
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x))))))
(-
1.0
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+ 1.421413741 (* t_0 (+ -1.453152027 (* t_0 1.061405429)))))))))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(fabs(x) * fabs(x))));
}
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(x)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 1.0d0 / (1.0d0 + (0.3275911d0 * abs(x)))
code = 1.0d0 - ((t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (t_0 * 1.061405429d0))))))))) * exp(-(abs(x) * abs(x))))
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * Math.abs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * Math.exp(-(Math.abs(x) * Math.abs(x))));
}
def code(x): t_0 = 1.0 / (1.0 + (0.3275911 * math.fabs(x))) return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * math.exp(-(math.fabs(x) * math.fabs(x))))
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(t_0 * Float64(1.421413741 + Float64(t_0 * Float64(-1.453152027 + Float64(t_0 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
function tmp = code(x) t_0 = 1.0 / (1.0 + (0.3275911 * abs(x))); tmp = 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(abs(x) * abs(x)))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(t$95$0 * N[(1.421413741 + N[(t$95$0 * N[(-1.453152027 + N[(t$95$0 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + t\_0 \cdot \left(1.421413741 + t\_0 \cdot \left(-1.453152027 + t\_0 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 23 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x))))))
(-
1.0
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(*
t_0
(+ 1.421413741 (* t_0 (+ -1.453152027 (* t_0 1.061405429)))))))))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(fabs(x) * fabs(x))));
}
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(x)
use fmin_fmax_functions
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 1.0d0 / (1.0d0 + (0.3275911d0 * abs(x)))
code = 1.0d0 - ((t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (t_0 * 1.061405429d0))))))))) * exp(-(abs(x) * abs(x))))
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * Math.abs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * Math.exp(-(Math.abs(x) * Math.abs(x))));
}
def code(x): t_0 = 1.0 / (1.0 + (0.3275911 * math.fabs(x))) return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * math.exp(-(math.fabs(x) * math.fabs(x))))
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(t_0 * Float64(1.421413741 + Float64(t_0 * Float64(-1.453152027 + Float64(t_0 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
function tmp = code(x) t_0 = 1.0 / (1.0 + (0.3275911 * abs(x))); tmp = 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(abs(x) * abs(x)))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(t$95$0 * N[(1.421413741 + N[(t$95$0 * N[(-1.453152027 + N[(t$95$0 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + t\_0 \cdot \left(1.421413741 + t\_0 \cdot \left(-1.453152027 + t\_0 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (exp (* (- x) x)))
(t_3 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) t_2))
(t_4 (- (+ 1.0 (pow t_3 6.0)) (pow t_3 3.0)))
(t_5
(-
(+ 1.0 (pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0))
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_2))))
(+ (/ (pow t_4 -1.0) t_5) (/ (/ (pow t_3 9.0) t_4) t_5))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = exp((-x * x));
double t_3 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * t_2;
double t_4 = (1.0 + pow(t_3, 6.0)) - pow(t_3, 3.0);
double t_5 = (1.0 + pow((t_1 / (t_0 * pow(exp(x), x))), 2.0)) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_2);
return (pow(t_4, -1.0) / t_5) + ((pow(t_3, 9.0) / t_4) / t_5);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = exp(Float64(Float64(-x) * x)) t_3 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * t_2) t_4 = Float64(Float64(1.0 + (t_3 ^ 6.0)) - (t_3 ^ 3.0)) t_5 = Float64(Float64(1.0 + (Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0)) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_2)) return Float64(Float64((t_4 ^ -1.0) / t_5) + Float64(Float64((t_3 ^ 9.0) / t_4) / t_5)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Power[t$95$3, 6.0], $MachinePrecision]), $MachinePrecision] - N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(1.0 + N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$4, -1.0], $MachinePrecision] / t$95$5), $MachinePrecision] + N[(N[(N[Power[t$95$3, 9.0], $MachinePrecision] / t$95$4), $MachinePrecision] / t$95$5), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := e^{\left(-x\right) \cdot x}\\
t_3 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_2\\
t_4 := \left(1 + {t\_3}^{6}\right) - {t\_3}^{3}\\
t_5 := \left(1 + {\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2}\right) - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\\
\frac{{t\_4}^{-1}}{t\_5} + \frac{\frac{{t\_3}^{9}}{t\_4}}{t\_5}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites80.2%
Applied rewrites83.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* (fabs x) -0.3275911))
(t_3 (exp (* (- x) x)))
(t_4 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) t_3))
(t_5 (- (+ 1.0 (pow t_4 6.0)) (pow t_4 3.0))))
(/
(+
(pow t_5 -1.0)
(/ (pow (* (/ t_1 (/ (- (* t_2 t_2) 1.0) (- t_2 -1.0))) t_3) 9.0) t_5))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_3))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = fabs(x) * -0.3275911;
double t_3 = exp((-x * x));
double t_4 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * t_3;
double t_5 = (1.0 + pow(t_4, 6.0)) - pow(t_4, 3.0);
return (pow(t_5, -1.0) + (pow(((t_1 / (((t_2 * t_2) - 1.0) / (t_2 - -1.0))) * t_3), 9.0) / t_5)) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_3)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = Float64(abs(x) * -0.3275911) t_3 = exp(Float64(Float64(-x) * x)) t_4 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * t_3) t_5 = Float64(Float64(1.0 + (t_4 ^ 6.0)) - (t_4 ^ 3.0)) return Float64(Float64((t_5 ^ -1.0) + Float64((Float64(Float64(t_1 / Float64(Float64(Float64(t_2 * t_2) - 1.0) / Float64(t_2 - -1.0))) * t_3) ^ 9.0) / t_5)) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_3)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * -0.3275911), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(N[(1.0 + N[Power[t$95$4, 6.0], $MachinePrecision]), $MachinePrecision] - N[Power[t$95$4, 3.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$5, -1.0], $MachinePrecision] + N[(N[Power[N[(N[(t$95$1 / N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$2 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision], 9.0], $MachinePrecision] / t$95$5), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \left|x\right| \cdot -0.3275911\\
t_3 := e^{\left(-x\right) \cdot x}\\
t_4 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_3\\
t_5 := \left(1 + {t\_4}^{6}\right) - {t\_4}^{3}\\
\frac{{t\_5}^{-1} + \frac{{\left(\frac{t\_1}{\frac{t\_2 \cdot t\_2 - 1}{t\_2 - -1}} \cdot t\_3\right)}^{9}}{t\_5}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_3\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites80.2%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f6480.3
Applied rewrites80.3%
Final simplification80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma (fabs x) -0.3275911 -1.0))
(t_2 (exp (* (- x) x)))
(t_3 (/ (- (/ 1.061405429 t_0) 1.453152027) t_0))
(t_4
(+ (/ (+ (/ (- t_3 -1.421413741) t_0) -0.284496736) t_0) 0.254829592))
(t_5 (* (/ t_4 t_1) t_2))
(t_6 (pow t_5 3.0)))
(/
(+
(pow (- (+ 1.0 (pow t_5 6.0)) t_6) -1.0)
(/
(pow t_5 9.0)
(-
(+
1.0
(pow
(*
(/
(+
(/ (+ (- (/ t_3 t_0) (/ -1.421413741 t_0)) -0.284496736) t_0)
0.254829592)
t_1)
t_2)
6.0))
t_6)))
(+
1.0
(-
(pow (/ t_4 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_4 (fma -0.3275911 (fabs x) -1.0)) t_2))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(fabs(x), -0.3275911, -1.0);
double t_2 = exp((-x * x));
double t_3 = ((1.061405429 / t_0) - 1.453152027) / t_0;
double t_4 = ((((t_3 - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_5 = (t_4 / t_1) * t_2;
double t_6 = pow(t_5, 3.0);
return (pow(((1.0 + pow(t_5, 6.0)) - t_6), -1.0) + (pow(t_5, 9.0) / ((1.0 + pow((((((((t_3 / t_0) - (-1.421413741 / t_0)) + -0.284496736) / t_0) + 0.254829592) / t_1) * t_2), 6.0)) - t_6))) / (1.0 + (pow((t_4 / (t_0 * pow(exp(x), x))), 2.0) - ((t_4 / fma(-0.3275911, fabs(x), -1.0)) * t_2)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(abs(x), -0.3275911, -1.0) t_2 = exp(Float64(Float64(-x) * x)) t_3 = Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) t_4 = Float64(Float64(Float64(Float64(Float64(t_3 - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_5 = Float64(Float64(t_4 / t_1) * t_2) t_6 = t_5 ^ 3.0 return Float64(Float64((Float64(Float64(1.0 + (t_5 ^ 6.0)) - t_6) ^ -1.0) + Float64((t_5 ^ 9.0) / Float64(Float64(1.0 + (Float64(Float64(Float64(Float64(Float64(Float64(Float64(t_3 / t_0) - Float64(-1.421413741 / t_0)) + -0.284496736) / t_0) + 0.254829592) / t_1) * t_2) ^ 6.0)) - t_6))) / Float64(1.0 + Float64((Float64(t_4 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_4 / fma(-0.3275911, abs(x), -1.0)) * t_2)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[(t$95$3 - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$4 / t$95$1), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[Power[t$95$5, 3.0], $MachinePrecision]}, N[(N[(N[Power[N[(N[(1.0 + N[Power[t$95$5, 6.0], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision], -1.0], $MachinePrecision] + N[(N[Power[t$95$5, 9.0], $MachinePrecision] / N[(N[(1.0 + N[Power[N[(N[(N[(N[(N[(N[(N[(t$95$3 / t$95$0), $MachinePrecision] - N[(-1.421413741 / t$95$0), $MachinePrecision]), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$1), $MachinePrecision] * t$95$2), $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$4 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$4 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)\\
t_2 := e^{\left(-x\right) \cdot x}\\
t_3 := \frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0}\\
t_4 := \frac{\frac{t\_3 - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_5 := \frac{t\_4}{t\_1} \cdot t\_2\\
t_6 := {t\_5}^{3}\\
\frac{{\left(\left(1 + {t\_5}^{6}\right) - t\_6\right)}^{-1} + \frac{{t\_5}^{9}}{\left(1 + {\left(\frac{\frac{\left(\frac{t\_3}{t\_0} - \frac{-1.421413741}{t\_0}\right) + -0.284496736}{t\_0} + 0.254829592}{t\_1} \cdot t\_2\right)}^{6}\right) - t\_6}}{1 + \left({\left(\frac{t\_4}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_4}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites80.2%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
lower--.f64N/A
lower-/.f64N/A
lower-/.f6480.3
Applied rewrites80.3%
Final simplification80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (exp (* (- x) x)))
(t_3 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) t_2))
(t_4 (- (+ 1.0 (pow t_3 6.0)) (pow t_3 3.0))))
(/
(+ (pow t_4 -1.0) (/ (pow t_3 9.0) t_4))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_2))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = exp((-x * x));
double t_3 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * t_2;
double t_4 = (1.0 + pow(t_3, 6.0)) - pow(t_3, 3.0);
return (pow(t_4, -1.0) + (pow(t_3, 9.0) / t_4)) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_2)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = exp(Float64(Float64(-x) * x)) t_3 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * t_2) t_4 = Float64(Float64(1.0 + (t_3 ^ 6.0)) - (t_3 ^ 3.0)) return Float64(Float64((t_4 ^ -1.0) + Float64((t_3 ^ 9.0) / t_4)) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_2)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[(1.0 + N[Power[t$95$3, 6.0], $MachinePrecision]), $MachinePrecision] - N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$4, -1.0], $MachinePrecision] + N[(N[Power[t$95$3, 9.0], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := e^{\left(-x\right) \cdot x}\\
t_3 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_2\\
t_4 := \left(1 + {t\_3}^{6}\right) - {t\_3}^{3}\\
\frac{{t\_4}^{-1} + \frac{{t\_3}^{9}}{t\_4}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites80.2%
Final simplification80.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (/ (- (/ 1.061405429 t_1) 1.453152027) t_1))
(t_3 (fma -0.3275911 (fabs x) -1.0))
(t_4 (/ (- t_2 -1.421413741) t_1))
(t_5 (+ (/ (+ t_4 -0.284496736) t_1) 0.254829592))
(t_6
(pow
(* (/ (+ 0.254829592 (/ (+ -0.284496736 t_4) t_1)) t_3) t_0)
3.0)))
(/
(/
(+
1.0
(pow
(pow
(*
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(/ (- (* t_2 t_2) 2.020417023103615) (+ t_2 -1.421413741))
t_1))
t_1))
t_3)
t_0)
3.0)
3.0))
(+ 1.0 (- (* t_6 t_6) t_6)))
(+
1.0
(- (pow (/ t_5 (* t_1 (pow (exp x) x))) 2.0) (* (/ t_5 t_3) t_0))))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = ((1.061405429 / t_1) - 1.453152027) / t_1;
double t_3 = fma(-0.3275911, fabs(x), -1.0);
double t_4 = (t_2 - -1.421413741) / t_1;
double t_5 = ((t_4 + -0.284496736) / t_1) + 0.254829592;
double t_6 = pow((((0.254829592 + ((-0.284496736 + t_4) / t_1)) / t_3) * t_0), 3.0);
return ((1.0 + pow(pow((((0.254829592 + ((-0.284496736 + ((((t_2 * t_2) - 2.020417023103615) / (t_2 + -1.421413741)) / t_1)) / t_1)) / t_3) * t_0), 3.0), 3.0)) / (1.0 + ((t_6 * t_6) - t_6))) / (1.0 + (pow((t_5 / (t_1 * pow(exp(x), x))), 2.0) - ((t_5 / t_3) * t_0)));
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) t_3 = fma(-0.3275911, abs(x), -1.0) t_4 = Float64(Float64(t_2 - -1.421413741) / t_1) t_5 = Float64(Float64(Float64(t_4 + -0.284496736) / t_1) + 0.254829592) t_6 = Float64(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + t_4) / t_1)) / t_3) * t_0) ^ 3.0 return Float64(Float64(Float64(1.0 + ((Float64(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(t_2 * t_2) - 2.020417023103615) / Float64(t_2 + -1.421413741)) / t_1)) / t_1)) / t_3) * t_0) ^ 3.0) ^ 3.0)) / Float64(1.0 + Float64(Float64(t_6 * t_6) - t_6))) / Float64(1.0 + Float64((Float64(t_5 / Float64(t_1 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_5 / t_3) * t_0)))) end
code[x_] := Block[{t$95$0 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$2 - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$4 + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$6 = N[Power[N[(N[(N[(0.254829592 + N[(N[(-0.284496736 + t$95$4), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision], 3.0], $MachinePrecision]}, N[(N[(N[(1.0 + N[Power[N[Power[N[(N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - 2.020417023103615), $MachinePrecision] / N[(t$95$2 + -1.421413741), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision], 3.0], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[(t$95$6 * t$95$6), $MachinePrecision] - t$95$6), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$5 / N[(t$95$1 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$5 / t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\left(-x\right) \cdot x}\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1}\\
t_3 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_4 := \frac{t\_2 - -1.421413741}{t\_1}\\
t_5 := \frac{t\_4 + -0.284496736}{t\_1} + 0.254829592\\
t_6 := {\left(\frac{0.254829592 + \frac{-0.284496736 + t\_4}{t\_1}}{t\_3} \cdot t\_0\right)}^{3}\\
\frac{\frac{1 + {\left({\left(\frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{t\_2 \cdot t\_2 - 2.020417023103615}{t\_2 + -1.421413741}}{t\_1}}{t\_1}}{t\_3} \cdot t\_0\right)}^{3}\right)}^{3}}{1 + \left(t\_6 \cdot t\_6 - t\_6\right)}}{1 + \left({\left(\frac{t\_5}{t\_1 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_5}{t\_3} \cdot t\_0\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
metadata-evalN/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-+.f6479.2
Applied rewrites79.2%
Final simplification79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (exp (* (- x) x)))
(t_3 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) t_2))
(t_4 (pow t_3 6.0)))
(/
(/ (/ (- 1.0 (* t_4 t_4)) (+ 1.0 t_4)) (- 1.0 (pow t_3 3.0)))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_2))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = exp((-x * x));
double t_3 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * t_2;
double t_4 = pow(t_3, 6.0);
return (((1.0 - (t_4 * t_4)) / (1.0 + t_4)) / (1.0 - pow(t_3, 3.0))) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_2)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = exp(Float64(Float64(-x) * x)) t_3 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * t_2) t_4 = t_3 ^ 6.0 return Float64(Float64(Float64(Float64(1.0 - Float64(t_4 * t_4)) / Float64(1.0 + t_4)) / Float64(1.0 - (t_3 ^ 3.0))) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_2)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Power[t$95$3, 6.0], $MachinePrecision]}, N[(N[(N[(N[(1.0 - N[(t$95$4 * t$95$4), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$4), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := e^{\left(-x\right) \cdot x}\\
t_3 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_2\\
t_4 := {t\_3}^{6}\\
\frac{\frac{\frac{1 - t\_4 \cdot t\_4}{1 + t\_4}}{1 - {t\_3}^{3}}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.1%
Applied rewrites79.2%
Final simplification79.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) (exp (* (- x) x)))))
(/
(+ (pow t_2 9.0) 1.0)
(*
(- (+ 1.0 (pow t_2 6.0)) (pow t_2 3.0))
(- (+ 1.0 (pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)) t_2)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * exp((-x * x));
return (pow(t_2, 9.0) + 1.0) / (((1.0 + pow(t_2, 6.0)) - pow(t_2, 3.0)) * ((1.0 + pow((t_1 / (t_0 * pow(exp(x), x))), 2.0)) - t_2));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * exp(Float64(Float64(-x) * x))) return Float64(Float64((t_2 ^ 9.0) + 1.0) / Float64(Float64(Float64(1.0 + (t_2 ^ 6.0)) - (t_2 ^ 3.0)) * Float64(Float64(1.0 + (Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0)) - t_2))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$2, 9.0], $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(N[(1.0 + N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot e^{\left(-x\right) \cdot x}\\
\frac{{t\_2}^{9} + 1}{\left(\left(1 + {t\_2}^{6}\right) - {t\_2}^{3}\right) \cdot \left(\left(1 + {\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2}\right) - t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_3 (* (fabs x) -0.3275911)))
(/
(/
(- 1.0 (pow (* (/ t_2 (/ (- (* t_3 t_3) 1.0) (- t_3 -1.0))) t_0) 6.0))
(- 1.0 (pow (* (/ t_2 (fma (fabs x) -0.3275911 -1.0)) t_0) 3.0)))
(+
1.0
(-
(pow (/ t_2 (* t_1 (pow (exp x) x))) 2.0)
(* (/ t_2 (fma -0.3275911 (fabs x) -1.0)) t_0))))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = (((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_3 = fabs(x) * -0.3275911;
return ((1.0 - pow(((t_2 / (((t_3 * t_3) - 1.0) / (t_3 - -1.0))) * t_0), 6.0)) / (1.0 - pow(((t_2 / fma(fabs(x), -0.3275911, -1.0)) * t_0), 3.0))) / (1.0 + (pow((t_2 / (t_1 * pow(exp(x), x))), 2.0) - ((t_2 / fma(-0.3275911, fabs(x), -1.0)) * t_0)));
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) t_3 = Float64(abs(x) * -0.3275911) return Float64(Float64(Float64(1.0 - (Float64(Float64(t_2 / Float64(Float64(Float64(t_3 * t_3) - 1.0) / Float64(t_3 - -1.0))) * t_0) ^ 6.0)) / Float64(1.0 - (Float64(Float64(t_2 / fma(abs(x), -0.3275911, -1.0)) * t_0) ^ 3.0))) / Float64(1.0 + Float64((Float64(t_2 / Float64(t_1 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_2 / fma(-0.3275911, abs(x), -1.0)) * t_0)))) end
code[x_] := Block[{t$95$0 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * -0.3275911), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[N[(N[(t$95$2 / N[(N[(N[(t$95$3 * t$95$3), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$3 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[N[(N[(t$95$2 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$2 / N[(t$95$1 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$2 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\left(-x\right) \cdot x}\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_3 := \left|x\right| \cdot -0.3275911\\
\frac{\frac{1 - {\left(\frac{t\_2}{\frac{t\_3 \cdot t\_3 - 1}{t\_3 - -1}} \cdot t\_0\right)}^{6}}{1 - {\left(\frac{t\_2}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_0\right)}^{3}}}{1 + \left({\left(\frac{t\_2}{t\_1 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_2}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_0\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.1%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower-*.f64N/A
lower--.f64N/A
lower-*.f6479.1
Applied rewrites79.1%
Final simplification79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (exp (* (- x) x)))
(t_3 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) t_2)))
(/
(/ (- 1.0 (pow t_3 6.0)) (- 1.0 (pow t_3 3.0)))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_2))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = exp((-x * x));
double t_3 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * t_2;
return ((1.0 - pow(t_3, 6.0)) / (1.0 - pow(t_3, 3.0))) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_2)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = exp(Float64(Float64(-x) * x)) t_3 = Float64(Float64(t_1 / fma(abs(x), -0.3275911, -1.0)) * t_2) return Float64(Float64(Float64(1.0 - (t_3 ^ 6.0)) / Float64(1.0 - (t_3 ^ 3.0))) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_2)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$3, 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[t$95$3, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := e^{\left(-x\right) \cdot x}\\
t_3 := \frac{t\_1}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_2\\
\frac{\frac{1 - {t\_3}^{6}}{1 - {t\_3}^{3}}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.1%
Final simplification79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2 (/ (- (/ 1.061405429 t_0) 1.453152027) t_0))
(t_3
(+ (/ (+ (/ (- t_2 -1.421413741) t_0) -0.284496736) t_0) 0.254829592))
(t_4 (exp (* (- x) x))))
(/
(+
1.0
(pow
(*
(/
(+
(/
(+
(/ (/ (- (* t_2 t_2) 2.020417023103615) (+ t_2 -1.421413741)) t_0)
-0.284496736)
t_0)
0.254829592)
t_1)
t_4)
3.0))
(+
1.0
(- (pow (/ t_3 (* t_0 (pow (exp x) x))) 2.0) (* (/ t_3 t_1) t_4))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = ((1.061405429 / t_0) - 1.453152027) / t_0;
double t_3 = ((((t_2 - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_4 = exp((-x * x));
return (1.0 + pow((((((((((t_2 * t_2) - 2.020417023103615) / (t_2 + -1.421413741)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_1) * t_4), 3.0)) / (1.0 + (pow((t_3 / (t_0 * pow(exp(x), x))), 2.0) - ((t_3 / t_1) * t_4)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) t_3 = Float64(Float64(Float64(Float64(Float64(t_2 - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_4 = exp(Float64(Float64(-x) * x)) return Float64(Float64(1.0 + (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(t_2 * t_2) - 2.020417023103615) / Float64(t_2 + -1.421413741)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_1) * t_4) ^ 3.0)) / Float64(1.0 + Float64((Float64(t_3 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_3 / t_1) * t_4)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(t$95$2 - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 + N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - 2.020417023103615), $MachinePrecision] / N[(t$95$2 + -1.421413741), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$1), $MachinePrecision] * t$95$4), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$3 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$3 / t$95$1), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := \frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0}\\
t_3 := \frac{\frac{t\_2 - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_4 := e^{\left(-x\right) \cdot x}\\
\frac{1 + {\left(\frac{\frac{\frac{\frac{t\_2 \cdot t\_2 - 2.020417023103615}{t\_2 + -1.421413741}}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_1} \cdot t\_4\right)}^{3}}{1 + \left({\left(\frac{t\_3}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_3}{t\_1} \cdot t\_4\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
metadata-evalN/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
metadata-evalN/A
lower-+.f6479.1
Applied rewrites79.1%
Final simplification79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* -0.3275911 (fabs x)))
(t_3 (exp (* (- x) x))))
(/
(+ 1.0 (pow (* (/ t_1 (/ (- (* t_2 t_2) 1.0) (- t_2 -1.0))) t_3) 3.0))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(*
(/
t_1
(/
(- (* (* x x) 0.10731592879921) 1.0)
(- (* (fabs x) -0.3275911) -1.0)))
t_3))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = -0.3275911 * fabs(x);
double t_3 = exp((-x * x));
return (1.0 + pow(((t_1 / (((t_2 * t_2) - 1.0) / (t_2 - -1.0))) * t_3), 3.0)) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / ((((x * x) * 0.10731592879921) - 1.0) / ((fabs(x) * -0.3275911) - -1.0))) * t_3)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = Float64(-0.3275911 * abs(x)) t_3 = exp(Float64(Float64(-x) * x)) return Float64(Float64(1.0 + (Float64(Float64(t_1 / Float64(Float64(Float64(t_2 * t_2) - 1.0) / Float64(t_2 - -1.0))) * t_3) ^ 3.0)) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / Float64(Float64(Float64(Float64(x * x) * 0.10731592879921) - 1.0) / Float64(Float64(abs(x) * -0.3275911) - -1.0))) * t_3)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(-0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 + N[Power[N[(N[(t$95$1 / N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$2 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(N[(N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision] - 1.0), $MachinePrecision] / N[(N[(N[Abs[x], $MachinePrecision] * -0.3275911), $MachinePrecision] - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := -0.3275911 \cdot \left|x\right|\\
t_3 := e^{\left(-x\right) \cdot x}\\
\frac{1 + {\left(\frac{t\_1}{\frac{t\_2 \cdot t\_2 - 1}{t\_2 - -1}} \cdot t\_3\right)}^{3}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\frac{\left(x \cdot x\right) \cdot 0.10731592879921 - 1}{\left|x\right| \cdot -0.3275911 - -1}} \cdot t\_3\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift-fma.f64N/A
lift-fabs.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lower-*.f6479.0
Applied rewrites79.0%
lift-fabs.f64N/A
lift-fma.f64N/A
flip-+N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-evalN/A
lift--.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift--.f64N/A
lift-/.f6479.0
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* -0.3275911 (fabs x)))
(t_3 (exp (* (- x) x))))
(/
(+ 1.0 (pow (* (/ t_1 (/ (- (* t_2 t_2) 1.0) (- t_2 -1.0))) t_3) 3.0))
(+
1.0
(-
(pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0)
(* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) t_3))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = -0.3275911 * fabs(x);
double t_3 = exp((-x * x));
return (1.0 + pow(((t_1 / (((t_2 * t_2) - 1.0) / (t_2 - -1.0))) * t_3), 3.0)) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - ((t_1 / fma(-0.3275911, fabs(x), -1.0)) * t_3)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = Float64(-0.3275911 * abs(x)) t_3 = exp(Float64(Float64(-x) * x)) return Float64(Float64(1.0 + (Float64(Float64(t_1 / Float64(Float64(Float64(t_2 * t_2) - 1.0) / Float64(t_2 - -1.0))) * t_3) ^ 3.0)) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * t_3)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(-0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 + N[Power[N[(N[(t$95$1 / N[(N[(N[(t$95$2 * t$95$2), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$2 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := -0.3275911 \cdot \left|x\right|\\
t_3 := e^{\left(-x\right) \cdot x}\\
\frac{1 + {\left(\frac{t\_1}{\frac{t\_2 \cdot t\_2 - 1}{t\_2 - -1}} \cdot t\_3\right)}^{3}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_3\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift-fma.f64N/A
lift-fabs.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lower-*.f6479.0
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* (/ t_1 (fma -0.3275911 (fabs x) -1.0)) (exp (* (- x) x)))))
(/
(+ 1.0 (pow t_2 3.0))
(+ 1.0 (- (pow (/ t_1 (* t_0 (pow (exp x) x))) 2.0) t_2)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = (t_1 / fma(-0.3275911, fabs(x), -1.0)) * exp((-x * x));
return (1.0 + pow(t_2, 3.0)) / (1.0 + (pow((t_1 / (t_0 * pow(exp(x), x))), 2.0) - t_2));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_2 = Float64(Float64(t_1 / fma(-0.3275911, abs(x), -1.0)) * exp(Float64(Float64(-x) * x))) return Float64(Float64(1.0 + (t_2 ^ 3.0)) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) ^ 2.0) - t_2))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 + N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot e^{\left(-x\right) \cdot x}\\
\frac{1 + {t\_2}^{3}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\right)}^{2} - t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* -0.3275911 (fabs x))) (t_1 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741) t_1)
-0.284496736)
t_1)
0.254829592)
(/ (- (* t_0 t_0) 1.0) (- t_0 -1.0)))
(exp (* (- x) x))
1.0)))
double code(double x) {
double t_0 = -0.3275911 * fabs(x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (((t_0 * t_0) - 1.0) / (t_0 - -1.0))), exp((-x * x)), 1.0);
}
function code(x) t_0 = Float64(-0.3275911 * abs(x)) t_1 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(Float64(Float64(t_0 * t_0) - 1.0) / Float64(t_0 - -1.0))), exp(Float64(Float64(-x) * x)), 1.0) end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.3275911 \cdot \left|x\right|\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{\frac{t\_0 \cdot t\_0 - 1}{t\_0 - -1}}, e^{\left(-x\right) \cdot x}, 1\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift-fma.f64N/A
lift-fabs.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lower-*.f6479.0
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(*
(+
0.254829592
(/
(+
-0.284496736
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0))
t_0))
(- 1.0 (* (fabs x) 0.3275911)))
(fma -0.10731592879921 (* x x) 1.0))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) * (1.0 - (fabs(x) * 0.3275911))) / fma(-0.10731592879921, (x * x), 1.0)) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) * Float64(1.0 - Float64(abs(x) * 0.3275911))) / fma(-0.10731592879921, Float64(x * x), 1.0)) * exp(Float64(Float64(-x) * x)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\left(0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}\right) \cdot \left(1 - \left|x\right| \cdot 0.3275911\right)}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift-*.f64N/A
lift-/.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(Float64(-x) * x)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))))
(t_2 (fma 0.3275911 (fabs x) 1.0)))
(if (<= x 1.2)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(fma
(* x x)
(- (* (* x x) (fma -0.16666666666666666 (* x x) 0.5)) 1.0)
1.0)
1.0)
(-
1.0
(*
(*
t_1
(+
0.254829592
(* t_1 (+ -0.284496736 (/ (- 1.421413741 (/ 1.453152027 t_2)) t_2)))))
(exp (* (- x) x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.0 / (1.0 + (0.3275911 * fabs(x)));
double t_2 = fma(0.3275911, fabs(x), 1.0);
double tmp;
if (x <= 1.2) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), fma((x * x), (((x * x) * fma(-0.16666666666666666, (x * x), 0.5)) - 1.0), 1.0), 1.0);
} else {
tmp = 1.0 - ((t_1 * (0.254829592 + (t_1 * (-0.284496736 + ((1.421413741 - (1.453152027 / t_2)) / t_2))))) * exp((-x * x)));
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) t_2 = fma(0.3275911, abs(x), 1.0) tmp = 0.0 if (x <= 1.2) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), fma(Float64(x * x), Float64(Float64(Float64(x * x) * fma(-0.16666666666666666, Float64(x * x), 0.5)) - 1.0), 1.0), 1.0); else tmp = Float64(1.0 - Float64(Float64(t_1 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(Float64(1.421413741 - Float64(1.453152027 / t_2)) / t_2))))) * exp(Float64(Float64(-x) * x)))); end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, If[LessEqual[x, 1.2], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision], N[(1.0 - N[(N[(t$95$1 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(N[(1.421413741 - N[(1.453152027 / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
\mathbf{if}\;x \leq 1.2:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, \mathsf{fma}\left(x \cdot x, \left(x \cdot x\right) \cdot \mathsf{fma}\left(-0.16666666666666666, x \cdot x, 0.5\right) - 1, 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1 - \left(t\_1 \cdot \left(0.254829592 + t\_1 \cdot \left(-0.284496736 + \frac{1.421413741 - \frac{1.453152027}{t\_2}}{t\_2}\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}\\
\end{array}
\end{array}
if x < 1.19999999999999996Initial program 72.1%
Applied rewrites72.1%
Taylor expanded in x around 0
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f6440.7
Applied rewrites40.7%
if 1.19999999999999996 < x Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
associate-*l/N/A
metadata-evalN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites100.0%
Taylor expanded in x around inf
lower-/.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lift-fabs.f64N/A
lower-fma.f64N/A
+-commutativeN/A
lift-fabs.f64N/A
lower-fma.f64100.0
Applied rewrites100.0%
Final simplification55.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(exp (* (- x) x))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), exp((-x * x)), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), exp(Float64(Float64(-x) * x)), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, e^{\left(-x\right) \cdot x}, 1\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(if (<= x 1.25)
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
(fma
(* x x)
(- (* (* x x) (fma -0.16666666666666666 (* x x) 0.5)) 1.0)
1.0)
1.0)
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (x <= 1.25) {
tmp = fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), fma((x * x), (((x * x) * fma(-0.16666666666666666, (x * x), 0.5)) - 1.0), 1.0), 1.0);
} else {
tmp = 1.0;
}
return tmp;
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (x <= 1.25) tmp = fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), fma(Float64(x * x), Float64(Float64(Float64(x * x) * fma(-0.16666666666666666, Float64(x * x), 0.5)) - 1.0), 1.0), 1.0); else tmp = 1.0; end return tmp end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, If[LessEqual[x, 1.25], N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(-0.16666666666666666 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]), $MachinePrecision] - 1.0), $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;x \leq 1.25:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, \mathsf{fma}\left(x \cdot x, \left(x \cdot x\right) \cdot \mathsf{fma}\left(-0.16666666666666666, x \cdot x, 0.5\right) - 1, 1\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 1.25Initial program 72.1%
Applied rewrites72.1%
Taylor expanded in x around 0
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
lower--.f64N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f6440.7
Applied rewrites40.7%
if 1.25 < x Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* -0.3275911 (fabs x))) (t_1 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741) t_1)
-0.284496736)
t_1)
0.254829592)
(/ (- (* t_0 t_0) 1.0) (- t_0 -1.0)))
1.0
1.0)))
double code(double x) {
double t_0 = -0.3275911 * fabs(x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (((t_0 * t_0) - 1.0) / (t_0 - -1.0))), 1.0, 1.0);
}
function code(x) t_0 = Float64(-0.3275911 * abs(x)) t_1 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(Float64(Float64(t_0 * t_0) - 1.0) / Float64(t_0 - -1.0))), 1.0, 1.0) end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$0 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * 1.0 + 1.0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -0.3275911 \cdot \left|x\right|\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{\frac{t\_0 \cdot t\_0 - 1}{t\_0 - -1}}, 1, 1\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Taylor expanded in x around 0
Applied rewrites77.1%
lift-fma.f64N/A
lift-fabs.f64N/A
flip-+N/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lower-*.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lower-*.f6477.1
Applied rewrites77.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0))
t_0))
(fma -0.10731592879921 (* x x) 1.0))
(- 1.0 (* 0.3275911 (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((0.254829592 + ((-0.284496736 + (((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / fma(-0.10731592879921, (x * x), 1.0)) * (1.0 - (0.3275911 * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0)) / t_0)) / fma(-0.10731592879921, Float64(x * x), 1.0)) * Float64(1.0 - Float64(0.3275911 * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{0.254829592 + \frac{-0.284496736 + \frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0}}{t\_0}}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)} \cdot \left(1 - 0.3275911 \cdot \left|x\right|\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Applied rewrites79.0%
Taylor expanded in x around 0
lower--.f64N/A
lift-fabs.f64N/A
lower-*.f6477.1
Applied rewrites77.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
1.0
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma((((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)), 1.0, 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)), 1.0, 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * 1.0 + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 1, 1\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Taylor expanded in x around 0
Applied rewrites77.1%
(FPCore (x) :precision binary64 1.0)
double code(double x) {
return 1.0;
}
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(x)
use fmin_fmax_functions
real(8), intent (in) :: x
code = 1.0d0
end function
public static double code(double x) {
return 1.0;
}
def code(x): return 1.0
function code(x) return 1.0 end
function tmp = code(x) tmp = 1.0; end
code[x_] := 1.0
\begin{array}{l}
\\
1
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Taylor expanded in x around inf
Applied rewrites54.7%
herbie shell --seed 2025043
(FPCore (x)
:name "Jmat.Real.erf"
:precision binary64
(- 1.0 (* (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ 0.254829592 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ -0.284496736 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ 1.421413741 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) (+ -1.453152027 (* (/ 1.0 (+ 1.0 (* 0.3275911 (fabs x)))) 1.061405429))))))))) (exp (- (* (fabs x) (fabs x)))))))