
(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))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = 1.0d0 / (1.0d0 + (0.3275911d0 * abs(x)))
code = 1.0d0 - ((t_0 * (0.254829592d0 + (t_0 * ((-0.284496736d0) + (t_0 * (1.421413741d0 + (t_0 * ((-1.453152027d0) + (t_0 * 1.061405429d0))))))))) * exp(-(abs(x) * abs(x))))
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (0.3275911 * Math.abs(x)));
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * Math.exp(-(Math.abs(x) * Math.abs(x))));
}
def code(x): t_0 = 1.0 / (1.0 + (0.3275911 * math.fabs(x))) return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * math.exp(-(math.fabs(x) * math.fabs(x))))
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(t_0 * Float64(1.421413741 + Float64(t_0 * Float64(-1.453152027 + Float64(t_0 * 1.061405429))))))))) * exp(Float64(-Float64(abs(x) * abs(x)))))) end
function tmp = code(x) t_0 = 1.0 / (1.0 + (0.3275911 * abs(x))); tmp = 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + (t_0 * (1.421413741 + (t_0 * (-1.453152027 + (t_0 * 1.061405429))))))))) * exp(-(abs(x) * abs(x)))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(t$95$0 * N[(1.421413741 + N[(t$95$0 * N[(-1.453152027 + N[(t$95$0 * 1.061405429), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + 0.3275911 \cdot \left|x\right|}\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + t\_0 \cdot \left(1.421413741 + t\_0 \cdot \left(-1.453152027 + t\_0 \cdot 1.061405429\right)\right)\right)\right)\right) \cdot e^{-\left|x\right| \cdot \left|x\right|}
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 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))));
}
real(8) function code(x)
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}
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= (fabs x_m) 0.0004)
(+
1e-9
(+
(* x_m 1.128386358070218)
(* x_m (* x_m (fma x_m -0.37545125292247583 -0.00011824294398844343)))))
(fma
(-
-0.254829592
(/
(+
-0.284496736
(/
(expm1
(log1p
(+
1.421413741
(/
(+ -1.453152027 (/ 1.061405429 (fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(/ (pow (exp x_m) (- x_m)) (fma 0.3275911 x_m 1.0))
1.0)))x_m = fabs(x);
double code(double x_m) {
double tmp;
if (fabs(x_m) <= 0.0004) {
tmp = 1e-9 + ((x_m * 1.128386358070218) + (x_m * (x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))));
} else {
tmp = fma((-0.254829592 - ((-0.284496736 + (expm1(log1p((1.421413741 + ((-1.453152027 + (1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))), (pow(exp(x_m), -x_m) / fma(0.3275911, x_m, 1.0)), 1.0);
}
return tmp;
}
x_m = abs(x) function code(x_m) tmp = 0.0 if (abs(x_m) <= 0.0004) tmp = Float64(1e-9 + Float64(Float64(x_m * 1.128386358070218) + Float64(x_m * Float64(x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))))); else tmp = fma(Float64(-0.254829592 - Float64(Float64(-0.284496736 + Float64(expm1(log1p(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))), Float64((exp(x_m) ^ Float64(-x_m)) / fma(0.3275911, x_m, 1.0)), 1.0); end return tmp end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 0.0004], N[(1e-9 + N[(N[(x$95$m * 1.128386358070218), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * -0.37545125292247583 + -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(-0.254829592 - N[(N[(-0.284496736 + N[(N[(Exp[N[Log[1 + N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]] - 1), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x$95$m], $MachinePrecision], (-x$95$m)], $MachinePrecision] / N[(0.3275911 * x$95$m + 1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;\left|x\_m\right| \leq 0.0004:\\
\;\;\;\;10^{-9} + \left(x\_m \cdot 1.128386358070218 + x\_m \cdot \left(x\_m \cdot \mathsf{fma}\left(x\_m, -0.37545125292247583, -0.00011824294398844343\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(-0.254829592 - \frac{-0.284496736 + \frac{\mathsf{expm1}\left(\mathsf{log1p}\left(1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}\right)\right)}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}, \frac{{\left(e^{x\_m}\right)}^{\left(-x\_m\right)}}{\mathsf{fma}\left(0.3275911, x\_m, 1\right)}, 1\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.00000000000000019e-4Initial program 58.3%
Simplified58.4%
Taylor expanded in x around inf 55.1%
Simplified52.7%
Taylor expanded in x around 0 94.9%
distribute-lft-in94.9%
*-commutative94.9%
fma-neg94.9%
metadata-eval94.9%
Applied egg-rr94.9%
if 4.00000000000000019e-4 < (fabs.f64 x) Initial program 99.9%
Simplified99.9%
sub-neg99.9%
Applied egg-rr99.9%
sub-neg99.9%
*-lft-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-undefine99.9%
Applied egg-rr99.9%
expm1-define99.9%
Simplified99.9%
add-sqr-sqrt59.0%
fabs-sqr59.0%
add-sqr-sqrt99.9%
add-log-exp99.9%
*-un-lft-identity99.9%
log-prod99.9%
metadata-eval99.9%
add-log-exp99.9%
Applied egg-rr99.9%
+-lft-identity99.9%
Simplified99.9%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* x_m 0.3275911)))))
(if (<= (fabs x_m) 0.0004)
(+
1e-9
(+
(* x_m 1.128386358070218)
(* x_m (* x_m (fma x_m -0.37545125292247583 -0.00011824294398844343)))))
(+
1.0
(*
(exp (* x_m (- x_m)))
(*
t_0
(-
(*
t_0
(-
(*
t_0
(-
(*
(+
-1.453152027
(/ 1.061405429 (+ 1.0 (pow (cbrt (* x_m 0.3275911)) 3.0))))
(/ -1.0 (+ 1.0 (* (fabs x_m) 0.3275911))))
1.421413741))
-0.284496736))
0.254829592)))))))x_m = fabs(x);
double code(double x_m) {
double t_0 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (fabs(x_m) <= 0.0004) {
tmp = 1e-9 + ((x_m * 1.128386358070218) + (x_m * (x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))));
} else {
tmp = 1.0 + (exp((x_m * -x_m)) * (t_0 * ((t_0 * ((t_0 * (((-1.453152027 + (1.061405429 / (1.0 + pow(cbrt((x_m * 0.3275911)), 3.0)))) * (-1.0 / (1.0 + (fabs(x_m) * 0.3275911)))) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(1.0 / Float64(1.0 + Float64(x_m * 0.3275911))) tmp = 0.0 if (abs(x_m) <= 0.0004) tmp = Float64(1e-9 + Float64(Float64(x_m * 1.128386358070218) + Float64(x_m * Float64(x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))))); else tmp = Float64(1.0 + Float64(exp(Float64(x_m * Float64(-x_m))) * Float64(t_0 * Float64(Float64(t_0 * Float64(Float64(t_0 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / Float64(1.0 + (cbrt(Float64(x_m * 0.3275911)) ^ 3.0)))) * Float64(-1.0 / Float64(1.0 + Float64(abs(x_m) * 0.3275911)))) - 1.421413741)) - -0.284496736)) - 0.254829592)))); end return tmp end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 0.0004], N[(1e-9 + N[(N[(x$95$m * 1.128386358070218), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * -0.37545125292247583 + -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[Exp[N[(x$95$m * (-x$95$m)), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 * N[(N[(t$95$0 * N[(N[(t$95$0 * N[(N[(N[(-1.453152027 + N[(1.061405429 / N[(1.0 + N[Power[N[Power[N[(x$95$m * 0.3275911), $MachinePrecision], 1/3], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / N[(1.0 + N[(N[Abs[x$95$m], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := \frac{1}{1 + x\_m \cdot 0.3275911}\\
\mathbf{if}\;\left|x\_m\right| \leq 0.0004:\\
\;\;\;\;10^{-9} + \left(x\_m \cdot 1.128386358070218 + x\_m \cdot \left(x\_m \cdot \mathsf{fma}\left(x\_m, -0.37545125292247583, -0.00011824294398844343\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + e^{x\_m \cdot \left(-x\_m\right)} \cdot \left(t\_0 \cdot \left(t\_0 \cdot \left(t\_0 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{1 + {\left(\sqrt[3]{x\_m \cdot 0.3275911}\right)}^{3}}\right) \cdot \frac{-1}{1 + \left|x\_m\right| \cdot 0.3275911} - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.00000000000000019e-4Initial program 58.3%
Simplified58.4%
Taylor expanded in x around inf 55.1%
Simplified52.7%
Taylor expanded in x around 0 94.9%
distribute-lft-in94.9%
*-commutative94.9%
fma-neg94.9%
metadata-eval94.9%
Applied egg-rr94.9%
if 4.00000000000000019e-4 < (fabs.f64 x) Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
add-cube-cbrt99.9%
pow399.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
Final simplification97.4%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* x_m 0.3275911)))))
(if (<= (fabs x_m) 0.0004)
(+
1e-9
(+
(* x_m 1.128386358070218)
(* x_m (* x_m (fma x_m -0.37545125292247583 -0.00011824294398844343)))))
(+
1.0
(*
(exp (* x_m (- x_m)))
(*
t_0
(-
(*
t_0
(-
(*
t_0
(-
(*
(+ -1.453152027 (/ 1.061405429 (+ 1.0 (* (fabs x_m) 0.3275911))))
(/ 1.0 (- -1.0 (* x_m 0.3275911))))
1.421413741))
-0.284496736))
0.254829592)))))))x_m = fabs(x);
double code(double x_m) {
double t_0 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (fabs(x_m) <= 0.0004) {
tmp = 1e-9 + ((x_m * 1.128386358070218) + (x_m * (x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))));
} else {
tmp = 1.0 + (exp((x_m * -x_m)) * (t_0 * ((t_0 * ((t_0 * (((-1.453152027 + (1.061405429 / (1.0 + (fabs(x_m) * 0.3275911)))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(1.0 / Float64(1.0 + Float64(x_m * 0.3275911))) tmp = 0.0 if (abs(x_m) <= 0.0004) tmp = Float64(1e-9 + Float64(Float64(x_m * 1.128386358070218) + Float64(x_m * Float64(x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))))); else tmp = Float64(1.0 + Float64(exp(Float64(x_m * Float64(-x_m))) * Float64(t_0 * Float64(Float64(t_0 * Float64(Float64(t_0 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / Float64(1.0 + Float64(abs(x_m) * 0.3275911)))) * Float64(1.0 / Float64(-1.0 - Float64(x_m * 0.3275911)))) - 1.421413741)) - -0.284496736)) - 0.254829592)))); end return tmp end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 0.0004], N[(1e-9 + N[(N[(x$95$m * 1.128386358070218), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * -0.37545125292247583 + -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[Exp[N[(x$95$m * (-x$95$m)), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 * N[(N[(t$95$0 * N[(N[(t$95$0 * N[(N[(N[(-1.453152027 + N[(1.061405429 / N[(1.0 + N[(N[Abs[x$95$m], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-1.0 - N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := \frac{1}{1 + x\_m \cdot 0.3275911}\\
\mathbf{if}\;\left|x\_m\right| \leq 0.0004:\\
\;\;\;\;10^{-9} + \left(x\_m \cdot 1.128386358070218 + x\_m \cdot \left(x\_m \cdot \mathsf{fma}\left(x\_m, -0.37545125292247583, -0.00011824294398844343\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + e^{x\_m \cdot \left(-x\_m\right)} \cdot \left(t\_0 \cdot \left(t\_0 \cdot \left(t\_0 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{1 + \left|x\_m\right| \cdot 0.3275911}\right) \cdot \frac{1}{-1 - x\_m \cdot 0.3275911} - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.00000000000000019e-4Initial program 58.3%
Simplified58.4%
Taylor expanded in x around inf 55.1%
Simplified52.7%
Taylor expanded in x around 0 94.9%
distribute-lft-in94.9%
*-commutative94.9%
fma-neg94.9%
metadata-eval94.9%
Applied egg-rr94.9%
if 4.00000000000000019e-4 < (fabs.f64 x) Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt58.9%
fabs-sqr58.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-undefine99.9%
associate--l+99.9%
metadata-eval99.9%
metadata-eval99.9%
distribute-lft-in99.9%
+-rgt-identity99.9%
*-commutative99.9%
Simplified99.9%
Final simplification97.4%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= (fabs x_m) 0.4)
(+
1e-9
(+
(* x_m 1.128386358070218)
(* x_m (* x_m (fma x_m -0.37545125292247583 -0.00011824294398844343)))))
1.0))x_m = fabs(x);
double code(double x_m) {
double tmp;
if (fabs(x_m) <= 0.4) {
tmp = 1e-9 + ((x_m * 1.128386358070218) + (x_m * (x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x) function code(x_m) tmp = 0.0 if (abs(x_m) <= 0.4) tmp = Float64(1e-9 + Float64(Float64(x_m * 1.128386358070218) + Float64(x_m * Float64(x_m * fma(x_m, -0.37545125292247583, -0.00011824294398844343))))); else tmp = 1.0; end return tmp end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 0.4], N[(1e-9 + N[(N[(x$95$m * 1.128386358070218), $MachinePrecision] + N[(x$95$m * N[(x$95$m * N[(x$95$m * -0.37545125292247583 + -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;\left|x\_m\right| \leq 0.4:\\
\;\;\;\;10^{-9} + \left(x\_m \cdot 1.128386358070218 + x\_m \cdot \left(x\_m \cdot \mathsf{fma}\left(x\_m, -0.37545125292247583, -0.00011824294398844343\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.40000000000000002Initial program 58.8%
Simplified58.9%
Taylor expanded in x around inf 55.7%
Simplified53.3%
Taylor expanded in x around 0 94.2%
distribute-lft-in94.2%
*-commutative94.2%
fma-neg94.2%
metadata-eval94.2%
Applied egg-rr94.2%
if 0.40000000000000002 < (fabs.f64 x) Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt58.4%
fabs-sqr58.4%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt58.4%
fabs-sqr58.4%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= (fabs x_m) 0.4)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
1.0))x_m = fabs(x);
double code(double x_m) {
double tmp;
if (fabs(x_m) <= 0.4) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (abs(x_m) <= 0.4d0) then
tmp = 1d-9 + (x_m * (1.128386358070218d0 + (x_m * ((x_m * (-0.37545125292247583d0)) - 0.00011824294398844343d0))))
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (Math.abs(x_m) <= 0.4) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if math.fabs(x_m) <= 0.4: tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343)))) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (abs(x_m) <= 0.4) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (abs(x_m) <= 0.4) tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343)))); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 0.4], N[(1e-9 + N[(x$95$m * N[(1.128386358070218 + N[(x$95$m * N[(N[(x$95$m * -0.37545125292247583), $MachinePrecision] - 0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;\left|x\_m\right| \leq 0.4:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.40000000000000002Initial program 58.8%
Simplified58.9%
Taylor expanded in x around inf 55.7%
Simplified53.3%
Taylor expanded in x around 0 94.2%
if 0.40000000000000002 < (fabs.f64 x) Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt58.4%
fabs-sqr58.4%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt58.4%
fabs-sqr58.4%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
Final simplification97.1%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 0.88) (+ 1e-9 (* x_m (+ 1.128386358070218 (* x_m -0.00011824294398844343)))) 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 0.88d0) then
tmp = 1d-9 + (x_m * (1.128386358070218d0 + (x_m * (-0.00011824294398844343d0))))
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 0.88: tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343))) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 0.88) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * -0.00011824294398844343)))); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 0.88) tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343))); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 0.88], N[(1e-9 + N[(x$95$m * N[(1.128386358070218 + N[(x$95$m * -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 0.88:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot -0.00011824294398844343\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.880000000000000004Initial program 70.5%
Simplified70.6%
Taylor expanded in x around inf 68.3%
Simplified66.6%
Taylor expanded in x around 0 66.9%
*-commutative66.9%
Simplified66.9%
if 0.880000000000000004 < x Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 0.88) (+ 1e-9 (* x_m 1.128386358070218)) 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 0.88d0) then
tmp = 1d-9 + (x_m * 1.128386358070218d0)
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 0.88: tmp = 1e-9 + (x_m * 1.128386358070218) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 0.88) tmp = Float64(1e-9 + Float64(x_m * 1.128386358070218)); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 0.88) tmp = 1e-9 + (x_m * 1.128386358070218); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 0.88], N[(1e-9 + N[(x$95$m * 1.128386358070218), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 0.88:\\
\;\;\;\;10^{-9} + x\_m \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.880000000000000004Initial program 70.5%
Simplified70.6%
Taylor expanded in x around inf 68.3%
Simplified66.6%
Taylor expanded in x around 0 66.8%
*-commutative66.8%
Simplified66.8%
if 0.880000000000000004 < x Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-rgt-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 2.85e-5) 1e-9 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 2.85e-5) {
tmp = 1e-9;
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 2.85d-5) then
tmp = 1d-9
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 2.85e-5) {
tmp = 1e-9;
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 2.85e-5: tmp = 1e-9 else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 2.85e-5) tmp = 1e-9; else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 2.85e-5) tmp = 1e-9; else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 2.85e-5], 1e-9, 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 2.85 \cdot 10^{-5}:\\
\;\;\;\;10^{-9}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 2.8500000000000002e-5Initial program 70.2%
Simplified70.3%
Taylor expanded in x around inf 68.0%
Simplified66.2%
Taylor expanded in x around 0 67.7%
if 2.8500000000000002e-5 < x Initial program 99.6%
Simplified99.6%
expm1-log1p-u99.6%
log1p-define99.6%
+-commutative99.6%
fma-undefine99.6%
expm1-undefine99.6%
add-exp-log99.6%
add-sqr-sqrt99.6%
fabs-sqr99.6%
add-sqr-sqrt99.6%
Applied egg-rr99.6%
fma-undefine99.6%
associate--l+99.6%
metadata-eval99.6%
metadata-eval99.6%
distribute-lft-in99.6%
+-rgt-identity99.6%
*-commutative99.6%
Simplified99.6%
expm1-log1p-u99.6%
log1p-define99.6%
+-commutative99.6%
fma-undefine99.6%
expm1-undefine99.6%
add-exp-log99.6%
add-sqr-sqrt99.6%
fabs-sqr99.6%
add-sqr-sqrt99.6%
Applied egg-rr99.6%
fma-undefine99.6%
associate--l+99.6%
metadata-eval99.6%
metadata-eval99.6%
distribute-lft-in99.6%
+-rgt-identity99.6%
*-commutative99.6%
Simplified99.6%
Taylor expanded in x around inf 96.6%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 1e-9)
x_m = fabs(x);
double code(double x_m) {
return 1e-9;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
code = 1d-9
end function
x_m = Math.abs(x);
public static double code(double x_m) {
return 1e-9;
}
x_m = math.fabs(x) def code(x_m): return 1e-9
x_m = abs(x) function code(x_m) return 1e-9 end
x_m = abs(x); function tmp = code(x_m) tmp = 1e-9; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := 1e-9
\begin{array}{l}
x_m = \left|x\right|
\\
10^{-9}
\end{array}
Initial program 78.9%
Simplified79.0%
Taylor expanded in x around inf 77.3%
Simplified76.1%
Taylor expanded in x around 0 50.9%
herbie shell --seed 2024137
(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)))))))