
(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}
Herbie found 15 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 (fma -0.3275911 (fabs x) -1.0))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_3 (/ t_2 (fma (fabs x) -0.3275911 -1.0)))
(t_4 (exp (* (- x) x)))
(t_5 (pow (* t_3 t_4) 6.0))
(t_6 (* t_4 t_3))
(t_7 (fma 0.3275911 (fabs x) 1.0)))
(/
(/
(/ (- 1.0 (* t_5 t_5)) (/ (- 1.0 (pow t_6 12.0)) (- 1.0 (pow t_6 6.0))))
(-
1.0
(pow
(*
t_4
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_7) 1.453152027) t_7) -1.421413741)
t_7)
-0.284496736)
t_7)
0.254829592)
t_1))
3.0)))
(+
1.0
(-
(pow (/ t_2 (* t_0 (exp (* x x)))) 2.0)
(* 1.0 (* (/ t_2 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) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_3 = t_2 / fma(fabs(x), -0.3275911, -1.0);
double t_4 = exp((-x * x));
double t_5 = pow((t_3 * t_4), 6.0);
double t_6 = t_4 * t_3;
double t_7 = fma(0.3275911, fabs(x), 1.0);
return (((1.0 - (t_5 * t_5)) / ((1.0 - pow(t_6, 12.0)) / (1.0 - pow(t_6, 6.0)))) / (1.0 - pow((t_4 * (((((((((1.061405429 / t_7) - 1.453152027) / t_7) - -1.421413741) / t_7) + -0.284496736) / t_7) + 0.254829592) / t_1)), 3.0))) / (1.0 + (pow((t_2 / (t_0 * exp((x * x)))), 2.0) - (1.0 * ((t_2 / 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(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) t_3 = Float64(t_2 / fma(abs(x), -0.3275911, -1.0)) t_4 = exp(Float64(Float64(-x) * x)) t_5 = Float64(t_3 * t_4) ^ 6.0 t_6 = Float64(t_4 * t_3) t_7 = fma(0.3275911, abs(x), 1.0) return Float64(Float64(Float64(Float64(1.0 - Float64(t_5 * t_5)) / Float64(Float64(1.0 - (t_6 ^ 12.0)) / Float64(1.0 - (t_6 ^ 6.0)))) / Float64(1.0 - (Float64(t_4 * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_7) - 1.453152027) / t_7) - -1.421413741) / t_7) + -0.284496736) / t_7) + 0.254829592) / t_1)) ^ 3.0))) / Float64(1.0 + Float64((Float64(t_2 / Float64(t_0 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * Float64(Float64(t_2 / 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[(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$3 = N[(t$95$2 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(t$95$3 * t$95$4), $MachinePrecision], 6.0], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$4 * t$95$3), $MachinePrecision]}, Block[{t$95$7 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(N[(N[(N[(1.0 - N[(t$95$5 * t$95$5), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 - N[Power[t$95$6, 12.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[t$95$6, 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[N[(t$95$4 * N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$7), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$7), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$7), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$7), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$2 / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$2 / t$95$1), $MachinePrecision] * t$95$4), $MachinePrecision]), $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{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_3 := \frac{t\_2}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)}\\
t_4 := e^{\left(-x\right) \cdot x}\\
t_5 := {\left(t\_3 \cdot t\_4\right)}^{6}\\
t_6 := t\_4 \cdot t\_3\\
t_7 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
\frac{\frac{\frac{1 - t\_5 \cdot t\_5}{\frac{1 - {t\_6}^{12}}{1 - {t\_6}^{6}}}}{1 - {\left(t\_4 \cdot \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_7} - 1.453152027}{t\_7} - -1.421413741}{t\_7} + -0.284496736}{t\_7} + 0.254829592}{t\_1}\right)}^{3}}}{1 + \left({\left(\frac{t\_2}{t\_0 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_2}{t\_1} \cdot t\_4\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3
(+
(/
(+
(/
(-
(+ (/ 1.061405429 (* t_2 t_2)) 1.421413741)
(/ 1.453152027 t_2))
t_2)
-0.284496736)
t_2)
0.254829592))
(t_4 (exp (* (- x) x)))
(t_5 (pow (* (/ t_3 (fma (fabs x) -0.3275911 -1.0)) t_4) 6.0)))
(/
(/
(/ (- 1.0 (* t_5 t_5)) (+ 1.0 t_5))
(-
1.0
(pow
(*
t_4
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_1))
3.0)))
(+
1.0
(-
(pow (/ t_3 (* t_2 (exp (* x x)))) 2.0)
(* 1.0 (* (/ t_3 t_1) t_4)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = ((((((1.061405429 / (t_2 * t_2)) + 1.421413741) - (1.453152027 / t_2)) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_4 = exp((-x * x));
double t_5 = pow(((t_3 / fma(fabs(x), -0.3275911, -1.0)) * t_4), 6.0);
return (((1.0 - (t_5 * t_5)) / (1.0 + t_5)) / (1.0 - pow((t_4 * (((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_1)), 3.0))) / (1.0 + (pow((t_3 / (t_2 * exp((x * x)))), 2.0) - (1.0 * ((t_3 / t_1) * t_4))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / Float64(t_2 * t_2)) + 1.421413741) - Float64(1.453152027 / t_2)) / t_2) + -0.284496736) / t_2) + 0.254829592) t_4 = exp(Float64(Float64(-x) * x)) t_5 = Float64(Float64(t_3 / fma(abs(x), -0.3275911, -1.0)) * t_4) ^ 6.0 return Float64(Float64(Float64(Float64(1.0 - Float64(t_5 * t_5)) / Float64(1.0 + t_5)) / Float64(1.0 - (Float64(t_4 * 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_1)) ^ 3.0))) / Float64(1.0 + Float64((Float64(t_3 / Float64(t_2 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * Float64(Float64(t_3 / t_1) * t_4))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[Power[N[(N[(t$95$3 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision], 6.0], $MachinePrecision]}, N[(N[(N[(N[(1.0 - N[(t$95$5 * t$95$5), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$5), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[N[(t$95$4 * 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$1), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$3 / N[(t$95$2 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$3 / t$95$1), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := \frac{\frac{\left(\frac{1.061405429}{t\_2 \cdot t\_2} + 1.421413741\right) - \frac{1.453152027}{t\_2}}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
t_4 := e^{\left(-x\right) \cdot x}\\
t_5 := {\left(\frac{t\_3}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_4\right)}^{6}\\
\frac{\frac{\frac{1 - t\_5 \cdot t\_5}{1 + t\_5}}{1 - {\left(t\_4 \cdot \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_1}\right)}^{3}}}{1 + \left({\left(\frac{t\_3}{t\_2 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_3}{t\_1} \cdot t\_4\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.1%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3 (exp (* (- x) x)))
(t_4
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592))
(t_5 (/ t_4 (fma (fabs x) -0.3275911 -1.0))))
(/
(/
(/ (- 1.0 (pow (pow (* t_3 t_5) 6.0) 2.0)) (+ 1.0 (pow (* t_5 t_3) 6.0)))
(-
1.0
(pow
(*
t_3
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_1))
3.0)))
(+
1.0
(-
(pow (/ t_4 (* t_2 (exp (* x x)))) 2.0)
(* 1.0 (* (/ t_4 t_1) t_3)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = exp((-x * x));
double t_4 = (((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_5 = t_4 / fma(fabs(x), -0.3275911, -1.0);
return (((1.0 - pow(pow((t_3 * t_5), 6.0), 2.0)) / (1.0 + pow((t_5 * t_3), 6.0))) / (1.0 - pow((t_3 * (((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_1)), 3.0))) / (1.0 + (pow((t_4 / (t_2 * exp((x * x)))), 2.0) - (1.0 * ((t_4 / t_1) * t_3))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = exp(Float64(Float64(-x) * x)) t_4 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) t_5 = Float64(t_4 / fma(abs(x), -0.3275911, -1.0)) return Float64(Float64(Float64(Float64(1.0 - ((Float64(t_3 * t_5) ^ 6.0) ^ 2.0)) / Float64(1.0 + (Float64(t_5 * t_3) ^ 6.0))) / Float64(1.0 - (Float64(t_3 * 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_1)) ^ 3.0))) / Float64(1.0 + Float64((Float64(t_4 / Float64(t_2 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * Float64(Float64(t_4 / t_1) * t_3))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 - N[Power[N[Power[N[(t$95$3 * t$95$5), $MachinePrecision], 6.0], $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[Power[N[(t$95$5 * t$95$3), $MachinePrecision], 6.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[N[(t$95$3 * 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$1), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$4 / N[(t$95$2 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$4 / t$95$1), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := e^{\left(-x\right) \cdot x}\\
t_4 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
t_5 := \frac{t\_4}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)}\\
\frac{\frac{\frac{1 - {\left({\left(t\_3 \cdot t\_5\right)}^{6}\right)}^{2}}{1 + {\left(t\_5 \cdot t\_3\right)}^{6}}}{1 - {\left(t\_3 \cdot \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_1}\right)}^{3}}}{1 + \left({\left(\frac{t\_4}{t\_2 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_4}{t\_1} \cdot t\_3\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.1%
Applied rewrites79.1%
(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))
(t_4 (pow t_3 3.0)))
(/
(/ (+ 1.0 (pow t_4 3.0)) (+ 1.0 (- (pow t_3 6.0) t_4)))
(+
1.0
(-
(pow (/ t_1 (* t_0 (exp (* x x)))) 2.0)
(* 1.0 (* (/ 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, 3.0);
return ((1.0 + pow(t_4, 3.0)) / (1.0 + (pow(t_3, 6.0) - t_4))) / (1.0 + (pow((t_1 / (t_0 * exp((x * x)))), 2.0) - (1.0 * ((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 ^ 3.0 return Float64(Float64(Float64(1.0 + (t_4 ^ 3.0)) / Float64(1.0 + Float64((t_3 ^ 6.0) - t_4))) / Float64(1.0 + Float64((Float64(t_1 / Float64(t_0 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * 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, 3.0], $MachinePrecision]}, N[(N[(N[(1.0 + N[Power[t$95$4, 3.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[t$95$3, 6.0], $MachinePrecision] - t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$1 / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$1 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $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}^{3}\\
\frac{\frac{1 + {t\_4}^{3}}{1 + \left({t\_3}^{6} - t\_4\right)}}{1 + \left({\left(\frac{t\_1}{t\_0 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_2\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(-
(+ (/ 1.061405429 (* t_0 t_0)) 1.421413741)
(/ 1.453152027 t_0))
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (* (/ t_1 (fma (fabs x) -0.3275911 -1.0)) (exp (* (- x) x)))))
(/
(- 1.0 (pow t_2 6.0))
(*
(- 1.0 (pow t_2 3.0))
(- (+ 1.0 (pow (/ t_1 (* (exp (* x x)) t_0)) 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 * t_0)) + 1.421413741) - (1.453152027 / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = (t_1 / fma(fabs(x), -0.3275911, -1.0)) * exp((-x * x));
return (1.0 - pow(t_2, 6.0)) / ((1.0 - pow(t_2, 3.0)) * ((1.0 + pow((t_1 / (exp((x * x)) * t_0)), 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(1.061405429 / Float64(t_0 * t_0)) + 1.421413741) - Float64(1.453152027 / t_0)) / 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(1.0 - (t_2 ^ 6.0)) / Float64(Float64(1.0 - (t_2 ^ 3.0)) * Float64(Float64(1.0 + (Float64(t_1 / Float64(exp(Float64(x * x)) * t_0)) ^ 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[(1.061405429 / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $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[(1.0 - N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[Power[N[(t$95$1 / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$0), $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{\left(\frac{1.061405429}{t\_0 \cdot t\_0} + 1.421413741\right) - \frac{1.453152027}{t\_0}}{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{1 - {t\_2}^{6}}{\left(1 - {t\_2}^{3}\right) \cdot \left(\left(1 + {\left(\frac{t\_1}{e^{x \cdot x} \cdot t\_0}\right)}^{2}\right) - t\_2\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.0%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (- x) x))
(t_1 (* (fabs x) -0.3275911))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592)))
(/
(fma
(pow (/ t_3 (/ (- (* t_1 t_1) 1.0) (- t_1 -1.0))) 3.0)
(exp (* t_0 3.0))
1.0)
(+
1.0
(-
(pow (/ t_3 (* t_2 (exp (* x x)))) 2.0)
(* 1.0 (* (/ t_3 (fma -0.3275911 (fabs x) -1.0)) (exp t_0))))))))
double code(double x) {
double t_0 = -x * x;
double t_1 = fabs(x) * -0.3275911;
double t_2 = fma(fabs(x), 0.3275911, 1.0);
double t_3 = (((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
return fma(pow((t_3 / (((t_1 * t_1) - 1.0) / (t_1 - -1.0))), 3.0), exp((t_0 * 3.0)), 1.0) / (1.0 + (pow((t_3 / (t_2 * exp((x * x)))), 2.0) - (1.0 * ((t_3 / fma(-0.3275911, fabs(x), -1.0)) * exp(t_0)))));
}
function code(x) t_0 = Float64(Float64(-x) * x) t_1 = Float64(abs(x) * -0.3275911) t_2 = fma(abs(x), 0.3275911, 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) return Float64(fma((Float64(t_3 / Float64(Float64(Float64(t_1 * t_1) - 1.0) / Float64(t_1 - -1.0))) ^ 3.0), exp(Float64(t_0 * 3.0)), 1.0) / Float64(1.0 + Float64((Float64(t_3 / Float64(t_2 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * Float64(Float64(t_3 / fma(-0.3275911, abs(x), -1.0)) * exp(t_0)))))) end
code[x_] := Block[{t$95$0 = N[((-x) * x), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * -0.3275911), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[Power[N[(t$95$3 / N[(N[(N[(t$95$1 * t$95$1), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$1 - -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] * N[Exp[N[(t$95$0 * 3.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$3 / N[(t$95$2 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$3 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(-x\right) \cdot x\\
t_1 := \left|x\right| \cdot -0.3275911\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
\frac{\mathsf{fma}\left({\left(\frac{t\_3}{\frac{t\_1 \cdot t\_1 - 1}{t\_1 - -1}}\right)}^{3}, e^{t\_0 \cdot 3}, 1\right)}{1 + \left({\left(\frac{t\_3}{t\_2 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_3}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot e^{t\_0}\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
lift-fabs.f64N/A
lift-fma.f64N/A
*-commutativeN/A
flip-+N/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-fabs.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-fabs.f64N/A
lower--.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-fabs.f6479.0
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(+
(/
(+
(/ (+ 1.421413741 (/ (- (/ 1.061405429 t_1) 1.453152027) t_1)) t_1)
-0.284496736)
t_1)
0.254829592))
(t_3 (exp (* (- x) x))))
(/
(+
1.0
(pow
(*
(/
(+
(/
(+
(/
(- (+ (/ 1.061405429 (* t_0 t_0)) 1.421413741) (/ 1.453152027 t_0))
t_1)
-0.284496736)
t_1)
0.254829592)
(fma -0.3275911 (fabs x) -1.0))
t_3)
3.0))
(-
(+ 1.0 (pow (/ t_2 (* (exp (* x x)) t_1)) 2.0))
(* (/ t_2 (fma (fabs x) -0.3275911 -1.0)) t_3)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = ((((1.421413741 + (((1.061405429 / t_1) - 1.453152027) / t_1)) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_3 = exp((-x * x));
return (1.0 + pow((((((((((1.061405429 / (t_0 * t_0)) + 1.421413741) - (1.453152027 / t_0)) / t_1) + -0.284496736) / t_1) + 0.254829592) / fma(-0.3275911, fabs(x), -1.0)) * t_3), 3.0)) / ((1.0 + pow((t_2 / (exp((x * x)) * t_1)), 2.0)) - ((t_2 / fma(fabs(x), -0.3275911, -1.0)) * t_3));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(1.421413741 + Float64(Float64(Float64(1.061405429 / t_1) - 1.453152027) / t_1)) / t_1) + -0.284496736) / t_1) + 0.254829592) t_3 = exp(Float64(Float64(-x) * x)) return Float64(Float64(1.0 + (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / Float64(t_0 * t_0)) + 1.421413741) - Float64(1.453152027 / t_0)) / t_1) + -0.284496736) / t_1) + 0.254829592) / fma(-0.3275911, abs(x), -1.0)) * t_3) ^ 3.0)) / Float64(Float64(1.0 + (Float64(t_2 / Float64(exp(Float64(x * x)) * t_1)) ^ 2.0)) - Float64(Float64(t_2 / fma(abs(x), -0.3275911, -1.0)) * t_3))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(N[(1.421413741 + N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$3 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, N[(N[(1.0 + N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[Power[N[(t$95$2 / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] - N[(N[(t$95$2 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{1.421413741 + \frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1}}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_3 := e^{\left(-x\right) \cdot x}\\
\frac{1 + {\left(\frac{\frac{\frac{\left(\frac{1.061405429}{t\_0 \cdot t\_0} + 1.421413741\right) - \frac{1.453152027}{t\_0}}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} \cdot t\_3\right)}^{3}}{\left(1 + {\left(\frac{t\_2}{e^{x \cdot x} \cdot t\_1}\right)}^{2}\right) - \frac{t\_2}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)} \cdot t\_3}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites78.9%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites78.9%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites78.9%
Applied rewrites78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma -0.3275911 (fabs x) -1.0))
(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 (* (- x) x))
(t_4 (fma 0.3275911 (fabs x) 1.0)))
(/
(fma
(pow
(/
(+
(/
(+
(/ (- (/ (- (/ 1.061405429 t_4) 1.453152027) t_4) -1.421413741) t_4)
-0.284496736)
t_4)
0.254829592)
t_0)
3.0)
(exp (* t_3 3.0))
1.0)
(+
1.0
(-
(pow (/ t_2 (* t_1 (exp (* x x)))) 2.0)
(* 1.0 (* (/ t_2 t_0) (exp t_3))))))))
double code(double x) {
double t_0 = fma(-0.3275911, fabs(x), -1.0);
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 = -x * x;
double t_4 = fma(0.3275911, fabs(x), 1.0);
return fma(pow((((((((((1.061405429 / t_4) - 1.453152027) / t_4) - -1.421413741) / t_4) + -0.284496736) / t_4) + 0.254829592) / t_0), 3.0), exp((t_3 * 3.0)), 1.0) / (1.0 + (pow((t_2 / (t_1 * exp((x * x)))), 2.0) - (1.0 * ((t_2 / t_0) * exp(t_3)))));
}
function code(x) t_0 = fma(-0.3275911, abs(x), -1.0) 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(Float64(-x) * x) t_4 = fma(0.3275911, abs(x), 1.0) return Float64(fma((Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_4) - 1.453152027) / t_4) - -1.421413741) / t_4) + -0.284496736) / t_4) + 0.254829592) / t_0) ^ 3.0), exp(Float64(t_3 * 3.0)), 1.0) / Float64(1.0 + Float64((Float64(t_2 / Float64(t_1 * exp(Float64(x * x)))) ^ 2.0) - Float64(1.0 * Float64(Float64(t_2 / t_0) * exp(t_3)))))) end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $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[((-x) * x), $MachinePrecision]}, Block[{t$95$4 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(N[(N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$4), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$4), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$4), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$4), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision], 3.0], $MachinePrecision] * N[Exp[N[(t$95$3 * 3.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] / N[(1.0 + N[(N[Power[N[(t$95$2 / N[(t$95$1 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] - N[(1.0 * N[(N[(t$95$2 / t$95$0), $MachinePrecision] * N[Exp[t$95$3], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
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 x\\
t_4 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
\frac{\mathsf{fma}\left({\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_4} - 1.453152027}{t\_4} - -1.421413741}{t\_4} + -0.284496736}{t\_4} + 0.254829592}{t\_0}\right)}^{3}, e^{t\_3 \cdot 3}, 1\right)}{1 + \left({\left(\frac{t\_2}{t\_1 \cdot e^{x \cdot x}}\right)}^{2} - 1 \cdot \left(\frac{t\_2}{t\_0} \cdot e^{t\_3}\right)\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (- 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 (/ t_2 (fma (fabs x) -0.3275911 -1.0))))
(/
(fma (pow t_3 3.0) (exp (* t_0 3.0)) 1.0)
(- (+ (pow (/ t_2 (* t_1 (exp (* x x)))) 2.0) 1.0) (* (exp t_0) t_3)))))
double code(double x) {
double t_0 = -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 = t_2 / fma(fabs(x), -0.3275911, -1.0);
return fma(pow(t_3, 3.0), exp((t_0 * 3.0)), 1.0) / ((pow((t_2 / (t_1 * exp((x * x)))), 2.0) + 1.0) - (exp(t_0) * t_3));
}
function code(x) t_0 = 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(t_2 / fma(abs(x), -0.3275911, -1.0)) return Float64(fma((t_3 ^ 3.0), exp(Float64(t_0 * 3.0)), 1.0) / Float64(Float64((Float64(t_2 / Float64(t_1 * exp(Float64(x * x)))) ^ 2.0) + 1.0) - Float64(exp(t_0) * t_3))) end
code[x_] := Block[{t$95$0 = N[((-x) * x), $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[(t$95$2 / N[(N[Abs[x], $MachinePrecision] * -0.3275911 + -1.0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$3, 3.0], $MachinePrecision] * N[Exp[N[(t$95$0 * 3.0), $MachinePrecision]], $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(N[Power[N[(t$95$2 / N[(t$95$1 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision] - N[(N[Exp[t$95$0], $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \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 := \frac{t\_2}{\mathsf{fma}\left(\left|x\right|, -0.3275911, -1\right)}\\
\frac{\mathsf{fma}\left({t\_3}^{3}, e^{t\_0 \cdot 3}, 1\right)}{\left({\left(\frac{t\_2}{t\_1 \cdot e^{x \cdot x}}\right)}^{2} + 1\right) - e^{t\_0} \cdot t\_3}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Applied rewrites79.0%
Applied rewrites79.0%
Applied rewrites79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(+
(/
(+
(/
(- (+ (/ 1.061405429 (* t_1 t_1)) 1.421413741) (/ 1.453152027 t_1))
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);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((((((((1.061405429 / (t_1 * t_1)) + 1.421413741) - (1.453152027 / t_1)) / 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) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / Float64(t_1 * t_1)) + 1.421413741) - Float64(1.453152027 / t_1)) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(t_0 * exp(Float64(x * x))))) 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]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $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)\\
1 - \frac{\frac{\frac{\left(\frac{1.061405429}{t\_1 \cdot t\_1} + 1.421413741\right) - \frac{1.453152027}{t\_1}}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
lower--.f64N/A
Applied rewrites78.9%
(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)
(exp (* x x)))
(/ 1.0 t_0)))))
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) / exp((x * x))) * (1.0 / t_0));
}
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) / exp(Float64(x * x))) * Float64(1.0 / t_0))) 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] / N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(1.0 / t$95$0), $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}{e^{x \cdot x}} \cdot \frac{1}{t\_0}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
(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 rewrites78.9%
(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(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(t_0 * exp(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[(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[(t$95$0 * N[Exp[N[(x * 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{\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^{x \cdot x}}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
(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)
(fma x x 1.0)))))
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) / fma(x, x, 1.0));
}
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) / fma(x, x, 1.0))) 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[(x * x + 1.0), $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{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{\mathsf{fma}\left(x, x, 1\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.3
Applied rewrites78.3%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
lower-/.f64N/A
Applied rewrites78.3%
(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 (fma x x 1.0))))))
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 * fma(x, x, 1.0)));
}
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(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(t_0 * fma(x, x, 1.0)))) 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[(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[(t$95$0 * N[(x * x + 1.0), $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 \mathsf{fma}\left(x, x, 1\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites78.9%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.3
Applied rewrites78.3%
herbie shell --seed 2025143
(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)))))))