
(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 (exp (* (- x) x)))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592))
(t_4 (fma -0.3275911 (fabs x) -1.0))
(t_5 (* t_0 (/ t_3 t_4)))
(t_6 (pow t_5 6.0)))
(/
(/
(/ (- 1.0 (* t_6 t_6)) (+ 1.0 t_6))
(-
1.0
(pow
(*
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
t_4)
t_0)
3.0)))
(+ (- (exp (* (- (log (/ t_3 t_2)) (* x x)) 2.0)) t_5) 1.0))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = (((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_4 = fma(-0.3275911, fabs(x), -1.0);
double t_5 = t_0 * (t_3 / t_4);
double t_6 = pow(t_5, 6.0);
return (((1.0 - (t_6 * t_6)) / (1.0 + t_6)) / (1.0 - pow(((((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_4) * t_0), 3.0))) / ((exp(((log((t_3 / t_2)) - (x * x)) * 2.0)) - t_5) + 1.0);
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = fma(0.3275911, abs(x), 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) t_4 = fma(-0.3275911, abs(x), -1.0) t_5 = Float64(t_0 * Float64(t_3 / t_4)) t_6 = t_5 ^ 6.0 return Float64(Float64(Float64(Float64(1.0 - Float64(t_6 * t_6)) / Float64(1.0 + t_6)) / Float64(1.0 - (Float64(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) / t_4) * t_0) ^ 3.0))) / Float64(Float64(exp(Float64(Float64(log(Float64(t_3 / t_2)) - Float64(x * x)) * 2.0)) - t_5) + 1.0)) 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[(0.3275911 * N[Abs[x], $MachinePrecision] + 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]}, Block[{t$95$4 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$0 * N[(t$95$3 / t$95$4), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Power[t$95$5, 6.0], $MachinePrecision]}, N[(N[(N[(N[(1.0 - N[(t$95$6 * t$95$6), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$6), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[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] / t$95$4), $MachinePrecision] * t$95$0), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Exp[N[(N[(N[Log[N[(t$95$3 / t$95$2), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] - t$95$5), $MachinePrecision] + 1.0), $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 := \mathsf{fma}\left(0.3275911, \left|x\right|, 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\\
t_4 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_5 := t\_0 \cdot \frac{t\_3}{t\_4}\\
t_6 := {t\_5}^{6}\\
\frac{\frac{\frac{1 - t\_6 \cdot t\_6}{1 + t\_6}}{1 - {\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_4} \cdot t\_0\right)}^{3}}}{\left(e^{\left(\log \left(\frac{t\_3}{t\_2}\right) - x \cdot x\right) \cdot 2} - t\_5\right) + 1}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites79.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (exp (* (- x) x)))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_3 (fma -0.3275911 (fabs x) -1.0))
(t_4 (fma 0.3275911 (fabs x) 1.0))
(t_5
(*
t_1
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_4) 1.453152027) t_4) -1.421413741)
t_4)
-0.284496736)
t_4)
0.254829592)
t_3)))
(t_6 (pow t_5 3.0)))
(/
(/ (+ (pow t_6 3.0) 1.0) (+ (pow t_5 6.0) (- 1.0 (* t_6 1.0))))
(-
(exp (* (- (log (/ t_2 t_0)) (* x x)) 2.0))
(- (* (/ t_2 t_3) t_1) 1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = exp((-x * x));
double t_2 = (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_3 = fma(-0.3275911, fabs(x), -1.0);
double t_4 = fma(0.3275911, fabs(x), 1.0);
double t_5 = t_1 * (((((((((1.061405429 / t_4) - 1.453152027) / t_4) - -1.421413741) / t_4) + -0.284496736) / t_4) + 0.254829592) / t_3);
double t_6 = pow(t_5, 3.0);
return ((pow(t_6, 3.0) + 1.0) / (pow(t_5, 6.0) + (1.0 - (t_6 * 1.0)))) / (exp(((log((t_2 / t_0)) - (x * x)) * 2.0)) - (((t_2 / t_3) * t_1) - 1.0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = exp(Float64(Float64(-x) * x)) 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 = fma(-0.3275911, abs(x), -1.0) t_4 = fma(0.3275911, abs(x), 1.0) t_5 = Float64(t_1 * 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_3)) t_6 = t_5 ^ 3.0 return Float64(Float64(Float64((t_6 ^ 3.0) + 1.0) / Float64((t_5 ^ 6.0) + Float64(1.0 - Float64(t_6 * 1.0)))) / Float64(exp(Float64(Float64(log(Float64(t_2 / t_0)) - Float64(x * x)) * 2.0)) - Float64(Float64(Float64(t_2 / t_3) * t_1) - 1.0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[((-x) * x), $MachinePrecision]], $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[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$4 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 * 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$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[Power[t$95$5, 3.0], $MachinePrecision]}, N[(N[(N[(N[Power[t$95$6, 3.0], $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[Power[t$95$5, 6.0], $MachinePrecision] + N[(1.0 - N[(t$95$6 * 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Exp[N[(N[(N[Log[N[(t$95$2 / t$95$0), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] - N[(N[(N[(t$95$2 / t$95$3), $MachinePrecision] * t$95$1), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := e^{\left(-x\right) \cdot x}\\
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 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_4 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_5 := t\_1 \cdot \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_4} - 1.453152027}{t\_4} - -1.421413741}{t\_4} + -0.284496736}{t\_4} + 0.254829592}{t\_3}\\
t_6 := {t\_5}^{3}\\
\frac{\frac{{t\_6}^{3} + 1}{{t\_5}^{6} + \left(1 - t\_6 \cdot 1\right)}}{e^{\left(\log \left(\frac{t\_2}{t\_0}\right) - x \cdot x\right) \cdot 2} - \left(\frac{t\_2}{t\_3} \cdot t\_1 - 1\right)}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_3 (fma -0.3275911 (fabs x) -1.0))
(t_4 (* t_0 (/ t_2 t_3)))
(t_5 (pow t_4 3.0))
(t_6 (fma (fabs x) 0.3275911 1.0)))
(/
(/
(- 1.0 (* t_5 t_5))
(-
1.0
(pow
(*
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_6) 1.453152027) t_6) -1.421413741)
t_6)
-0.284496736)
t_6)
0.254829592)
t_3)
t_0)
3.0)))
(+ (- (exp (* (- (log (/ t_2 t_1)) (* x x)) 2.0)) t_4) 1.0))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = fma(0.3275911, fabs(x), 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 = fma(-0.3275911, fabs(x), -1.0);
double t_4 = t_0 * (t_2 / t_3);
double t_5 = pow(t_4, 3.0);
double t_6 = fma(fabs(x), 0.3275911, 1.0);
return ((1.0 - (t_5 * t_5)) / (1.0 - pow(((((((((((1.061405429 / t_6) - 1.453152027) / t_6) - -1.421413741) / t_6) + -0.284496736) / t_6) + 0.254829592) / t_3) * t_0), 3.0))) / ((exp(((log((t_2 / t_1)) - (x * x)) * 2.0)) - t_4) + 1.0);
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = fma(0.3275911, abs(x), 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 = fma(-0.3275911, abs(x), -1.0) t_4 = Float64(t_0 * Float64(t_2 / t_3)) t_5 = t_4 ^ 3.0 t_6 = fma(abs(x), 0.3275911, 1.0) return Float64(Float64(Float64(1.0 - Float64(t_5 * t_5)) / Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_6) - 1.453152027) / t_6) - -1.421413741) / t_6) + -0.284496736) / t_6) + 0.254829592) / t_3) * t_0) ^ 3.0))) / Float64(Float64(exp(Float64(Float64(log(Float64(t_2 / t_1)) - Float64(x * x)) * 2.0)) - t_4) + 1.0)) end
code[x_] := Block[{t$95$0 = N[Exp[N[((-x) * x), $MachinePrecision]], $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$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[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$0 * N[(t$95$2 / t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$4, 3.0], $MachinePrecision]}, Block[{t$95$6 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(1.0 - N[(t$95$5 * t$95$5), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$6), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$6), $MachinePrecision] - -1.421413741), $MachinePrecision] / t$95$6), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$6), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Exp[N[(N[(N[Log[N[(t$95$2 / t$95$1), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] - t$95$4), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\left(-x\right) \cdot x}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 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 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_4 := t\_0 \cdot \frac{t\_2}{t\_3}\\
t_5 := {t\_4}^{3}\\
t_6 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\frac{\frac{1 - t\_5 \cdot t\_5}{1 - {\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_6} - 1.453152027}{t\_6} - -1.421413741}{t\_6} + -0.284496736}{t\_6} + 0.254829592}{t\_3} \cdot t\_0\right)}^{3}}}{\left(e^{\left(\log \left(\frac{t\_2}{t\_1}\right) - x \cdot x\right) \cdot 2} - t\_4\right) + 1}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites79.4%
(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 (fma -0.3275911 (fabs x) -1.0))
(t_3
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_4 (exp (* (- x) x)))
(t_5
(*
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_2)
t_4)))
(/
(/ (- 1.0 (pow t_5 6.0)) (- 1.0 (pow t_5 3.0)))
(+
(- (exp (* (- (log (/ t_3 t_1)) (* x x)) 2.0)) (* t_4 (/ t_3 t_2)))
1.0))))
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 = fma(-0.3275911, fabs(x), -1.0);
double t_3 = (((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_4 = exp((-x * x));
double t_5 = (((((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_2) * t_4;
return ((1.0 - pow(t_5, 6.0)) / (1.0 - pow(t_5, 3.0))) / ((exp(((log((t_3 / t_1)) - (x * x)) * 2.0)) - (t_4 * (t_3 / t_2))) + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = fma(-0.3275911, abs(x), -1.0) t_3 = 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_4 = exp(Float64(Float64(-x) * x)) t_5 = 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_2) * t_4) return Float64(Float64(Float64(1.0 - (t_5 ^ 6.0)) / Float64(1.0 - (t_5 ^ 3.0))) / Float64(Float64(exp(Float64(Float64(log(Float64(t_3 / t_1)) - Float64(x * x)) * 2.0)) - Float64(t_4 * Float64(t_3 / t_2))) + 1.0)) 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[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$3 = 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$4 = N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = 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$2), $MachinePrecision] * t$95$4), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$5, 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[t$95$5, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(N[Exp[N[(N[(N[Log[N[(t$95$3 / t$95$1), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] - N[(t$95$4 * N[(t$95$3 / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $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 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_4 := e^{\left(-x\right) \cdot x}\\
t_5 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_2} \cdot t\_4\\
\frac{\frac{1 - {t\_5}^{6}}{1 - {t\_5}^{3}}}{\left(e^{\left(\log \left(\frac{t\_3}{t\_1}\right) - x \cdot x\right) \cdot 2} - t\_4 \cdot \frac{t\_3}{t\_2}\right) + 1}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (* (- x) x)))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3 (fma -0.3275911 (fabs x) -1.0))
(t_4
(*
(/
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_1) 1.453152027) t_1) -1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
t_3)
t_0))
(t_5
(+
(/
(+
(/
(- (/ (- (/ 1.061405429 t_2) 1.453152027) t_2) -1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592)))
(/
(/ (- 1.0 (pow t_4 6.0)) (- 1.0 (pow t_4 3.0)))
(-
(exp (* (- (log (/ t_5 t_2)) (* x x)) 2.0))
(- (* t_0 (/ t_5 t_3)) 1.0)))))
double code(double x) {
double t_0 = exp((-x * x));
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = fma(-0.3275911, fabs(x), -1.0);
double t_4 = (((((((((1.061405429 / t_1) - 1.453152027) / t_1) - -1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_3) * t_0;
double t_5 = (((((((1.061405429 / t_2) - 1.453152027) / t_2) - -1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
return ((1.0 - pow(t_4, 6.0)) / (1.0 - pow(t_4, 3.0))) / (exp(((log((t_5 / t_2)) - (x * x)) * 2.0)) - ((t_0 * (t_5 / t_3)) - 1.0));
}
function code(x) t_0 = exp(Float64(Float64(-x) * x)) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = fma(0.3275911, abs(x), 1.0) t_3 = fma(-0.3275911, abs(x), -1.0) t_4 = Float64(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) / t_3) * t_0) t_5 = 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(Float64(Float64(1.0 - (t_4 ^ 6.0)) / Float64(1.0 - (t_4 ^ 3.0))) / Float64(exp(Float64(Float64(log(Float64(t_5 / t_2)) - Float64(x * x)) * 2.0)) - Float64(Float64(t_0 * Float64(t_5 / t_3)) - 1.0))) 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[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$4 = 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] / t$95$3), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$5 = 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[(1.0 - N[Power[t$95$4, 6.0], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[Power[t$95$4, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Exp[N[(N[(N[Log[N[(t$95$5 / t$95$2), $MachinePrecision]], $MachinePrecision] - N[(x * x), $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]], $MachinePrecision] - N[(N[(t$95$0 * N[(t$95$5 / t$95$3), $MachinePrecision]), $MachinePrecision] - 1.0), $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 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_4 := \frac{\frac{\frac{\frac{\frac{1.061405429}{t\_1} - 1.453152027}{t\_1} - -1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_3} \cdot t\_0\\
t_5 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} - 1.453152027}{t\_2} - -1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
\frac{\frac{1 - {t\_4}^{6}}{1 - {t\_4}^{3}}}{e^{\left(\log \left(\frac{t\_5}{t\_2}\right) - x \cdot x\right) \cdot 2} - \left(t\_0 \cdot \frac{t\_5}{t\_3} - 1\right)}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Applied rewrites79.3%
Applied rewrites79.4%
Applied rewrites79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (* 0.3275911 (fabs x)))
(t_2 (fma -0.3275911 (fabs x) -1.0)))
(-
1.0
(*
(fma
(/ 1.0 (fma 0.3275911 (fabs x) 1.0))
0.254829592
(/
(+
(/
(- (/ (- (/ 1.061405429 t_0) 1.453152027) t_0) -1.421413741)
(/ (- (* t_1 t_1) 1.0) (- t_1 1.0)))
-0.284496736)
(* t_2 t_2)))
(exp (- (* (fabs x) (fabs x))))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.3275911 * fabs(x);
double t_2 = fma(-0.3275911, fabs(x), -1.0);
return 1.0 - (fma((1.0 / fma(0.3275911, fabs(x), 1.0)), 0.254829592, (((((((1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / (((t_1 * t_1) - 1.0) / (t_1 - 1.0))) + -0.284496736) / (t_2 * t_2))) * exp(-(fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.3275911 * abs(x)) t_2 = fma(-0.3275911, abs(x), -1.0) return Float64(1.0 - Float64(fma(Float64(1.0 / fma(0.3275911, abs(x), 1.0)), 0.254829592, Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / Float64(Float64(Float64(t_1 * t_1) - 1.0) / Float64(t_1 - 1.0))) + -0.284496736) / Float64(t_2 * t_2))) * exp(Float64(-Float64(abs(x) * abs(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]), $MachinePrecision]}, Block[{t$95$2 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(1.0 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 0.254829592 + N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] - 1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] - -1.421413741), $MachinePrecision] / N[(N[(N[(t$95$1 * t$95$1), $MachinePrecision] - 1.0), $MachinePrecision] / N[(t$95$1 - 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.284496736), $MachinePrecision] / N[(t$95$2 * t$95$2), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 0.3275911 \cdot \left|x\right|\\
t_2 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
1 - \mathsf{fma}\left(\frac{1}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)}, 0.254829592, \frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{\frac{t\_1 \cdot t\_1 - 1}{t\_1 - 1}} + -0.284496736}{t\_2 \cdot t\_2}\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.3
Applied rewrites79.3%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.3
Applied rewrites79.3%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.3
Applied rewrites79.3%
lift-fma.f64N/A
flip-+N/A
lower-/.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
metadata-evalN/A
lower--.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
lower--.f64N/A
lift-fabs.f64N/A
lift-*.f6479.3
Applied rewrites79.3%
lift-/.f64N/A
lift--.f64N/A
div-subN/A
Applied rewrites79.3%
lift-/.f64N/A
lift--.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
metadata-evalN/A
lift--.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
flip-+N/A
lift-fabs.f64N/A
lift-fma.f6479.3
Applied rewrites79.3%
(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)
(- 1.0 (* 0.10731592879921 (* x x))))
(- 1.0 (* (fabs x) 0.3275911)))
(exp (- (* (fabs x) (fabs 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) / (1.0 - (0.10731592879921 * (x * x)))) * (1.0 - (fabs(x) * 0.3275911))) * exp(-(fabs(x) * fabs(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(Float64(1.061405429 / t_0) - 1.453152027) / t_0) - -1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(1.0 - Float64(0.10731592879921 * Float64(x * x)))) * Float64(1.0 - Float64(abs(x) * 0.3275911))) * exp(Float64(-Float64(abs(x) * 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[(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[(1.0 - N[(0.10731592879921 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} - 1.453152027}{t\_0} - -1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{1 - 0.10731592879921 \cdot \left(x \cdot x\right)} \cdot \left(1 - \left|x\right| \cdot 0.3275911\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
(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)
(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 79.3%
Applied rewrites79.3%
(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)
(exp (* x x)))
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))) / 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))) / 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] / t$95$0), $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}{e^{x \cdot x}}}{t\_0}
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
(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 79.3%
Applied rewrites79.3%
(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 (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 79.3%
Applied rewrites79.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(/
(+
(/
(+
(/
(-
(/
(- (* (/ 1.0 (fma 0.3275911 (fabs x) 1.0)) 1.061405429) 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 - ((((((((((1.0 / fma(0.3275911, fabs(x), 1.0)) * 1.061405429) - 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(1.0 / fma(0.3275911, abs(x), 1.0)) * 1.061405429) - 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[(N[(1.0 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * 1.061405429), $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}{\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)} \cdot 1.061405429 - 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 79.3%
Applied rewrites79.3%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.7
Applied rewrites78.7%
lift-fma.f64N/A
*-commutativeN/A
lift-fabs.f64N/A
+-commutativeN/A
lower-/.f64N/A
metadata-evalN/A
associate-*r/N/A
*-commutativeN/A
lower-*.f64N/A
lower-/.f64N/A
+-commutativeN/A
lift-fabs.f64N/A
lift-fma.f6478.7
Applied rewrites78.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 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(0.3275911, fabs(x), 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(0.3275911, abs(x), 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[(0.3275911 * N[Abs[x], $MachinePrecision] + 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(0.3275911, \left|x\right|, 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 79.3%
Applied rewrites79.3%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.7
Applied rewrites78.7%
Applied rewrites78.7%
(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 79.3%
Applied rewrites79.3%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
lower-fma.f6478.7
Applied rewrites78.7%
(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)
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) * 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) * 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] * 1.0), $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 1
\end{array}
\end{array}
Initial program 79.3%
Applied rewrites79.3%
Taylor expanded in x around 0
Applied rewrites77.6%
herbie shell --seed 2025139
(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)))))))