (t_0 ^ 2.0))) t_5 = Float64(Float64(-64.0 * (c ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_4))) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_1 ^ 1.5)) / t_3) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(b * Float64(a * fma(0.5, t_0, Float64(a * fma(0.5, Float64(t_4 / Float64(b * b)), Float64(a * fma(-0.5, Float64(Float64(a * fma(0.25, (t_4 ^ 2.0), Float64(0.5 * Float64(t_0 * t_5)))) / (b ^ 6.0)), Float64(0.5 * Float64(t_5 / (b ^ 4.0)))))))))) / t_3) / Float64(2.0 * a)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * c + N[(-4.0 * c), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[t$95$1], $MachinePrecision]}, Block[{t$95$3 = N[(b * b + N[(N[(t$95$2 * t$95$2), $MachinePrecision] - N[((-b) * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(16.0 * N[(c * c), $MachinePrecision] + N[(32.0 * N[(c * c), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(-64.0 * N[Power[c, 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$1, 1.5], $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(b * N[(a * N[(0.5 * t$95$0 + N[(a * N[(0.5 * N[(t$95$4 / N[(b * b), $MachinePrecision]), $MachinePrecision] + N[(a * N[(-0.5 * N[(N[(a * N[(0.25 * N[Power[t$95$4, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$5 / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, c, -4 \cdot c\right)\\
t_1 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_2 := \sqrt{t\_1}\\
t_3 := \mathsf{fma}\left(b, b, t\_2 \cdot t\_2 - \left(-b\right) \cdot t\_2\right)\\
t_4 := \mathsf{fma}\left(16, c \cdot c, 32 \cdot \left(c \cdot c\right)\right) - 0.25 \cdot {t\_0}^{2}\\
t_5 := -64 \cdot {c}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_4\right)\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_1}^{1.5}\right)}{t\_3}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{b \cdot \left(a \cdot \mathsf{fma}\left(0.5, t\_0, a \cdot \mathsf{fma}\left(0.5, \frac{t\_4}{b \cdot b}, a \cdot \mathsf{fma}\left(-0.5, \frac{a \cdot \mathsf{fma}\left(0.25, {t\_4}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_5\right)\right)}{{b}^{6}}, 0.5 \cdot \frac{t\_5}{{b}^{4}}\right)\right)\right)\right)}{t\_3}}{2 \cdot a}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in b around inf
Applied rewrites94.2%
Taylor expanded in a around 0
Applied rewrites94.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma -8.0 a (* -4.0 a)))
(t_1 (- (fma 16.0 (* a a) (* 32.0 (* a a))) (* 0.25 (pow t_0 2.0))))
(t_2 (- (* -64.0 (pow a 3.0)) (* 0.5 (* t_0 t_1))))
(t_3 (fma (* -4.0 a) c (* b b)))
(t_4 (sqrt t_3))
(t_5 (fma b b (- (* t_4 t_4) (* (- b) t_4)))))
(if (<= b 6.0)
(/ (/ (fma (* b b) (- b) (pow t_3 1.5)) t_5) (* 2.0 a))
(/
(/
(*
c
(fma
0.5
(* b t_0)
(*
c
(fma
0.5
(/ t_1 b)
(*
c
(fma
-0.5
(/ (* c (fma 0.25 (pow t_1 2.0) (* 0.5 (* t_0 t_2)))) (pow b 5.0))
(* 0.5 (/ t_2 (pow b 3.0)))))))))
t_5)
(* 2.0 a)))))
double code(double a, double b, double c) {
double t_0 = fma(-8.0, a, (-4.0 * a));
double t_1 = fma(16.0, (a * a), (32.0 * (a * a))) - (0.25 * pow(t_0, 2.0));
double t_2 = (-64.0 * pow(a, 3.0)) - (0.5 * (t_0 * t_1));
double t_3 = fma((-4.0 * a), c, (b * b));
double t_4 = sqrt(t_3);
double t_5 = fma(b, b, ((t_4 * t_4) - (-b * t_4)));
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_3, 1.5)) / t_5) / (2.0 * a);
} else {
tmp = ((c * fma(0.5, (b * t_0), (c * fma(0.5, (t_1 / b), (c * fma(-0.5, ((c * fma(0.25, pow(t_1, 2.0), (0.5 * (t_0 * t_2)))) / pow(b, 5.0)), (0.5 * (t_2 / pow(b, 3.0))))))))) / t_5) / (2.0 * a);
}
return tmp;
}
function code(a, b, c) t_0 = fma(-8.0, a, Float64(-4.0 * a)) t_1 = Float64(fma(16.0, Float64(a * a), Float64(32.0 * Float64(a * a))) - Float64(0.25 * (t_0 ^ 2.0))) t_2 = Float64(Float64(-64.0 * (a ^ 3.0)) - Float64(0.5 * Float64(t_0 * t_1))) t_3 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_4 = sqrt(t_3) t_5 = fma(b, b, Float64(Float64(t_4 * t_4) - Float64(Float64(-b) * t_4))) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_3 ^ 1.5)) / t_5) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(c * fma(0.5, Float64(b * t_0), Float64(c * fma(0.5, Float64(t_1 / b), Float64(c * fma(-0.5, Float64(Float64(c * fma(0.25, (t_1 ^ 2.0), Float64(0.5 * Float64(t_0 * t_2)))) / (b ^ 5.0)), Float64(0.5 * Float64(t_2 / (b ^ 3.0))))))))) / t_5) / Float64(2.0 * a)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(-8.0 * a + N[(-4.0 * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(16.0 * N[(a * a), $MachinePrecision] + N[(32.0 * N[(a * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.25 * N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(-64.0 * N[Power[a, 3.0], $MachinePrecision]), $MachinePrecision] - N[(0.5 * N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[t$95$3], $MachinePrecision]}, Block[{t$95$5 = N[(b * b + N[(N[(t$95$4 * t$95$4), $MachinePrecision] - N[((-b) * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$3, 1.5], $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(c * N[(0.5 * N[(b * t$95$0), $MachinePrecision] + N[(c * N[(0.5 * N[(t$95$1 / b), $MachinePrecision] + N[(c * N[(-0.5 * N[(N[(c * N[(0.25 * N[Power[t$95$1, 2.0], $MachinePrecision] + N[(0.5 * N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(0.5 * N[(t$95$2 / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-8, a, -4 \cdot a\right)\\
t_1 := \mathsf{fma}\left(16, a \cdot a, 32 \cdot \left(a \cdot a\right)\right) - 0.25 \cdot {t\_0}^{2}\\
t_2 := -64 \cdot {a}^{3} - 0.5 \cdot \left(t\_0 \cdot t\_1\right)\\
t_3 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_4 := \sqrt{t\_3}\\
t_5 := \mathsf{fma}\left(b, b, t\_4 \cdot t\_4 - \left(-b\right) \cdot t\_4\right)\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_3}^{1.5}\right)}{t\_5}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{c \cdot \mathsf{fma}\left(0.5, b \cdot t\_0, c \cdot \mathsf{fma}\left(0.5, \frac{t\_1}{b}, c \cdot \mathsf{fma}\left(-0.5, \frac{c \cdot \mathsf{fma}\left(0.25, {t\_1}^{2}, 0.5 \cdot \left(t\_0 \cdot t\_2\right)\right)}{{b}^{5}}, 0.5 \cdot \frac{t\_2}{{b}^{3}}\right)\right)\right)}{t\_5}}{2 \cdot a}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites49.2%
Taylor expanded in b around inf
Applied rewrites94.2%
Taylor expanded in c around 0
Applied rewrites94.2%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 a) c (* b b))) (t_1 (sqrt t_0)))
(if (<= b 6.0)
(/
(/
(fma (* b b) (- b) (pow t_0 1.5))
(fma b b (- (* t_1 t_1) (* (- b) t_1))))
(* 2.0 a))
(/
(-
(*
(*
(* c c)
(-
(*
c
(fma -5.0 (/ (* (* a a) c) (pow b 6.0)) (* -2.0 (/ a (pow b 4.0)))))
(pow b -2.0)))
a)
c)
b))))
double code(double a, double b, double c) {
double t_0 = fma((-4.0 * a), c, (b * b));
double t_1 = sqrt(t_0);
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_0, 1.5)) / fma(b, b, ((t_1 * t_1) - (-b * t_1)))) / (2.0 * a);
} else {
tmp = ((((c * c) * ((c * fma(-5.0, (((a * a) * c) / pow(b, 6.0)), (-2.0 * (a / pow(b, 4.0))))) - pow(b, -2.0))) * a) - c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_1 = sqrt(t_0) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_0 ^ 1.5)) / fma(b, b, Float64(Float64(t_1 * t_1) - Float64(Float64(-b) * t_1)))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(c * c) * Float64(Float64(c * fma(-5.0, Float64(Float64(Float64(a * a) * c) / (b ^ 6.0)), Float64(-2.0 * Float64(a / (b ^ 4.0))))) - (b ^ -2.0))) * a) - c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[t$95$0], $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$0, 1.5], $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[((-b) * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(c * c), $MachinePrecision] * N[(N[(c * N[(-5.0 * N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(-2.0 * N[(a / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[Power[b, -2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * a), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_1 := \sqrt{t\_0}\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_0}^{1.5}\right)}{\mathsf{fma}\left(b, b, t\_1 \cdot t\_1 - \left(-b\right) \cdot t\_1\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(c \cdot c\right) \cdot \left(c \cdot \mathsf{fma}\left(-5, \frac{\left(a \cdot a\right) \cdot c}{{b}^{6}}, -2 \cdot \frac{a}{{b}^{4}}\right) - {b}^{-2}\right)\right) \cdot a - c}{b}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
Taylor expanded in b around inf
Applied rewrites94.0%
Taylor expanded in a around 0
lower--.f64N/A
Applied rewrites94.1%
Taylor expanded in c around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
Applied rewrites94.1%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 a) c (* b b))) (t_1 (sqrt t_0)))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.3)
(/
(/
(fma (* b b) (- b) (pow t_0 1.5))
(fma b b (- (* t_1 t_1) (* (- b) t_1))))
(* 2.0 a))
(/
(-
(* (/ (- (* -2.0 (/ (* a (pow c 3.0)) (* b b))) (* c c)) (* b b)) a)
c)
b))))
double code(double a, double b, double c) {
double t_0 = fma((-4.0 * a), c, (b * b));
double t_1 = sqrt(t_0);
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.3) {
tmp = (fma((b * b), -b, pow(t_0, 1.5)) / fma(b, b, ((t_1 * t_1) - (-b * t_1)))) / (2.0 * a);
} else {
tmp = (((((-2.0 * ((a * pow(c, 3.0)) / (b * b))) - (c * c)) / (b * b)) * a) - c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_1 = sqrt(t_0) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.3) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_0 ^ 1.5)) / fma(b, b, Float64(Float64(t_1 * t_1) - Float64(Float64(-b) * t_1)))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(Float64(a * (c ^ 3.0)) / Float64(b * b))) - Float64(c * c)) / Float64(b * b)) * a) - c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[t$95$0], $MachinePrecision]}, If[LessEqual[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], -0.3], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$0, 1.5], $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[((-b) * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(-2.0 * N[(N[(a * N[Power[c, 3.0], $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] * a), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_1 := \sqrt{t\_0}\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.3:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_0}^{1.5}\right)}{\mathsf{fma}\left(b, b, t\_1 \cdot t\_1 - \left(-b\right) \cdot t\_1\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{-2 \cdot \frac{a \cdot {c}^{3}}{b \cdot b} - c \cdot c}{b \cdot b} \cdot a - c}{b}\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.299999999999999989Initial program 80.8%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.7%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval82.2
Applied rewrites82.2%
if -0.299999999999999989 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 50.2%
Taylor expanded in b around inf
Applied rewrites93.6%
Taylor expanded in a around 0
lower--.f64N/A
Applied rewrites93.7%
Taylor expanded in b around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lift-pow.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6491.3
Applied rewrites91.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 a) c (* b b))) (t_1 (sqrt t_0)))
(if (<= b 6.0)
(/
(/
(fma (* b b) (- b) (pow t_0 1.5))
(fma b b (- (* t_1 t_1) (* (- b) t_1))))
(* 2.0 a))
(/
(*
(-
(*
(-
(*
(*
(* a a)
(- (* -5.0 (/ (* a c) (pow b 6.0))) (* 2.0 (pow b -4.0))))
c)
(/ a (* b b)))
c)
1.0)
c)
b))))
double code(double a, double b, double c) {
double t_0 = fma((-4.0 * a), c, (b * b));
double t_1 = sqrt(t_0);
double tmp;
if (b <= 6.0) {
tmp = (fma((b * b), -b, pow(t_0, 1.5)) / fma(b, b, ((t_1 * t_1) - (-b * t_1)))) / (2.0 * a);
} else {
tmp = (((((((a * a) * ((-5.0 * ((a * c) / pow(b, 6.0))) - (2.0 * pow(b, -4.0)))) * c) - (a / (b * b))) * c) - 1.0) * c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * a), c, Float64(b * b)) t_1 = sqrt(t_0) tmp = 0.0 if (b <= 6.0) tmp = Float64(Float64(fma(Float64(b * b), Float64(-b), (t_0 ^ 1.5)) / fma(b, b, Float64(Float64(t_1 * t_1) - Float64(Float64(-b) * t_1)))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) * Float64(Float64(-5.0 * Float64(Float64(a * c) / (b ^ 6.0))) - Float64(2.0 * (b ^ -4.0)))) * c) - Float64(a / Float64(b * b))) * c) - 1.0) * c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Sqrt[t$95$0], $MachinePrecision]}, If[LessEqual[b, 6.0], N[(N[(N[(N[(b * b), $MachinePrecision] * (-b) + N[Power[t$95$0, 1.5], $MachinePrecision]), $MachinePrecision] / N[(b * b + N[(N[(t$95$1 * t$95$1), $MachinePrecision] - N[((-b) * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] * N[(N[(-5.0 * N[(N[(a * c), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(2.0 * N[Power[b, -4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision] - N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision] - 1.0), $MachinePrecision] * c), $MachinePrecision] / b), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)\\
t_1 := \sqrt{t\_0}\\
\mathbf{if}\;b \leq 6:\\
\;\;\;\;\frac{\frac{\mathsf{fma}\left(b \cdot b, -b, {t\_0}^{1.5}\right)}{\mathsf{fma}\left(b, b, t\_1 \cdot t\_1 - \left(-b\right) \cdot t\_1\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\left(\left(a \cdot a\right) \cdot \left(-5 \cdot \frac{a \cdot c}{{b}^{6}} - 2 \cdot {b}^{-4}\right)\right) \cdot c - \frac{a}{b \cdot b}\right) \cdot c - 1\right) \cdot c}{b}\\
\end{array}
\end{array}
if b < 6Initial program 80.2%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip3-+N/A
lower-/.f64N/A
Applied rewrites80.2%
lift-+.f64N/A
lift-neg.f64N/A
lift-pow.f64N/A
unpow3N/A
sqr-neg-revN/A
pow2N/A
lift-pow.f64N/A
lift-sqrt.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fma.f64N/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lift-neg.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval81.6
Applied rewrites81.6%
if 6 < b Initial program 49.3%
Taylor expanded in b around inf
Applied rewrites94.0%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites93.9%
Taylor expanded in a around 0
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lift-*.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
pow-flipN/A
metadata-evalN/A
lower-pow.f6493.9
Applied rewrites93.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (fma (* -4.0 a) c (* b b)))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.3)
(/ (/ (- (* b b) (* t_0 t_0)) (- (- b) t_0)) (* 2.0 a))
(/
(-
(* (/ (- (* -2.0 (/ (* a (pow c 3.0)) (* b b))) (* c c)) (* b b)) a)
c)
b))))
double code(double a, double b, double c) {
double t_0 = sqrt(fma((-4.0 * a), c, (b * b)));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.3) {
tmp = (((b * b) - (t_0 * t_0)) / (-b - t_0)) / (2.0 * a);
} else {
tmp = (((((-2.0 * ((a * pow(c, 3.0)) / (b * b))) - (c * c)) / (b * b)) * a) - c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = sqrt(fma(Float64(-4.0 * a), c, Float64(b * b))) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.3) tmp = Float64(Float64(Float64(Float64(b * b) - Float64(t_0 * t_0)) / Float64(Float64(-b) - t_0)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(Float64(a * (c ^ 3.0)) / Float64(b * b))) - Float64(c * c)) / Float64(b * b)) * a) - c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[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], -0.3], N[(N[(N[(N[(b * b), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[((-b) - t$95$0), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(-2.0 * N[(N[(a * N[Power[c, 3.0], $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] * a), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)}\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.3:\\
\;\;\;\;\frac{\frac{b \cdot b - t\_0 \cdot t\_0}{\left(-b\right) - t\_0}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{-2 \cdot \frac{a \cdot {c}^{3}}{b \cdot b} - c \cdot c}{b \cdot b} \cdot a - c}{b}\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.299999999999999989Initial program 80.8%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip-+N/A
lower-/.f64N/A
Applied rewrites80.9%
if -0.299999999999999989 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 50.2%
Taylor expanded in b around inf
Applied rewrites93.6%
Taylor expanded in a around 0
lower--.f64N/A
Applied rewrites93.7%
Taylor expanded in b around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lift-pow.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6491.3
Applied rewrites91.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (fma (* -4.0 a) c (* b b)))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.3)
(/ (/ (- (* b b) (* t_0 t_0)) (- (- b) t_0)) (* 2.0 a))
(fma
(* (/ (fma -2.0 (* a c) (* -1.0 (* b b))) (pow b 5.0)) (* c c))
a
(/ (- c) b)))))
double code(double a, double b, double c) {
double t_0 = sqrt(fma((-4.0 * a), c, (b * b)));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.3) {
tmp = (((b * b) - (t_0 * t_0)) / (-b - t_0)) / (2.0 * a);
} else {
tmp = fma(((fma(-2.0, (a * c), (-1.0 * (b * b))) / pow(b, 5.0)) * (c * c)), a, (-c / b));
}
return tmp;
}
function code(a, b, c) t_0 = sqrt(fma(Float64(-4.0 * a), c, Float64(b * b))) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.3) tmp = Float64(Float64(Float64(Float64(b * b) - Float64(t_0 * t_0)) / Float64(Float64(-b) - t_0)) / Float64(2.0 * a)); else tmp = fma(Float64(Float64(fma(-2.0, Float64(a * c), Float64(-1.0 * Float64(b * b))) / (b ^ 5.0)) * Float64(c * c)), a, Float64(Float64(-c) / b)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[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], -0.3], N[(N[(N[(N[(b * b), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[((-b) - t$95$0), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(-2.0 * N[(a * c), $MachinePrecision] + N[(-1.0 * N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * a + N[((-c) / b), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)}\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.3:\\
\;\;\;\;\frac{\frac{b \cdot b - t\_0 \cdot t\_0}{\left(-b\right) - t\_0}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(-2, a \cdot c, -1 \cdot \left(b \cdot b\right)\right)}{{b}^{5}} \cdot \left(c \cdot c\right), a, \frac{-c}{b}\right)\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.299999999999999989Initial program 80.8%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip-+N/A
lower-/.f64N/A
Applied rewrites80.9%
if -0.299999999999999989 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 50.2%
Taylor expanded in a around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites91.3%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
associate-*r/N/A
lower-/.f64N/A
*-commutativeN/A
lower-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-pow.f64N/A
pow-flipN/A
lower-pow.f64N/A
metadata-evalN/A
pow2N/A
lift-*.f6491.3
Applied rewrites91.3%
Taylor expanded in b around 0
lower-/.f64N/A
lower-fma.f64N/A
lift-*.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-pow.f6491.3
Applied rewrites91.3%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (sqrt (fma (* -4.0 a) c (* b b)))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.3)
(/ (/ (- (* b b) (* t_0 t_0)) (- (- b) t_0)) (* 2.0 a))
(/
(* (- (* (/ (- (* -2.0 (/ (* (* a a) c) (* b b))) a) (* b b)) c) 1.0) c)
b))))
double code(double a, double b, double c) {
double t_0 = sqrt(fma((-4.0 * a), c, (b * b)));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.3) {
tmp = (((b * b) - (t_0 * t_0)) / (-b - t_0)) / (2.0 * a);
} else {
tmp = ((((((-2.0 * (((a * a) * c) / (b * b))) - a) / (b * b)) * c) - 1.0) * c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = sqrt(fma(Float64(-4.0 * a), c, Float64(b * b))) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.3) tmp = Float64(Float64(Float64(Float64(b * b) - Float64(t_0 * t_0)) / Float64(Float64(-b) - t_0)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(Float64(Float64(a * a) * c) / Float64(b * b))) - a) / Float64(b * b)) * c) - 1.0) * c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[Sqrt[N[(N[(-4.0 * a), $MachinePrecision] * c + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[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], -0.3], N[(N[(N[(N[(b * b), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[((-b) - t$95$0), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(-2.0 * N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - a), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision] - 1.0), $MachinePrecision] * c), $MachinePrecision] / b), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sqrt{\mathsf{fma}\left(-4 \cdot a, c, b \cdot b\right)}\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.3:\\
\;\;\;\;\frac{\frac{b \cdot b - t\_0 \cdot t\_0}{\left(-b\right) - t\_0}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\frac{-2 \cdot \frac{\left(a \cdot a\right) \cdot c}{b \cdot b} - a}{b \cdot b} \cdot c - 1\right) \cdot c}{b}\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.299999999999999989Initial program 80.8%
lift-neg.f64N/A
lift-+.f64N/A
lift-sqrt.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
flip-+N/A
lower-/.f64N/A
Applied rewrites80.9%
if -0.299999999999999989 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 50.2%
Taylor expanded in b around inf
Applied rewrites93.6%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites93.5%
Taylor expanded in b around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6491.1
Applied rewrites91.1%
(FPCore (a b c)
:precision binary64
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.3)
(/ (+ (- b) (sqrt (fma b b (* -4.0 (* c a))))) (* 2.0 a))
(/
(* (- (* (/ (- (* -2.0 (/ (* (* a a) c) (* b b))) a) (* b b)) c) 1.0) c)
b)))
double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.3) {
tmp = (-b + sqrt(fma(b, b, (-4.0 * (c * a))))) / (2.0 * a);
} else {
tmp = ((((((-2.0 * (((a * a) * c) / (b * b))) - a) / (b * b)) * c) - 1.0) * c) / b;
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.3) tmp = Float64(Float64(Float64(-b) + sqrt(fma(b, b, Float64(-4.0 * Float64(c * a))))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(-2.0 * Float64(Float64(Float64(a * a) * c) / Float64(b * b))) - a) / Float64(b * b)) * c) - 1.0) * c) / b); end return tmp end
code[a_, b_, c_] := If[LessEqual[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], -0.3], N[(N[((-b) + N[Sqrt[N[(b * b + N[(-4.0 * N[(c * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(-2.0 * N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - a), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision] - 1.0), $MachinePrecision] * c), $MachinePrecision] / b), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.3:\\
\;\;\;\;\frac{\left(-b\right) + \sqrt{\mathsf{fma}\left(b, b, -4 \cdot \left(c \cdot a\right)\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\frac{-2 \cdot \frac{\left(a \cdot a\right) \cdot c}{b \cdot b} - a}{b \cdot b} \cdot c - 1\right) \cdot c}{b}\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.299999999999999989Initial program 80.8%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
associate-*r*N/A
fp-cancel-sub-sign-invN/A
pow2N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6481.0
Applied rewrites81.0%
if -0.299999999999999989 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 50.2%
Taylor expanded in b around inf
Applied rewrites93.6%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
Applied rewrites93.5%
Taylor expanded in b around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6491.1
Applied rewrites91.1%
(FPCore (a b c) :precision binary64 (if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.0032) (/ (+ (- b) (sqrt (fma b b (* -4.0 (* c a))))) (* 2.0 a)) (/ (- (/ (* (- a) (* c c)) (* b b)) c) b)))
double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.0032) {
tmp = (-b + sqrt(fma(b, b, (-4.0 * (c * a))))) / (2.0 * a);
} else {
tmp = (((-a * (c * c)) / (b * b)) - c) / b;
}
return tmp;
}
function code(a, b, c) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -0.0032) tmp = Float64(Float64(Float64(-b) + sqrt(fma(b, b, Float64(-4.0 * Float64(c * a))))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(-a) * Float64(c * c)) / Float64(b * b)) - c) / b); end return tmp end
code[a_, b_, c_] := If[LessEqual[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], -0.0032], N[(N[((-b) + N[Sqrt[N[(b * b + N[(-4.0 * N[(c * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[((-a) * N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.0032:\\
\;\;\;\;\frac{\left(-b\right) + \sqrt{\mathsf{fma}\left(b, b, -4 \cdot \left(c \cdot a\right)\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\frac{\left(-a\right) \cdot \left(c \cdot c\right)}{b \cdot b} - c}{b}\\
\end{array}
\end{array}
if (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) < -0.00320000000000000015Initial program 76.9%
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
associate-*r*N/A
fp-cancel-sub-sign-invN/A
pow2N/A
metadata-evalN/A
lower-fma.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f6477.1
Applied rewrites77.1%
if -0.00320000000000000015 < (/.f64 (+.f64 (neg.f64 b) (sqrt.f64 (-.f64 (*.f64 b b) (*.f64 (*.f64 #s(literal 4 binary64) a) c)))) (*.f64 #s(literal 2 binary64) a)) Initial program 45.5%
Taylor expanded in b around inf
Applied rewrites95.4%
Taylor expanded in a around 0
lower--.f64N/A
associate-*r/N/A
lower-/.f64N/A
associate-*r*N/A
mul-1-negN/A
lower-*.f64N/A
lower-neg.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6489.2
Applied rewrites89.2%
(FPCore (a b c) :precision binary64 (/ (- (/ (* (- a) (* c c)) (* b b)) c) b))
double code(double a, double b, double c) {
return (((-a * (c * c)) / (b * b)) - c) / b;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(a, b, c)
use fmin_fmax_functions
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = (((-a * (c * c)) / (b * b)) - c) / b
end function
public static double code(double a, double b, double c) {
return (((-a * (c * c)) / (b * b)) - c) / b;
}
def code(a, b, c): return (((-a * (c * c)) / (b * b)) - c) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(-a) * Float64(c * c)) / Float64(b * b)) - c) / b) end
function tmp = code(a, b, c) tmp = (((-a * (c * c)) / (b * b)) - c) / b; end
code[a_, b_, c_] := N[(N[(N[(N[((-a) * N[(c * c), $MachinePrecision]), $MachinePrecision] / N[(b * b), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\left(-a\right) \cdot \left(c \cdot c\right)}{b \cdot b} - c}{b}
\end{array}
Initial program 55.9%
Taylor expanded in b around inf
Applied rewrites90.5%
Taylor expanded in a around 0
lower--.f64N/A
associate-*r/N/A
lower-/.f64N/A
associate-*r*N/A
mul-1-negN/A
lower-*.f64N/A
lower-neg.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6481.3
Applied rewrites81.3%
(FPCore (a b c) :precision binary64 (/ (* (- (- (* a (/ c (* b b)))) 1.0) c) b))
double code(double a, double b, double c) {
return ((-(a * (c / (b * b))) - 1.0) * c) / b;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(a, b, c)
use fmin_fmax_functions
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = ((-(a * (c / (b * b))) - 1.0d0) * c) / b
end function
public static double code(double a, double b, double c) {
return ((-(a * (c / (b * b))) - 1.0) * c) / b;
}
def code(a, b, c): return ((-(a * (c / (b * b))) - 1.0) * c) / b
function code(a, b, c) return Float64(Float64(Float64(Float64(-Float64(a * Float64(c / Float64(b * b)))) - 1.0) * c) / b) end
function tmp = code(a, b, c) tmp = ((-(a * (c / (b * b))) - 1.0) * c) / b; end
code[a_, b_, c_] := N[(N[(N[((-N[(a * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - 1.0), $MachinePrecision] * c), $MachinePrecision] / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\left(-a \cdot \frac{c}{b \cdot b}\right) - 1\right) \cdot c}{b}
\end{array}
Initial program 55.9%
Taylor expanded in b around inf
Applied rewrites90.5%
Taylor expanded in c around 0
*-commutativeN/A
lower-*.f64N/A
lower--.f64N/A
mul-1-negN/A
lower-neg.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f64N/A
pow2N/A
lift-*.f6481.2
Applied rewrites81.2%
(FPCore (a b c) :precision binary64 (/ (- c) b))
double code(double a, double b, double c) {
return -c / b;
}
module fmin_fmax_functions
implicit none
private
public fmax
public fmin
interface fmax
module procedure fmax88
module procedure fmax44
module procedure fmax84
module procedure fmax48
end interface
interface fmin
module procedure fmin88
module procedure fmin44
module procedure fmin84
module procedure fmin48
end interface
contains
real(8) function fmax88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(4) function fmax44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, max(x, y), y /= y), x /= x)
end function
real(8) function fmax84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, max(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmax48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), max(dble(x), y), y /= y), x /= x)
end function
real(8) function fmin88(x, y) result (res)
real(8), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(4) function fmin44(x, y) result (res)
real(4), intent (in) :: x
real(4), intent (in) :: y
res = merge(y, merge(x, min(x, y), y /= y), x /= x)
end function
real(8) function fmin84(x, y) result(res)
real(8), intent (in) :: x
real(4), intent (in) :: y
res = merge(dble(y), merge(x, min(x, dble(y)), y /= y), x /= x)
end function
real(8) function fmin48(x, y) result(res)
real(4), intent (in) :: x
real(8), intent (in) :: y
res = merge(y, merge(dble(x), min(dble(x), y), y /= y), x /= x)
end function
end module
real(8) function code(a, b, c)
use fmin_fmax_functions
real(8), intent (in) :: a
real(8), intent (in) :: b
real(8), intent (in) :: c
code = -c / b
end function
public static double code(double a, double b, double c) {
return -c / b;
}
def code(a, b, c): return -c / b
function code(a, b, c) return Float64(Float64(-c) / b) end
function tmp = code(a, b, c) tmp = -c / b; end
code[a_, b_, c_] := N[((-c) / b), $MachinePrecision]
\begin{array}{l}
\\
\frac{-c}{b}
\end{array}
Initial program 55.9%
Taylor expanded in a around 0
associate-*r/N/A
mul-1-negN/A
lower-/.f64N/A
lower-neg.f6464.1
Applied rewrites64.1%
herbie shell --seed 2025093
(FPCore (a b c)
:name "Quadratic roots, 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) (* (* 4.0 a) c)))) (* 2.0 a)))