
(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]
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
Herbie found 21 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]
\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a}
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 c) a (* b b)))
(t_1
(fma
b
(+ b (* (+ 1.0 (/ (sqrt (fma (* a c) -4.0 (* b b))) b)) b))
(* (* -4.0 c) a))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -1200.0)
(/
(fma (* (sqrt t_0) t_0) (/ 1.0 t_1) (/ (* (* (- b) b) b) t_1))
(* 2.0 a))
(fma
-1.0
(/ c b)
(*
a
(fma
-1.0
(/ (pow c 2.0) (pow b 3.0))
(*
a
(fma
-2.0
(/ (pow c 3.0) (pow b 5.0))
(*
-0.25
(/
(* a (fma 4.0 (pow c 4.0) (* 16.0 (pow c 4.0))))
(pow b 7.0)))))))))))double code(double a, double b, double c) {
double t_0 = fma((-4.0 * c), a, (b * b));
double t_1 = fma(b, (b + ((1.0 + (sqrt(fma((a * c), -4.0, (b * b))) / b)) * b)), ((-4.0 * c) * a));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -1200.0) {
tmp = fma((sqrt(t_0) * t_0), (1.0 / t_1), (((-b * b) * b) / t_1)) / (2.0 * a);
} else {
tmp = fma(-1.0, (c / b), (a * fma(-1.0, (pow(c, 2.0) / pow(b, 3.0)), (a * fma(-2.0, (pow(c, 3.0) / pow(b, 5.0)), (-0.25 * ((a * fma(4.0, pow(c, 4.0), (16.0 * pow(c, 4.0)))) / pow(b, 7.0))))))));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * c), a, Float64(b * b)) t_1 = fma(b, Float64(b + Float64(Float64(1.0 + Float64(sqrt(fma(Float64(a * c), -4.0, Float64(b * b))) / b)) * b)), Float64(Float64(-4.0 * c) * a)) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -1200.0) tmp = Float64(fma(Float64(sqrt(t_0) * t_0), Float64(1.0 / t_1), Float64(Float64(Float64(Float64(-b) * b) * b) / t_1)) / Float64(2.0 * a)); else tmp = fma(-1.0, Float64(c / b), Float64(a * fma(-1.0, Float64((c ^ 2.0) / (b ^ 3.0)), Float64(a * fma(-2.0, Float64((c ^ 3.0) / (b ^ 5.0)), Float64(-0.25 * Float64(Float64(a * fma(4.0, (c ^ 4.0), Float64(16.0 * (c ^ 4.0)))) / (b ^ 7.0)))))))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(b * N[(b + N[(N[(1.0 + N[(N[Sqrt[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $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], -1200.0], N[(N[(N[(N[Sqrt[t$95$0], $MachinePrecision] * t$95$0), $MachinePrecision] * N[(1.0 / t$95$1), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(c / b), $MachinePrecision] + N[(a * N[(-1.0 * N[(N[Power[c, 2.0], $MachinePrecision] / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision] + N[(a * N[(-2.0 * N[(N[Power[c, 3.0], $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-0.25 * N[(N[(a * N[(4.0 * N[Power[c, 4.0], $MachinePrecision] + N[(16.0 * N[Power[c, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[b, 7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)\\
t_1 := \mathsf{fma}\left(b, b + \left(1 + \frac{\sqrt{\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)}}{b}\right) \cdot b, \left(-4 \cdot c\right) \cdot a\right)\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -1200:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{t\_0} \cdot t\_0, \frac{1}{t\_1}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{t\_1}\right)}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{c}{b}, a \cdot \mathsf{fma}\left(-1, \frac{{c}^{2}}{{b}^{3}}, a \cdot \mathsf{fma}\left(-2, \frac{{c}^{3}}{{b}^{5}}, -0.25 \cdot \frac{a \cdot \mathsf{fma}\left(4, {c}^{4}, 16 \cdot {c}^{4}\right)}{{b}^{7}}\right)\right)\right)\\
\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)) < -1200Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites57.1%
lift-+.f64N/A
+-commutativeN/A
sum-to-multN/A
lower-unsound-*.f64N/A
lower-unsound-+.f64N/A
lower-unsound-/.f6456.9%
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6456.9%
Applied rewrites56.9%
lift-+.f64N/A
+-commutativeN/A
sum-to-multN/A
lower-unsound-*.f64N/A
lower-unsound-+.f64N/A
lower-unsound-/.f6457.1%
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6457.1%
Applied rewrites57.1%
if -1200 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in a around 0
lower-fma.f64N/A
lower-/.f64N/A
lower-*.f64N/A
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 c) a (* b b)))
(t_1
(fma
b
(+ b (* (+ 1.0 (/ (sqrt (fma (* a c) -4.0 (* b b))) b)) b))
(* (* -4.0 c) a))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -1200.0)
(/
(fma (* (sqrt t_0) t_0) (/ 1.0 t_1) (/ (* (* (- b) b) b) t_1))
(* 2.0 a))
(+
(/ (- (* (* (* (* a a) c) (* c c)) (* (pow b -4.0) -2.0)) c) b)
(/
(-
(* (* (pow (* c a) 4.0) (/ 20.0 (* (pow b 6.0) a))) -0.25)
(* (* c c) (/ a (* b b))))
b)))))double code(double a, double b, double c) {
double t_0 = fma((-4.0 * c), a, (b * b));
double t_1 = fma(b, (b + ((1.0 + (sqrt(fma((a * c), -4.0, (b * b))) / b)) * b)), ((-4.0 * c) * a));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -1200.0) {
tmp = fma((sqrt(t_0) * t_0), (1.0 / t_1), (((-b * b) * b) / t_1)) / (2.0 * a);
} else {
tmp = ((((((a * a) * c) * (c * c)) * (pow(b, -4.0) * -2.0)) - c) / b) + ((((pow((c * a), 4.0) * (20.0 / (pow(b, 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / b);
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * c), a, Float64(b * b)) t_1 = fma(b, Float64(b + Float64(Float64(1.0 + Float64(sqrt(fma(Float64(a * c), -4.0, Float64(b * b))) / b)) * b)), Float64(Float64(-4.0 * c) * a)) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -1200.0) tmp = Float64(fma(Float64(sqrt(t_0) * t_0), Float64(1.0 / t_1), Float64(Float64(Float64(Float64(-b) * b) * b) / t_1)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) * c) * Float64(c * c)) * Float64((b ^ -4.0) * -2.0)) - c) / b) + Float64(Float64(Float64(Float64((Float64(c * a) ^ 4.0) * Float64(20.0 / Float64((b ^ 6.0) * a))) * -0.25) - Float64(Float64(c * c) * Float64(a / Float64(b * b)))) / b)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(b * N[(b + N[(N[(1.0 + N[(N[Sqrt[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $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], -1200.0], N[(N[(N[(N[Sqrt[t$95$0], $MachinePrecision] * t$95$0), $MachinePrecision] * N[(1.0 / t$95$1), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(N[Power[b, -4.0], $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision] + N[(N[(N[(N[(N[Power[N[(c * a), $MachinePrecision], 4.0], $MachinePrecision] * N[(20.0 / N[(N[Power[b, 6.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision] - N[(N[(c * c), $MachinePrecision] * N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)\\
t_1 := \mathsf{fma}\left(b, b + \left(1 + \frac{\sqrt{\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)}}{b}\right) \cdot b, \left(-4 \cdot c\right) \cdot a\right)\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -1200:\\
\;\;\;\;\frac{\mathsf{fma}\left(\sqrt{t\_0} \cdot t\_0, \frac{1}{t\_1}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{t\_1}\right)}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\left(a \cdot a\right) \cdot c\right) \cdot \left(c \cdot c\right)\right) \cdot \left({b}^{-4} \cdot -2\right) - c}{b} + \frac{\left({\left(c \cdot a\right)}^{4} \cdot \frac{20}{{b}^{6} \cdot a}\right) \cdot -0.25 - \left(c \cdot c\right) \cdot \frac{a}{b \cdot b}}{b}\\
\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)) < -1200Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites57.1%
lift-+.f64N/A
+-commutativeN/A
sum-to-multN/A
lower-unsound-*.f64N/A
lower-unsound-+.f64N/A
lower-unsound-/.f6456.9%
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6456.9%
Applied rewrites56.9%
lift-+.f64N/A
+-commutativeN/A
sum-to-multN/A
lower-unsound-*.f64N/A
lower-unsound-+.f64N/A
lower-unsound-/.f6457.1%
lift-fma.f64N/A
lift-*.f64N/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6457.1%
Applied rewrites57.1%
if -1200 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0
(fma
b
(+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b))
(* (* -4.0 c) a))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -1200.0)
(/
(fma
(pow (fma (* a c) -4.0 (* b b)) 1.5)
(/ 1.0 t_0)
(/ (* (* (- b) b) b) t_0))
(* 2.0 a))
(+
(/ (- (* (* (* (* a a) c) (* c c)) (* (pow b -4.0) -2.0)) c) b)
(/
(-
(* (* (pow (* c a) 4.0) (/ 20.0 (* (pow b 6.0) a))) -0.25)
(* (* c c) (/ a (* b b))))
b)))))double code(double a, double b, double c) {
double t_0 = fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -1200.0) {
tmp = fma(pow(fma((a * c), -4.0, (b * b)), 1.5), (1.0 / t_0), (((-b * b) * b) / t_0)) / (2.0 * a);
} else {
tmp = ((((((a * a) * c) * (c * c)) * (pow(b, -4.0) * -2.0)) - c) / b) + ((((pow((c * a), 4.0) * (20.0 / (pow(b, 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / b);
}
return tmp;
}
function code(a, b, c) t_0 = fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a)) tmp = 0.0 if (Float64(Float64(Float64(-b) + sqrt(Float64(Float64(b * b) - Float64(Float64(4.0 * a) * c)))) / Float64(2.0 * a)) <= -1200.0) tmp = Float64(fma((fma(Float64(a * c), -4.0, Float64(b * b)) ^ 1.5), Float64(1.0 / t_0), Float64(Float64(Float64(Float64(-b) * b) * b) / t_0)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) * c) * Float64(c * c)) * Float64((b ^ -4.0) * -2.0)) - c) / b) + Float64(Float64(Float64(Float64((Float64(c * a) ^ 4.0) * Float64(20.0 / Float64((b ^ 6.0) * a))) * -0.25) - Float64(Float64(c * c) * Float64(a / Float64(b * b)))) / b)); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $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], -1200.0], N[(N[(N[Power[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision] * N[(1.0 / t$95$0), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(N[Power[b, -4.0], $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision] + N[(N[(N[(N[(N[Power[N[(c * a), $MachinePrecision], 4.0], $MachinePrecision] * N[(20.0 / N[(N[Power[b, 6.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision] - N[(N[(c * c), $MachinePrecision] * N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)\\
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -1200:\\
\;\;\;\;\frac{\mathsf{fma}\left({\left(\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)\right)}^{1.5}, \frac{1}{t\_0}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{t\_0}\right)}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(\left(\left(a \cdot a\right) \cdot c\right) \cdot \left(c \cdot c\right)\right) \cdot \left({b}^{-4} \cdot -2\right) - c}{b} + \frac{\left({\left(c \cdot a\right)}^{4} \cdot \frac{20}{{b}^{6} \cdot a}\right) \cdot -0.25 - \left(c \cdot c\right) \cdot \frac{a}{b \cdot b}}{b}\\
\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)) < -1200Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites57.1%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
pow-plusN/A
metadata-evalN/A
metadata-evalN/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
metadata-eval57.2%
Applied rewrites57.2%
if -1200 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (pow (* a c) 4.0))
(t_1 (* t_0 20.0))
(t_2 (* (* (* c c) c) (* (* a a) a)))
(t_3 (* t_0 (pow b -6.0)))
(t_4 (* t_2 (pow b -4.0)))
(t_5 (* (* c c) (* a a)))
(t_6 (/ t_5 (* b b)))
(t_7 (* t_5 0.0)))
(/
(*
(fma
t_4
-8.0
(fma
(* -4.0 a)
c
(fma
t_6
-4.0
(fma
t_4
-4.0
(fma
(* -2.0 a)
c
(fma
(* (* (* (* t_2 0.0) c) a) (pow b -6.0))
-2.0
(fma
(* (* (* t_7 c) a) (pow b -4.0))
-2.0
(fma
(* (* (* t_7 (* c c)) (* a a)) (pow b -6.0))
-2.0
(fma
-2.0
t_6
(+
(/ (fma -1.0 t_1 (* -0.5 t_1)) (pow b 6.0))
(fma
t_6
4.0
(fma
t_3
4.0
(fma 8.0 t_6 (fma 16.0 t_4 (* t_3 32.0)))))))))))))))
b)
(*
(fma
b
(+
b
(*
(+
(fma
(* t_2 (pow b -6.0))
-4.0
(* -2.0 (fma a (/ c (* b b)) (* t_5 (pow b -4.0)))))
1.0)
b))
(fma (* a c) -4.0 (* b b)))
(+ a a)))))double code(double a, double b, double c) {
double t_0 = pow((a * c), 4.0);
double t_1 = t_0 * 20.0;
double t_2 = ((c * c) * c) * ((a * a) * a);
double t_3 = t_0 * pow(b, -6.0);
double t_4 = t_2 * pow(b, -4.0);
double t_5 = (c * c) * (a * a);
double t_6 = t_5 / (b * b);
double t_7 = t_5 * 0.0;
return (fma(t_4, -8.0, fma((-4.0 * a), c, fma(t_6, -4.0, fma(t_4, -4.0, fma((-2.0 * a), c, fma(((((t_2 * 0.0) * c) * a) * pow(b, -6.0)), -2.0, fma((((t_7 * c) * a) * pow(b, -4.0)), -2.0, fma((((t_7 * (c * c)) * (a * a)) * pow(b, -6.0)), -2.0, fma(-2.0, t_6, ((fma(-1.0, t_1, (-0.5 * t_1)) / pow(b, 6.0)) + fma(t_6, 4.0, fma(t_3, 4.0, fma(8.0, t_6, fma(16.0, t_4, (t_3 * 32.0))))))))))))))) * b) / (fma(b, (b + ((fma((t_2 * pow(b, -6.0)), -4.0, (-2.0 * fma(a, (c / (b * b)), (t_5 * pow(b, -4.0))))) + 1.0) * b)), fma((a * c), -4.0, (b * b))) * (a + a));
}
function code(a, b, c) t_0 = Float64(a * c) ^ 4.0 t_1 = Float64(t_0 * 20.0) t_2 = Float64(Float64(Float64(c * c) * c) * Float64(Float64(a * a) * a)) t_3 = Float64(t_0 * (b ^ -6.0)) t_4 = Float64(t_2 * (b ^ -4.0)) t_5 = Float64(Float64(c * c) * Float64(a * a)) t_6 = Float64(t_5 / Float64(b * b)) t_7 = Float64(t_5 * 0.0) return Float64(Float64(fma(t_4, -8.0, fma(Float64(-4.0 * a), c, fma(t_6, -4.0, fma(t_4, -4.0, fma(Float64(-2.0 * a), c, fma(Float64(Float64(Float64(Float64(t_2 * 0.0) * c) * a) * (b ^ -6.0)), -2.0, fma(Float64(Float64(Float64(t_7 * c) * a) * (b ^ -4.0)), -2.0, fma(Float64(Float64(Float64(t_7 * Float64(c * c)) * Float64(a * a)) * (b ^ -6.0)), -2.0, fma(-2.0, t_6, Float64(Float64(fma(-1.0, t_1, Float64(-0.5 * t_1)) / (b ^ 6.0)) + fma(t_6, 4.0, fma(t_3, 4.0, fma(8.0, t_6, fma(16.0, t_4, Float64(t_3 * 32.0))))))))))))))) * b) / Float64(fma(b, Float64(b + Float64(Float64(fma(Float64(t_2 * (b ^ -6.0)), -4.0, Float64(-2.0 * fma(a, Float64(c / Float64(b * b)), Float64(t_5 * (b ^ -4.0))))) + 1.0) * b)), fma(Float64(a * c), -4.0, Float64(b * b))) * Float64(a + a))) end
code[a_, b_, c_] := Block[{t$95$0 = N[Power[N[(a * c), $MachinePrecision], 4.0], $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * 20.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(c * c), $MachinePrecision] * c), $MachinePrecision] * N[(N[(a * a), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 * N[Power[b, -4.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(c * c), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 / N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$5 * 0.0), $MachinePrecision]}, N[(N[(N[(t$95$4 * -8.0 + N[(N[(-4.0 * a), $MachinePrecision] * c + N[(t$95$6 * -4.0 + N[(t$95$4 * -4.0 + N[(N[(-2.0 * a), $MachinePrecision] * c + N[(N[(N[(N[(N[(t$95$2 * 0.0), $MachinePrecision] * c), $MachinePrecision] * a), $MachinePrecision] * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision] * -2.0 + N[(N[(N[(N[(t$95$7 * c), $MachinePrecision] * a), $MachinePrecision] * N[Power[b, -4.0], $MachinePrecision]), $MachinePrecision] * -2.0 + N[(N[(N[(N[(t$95$7 * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision] * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision] * -2.0 + N[(-2.0 * t$95$6 + N[(N[(N[(-1.0 * t$95$1 + N[(-0.5 * t$95$1), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$6 * 4.0 + N[(t$95$3 * 4.0 + N[(8.0 * t$95$6 + N[(16.0 * t$95$4 + N[(t$95$3 * 32.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * b), $MachinePrecision] / N[(N[(b * N[(b + N[(N[(N[(N[(t$95$2 * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision] * -4.0 + N[(-2.0 * N[(a * N[(c / N[(b * b), $MachinePrecision]), $MachinePrecision] + N[(t$95$5 * N[Power[b, -4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] + N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(a + a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
t_0 := {\left(a \cdot c\right)}^{4}\\
t_1 := t\_0 \cdot 20\\
t_2 := \left(\left(c \cdot c\right) \cdot c\right) \cdot \left(\left(a \cdot a\right) \cdot a\right)\\
t_3 := t\_0 \cdot {b}^{-6}\\
t_4 := t\_2 \cdot {b}^{-4}\\
t_5 := \left(c \cdot c\right) \cdot \left(a \cdot a\right)\\
t_6 := \frac{t\_5}{b \cdot b}\\
t_7 := t\_5 \cdot 0\\
\frac{\mathsf{fma}\left(t\_4, -8, \mathsf{fma}\left(-4 \cdot a, c, \mathsf{fma}\left(t\_6, -4, \mathsf{fma}\left(t\_4, -4, \mathsf{fma}\left(-2 \cdot a, c, \mathsf{fma}\left(\left(\left(\left(t\_2 \cdot 0\right) \cdot c\right) \cdot a\right) \cdot {b}^{-6}, -2, \mathsf{fma}\left(\left(\left(t\_7 \cdot c\right) \cdot a\right) \cdot {b}^{-4}, -2, \mathsf{fma}\left(\left(\left(t\_7 \cdot \left(c \cdot c\right)\right) \cdot \left(a \cdot a\right)\right) \cdot {b}^{-6}, -2, \mathsf{fma}\left(-2, t\_6, \frac{\mathsf{fma}\left(-1, t\_1, -0.5 \cdot t\_1\right)}{{b}^{6}} + \mathsf{fma}\left(t\_6, 4, \mathsf{fma}\left(t\_3, 4, \mathsf{fma}\left(8, t\_6, \mathsf{fma}\left(16, t\_4, t\_3 \cdot 32\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right) \cdot b}{\mathsf{fma}\left(b, b + \left(\mathsf{fma}\left(t\_2 \cdot {b}^{-6}, -4, -2 \cdot \mathsf{fma}\left(a, \frac{c}{b \cdot b}, t\_5 \cdot {b}^{-4}\right)\right) + 1\right) \cdot b, \mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)\right) \cdot \left(a + a\right)}
\end{array}
Initial program 55.7%
lift-+.f64N/A
+-commutativeN/A
add-flipN/A
flip3--N/A
lower-unsound-/.f64N/A
Applied rewrites55.6%
Taylor expanded in b around inf
Applied rewrites91.4%
Taylor expanded in b around inf
lower-*.f64N/A
lower-+.f64N/A
lower-fma.f64N/A
Applied rewrites91.6%
Applied rewrites91.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (* (* c c) (* a a)))
(t_1 (fma (* c -4.0) a (* b b)))
(t_2 (* (* a a) a))
(t_3 (* (* c c) c))
(t_4 (/ t_0 (* b b)))
(t_5 (pow (* a c) 4.0))
(t_6 (* t_5 (pow b -6.0)))
(t_7 (* t_5 20.0))
(t_8 (* t_3 t_2))
(t_9 (* t_0 0.0)))
(/
(/
(*
(fma
(* (* -8.0 t_2) t_3)
(pow b -4.0)
(fma
(* -4.0 a)
c
(fma
t_4
-4.0
(fma
(* -4.0 t_8)
(pow b -4.0)
(fma
(* -2.0 a)
c
(fma
(* (* (* (* t_8 0.0) c) a) (pow b -6.0))
-2.0
(fma
(* -2.0 (* (* t_9 c) a))
(pow b -4.0)
(fma
(* (* (* t_9 (* c c)) (* a a)) (pow b -6.0))
-2.0
(fma
-2.0
t_4
(+
(/ (fma -1.0 t_7 (* -0.5 t_7)) (pow b 6.0))
(fma
t_4
4.0
(fma
t_6
4.0
(fma
8.0
t_4
(fma 16.0 (* t_8 (pow b -4.0)) (* t_6 32.0)))))))))))))))
b)
(+ t_1 (fma b b (* (sqrt t_1) b))))
(* 2.0 a))))double code(double a, double b, double c) {
double t_0 = (c * c) * (a * a);
double t_1 = fma((c * -4.0), a, (b * b));
double t_2 = (a * a) * a;
double t_3 = (c * c) * c;
double t_4 = t_0 / (b * b);
double t_5 = pow((a * c), 4.0);
double t_6 = t_5 * pow(b, -6.0);
double t_7 = t_5 * 20.0;
double t_8 = t_3 * t_2;
double t_9 = t_0 * 0.0;
return ((fma(((-8.0 * t_2) * t_3), pow(b, -4.0), fma((-4.0 * a), c, fma(t_4, -4.0, fma((-4.0 * t_8), pow(b, -4.0), fma((-2.0 * a), c, fma(((((t_8 * 0.0) * c) * a) * pow(b, -6.0)), -2.0, fma((-2.0 * ((t_9 * c) * a)), pow(b, -4.0), fma((((t_9 * (c * c)) * (a * a)) * pow(b, -6.0)), -2.0, fma(-2.0, t_4, ((fma(-1.0, t_7, (-0.5 * t_7)) / pow(b, 6.0)) + fma(t_4, 4.0, fma(t_6, 4.0, fma(8.0, t_4, fma(16.0, (t_8 * pow(b, -4.0)), (t_6 * 32.0))))))))))))))) * b) / (t_1 + fma(b, b, (sqrt(t_1) * b)))) / (2.0 * a);
}
function code(a, b, c) t_0 = Float64(Float64(c * c) * Float64(a * a)) t_1 = fma(Float64(c * -4.0), a, Float64(b * b)) t_2 = Float64(Float64(a * a) * a) t_3 = Float64(Float64(c * c) * c) t_4 = Float64(t_0 / Float64(b * b)) t_5 = Float64(a * c) ^ 4.0 t_6 = Float64(t_5 * (b ^ -6.0)) t_7 = Float64(t_5 * 20.0) t_8 = Float64(t_3 * t_2) t_9 = Float64(t_0 * 0.0) return Float64(Float64(Float64(fma(Float64(Float64(-8.0 * t_2) * t_3), (b ^ -4.0), fma(Float64(-4.0 * a), c, fma(t_4, -4.0, fma(Float64(-4.0 * t_8), (b ^ -4.0), fma(Float64(-2.0 * a), c, fma(Float64(Float64(Float64(Float64(t_8 * 0.0) * c) * a) * (b ^ -6.0)), -2.0, fma(Float64(-2.0 * Float64(Float64(t_9 * c) * a)), (b ^ -4.0), fma(Float64(Float64(Float64(t_9 * Float64(c * c)) * Float64(a * a)) * (b ^ -6.0)), -2.0, fma(-2.0, t_4, Float64(Float64(fma(-1.0, t_7, Float64(-0.5 * t_7)) / (b ^ 6.0)) + fma(t_4, 4.0, fma(t_6, 4.0, fma(8.0, t_4, fma(16.0, Float64(t_8 * (b ^ -4.0)), Float64(t_6 * 32.0))))))))))))))) * b) / Float64(t_1 + fma(b, b, Float64(sqrt(t_1) * b)))) / Float64(2.0 * a)) end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * c), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(c * -4.0), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(a * a), $MachinePrecision] * a), $MachinePrecision]}, Block[{t$95$3 = N[(N[(c * c), $MachinePrecision] * c), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 / N[(b * b), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(a * c), $MachinePrecision], 4.0], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$5 * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$5 * 20.0), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$3 * t$95$2), $MachinePrecision]}, Block[{t$95$9 = N[(t$95$0 * 0.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(-8.0 * t$95$2), $MachinePrecision] * t$95$3), $MachinePrecision] * N[Power[b, -4.0], $MachinePrecision] + N[(N[(-4.0 * a), $MachinePrecision] * c + N[(t$95$4 * -4.0 + N[(N[(-4.0 * t$95$8), $MachinePrecision] * N[Power[b, -4.0], $MachinePrecision] + N[(N[(-2.0 * a), $MachinePrecision] * c + N[(N[(N[(N[(N[(t$95$8 * 0.0), $MachinePrecision] * c), $MachinePrecision] * a), $MachinePrecision] * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision] * -2.0 + N[(N[(-2.0 * N[(N[(t$95$9 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision] * N[Power[b, -4.0], $MachinePrecision] + N[(N[(N[(N[(t$95$9 * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(a * a), $MachinePrecision]), $MachinePrecision] * N[Power[b, -6.0], $MachinePrecision]), $MachinePrecision] * -2.0 + N[(-2.0 * t$95$4 + N[(N[(N[(-1.0 * t$95$7 + N[(-0.5 * t$95$7), $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$4 * 4.0 + N[(t$95$6 * 4.0 + N[(8.0 * t$95$4 + N[(16.0 * N[(t$95$8 * N[Power[b, -4.0], $MachinePrecision]), $MachinePrecision] + N[(t$95$6 * 32.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * b), $MachinePrecision] / N[(t$95$1 + N[(b * b + N[(N[Sqrt[t$95$1], $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
t_0 := \left(c \cdot c\right) \cdot \left(a \cdot a\right)\\
t_1 := \mathsf{fma}\left(c \cdot -4, a, b \cdot b\right)\\
t_2 := \left(a \cdot a\right) \cdot a\\
t_3 := \left(c \cdot c\right) \cdot c\\
t_4 := \frac{t\_0}{b \cdot b}\\
t_5 := {\left(a \cdot c\right)}^{4}\\
t_6 := t\_5 \cdot {b}^{-6}\\
t_7 := t\_5 \cdot 20\\
t_8 := t\_3 \cdot t\_2\\
t_9 := t\_0 \cdot 0\\
\frac{\frac{\mathsf{fma}\left(\left(-8 \cdot t\_2\right) \cdot t\_3, {b}^{-4}, \mathsf{fma}\left(-4 \cdot a, c, \mathsf{fma}\left(t\_4, -4, \mathsf{fma}\left(-4 \cdot t\_8, {b}^{-4}, \mathsf{fma}\left(-2 \cdot a, c, \mathsf{fma}\left(\left(\left(\left(t\_8 \cdot 0\right) \cdot c\right) \cdot a\right) \cdot {b}^{-6}, -2, \mathsf{fma}\left(-2 \cdot \left(\left(t\_9 \cdot c\right) \cdot a\right), {b}^{-4}, \mathsf{fma}\left(\left(\left(t\_9 \cdot \left(c \cdot c\right)\right) \cdot \left(a \cdot a\right)\right) \cdot {b}^{-6}, -2, \mathsf{fma}\left(-2, t\_4, \frac{\mathsf{fma}\left(-1, t\_7, -0.5 \cdot t\_7\right)}{{b}^{6}} + \mathsf{fma}\left(t\_4, 4, \mathsf{fma}\left(t\_6, 4, \mathsf{fma}\left(8, t\_4, \mathsf{fma}\left(16, t\_8 \cdot {b}^{-4}, t\_6 \cdot 32\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right)\right) \cdot b}{t\_1 + \mathsf{fma}\left(b, b, \sqrt{t\_1} \cdot b\right)}}{2 \cdot a}
\end{array}
Initial program 55.7%
lift-+.f64N/A
+-commutativeN/A
add-flipN/A
flip3--N/A
lower-unsound-/.f64N/A
Applied rewrites55.6%
Taylor expanded in b around inf
Applied rewrites91.4%
Applied rewrites91.5%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (/ (* a (pow c 2.0)) (pow b 2.0)))
(t_1 (/ (* (pow a 2.0) (pow c 3.0)) (pow b 4.0)))
(t_2 (* (pow a 4.0) (pow c 4.0))))
(*
(*
b
(fma
-4.0
c
(fma
-4.0
t_1
(fma
-2.0
c
(fma
-2.0
t_0
(fma
-0.5
(/ (fma 4.0 t_2 (* 16.0 t_2)) (* a (pow b 6.0)))
(fma
8.0
t_0
(fma
8.0
t_1
(* 16.0 (/ (* (pow a 3.0) (pow c 4.0)) (pow b 6.0)))))))))))
(/
(/
1.0
(fma b (+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b)) (* (* -4.0 c) a)))
2.0))))double code(double a, double b, double c) {
double t_0 = (a * pow(c, 2.0)) / pow(b, 2.0);
double t_1 = (pow(a, 2.0) * pow(c, 3.0)) / pow(b, 4.0);
double t_2 = pow(a, 4.0) * pow(c, 4.0);
return (b * fma(-4.0, c, fma(-4.0, t_1, fma(-2.0, c, fma(-2.0, t_0, fma(-0.5, (fma(4.0, t_2, (16.0 * t_2)) / (a * pow(b, 6.0))), fma(8.0, t_0, fma(8.0, t_1, (16.0 * ((pow(a, 3.0) * pow(c, 4.0)) / pow(b, 6.0))))))))))) * ((1.0 / fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a))) / 2.0);
}
function code(a, b, c) t_0 = Float64(Float64(a * (c ^ 2.0)) / (b ^ 2.0)) t_1 = Float64(Float64((a ^ 2.0) * (c ^ 3.0)) / (b ^ 4.0)) t_2 = Float64((a ^ 4.0) * (c ^ 4.0)) return Float64(Float64(b * fma(-4.0, c, fma(-4.0, t_1, fma(-2.0, c, fma(-2.0, t_0, fma(-0.5, Float64(fma(4.0, t_2, Float64(16.0 * t_2)) / Float64(a * (b ^ 6.0))), fma(8.0, t_0, fma(8.0, t_1, Float64(16.0 * Float64(Float64((a ^ 3.0) * (c ^ 4.0)) / (b ^ 6.0))))))))))) * Float64(Float64(1.0 / fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a))) / 2.0)) end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(a * N[Power[c, 2.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 2.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Power[a, 2.0], $MachinePrecision] * N[Power[c, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 4.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[a, 4.0], $MachinePrecision] * N[Power[c, 4.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(b * N[(-4.0 * c + N[(-4.0 * t$95$1 + N[(-2.0 * c + N[(-2.0 * t$95$0 + N[(-0.5 * N[(N[(4.0 * t$95$2 + N[(16.0 * t$95$2), $MachinePrecision]), $MachinePrecision] / N[(a * N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(8.0 * t$95$0 + N[(8.0 * t$95$1 + N[(16.0 * N[(N[(N[Power[a, 3.0], $MachinePrecision] * N[Power[c, 4.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \frac{a \cdot {c}^{2}}{{b}^{2}}\\
t_1 := \frac{{a}^{2} \cdot {c}^{3}}{{b}^{4}}\\
t_2 := {a}^{4} \cdot {c}^{4}\\
\left(b \cdot \mathsf{fma}\left(-4, c, \mathsf{fma}\left(-4, t\_1, \mathsf{fma}\left(-2, c, \mathsf{fma}\left(-2, t\_0, \mathsf{fma}\left(-0.5, \frac{\mathsf{fma}\left(4, t\_2, 16 \cdot t\_2\right)}{a \cdot {b}^{6}}, \mathsf{fma}\left(8, t\_0, \mathsf{fma}\left(8, t\_1, 16 \cdot \frac{{a}^{3} \cdot {c}^{4}}{{b}^{6}}\right)\right)\right)\right)\right)\right)\right)\right) \cdot \frac{\frac{1}{\mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)}}{2}
\end{array}
Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
Taylor expanded in b around inf
Applied rewrites91.5%
(FPCore (a b c)
:precision binary64
(+
(/ (- (* (* (* (* a a) c) (* c c)) (* (pow b -4.0) -2.0)) c) b)
(/
(-
(* (* (pow (* c a) 4.0) (/ 20.0 (* (pow b 6.0) a))) -0.25)
(* (* c c) (/ a (* b b))))
b)))double code(double a, double b, double c) {
return ((((((a * a) * c) * (c * c)) * (pow(b, -4.0) * -2.0)) - c) / b) + ((((pow((c * a), 4.0) * (20.0 / (pow(b, 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / 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 * a) * c) * (c * c)) * ((b ** (-4.0d0)) * (-2.0d0))) - c) / b) + ((((((c * a) ** 4.0d0) * (20.0d0 / ((b ** 6.0d0) * a))) * (-0.25d0)) - ((c * c) * (a / (b * b)))) / b)
end function
public static double code(double a, double b, double c) {
return ((((((a * a) * c) * (c * c)) * (Math.pow(b, -4.0) * -2.0)) - c) / b) + ((((Math.pow((c * a), 4.0) * (20.0 / (Math.pow(b, 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / b);
}
def code(a, b, c): return ((((((a * a) * c) * (c * c)) * (math.pow(b, -4.0) * -2.0)) - c) / b) + ((((math.pow((c * a), 4.0) * (20.0 / (math.pow(b, 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / b)
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) * c) * Float64(c * c)) * Float64((b ^ -4.0) * -2.0)) - c) / b) + Float64(Float64(Float64(Float64((Float64(c * a) ^ 4.0) * Float64(20.0 / Float64((b ^ 6.0) * a))) * -0.25) - Float64(Float64(c * c) * Float64(a / Float64(b * b)))) / b)) end
function tmp = code(a, b, c) tmp = ((((((a * a) * c) * (c * c)) * ((b ^ -4.0) * -2.0)) - c) / b) + ((((((c * a) ^ 4.0) * (20.0 / ((b ^ 6.0) * a))) * -0.25) - ((c * c) * (a / (b * b)))) / b); end
code[a_, b_, c_] := N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(N[Power[b, -4.0], $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision] + N[(N[(N[(N[(N[Power[N[(c * a), $MachinePrecision], 4.0], $MachinePrecision] * N[(20.0 / N[(N[Power[b, 6.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * -0.25), $MachinePrecision] - N[(N[(c * c), $MachinePrecision] * N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]), $MachinePrecision]
\frac{\left(\left(\left(a \cdot a\right) \cdot c\right) \cdot \left(c \cdot c\right)\right) \cdot \left({b}^{-4} \cdot -2\right) - c}{b} + \frac{\left({\left(c \cdot a\right)}^{4} \cdot \frac{20}{{b}^{6} \cdot a}\right) \cdot -0.25 - \left(c \cdot c\right) \cdot \frac{a}{b \cdot b}}{b}
Initial program 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(/
(-
(- c)
(-
(fma
0.25
(* (pow (* c a) 4.0) (/ 20.0 (* (pow b 6.0) a)))
(* (* c c) (/ a (* b b))))
(* (* (* (* a a) c) (* c c)) (* (pow b -4.0) -2.0))))
b))double code(double a, double b, double c) {
return (-c - (fma(0.25, (pow((c * a), 4.0) * (20.0 / (pow(b, 6.0) * a))), ((c * c) * (a / (b * b)))) - ((((a * a) * c) * (c * c)) * (pow(b, -4.0) * -2.0)))) / b;
}
function code(a, b, c) return Float64(Float64(Float64(-c) - Float64(fma(0.25, Float64((Float64(c * a) ^ 4.0) * Float64(20.0 / Float64((b ^ 6.0) * a))), Float64(Float64(c * c) * Float64(a / Float64(b * b)))) - Float64(Float64(Float64(Float64(a * a) * c) * Float64(c * c)) * Float64((b ^ -4.0) * -2.0)))) / b) end
code[a_, b_, c_] := N[(N[((-c) - N[(N[(0.25 * N[(N[Power[N[(c * a), $MachinePrecision], 4.0], $MachinePrecision] * N[(20.0 / N[(N[Power[b, 6.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(c * c), $MachinePrecision] * N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(N[Power[b, -4.0], $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\frac{\left(-c\right) - \left(\mathsf{fma}\left(0.25, {\left(c \cdot a\right)}^{4} \cdot \frac{20}{{b}^{6} \cdot a}, \left(c \cdot c\right) \cdot \frac{a}{b \cdot b}\right) - \left(\left(\left(a \cdot a\right) \cdot c\right) \cdot \left(c \cdot c\right)\right) \cdot \left({b}^{-4} \cdot -2\right)\right)}{b}
Initial program 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(/
(-
(- (* (* (* (* a a) c) (* c c)) (* (pow b -4.0) -2.0)) c)
(fma
0.25
(* (pow (* c a) 4.0) (/ 20.0 (* (pow b 6.0) a)))
(* (* c c) (/ a (* b b)))))
b))double code(double a, double b, double c) {
return ((((((a * a) * c) * (c * c)) * (pow(b, -4.0) * -2.0)) - c) - fma(0.25, (pow((c * a), 4.0) * (20.0 / (pow(b, 6.0) * a))), ((c * c) * (a / (b * b))))) / b;
}
function code(a, b, c) return Float64(Float64(Float64(Float64(Float64(Float64(Float64(a * a) * c) * Float64(c * c)) * Float64((b ^ -4.0) * -2.0)) - c) - fma(0.25, Float64((Float64(c * a) ^ 4.0) * Float64(20.0 / Float64((b ^ 6.0) * a))), Float64(Float64(c * c) * Float64(a / Float64(b * b))))) / b) end
code[a_, b_, c_] := N[(N[(N[(N[(N[(N[(N[(a * a), $MachinePrecision] * c), $MachinePrecision] * N[(c * c), $MachinePrecision]), $MachinePrecision] * N[(N[Power[b, -4.0], $MachinePrecision] * -2.0), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] - N[(0.25 * N[(N[Power[N[(c * a), $MachinePrecision], 4.0], $MachinePrecision] * N[(20.0 / N[(N[Power[b, 6.0], $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(c * c), $MachinePrecision] * N[(a / N[(b * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / b), $MachinePrecision]
\frac{\left(\left(\left(\left(a \cdot a\right) \cdot c\right) \cdot \left(c \cdot c\right)\right) \cdot \left({b}^{-4} \cdot -2\right) - c\right) - \mathsf{fma}\left(0.25, {\left(c \cdot a\right)}^{4} \cdot \frac{20}{{b}^{6} \cdot a}, \left(c \cdot c\right) \cdot \frac{a}{b \cdot b}\right)}{b}
Initial program 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Applied rewrites90.9%
(FPCore (a b c)
:precision binary64
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(fma
(pow (fma (* a c) -4.0 (* b b)) 1.5)
(/ 1.0 a)
(/ (* (* (- b) b) b) a))
(/
(/
1.0
(fma b (+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b)) (* (* -4.0 c) a)))
2.0))
(fma
-1.0
(/ c b)
(*
a
(fma
-2.0
(/ (* a (pow c 3.0)) (pow b 5.0))
(* -1.0 (/ (pow c 2.0) (pow b 3.0))))))))double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = fma(pow(fma((a * c), -4.0, (b * b)), 1.5), (1.0 / a), (((-b * b) * b) / a)) * ((1.0 / fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a))) / 2.0);
} else {
tmp = fma(-1.0, (c / b), (a * fma(-2.0, ((a * pow(c, 3.0)) / pow(b, 5.0)), (-1.0 * (pow(c, 2.0) / pow(b, 3.0))))));
}
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)) <= -110.0) tmp = Float64(fma((fma(Float64(a * c), -4.0, Float64(b * b)) ^ 1.5), Float64(1.0 / a), Float64(Float64(Float64(Float64(-b) * b) * b) / a)) * Float64(Float64(1.0 / fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a))) / 2.0)); else tmp = fma(-1.0, Float64(c / b), Float64(a * fma(-2.0, Float64(Float64(a * (c ^ 3.0)) / (b ^ 5.0)), Float64(-1.0 * Float64((c ^ 2.0) / (b ^ 3.0)))))); 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], -110.0], N[(N[(N[Power[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision] * N[(1.0 / a), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision], N[(-1.0 * N[(c / b), $MachinePrecision] + N[(a * N[(-2.0 * N[(N[(a * N[Power[c, 3.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(N[Power[c, 2.0], $MachinePrecision] / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -110:\\
\;\;\;\;\mathsf{fma}\left({\left(\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)\right)}^{1.5}, \frac{1}{a}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{a}\right) \cdot \frac{\frac{1}{\mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)}}{2}\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{c}{b}, a \cdot \mathsf{fma}\left(-2, \frac{a \cdot {c}^{3}}{{b}^{5}}, -1 \cdot \frac{{c}^{2}}{{b}^{3}}\right)\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
lift-/.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
lift-*.f64N/A
distribute-lft-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-addN/A
mult-flipN/A
Applied rewrites57.1%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
Applied rewrites57.2%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in a around 0
lower-fma.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-pow.f64N/A
lower-*.f64N/A
lower-/.f64N/A
Applied rewrites87.8%
(FPCore (a b c)
:precision binary64
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(fma
(pow (fma (* a c) -4.0 (* b b)) 1.5)
(/ 1.0 a)
(/ (* (* (- b) b) b) a))
(/
(/
1.0
(fma b (+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b)) (* (* -4.0 c) a)))
2.0))
(*
c
(-
(*
c
(fma -2.0 (/ (* (pow a 2.0) c) (pow b 5.0)) (* -1.0 (/ a (pow b 3.0)))))
(/ 1.0 b)))))double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = fma(pow(fma((a * c), -4.0, (b * b)), 1.5), (1.0 / a), (((-b * b) * b) / a)) * ((1.0 / fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a))) / 2.0);
} else {
tmp = c * ((c * fma(-2.0, ((pow(a, 2.0) * c) / pow(b, 5.0)), (-1.0 * (a / pow(b, 3.0))))) - (1.0 / 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)) <= -110.0) tmp = Float64(fma((fma(Float64(a * c), -4.0, Float64(b * b)) ^ 1.5), Float64(1.0 / a), Float64(Float64(Float64(Float64(-b) * b) * b) / a)) * Float64(Float64(1.0 / fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a))) / 2.0)); else tmp = Float64(c * Float64(Float64(c * fma(-2.0, Float64(Float64((a ^ 2.0) * c) / (b ^ 5.0)), Float64(-1.0 * Float64(a / (b ^ 3.0))))) - Float64(1.0 / 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], -110.0], N[(N[(N[Power[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision] * N[(1.0 / a), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision], N[(c * N[(N[(c * N[(-2.0 * N[(N[(N[Power[a, 2.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -110:\\
\;\;\;\;\mathsf{fma}\left({\left(\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)\right)}^{1.5}, \frac{1}{a}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{a}\right) \cdot \frac{\frac{1}{\mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)}}{2}\\
\mathbf{else}:\\
\;\;\;\;c \cdot \left(c \cdot \mathsf{fma}\left(-2, \frac{{a}^{2} \cdot c}{{b}^{5}}, -1 \cdot \frac{a}{{b}^{3}}\right) - \frac{1}{b}\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
lift-/.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
lift-*.f64N/A
distribute-lft-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-addN/A
mult-flipN/A
Applied rewrites57.1%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
lift-*.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
Applied rewrites57.2%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
Applied rewrites87.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* a c) -4.0 (* b b))) (t_1 (sqrt t_0)))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(fma (* t_1 t_0) (/ 1.0 a) (/ (* (* (- b) b) b) a))
(/ 0.5 (fma (+ (+ t_1 b) b) b (* (* -4.0 c) a))))
(*
c
(-
(*
c
(fma
-2.0
(/ (* (pow a 2.0) c) (pow b 5.0))
(* -1.0 (/ a (pow b 3.0)))))
(/ 1.0 b))))))double code(double a, double b, double c) {
double t_0 = fma((a * c), -4.0, (b * b));
double t_1 = sqrt(t_0);
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = fma((t_1 * t_0), (1.0 / a), (((-b * b) * b) / a)) * (0.5 / fma(((t_1 + b) + b), b, ((-4.0 * c) * a)));
} else {
tmp = c * ((c * fma(-2.0, ((pow(a, 2.0) * c) / pow(b, 5.0)), (-1.0 * (a / pow(b, 3.0))))) - (1.0 / b));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(a * c), -4.0, 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)) <= -110.0) tmp = Float64(fma(Float64(t_1 * t_0), Float64(1.0 / a), Float64(Float64(Float64(Float64(-b) * b) * b) / a)) * Float64(0.5 / fma(Float64(Float64(t_1 + b) + b), b, Float64(Float64(-4.0 * c) * a)))); else tmp = Float64(c * Float64(Float64(c * fma(-2.0, Float64(Float64((a ^ 2.0) * c) / (b ^ 5.0)), Float64(-1.0 * Float64(a / (b ^ 3.0))))) - Float64(1.0 / b))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(a * c), $MachinePrecision] * -4.0 + 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], -110.0], N[(N[(N[(t$95$1 * t$95$0), $MachinePrecision] * N[(1.0 / a), $MachinePrecision] + N[(N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision] / a), $MachinePrecision]), $MachinePrecision] * N[(0.5 / N[(N[(N[(t$95$1 + b), $MachinePrecision] + b), $MachinePrecision] * b + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(c * N[(N[(c * N[(-2.0 * N[(N[(N[Power[a, 2.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(a \cdot c, -4, 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 -110:\\
\;\;\;\;\mathsf{fma}\left(t\_1 \cdot t\_0, \frac{1}{a}, \frac{\left(\left(-b\right) \cdot b\right) \cdot b}{a}\right) \cdot \frac{0.5}{\mathsf{fma}\left(\left(t\_1 + b\right) + b, b, \left(-4 \cdot c\right) \cdot a\right)}\\
\mathbf{else}:\\
\;\;\;\;c \cdot \left(c \cdot \mathsf{fma}\left(-2, \frac{{a}^{2} \cdot c}{{b}^{5}}, -1 \cdot \frac{a}{{b}^{3}}\right) - \frac{1}{b}\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
lift-/.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
lift-*.f64N/A
distribute-lft-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
div-addN/A
mult-flipN/A
Applied rewrites57.1%
lift-/.f64N/A
mult-flipN/A
Applied rewrites57.1%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
Applied rewrites87.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* a c) -4.0 (* b b))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(/ (fma t_0 (sqrt t_0) (* (* (- b) b) b)) a)
(/
(/
1.0
(fma b (+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b)) (* (* -4.0 c) a)))
2.0))
(*
c
(-
(*
c
(fma
-2.0
(/ (* (pow a 2.0) c) (pow b 5.0))
(* -1.0 (/ a (pow b 3.0)))))
(/ 1.0 b))))))double code(double a, double b, double c) {
double t_0 = fma((a * c), -4.0, (b * b));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = (fma(t_0, sqrt(t_0), ((-b * b) * b)) / a) * ((1.0 / fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a))) / 2.0);
} else {
tmp = c * ((c * fma(-2.0, ((pow(a, 2.0) * c) / pow(b, 5.0)), (-1.0 * (a / pow(b, 3.0))))) - (1.0 / b));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(a * c), -4.0, 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)) <= -110.0) tmp = Float64(Float64(fma(t_0, sqrt(t_0), Float64(Float64(Float64(-b) * b) * b)) / a) * Float64(Float64(1.0 / fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a))) / 2.0)); else tmp = Float64(c * Float64(Float64(c * fma(-2.0, Float64(Float64((a ^ 2.0) * c) / (b ^ 5.0)), Float64(-1.0 * Float64(a / (b ^ 3.0))))) - Float64(1.0 / b))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $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], -110.0], N[(N[(N[(t$95$0 * N[Sqrt[t$95$0], $MachinePrecision] + N[(N[((-b) * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision] * N[(N[(1.0 / N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision], N[(c * N[(N[(c * N[(-2.0 * N[(N[(N[Power[a, 2.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(a \cdot c, -4, 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 -110:\\
\;\;\;\;\frac{\mathsf{fma}\left(t\_0, \sqrt{t\_0}, \left(\left(-b\right) \cdot b\right) \cdot b\right)}{a} \cdot \frac{\frac{1}{\mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)}}{2}\\
\mathbf{else}:\\
\;\;\;\;c \cdot \left(c \cdot \mathsf{fma}\left(-2, \frac{{a}^{2} \cdot c}{{b}^{5}}, -1 \cdot \frac{a}{{b}^{3}}\right) - \frac{1}{b}\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
distribute-lft-neg-outN/A
lift-neg.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lower-fma.f6457.6%
Applied rewrites57.5%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
Applied rewrites87.6%
(FPCore (a b c)
:precision binary64
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(/ (- (pow (fma (* a c) -4.0 (* b b)) 1.5) (* (* b b) b)) a)
(/
(/
1.0
(fma b (+ b (+ (sqrt (fma (* -4.0 c) a (* b b))) b)) (* (* -4.0 c) a)))
2.0))
(*
c
(-
(*
c
(fma -2.0 (/ (* (pow a 2.0) c) (pow b 5.0)) (* -1.0 (/ a (pow b 3.0)))))
(/ 1.0 b)))))double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = ((pow(fma((a * c), -4.0, (b * b)), 1.5) - ((b * b) * b)) / a) * ((1.0 / fma(b, (b + (sqrt(fma((-4.0 * c), a, (b * b))) + b)), ((-4.0 * c) * a))) / 2.0);
} else {
tmp = c * ((c * fma(-2.0, ((pow(a, 2.0) * c) / pow(b, 5.0)), (-1.0 * (a / pow(b, 3.0))))) - (1.0 / 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)) <= -110.0) tmp = Float64(Float64(Float64((fma(Float64(a * c), -4.0, Float64(b * b)) ^ 1.5) - Float64(Float64(b * b) * b)) / a) * Float64(Float64(1.0 / fma(b, Float64(b + Float64(sqrt(fma(Float64(-4.0 * c), a, Float64(b * b))) + b)), Float64(Float64(-4.0 * c) * a))) / 2.0)); else tmp = Float64(c * Float64(Float64(c * fma(-2.0, Float64(Float64((a ^ 2.0) * c) / (b ^ 5.0)), Float64(-1.0 * Float64(a / (b ^ 3.0))))) - Float64(1.0 / 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], -110.0], N[(N[(N[(N[Power[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision], 1.5], $MachinePrecision] - N[(N[(b * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] / a), $MachinePrecision] * N[(N[(1.0 / N[(b * N[(b + N[(N[Sqrt[N[(N[(-4.0 * c), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]), $MachinePrecision], N[(c * N[(N[(c * N[(-2.0 * N[(N[(N[Power[a, 2.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -110:\\
\;\;\;\;\frac{{\left(\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)\right)}^{1.5} - \left(b \cdot b\right) \cdot b}{a} \cdot \frac{\frac{1}{\mathsf{fma}\left(b, b + \left(\sqrt{\mathsf{fma}\left(-4 \cdot c, a, b \cdot b\right)} + b\right), \left(-4 \cdot c\right) \cdot a\right)}}{2}\\
\mathbf{else}:\\
\;\;\;\;c \cdot \left(c \cdot \mathsf{fma}\left(-2, \frac{{a}^{2} \cdot c}{{b}^{5}}, -1 \cdot \frac{a}{{b}^{3}}\right) - \frac{1}{b}\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
lift-*.f64N/A
lift-sqrt.f64N/A
pow1/2N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-*.f64N/A
pow-plusN/A
metadata-evalN/A
metadata-evalN/A
lower-pow.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
metadata-eval56.9%
Applied rewrites56.9%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
Applied rewrites87.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* -4.0 c) a (* b b))) (t_1 (sqrt t_0)))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -110.0)
(*
(- (* t_1 t_0) (* (* b b) b))
(/ 0.5 (* (fma b (+ b (+ t_1 b)) (* (* -4.0 c) a)) a)))
(*
c
(-
(*
c
(fma
-2.0
(/ (* (pow a 2.0) c) (pow b 5.0))
(* -1.0 (/ a (pow b 3.0)))))
(/ 1.0 b))))))double code(double a, double b, double c) {
double t_0 = fma((-4.0 * c), a, (b * b));
double t_1 = sqrt(t_0);
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -110.0) {
tmp = ((t_1 * t_0) - ((b * b) * b)) * (0.5 / (fma(b, (b + (t_1 + b)), ((-4.0 * c) * a)) * a));
} else {
tmp = c * ((c * fma(-2.0, ((pow(a, 2.0) * c) / pow(b, 5.0)), (-1.0 * (a / pow(b, 3.0))))) - (1.0 / b));
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(-4.0 * c), a, 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)) <= -110.0) tmp = Float64(Float64(Float64(t_1 * t_0) - Float64(Float64(b * b) * b)) * Float64(0.5 / Float64(fma(b, Float64(b + Float64(t_1 + b)), Float64(Float64(-4.0 * c) * a)) * a))); else tmp = Float64(c * Float64(Float64(c * fma(-2.0, Float64(Float64((a ^ 2.0) * c) / (b ^ 5.0)), Float64(-1.0 * Float64(a / (b ^ 3.0))))) - Float64(1.0 / b))); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(-4.0 * c), $MachinePrecision] * a + 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], -110.0], N[(N[(N[(t$95$1 * t$95$0), $MachinePrecision] - N[(N[(b * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision] * N[(0.5 / N[(N[(b * N[(b + N[(t$95$1 + b), $MachinePrecision]), $MachinePrecision] + N[(N[(-4.0 * c), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(c * N[(N[(c * N[(-2.0 * N[(N[(N[Power[a, 2.0], $MachinePrecision] * c), $MachinePrecision] / N[Power[b, 5.0], $MachinePrecision]), $MachinePrecision] + N[(-1.0 * N[(a / N[Power[b, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.0 / b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(-4 \cdot c, a, 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 -110:\\
\;\;\;\;\left(t\_1 \cdot t\_0 - \left(b \cdot b\right) \cdot b\right) \cdot \frac{0.5}{\mathsf{fma}\left(b, b + \left(t\_1 + b\right), \left(-4 \cdot c\right) \cdot a\right) \cdot a}\\
\mathbf{else}:\\
\;\;\;\;c \cdot \left(c \cdot \mathsf{fma}\left(-2, \frac{{a}^{2} \cdot c}{{b}^{5}}, -1 \cdot \frac{a}{{b}^{3}}\right) - \frac{1}{b}\right)\\
\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)) < -110Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
if -110 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
Applied rewrites87.6%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c -4.0) a (* b b))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.0415)
(/ (/ (- t_0 (* b b)) (+ (sqrt t_0) b)) (* 2.0 a))
(/ (- (* -1.0 (/ (* a (pow c 2.0)) (pow b 2.0))) c) b))))double code(double a, double b, double c) {
double t_0 = fma((c * -4.0), a, (b * b));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.0415) {
tmp = ((t_0 - (b * b)) / (sqrt(t_0) + b)) / (2.0 * a);
} else {
tmp = ((-1.0 * ((a * pow(c, 2.0)) / pow(b, 2.0))) - c) / b;
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * -4.0), a, 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)) <= -0.0415) tmp = Float64(Float64(Float64(t_0 - Float64(b * b)) / Float64(sqrt(t_0) + b)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(-1.0 * Float64(Float64(a * (c ^ 2.0)) / (b ^ 2.0))) - c) / b); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * -4.0), $MachinePrecision] * a + N[(b * b), $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], -0.0415], N[(N[(N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[(N[(-1.0 * N[(N[(a * N[Power[c, 2.0], $MachinePrecision]), $MachinePrecision] / N[Power[b, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - c), $MachinePrecision] / b), $MachinePrecision]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot -4, a, 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 -0.0415:\\
\;\;\;\;\frac{\frac{t\_0 - b \cdot b}{\sqrt{t\_0} + b}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-1 \cdot \frac{a \cdot {c}^{2}}{{b}^{2}} - c}{b}\\
\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)) < -0.0415000000000000022Initial program 55.7%
lift-+.f64N/A
+-commutativeN/A
add-flipN/A
flip--N/A
lower-unsound-/.f64N/A
Applied rewrites57.2%
if -0.0415000000000000022 < (/.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 55.7%
lift-/.f64N/A
lift-+.f64N/A
div-addN/A
add-flipN/A
lower--.f64N/A
frac-2negN/A
lower-/.f64N/A
lift-neg.f64N/A
remove-double-negN/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
metadata-evalN/A
mult-flipN/A
distribute-rgt-neg-inN/A
distribute-frac-neg2N/A
Applied rewrites54.8%
Taylor expanded in b around inf
lower-/.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-pow.f6481.4%
Applied rewrites81.4%
(FPCore (a b c)
:precision binary64
(let* ((t_0 (fma (* c -4.0) a (* b b))))
(if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.0415)
(/ (/ (- t_0 (* b b)) (+ (sqrt t_0) b)) (* 2.0 a))
(* (- (- (* a (/ c (* (* b b) b)))) (/ 1.0 b)) c))))double code(double a, double b, double c) {
double t_0 = fma((c * -4.0), a, (b * b));
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.0415) {
tmp = ((t_0 - (b * b)) / (sqrt(t_0) + b)) / (2.0 * a);
} else {
tmp = (-(a * (c / ((b * b) * b))) - (1.0 / b)) * c;
}
return tmp;
}
function code(a, b, c) t_0 = fma(Float64(c * -4.0), a, 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)) <= -0.0415) tmp = Float64(Float64(Float64(t_0 - Float64(b * b)) / Float64(sqrt(t_0) + b)) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(-Float64(a * Float64(c / Float64(Float64(b * b) * b)))) - Float64(1.0 / b)) * c); end return tmp end
code[a_, b_, c_] := Block[{t$95$0 = N[(N[(c * -4.0), $MachinePrecision] * a + N[(b * b), $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], -0.0415], N[(N[(N[(t$95$0 - N[(b * b), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[t$95$0], $MachinePrecision] + b), $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[((-N[(a * N[(c / N[(N[(b * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - N[(1.0 / b), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision]]]
\begin{array}{l}
t_0 := \mathsf{fma}\left(c \cdot -4, a, 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 -0.0415:\\
\;\;\;\;\frac{\frac{t\_0 - b \cdot b}{\sqrt{t\_0} + b}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(-a \cdot \frac{c}{\left(b \cdot b\right) \cdot b}\right) - \frac{1}{b}\right) \cdot c\\
\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)) < -0.0415000000000000022Initial program 55.7%
lift-+.f64N/A
+-commutativeN/A
add-flipN/A
flip--N/A
lower-unsound-/.f64N/A
Applied rewrites57.2%
if -0.0415000000000000022 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-/.f6481.3%
Applied rewrites81.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6481.3%
lift-*.f64N/A
mul-1-negN/A
lower-neg.f6481.3%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f6481.3%
lift-pow.f64N/A
unpow3N/A
lift-*.f64N/A
lower-*.f6481.3%
Applied rewrites81.3%
(FPCore (a b c) :precision binary64 (if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.0415) (/ (+ (- b) (sqrt (fma b b (* (* -4.0 a) c)))) (* 2.0 a)) (* (- (- (* a (/ c (* (* b b) b)))) (/ 1.0 b)) c)))
double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.0415) {
tmp = (-b + sqrt(fma(b, b, ((-4.0 * a) * c)))) / (2.0 * a);
} else {
tmp = (-(a * (c / ((b * b) * b))) - (1.0 / b)) * c;
}
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)) <= -0.0415) tmp = Float64(Float64(Float64(-b) + sqrt(fma(b, b, Float64(Float64(-4.0 * a) * c)))) / Float64(2.0 * a)); else tmp = Float64(Float64(Float64(-Float64(a * Float64(c / Float64(Float64(b * b) * b)))) - Float64(1.0 / b)) * c); 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], -0.0415], N[(N[((-b) + N[Sqrt[N[(b * b + N[(N[(-4.0 * a), $MachinePrecision] * c), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(2.0 * a), $MachinePrecision]), $MachinePrecision], N[(N[((-N[(a * N[(c / N[(N[(b * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - N[(1.0 / b), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.0415:\\
\;\;\;\;\frac{\left(-b\right) + \sqrt{\mathsf{fma}\left(b, b, \left(-4 \cdot a\right) \cdot c\right)}}{2 \cdot a}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(-a \cdot \frac{c}{\left(b \cdot b\right) \cdot b}\right) - \frac{1}{b}\right) \cdot c\\
\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)) < -0.0415000000000000022Initial program 55.7%
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
lift-*.f64N/A
sqr-neg-revN/A
lift-neg.f64N/A
lift-neg.f64N/A
sqr-neg-revN/A
lower-fma.f64N/A
lift-neg.f64N/A
remove-double-negN/A
lift-neg.f64N/A
remove-double-negN/A
lower-*.f64N/A
lift-*.f64N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
metadata-eval55.8%
Applied rewrites55.8%
if -0.0415000000000000022 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-/.f6481.3%
Applied rewrites81.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6481.3%
lift-*.f64N/A
mul-1-negN/A
lower-neg.f6481.3%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f6481.3%
lift-pow.f64N/A
unpow3N/A
lift-*.f64N/A
lower-*.f6481.3%
Applied rewrites81.3%
(FPCore (a b c) :precision binary64 (if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -0.0415) (/ (- (sqrt (fma (* c -4.0) a (* b b))) b) (+ a a)) (* (- (- (* a (/ c (* (* b b) b)))) (/ 1.0 b)) c)))
double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -0.0415) {
tmp = (sqrt(fma((c * -4.0), a, (b * b))) - b) / (a + a);
} else {
tmp = (-(a * (c / ((b * b) * b))) - (1.0 / b)) * c;
}
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)) <= -0.0415) tmp = Float64(Float64(sqrt(fma(Float64(c * -4.0), a, Float64(b * b))) - b) / Float64(a + a)); else tmp = Float64(Float64(Float64(-Float64(a * Float64(c / Float64(Float64(b * b) * b)))) - Float64(1.0 / b)) * c); 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], -0.0415], N[(N[(N[Sqrt[N[(N[(c * -4.0), $MachinePrecision] * a + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a + a), $MachinePrecision]), $MachinePrecision], N[(N[((-N[(a * N[(c / N[(N[(b * b), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - N[(1.0 / b), $MachinePrecision]), $MachinePrecision] * c), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -0.0415:\\
\;\;\;\;\frac{\sqrt{\mathsf{fma}\left(c \cdot -4, a, b \cdot b\right)} - b}{a + a}\\
\mathbf{else}:\\
\;\;\;\;\left(\left(-a \cdot \frac{c}{\left(b \cdot b\right) \cdot b}\right) - \frac{1}{b}\right) \cdot c\\
\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)) < -0.0415000000000000022Initial program 55.7%
Applied rewrites55.7%
if -0.0415000000000000022 < (/.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 55.7%
Taylor expanded in b around inf
lower-/.f64N/A
Applied rewrites90.9%
Taylor expanded in c around 0
lower-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
lower-/.f64N/A
lower-*.f64N/A
lower-pow.f64N/A
lower-/.f6481.3%
Applied rewrites81.3%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6481.3%
lift-*.f64N/A
mul-1-negN/A
lower-neg.f6481.3%
lift-/.f64N/A
lift-*.f64N/A
associate-/l*N/A
lower-*.f64N/A
lower-/.f6481.3%
lift-pow.f64N/A
unpow3N/A
lift-*.f64N/A
lower-*.f6481.3%
Applied rewrites81.3%
(FPCore (a b c) :precision binary64 (if (<= (/ (+ (- b) (sqrt (- (* b b) (* (* 4.0 a) c)))) (* 2.0 a)) -6e-5) (/ (- (sqrt (fma (* a c) -4.0 (* b b))) b) (+ a a)) (/ (- c) b)))
double code(double a, double b, double c) {
double tmp;
if (((-b + sqrt(((b * b) - ((4.0 * a) * c)))) / (2.0 * a)) <= -6e-5) {
tmp = (sqrt(fma((a * c), -4.0, (b * b))) - b) / (a + a);
} else {
tmp = -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)) <= -6e-5) tmp = Float64(Float64(sqrt(fma(Float64(a * c), -4.0, Float64(b * b))) - b) / Float64(a + a)); else tmp = Float64(Float64(-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], -6e-5], N[(N[(N[Sqrt[N[(N[(a * c), $MachinePrecision] * -4.0 + N[(b * b), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] - b), $MachinePrecision] / N[(a + a), $MachinePrecision]), $MachinePrecision], N[((-c) / b), $MachinePrecision]]
\begin{array}{l}
\mathbf{if}\;\frac{\left(-b\right) + \sqrt{b \cdot b - \left(4 \cdot a\right) \cdot c}}{2 \cdot a} \leq -6 \cdot 10^{-5}:\\
\;\;\;\;\frac{\sqrt{\mathsf{fma}\left(a \cdot c, -4, b \cdot b\right)} - b}{a + a}\\
\mathbf{else}:\\
\;\;\;\;\frac{-c}{b}\\
\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)) < -6.00000000000000015e-5Initial program 55.7%
lift-*.f64N/A
pow2N/A
remove-double-negN/A
lift-neg.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-negN/A
lower-unsound-/.f64N/A
lower-unsound-pow.f64N/A
lift-neg.f64N/A
remove-double-negN/A
metadata-eval55.6%
Applied rewrites55.6%
Applied rewrites56.6%
Applied rewrites55.7%
if -6.00000000000000015e-5 < (/.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 55.7%
Taylor expanded in b around inf
lower-*.f64N/A
lower-/.f6464.2%
Applied rewrites64.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6464.2%
Applied rewrites64.2%
(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]
\frac{-c}{b}
Initial program 55.7%
Taylor expanded in b around inf
lower-*.f64N/A
lower-/.f6464.2%
Applied rewrites64.2%
lift-*.f64N/A
lift-/.f64N/A
associate-*r/N/A
lower-/.f64N/A
mul-1-negN/A
lower-neg.f6464.2%
Applied rewrites64.2%
herbie shell --seed 2025187
(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)))