
(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 8 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 -0.37545125292247583) 0.00011824294398844343)))))
(fma
(exp (* x_m (- x_m)))
(/
(-
(+
(/ 0.284496736 (fma x_m 0.3275911 1.0))
(/ 1.453152027 (pow (fma x_m 0.3275911 1.0) 3.0)))
(+
(/ 1.061405429 (pow (fma x_m 0.3275911 1.0) 4.0))
(+ (/ 1.421413741 (pow (fma x_m 0.3275911 1.0) 2.0)) 0.254829592)))
(fma x_m 0.3275911 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 * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = fma(exp((x_m * -x_m)), ((((0.284496736 / fma(x_m, 0.3275911, 1.0)) + (1.453152027 / pow(fma(x_m, 0.3275911, 1.0), 3.0))) - ((1.061405429 / pow(fma(x_m, 0.3275911, 1.0), 4.0)) + ((1.421413741 / pow(fma(x_m, 0.3275911, 1.0), 2.0)) + 0.254829592))) / fma(x_m, 0.3275911, 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(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = fma(exp(Float64(x_m * Float64(-x_m))), Float64(Float64(Float64(Float64(0.284496736 / fma(x_m, 0.3275911, 1.0)) + Float64(1.453152027 / (fma(x_m, 0.3275911, 1.0) ^ 3.0))) - Float64(Float64(1.061405429 / (fma(x_m, 0.3275911, 1.0) ^ 4.0)) + Float64(Float64(1.421413741 / (fma(x_m, 0.3275911, 1.0) ^ 2.0)) + 0.254829592))) / fma(x_m, 0.3275911, 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[(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], N[(N[Exp[N[(x$95$m * (-x$95$m)), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(0.284496736 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision] + N[(1.453152027 / N[Power[N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(1.061405429 / N[Power[N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision], 4.0], $MachinePrecision]), $MachinePrecision] + N[(N[(1.421413741 / N[Power[N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 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} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(e^{x\_m \cdot \left(-x\_m\right)}, \frac{\left(\frac{0.284496736}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)} + \frac{1.453152027}{{\left(\mathsf{fma}\left(x\_m, 0.3275911, 1\right)\right)}^{3}}\right) - \left(\frac{1.061405429}{{\left(\mathsf{fma}\left(x\_m, 0.3275911, 1\right)\right)}^{4}} + \left(\frac{1.421413741}{{\left(\mathsf{fma}\left(x\_m, 0.3275911, 1\right)\right)}^{2}} + 0.254829592\right)\right)}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}, 1\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.00000000000000019e-4Initial program 58.0%
Simplified58.0%
Applied egg-rr58.0%
Taylor expanded in x around 0 99.7%
if 4.00000000000000019e-4 < (fabs.f64 x) Initial program 100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
Simplified99.3%
pow299.3%
distribute-lft-neg-in99.3%
Applied egg-rr99.3%
Final simplification99.5%
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 -0.37545125292247583) 0.00011824294398844343)))))
(+
1.0
(*
(exp (* x_m (- x_m)))
(*
t_0
(-
(*
t_0
(-
(*
(+
1.421413741
(+
(/ 1.061405429 (pow (fma x_m 0.3275911 1.0) 2.0))
(/ -1.453152027 (fma x_m 0.3275911 1.0))))
(/ 1.0 (- -1.0 (* x_m 0.3275911))))
-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 * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0 + (exp((x_m * -x_m)) * (t_0 * ((t_0 * (((1.421413741 + ((1.061405429 / pow(fma(x_m, 0.3275911, 1.0), 2.0)) + (-1.453152027 / fma(x_m, 0.3275911, 1.0)))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - -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(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(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(Float64(1.421413741 + Float64(Float64(1.061405429 / (fma(x_m, 0.3275911, 1.0) ^ 2.0)) + Float64(-1.453152027 / fma(x_m, 0.3275911, 1.0)))) * Float64(1.0 / Float64(-1.0 - Float64(x_m * 0.3275911)))) - -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[(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], 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[(N[(1.421413741 + N[(N[(1.061405429 / N[Power[N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(-1.453152027 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-1.0 - N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $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} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + e^{x\_m \cdot \left(-x\_m\right)} \cdot \left(t\_0 \cdot \left(t\_0 \cdot \left(\left(1.421413741 + \left(\frac{1.061405429}{{\left(\mathsf{fma}\left(x\_m, 0.3275911, 1\right)\right)}^{2}} + \frac{-1.453152027}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}\right)\right) \cdot \frac{1}{-1 - x\_m \cdot 0.3275911} - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.00000000000000019e-4Initial program 58.0%
Simplified58.0%
Applied egg-rr58.0%
Taylor expanded in x around 0 99.7%
if 4.00000000000000019e-4 < (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-sqrt52.2%
fabs-sqr52.2%
add-sqr-sqrt99.4%
Applied egg-rr99.4%
fma-undefine99.4%
associate--l+99.4%
metadata-eval99.4%
metadata-eval99.4%
distribute-lft-in99.4%
+-rgt-identity99.4%
*-commutative99.4%
Simplified99.4%
Taylor expanded in x around 0 99.4%
associate--l+99.4%
sub-neg99.4%
associate-*r/99.4%
metadata-eval99.4%
+-commutative99.4%
*-commutative99.4%
fma-define99.4%
rem-square-sqrt52.2%
fabs-sqr52.2%
rem-square-sqrt99.3%
associate-*r/99.3%
metadata-eval99.3%
distribute-neg-frac99.3%
metadata-eval99.3%
+-commutative99.3%
*-commutative99.3%
fma-define99.3%
Simplified99.4%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt52.2%
fabs-sqr52.2%
add-sqr-sqrt99.4%
Applied egg-rr99.3%
fma-undefine99.4%
associate--l+99.4%
metadata-eval99.4%
metadata-eval99.4%
distribute-lft-in99.4%
+-rgt-identity99.4%
*-commutative99.4%
Simplified99.3%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt52.2%
fabs-sqr52.2%
add-sqr-sqrt99.4%
Applied egg-rr99.3%
fma-undefine99.4%
associate--l+99.4%
metadata-eval99.4%
metadata-eval99.4%
distribute-lft-in99.4%
+-rgt-identity99.4%
*-commutative99.4%
Simplified99.3%
Final simplification99.5%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0 (* (fabs x_m) 0.3275911)) (t_1 (/ 1.0 (+ 1.0 (* x_m 0.3275911)))))
(if (<= x_m 0.00048)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(+
1.0
(*
(exp (* x_m (- x_m)))
(*
t_1
(-
(*
t_1
(-
(*
t_1
(-
(*
(/ 1.0 (+ 1.0 t_0))
(- (/ 1.061405429 (- -1.0 t_0)) -1.453152027))
1.421413741))
-0.284496736))
0.254829592)))))))x_m = fabs(x);
double code(double x_m) {
double t_0 = fabs(x_m) * 0.3275911;
double t_1 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (x_m <= 0.00048) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0 + (exp((x_m * -x_m)) * (t_1 * ((t_1 * ((t_1 * (((1.0 / (1.0 + t_0)) * ((1.061405429 / (-1.0 - t_0)) - -1.453152027)) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = abs(x_m) * 0.3275911d0
t_1 = 1.0d0 / (1.0d0 + (x_m * 0.3275911d0))
if (x_m <= 0.00048d0) then
tmp = 1d-9 + (x_m * (1.128386358070218d0 + (x_m * ((x_m * (-0.37545125292247583d0)) - 0.00011824294398844343d0))))
else
tmp = 1.0d0 + (exp((x_m * -x_m)) * (t_1 * ((t_1 * ((t_1 * (((1.0d0 / (1.0d0 + t_0)) * ((1.061405429d0 / ((-1.0d0) - t_0)) - (-1.453152027d0))) - 1.421413741d0)) - (-0.284496736d0))) - 0.254829592d0)))
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double t_0 = Math.abs(x_m) * 0.3275911;
double t_1 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (x_m <= 0.00048) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0 + (Math.exp((x_m * -x_m)) * (t_1 * ((t_1 * ((t_1 * (((1.0 / (1.0 + t_0)) * ((1.061405429 / (-1.0 - t_0)) - -1.453152027)) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): t_0 = math.fabs(x_m) * 0.3275911 t_1 = 1.0 / (1.0 + (x_m * 0.3275911)) tmp = 0 if x_m <= 0.00048: tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343)))) else: tmp = 1.0 + (math.exp((x_m * -x_m)) * (t_1 * ((t_1 * ((t_1 * (((1.0 / (1.0 + t_0)) * ((1.061405429 / (-1.0 - t_0)) - -1.453152027)) - 1.421413741)) - -0.284496736)) - 0.254829592))) return tmp
x_m = abs(x) function code(x_m) t_0 = Float64(abs(x_m) * 0.3275911) t_1 = Float64(1.0 / Float64(1.0 + Float64(x_m * 0.3275911))) tmp = 0.0 if (x_m <= 0.00048) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = Float64(1.0 + Float64(exp(Float64(x_m * Float64(-x_m))) * Float64(t_1 * Float64(Float64(t_1 * Float64(Float64(t_1 * Float64(Float64(Float64(1.0 / Float64(1.0 + t_0)) * Float64(Float64(1.061405429 / Float64(-1.0 - t_0)) - -1.453152027)) - 1.421413741)) - -0.284496736)) - 0.254829592)))); end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) t_0 = abs(x_m) * 0.3275911; t_1 = 1.0 / (1.0 + (x_m * 0.3275911)); tmp = 0.0; if (x_m <= 0.00048) tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343)))); else tmp = 1.0 + (exp((x_m * -x_m)) * (t_1 * ((t_1 * ((t_1 * (((1.0 / (1.0 + t_0)) * ((1.061405429 / (-1.0 - t_0)) - -1.453152027)) - 1.421413741)) - -0.284496736)) - 0.254829592))); end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(N[Abs[x$95$m], $MachinePrecision] * 0.3275911), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(1.0 + N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x$95$m, 0.00048], 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], N[(1.0 + N[(N[Exp[N[(x$95$m * (-x$95$m)), $MachinePrecision]], $MachinePrecision] * N[(t$95$1 * N[(N[(t$95$1 * N[(N[(t$95$1 * N[(N[(N[(1.0 / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] * N[(N[(1.061405429 / N[(-1.0 - t$95$0), $MachinePrecision]), $MachinePrecision] - -1.453152027), $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 := \left|x\_m\right| \cdot 0.3275911\\
t_1 := \frac{1}{1 + x\_m \cdot 0.3275911}\\
\mathbf{if}\;x\_m \leq 0.00048:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1 + e^{x\_m \cdot \left(-x\_m\right)} \cdot \left(t\_1 \cdot \left(t\_1 \cdot \left(t\_1 \cdot \left(\frac{1}{1 + t\_0} \cdot \left(\frac{1.061405429}{-1 - t\_0} - -1.453152027\right) - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < 4.80000000000000012e-4Initial program 72.7%
Simplified72.7%
Applied egg-rr72.2%
Taylor expanded in x around 0 66.1%
if 4.80000000000000012e-4 < 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%
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%
Final simplification75.5%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= x_m 1.1)
(+
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 (x_m <= 1.1) {
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 (x_m <= 1.1d0) 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 (x_m <= 1.1) {
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 x_m <= 1.1: 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 (x_m <= 1.1) 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 (x_m <= 1.1) 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[x$95$m, 1.1], 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}\;x\_m \leq 1.1:\\
\;\;\;\;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 x < 1.1000000000000001Initial program 72.7%
Simplified72.7%
Applied egg-rr72.2%
Taylor expanded in x around 0 66.1%
if 1.1000000000000001 < 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%
Taylor expanded in x around 0 100.0%
associate--l+100.0%
sub-neg100.0%
associate-*r/100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
associate-*r/100.0%
metadata-eval100.0%
distribute-neg-frac100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
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%
Final simplification75.5%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 0.9) (+ 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 <= 0.9) {
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 <= 0.9d0) 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 <= 0.9) {
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 <= 0.9: 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 <= 0.9) 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 <= 0.9) 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, 0.9], 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 0.9:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot -0.00011824294398844343\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.900000000000000022Initial program 72.7%
Simplified72.7%
Applied egg-rr72.2%
Taylor expanded in x around 0 64.8%
*-commutative64.8%
Simplified64.8%
if 0.900000000000000022 < 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%
Taylor expanded in x around 0 100.0%
associate--l+100.0%
sub-neg100.0%
associate-*r/100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
associate-*r/100.0%
metadata-eval100.0%
distribute-neg-frac100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
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 0.9) (+ 1e-9 (* x_m 1.128386358070218)) 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.9) {
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 <= 0.9d0) 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 <= 0.9) {
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 <= 0.9: 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 <= 0.9) 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 <= 0.9) 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, 0.9], 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 0.9:\\
\;\;\;\;10^{-9} + x\_m \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.900000000000000022Initial program 72.7%
Simplified72.7%
Applied egg-rr72.2%
Taylor expanded in x around 0 64.7%
*-commutative64.7%
Simplified64.7%
if 0.900000000000000022 < 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%
Taylor expanded in x around 0 100.0%
associate--l+100.0%
sub-neg100.0%
associate-*r/100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
rem-square-sqrt100.0%
fabs-sqr100.0%
rem-square-sqrt100.0%
associate-*r/100.0%
metadata-eval100.0%
distribute-neg-frac100.0%
metadata-eval100.0%
+-commutative100.0%
*-commutative100.0%
fma-define100.0%
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 2.8e-5) 1e-9 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 2.8e-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 <= 2.8d-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 <= 2.8e-5) {
tmp = 1e-9;
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 2.8e-5: tmp = 1e-9 else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 2.8e-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 <= 2.8e-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, 2.8e-5], 1e-9, 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 2.8 \cdot 10^{-5}:\\
\;\;\;\;10^{-9}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 2.79999999999999996e-5Initial program 72.7%
Simplified72.7%
Applied egg-rr72.2%
Taylor expanded in x around 0 67.3%
if 2.79999999999999996e-5 < x Initial program 99.7%
Simplified99.7%
expm1-log1p-u99.7%
log1p-define99.7%
+-commutative99.7%
fma-undefine99.7%
expm1-undefine99.7%
add-exp-log99.7%
add-sqr-sqrt99.7%
fabs-sqr99.7%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
fma-undefine99.7%
associate--l+99.7%
metadata-eval99.7%
metadata-eval99.7%
distribute-lft-in99.7%
+-rgt-identity99.7%
*-commutative99.7%
Simplified99.7%
Taylor expanded in x around 0 99.8%
associate--l+99.7%
sub-neg99.7%
associate-*r/99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-define99.7%
rem-square-sqrt99.7%
fabs-sqr99.7%
rem-square-sqrt99.7%
associate-*r/99.7%
metadata-eval99.7%
distribute-neg-frac99.7%
metadata-eval99.7%
+-commutative99.7%
*-commutative99.7%
fma-define99.7%
Simplified99.7%
expm1-log1p-u99.7%
log1p-define99.7%
+-commutative99.7%
fma-undefine99.7%
expm1-undefine99.7%
add-exp-log99.7%
add-sqr-sqrt99.7%
fabs-sqr99.7%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
fma-undefine99.7%
associate--l+99.7%
metadata-eval99.7%
metadata-eval99.7%
distribute-lft-in99.7%
+-rgt-identity99.7%
*-commutative99.7%
Simplified99.7%
Taylor expanded in x around inf 98.8%
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 80.3%
Simplified80.3%
Applied egg-rr79.9%
Taylor expanded in x around 0 51.5%
herbie shell --seed 2024150
(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)))))))