
(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 12 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}
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911)))
(t_1 (/ 1.0 t_0))
(t_2 (exp (- (* x x)))))
(if (<= x -2.5e-17)
(-
1.0
(*
t_1
(*
t_2
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_1
(+ 1.421413741 (* t_1 (+ -1.453152027 (/ 1.061405429 t_0)))))))))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
(/ 1.0 (+ 1.0 (pow (cbrt (* x 0.3275911)) 3.0)))
(*
t_2
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
(/ 1.0 (+ 1.0 (* x 0.3275911)))
(+
(/ 1.061405429 (pow (fma 0.3275911 x 1.0) 2.0))
(+
1.421413741
(/ -1.453152027 (fma 0.3275911 x 1.0)))))))))))))))
double code(double x) {
double t_0 = 1.0 + (fabs(x) * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_1 * (t_2 * (0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - ((1.0 / (1.0 + pow(cbrt((x * 0.3275911)), 3.0))) * (t_2 * (0.254829592 + (t_1 * (-0.284496736 + ((1.0 / (1.0 + (x * 0.3275911))) * ((1.061405429 / pow(fma(0.3275911, x, 1.0), 2.0)) + (1.421413741 + (-1.453152027 / fma(0.3275911, x, 1.0))))))))));
}
return tmp;
}
function code(x) t_0 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_1 = Float64(1.0 / t_0) t_2 = exp(Float64(-Float64(x * x))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 - Float64(t_1 * Float64(t_2 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_1 * Float64(1.421413741 + Float64(t_1 * Float64(-1.453152027 + Float64(1.061405429 / t_0))))))))))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(Float64(1.0 / Float64(1.0 + (cbrt(Float64(x * 0.3275911)) ^ 3.0))) * Float64(t_2 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(Float64(1.0 / Float64(1.0 + Float64(x * 0.3275911))) * Float64(Float64(1.061405429 / (fma(0.3275911, x, 1.0) ^ 2.0)) + Float64(1.421413741 + Float64(-1.453152027 / fma(0.3275911, x, 1.0))))))))))); end return tmp end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 - N[(t$95$1 * N[(t$95$2 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$1 * N[(1.421413741 + N[(t$95$1 * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(N[(1.0 / N[(1.0 + N[Power[N[Power[N[(x * 0.3275911), $MachinePrecision], 1/3], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(N[(1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.061405429 / N[Power[N[(0.3275911 * x + 1.0), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] + N[(1.421413741 + N[(-1.453152027 / N[(0.3275911 * x + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \left|x\right| \cdot 0.3275911\\
t_1 := \frac{1}{t_0}\\
t_2 := e^{-x \cdot x}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 - t_1 \cdot \left(t_2 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_1 \cdot \left(1.421413741 + t_1 \cdot \left(-1.453152027 + \frac{1.061405429}{t_0}\right)\right)\right)\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{1}{1 + {\left(\sqrt[3]{x \cdot 0.3275911}\right)}^{3}} \cdot \left(t_2 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + \frac{1}{1 + x \cdot 0.3275911} \cdot \left(\frac{1.061405429}{{\left(\mathsf{fma}\left(0.3275911, x, 1\right)\right)}^{2}} + \left(1.421413741 + \frac{-1.453152027}{\mathsf{fma}\left(0.3275911, x, 1\right)}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
if -2.4999999999999999e-17 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
Taylor expanded in x around 0 99.8%
cancel-sign-sub-inv99.8%
+-commutative99.8%
+-commutative99.8%
+-commutative99.8%
distribute-lft-neg-in99.8%
associate-+l+99.8%
Simplified99.7%
add-cube-cbrt99.8%
pow399.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.8%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(if (<= (fabs x) 2e-11)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
(/
(-
(+
(+ 0.254829592 (/ 1.061405429 (pow t_0 4.0)))
(- (/ 1.421413741 (pow t_0 2.0)) (/ 0.284496736 t_0)))
(/ 1.453152027 (pow t_0 3.0)))
t_0)
(exp (- (* x x))))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double tmp;
if (fabs(x) <= 2e-11) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (((((0.254829592 + (1.061405429 / pow(t_0, 4.0))) + ((1.421413741 / pow(t_0, 2.0)) - (0.284496736 / t_0))) - (1.453152027 / pow(t_0, 3.0))) / t_0) * exp(-(x * x)));
}
return tmp;
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) tmp = 0.0 if (abs(x) <= 2e-11) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(Float64(Float64(Float64(Float64(0.254829592 + Float64(1.061405429 / (t_0 ^ 4.0))) + Float64(Float64(1.421413741 / (t_0 ^ 2.0)) - Float64(0.284496736 / t_0))) - Float64(1.453152027 / (t_0 ^ 3.0))) / t_0) * exp(Float64(-Float64(x * x))))); end return tmp end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 2e-11], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(N[(N[(N[(N[(0.254829592 + N[(1.061405429 / N[Power[t$95$0, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(1.421413741 / N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] - N[(0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(1.453152027 / N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision]), $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(0.3275911, \left|x\right|, 1\right)\\
\mathbf{if}\;\left|x\right| \leq 2 \cdot 10^{-11}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{\left(\left(0.254829592 + \frac{1.061405429}{{t_0}^{4}}\right) + \left(\frac{1.421413741}{{t_0}^{2}} - \frac{0.284496736}{t_0}\right)\right) - \frac{1.453152027}{{t_0}^{3}}}{t_0} \cdot e^{-x \cdot x}\\
\end{array}
\end{array}
if (fabs.f64 x) < 1.99999999999999988e-11Initial program 57.6%
associate-*l*57.6%
Simplified57.6%
add-exp-log57.6%
sub-neg57.6%
Applied egg-rr57.5%
associate-/l*57.5%
associate-/r/57.5%
distribute-lft-neg-in57.5%
exp-prod57.5%
Simplified57.5%
Taylor expanded in x around 0 99.5%
*-commutative99.5%
Simplified99.5%
if 1.99999999999999988e-11 < (fabs.f64 x) Initial program 99.5%
associate-*l*99.5%
Simplified99.5%
Taylor expanded in x around inf 99.5%
Simplified99.6%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911))) (t_1 (/ 1.0 t_0)))
(if (<= (fabs x) 2e-11)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
(*
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_1
(-
1.421413741
(+
(* 1.453152027 t_1)
(* 1.061405429 (/ -1.0 (pow t_0 2.0)))))))))
(exp (- (* x x))))
(/ -1.0 t_0))))))
double code(double x) {
double t_0 = 1.0 + (fabs(x) * 0.3275911);
double t_1 = 1.0 / t_0;
double tmp;
if (fabs(x) <= 2e-11) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (((0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 - ((1.453152027 * t_1) + (1.061405429 * (-1.0 / pow(t_0, 2.0))))))))) * exp(-(x * x))) * (-1.0 / t_0));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: tmp
t_0 = 1.0d0 + (abs(x) * 0.3275911d0)
t_1 = 1.0d0 / t_0
if (abs(x) <= 2d-11) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 + (((0.254829592d0 + (t_1 * ((-0.284496736d0) + (t_1 * (1.421413741d0 - ((1.453152027d0 * t_1) + (1.061405429d0 * ((-1.0d0) / (t_0 ** 2.0d0))))))))) * exp(-(x * x))) * ((-1.0d0) / t_0))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 + (Math.abs(x) * 0.3275911);
double t_1 = 1.0 / t_0;
double tmp;
if (Math.abs(x) <= 2e-11) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (((0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 - ((1.453152027 * t_1) + (1.061405429 * (-1.0 / Math.pow(t_0, 2.0))))))))) * Math.exp(-(x * x))) * (-1.0 / t_0));
}
return tmp;
}
def code(x): t_0 = 1.0 + (math.fabs(x) * 0.3275911) t_1 = 1.0 / t_0 tmp = 0 if math.fabs(x) <= 2e-11: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + (((0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 - ((1.453152027 * t_1) + (1.061405429 * (-1.0 / math.pow(t_0, 2.0))))))))) * math.exp(-(x * x))) * (-1.0 / t_0)) return tmp
function code(x) t_0 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_1 = Float64(1.0 / t_0) tmp = 0.0 if (abs(x) <= 2e-11) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(Float64(Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_1 * Float64(1.421413741 - Float64(Float64(1.453152027 * t_1) + Float64(1.061405429 * Float64(-1.0 / (t_0 ^ 2.0))))))))) * exp(Float64(-Float64(x * x)))) * Float64(-1.0 / t_0))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (abs(x) * 0.3275911); t_1 = 1.0 / t_0; tmp = 0.0; if (abs(x) <= 2e-11) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 + (((0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 - ((1.453152027 * t_1) + (1.061405429 * (-1.0 / (t_0 ^ 2.0))))))))) * exp(-(x * x))) * (-1.0 / t_0)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 2e-11], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$1 * N[(1.421413741 - N[(N[(1.453152027 * t$95$1), $MachinePrecision] + N[(1.061405429 * N[(-1.0 / N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \left|x\right| \cdot 0.3275911\\
t_1 := \frac{1}{t_0}\\
\mathbf{if}\;\left|x\right| \leq 2 \cdot 10^{-11}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + \left(\left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_1 \cdot \left(1.421413741 - \left(1.453152027 \cdot t_1 + 1.061405429 \cdot \frac{-1}{{t_0}^{2}}\right)\right)\right)\right) \cdot e^{-x \cdot x}\right) \cdot \frac{-1}{t_0}\\
\end{array}
\end{array}
if (fabs.f64 x) < 1.99999999999999988e-11Initial program 57.6%
associate-*l*57.6%
Simplified57.6%
add-exp-log57.6%
sub-neg57.6%
Applied egg-rr57.5%
associate-/l*57.5%
associate-/r/57.5%
distribute-lft-neg-in57.5%
exp-prod57.5%
Simplified57.5%
Taylor expanded in x around 0 99.5%
*-commutative99.5%
Simplified99.5%
if 1.99999999999999988e-11 < (fabs.f64 x) Initial program 99.5%
associate-*l*99.5%
Simplified99.5%
Taylor expanded in x around 0 99.5%
associate--l+99.6%
associate-*r/99.6%
+-commutative99.6%
metadata-eval99.6%
+-commutative99.6%
fma-def99.6%
associate-*r/99.5%
metadata-eval99.5%
fma-def99.5%
Simplified99.5%
Taylor expanded in x around 0 99.6%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911)))
(t_1 (/ 1.0 t_0))
(t_2 (/ 1.0 (+ 1.0 (* x 0.3275911))))
(t_3 (exp (- (* x x)))))
(if (<= x -2.5e-17)
(-
1.0
(*
t_1
(*
t_3
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_1
(+ 1.421413741 (* t_1 (+ -1.453152027 (/ 1.061405429 t_0)))))))))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
t_1
(*
t_3
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_2
(+
1.421413741
(*
t_2
(fma
1.061405429
(/ 1.0 (fma 0.3275911 x 1.0))
-1.453152027))))))))))))))
double code(double x) {
double t_0 = 1.0 + (fabs(x) * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = 1.0 / (1.0 + (x * 0.3275911));
double t_3 = exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_1 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_1 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_1 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * (1.421413741 + (t_2 * fma(1.061405429, (1.0 / fma(0.3275911, x, 1.0)), -1.453152027)))))))));
}
return tmp;
}
function code(x) t_0 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_1 = Float64(1.0 / t_0) t_2 = Float64(1.0 / Float64(1.0 + Float64(x * 0.3275911))) t_3 = exp(Float64(-Float64(x * x))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 - Float64(t_1 * Float64(t_3 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_1 * Float64(1.421413741 + Float64(t_1 * Float64(-1.453152027 + Float64(1.061405429 / t_0))))))))))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(t_1 * Float64(t_3 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_2 * Float64(1.421413741 + Float64(t_2 * fma(1.061405429, Float64(1.0 / fma(0.3275911, x, 1.0)), -1.453152027)))))))))); end return tmp end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 - N[(t$95$1 * N[(t$95$3 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$1 * N[(1.421413741 + N[(t$95$1 * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(t$95$1 * N[(t$95$3 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$2 * N[(1.421413741 + N[(t$95$2 * N[(1.061405429 * N[(1.0 / N[(0.3275911 * x + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \left|x\right| \cdot 0.3275911\\
t_1 := \frac{1}{t_0}\\
t_2 := \frac{1}{1 + x \cdot 0.3275911}\\
t_3 := e^{-x \cdot x}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 - t_1 \cdot \left(t_3 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_1 \cdot \left(1.421413741 + t_1 \cdot \left(-1.453152027 + \frac{1.061405429}{t_0}\right)\right)\right)\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - t_1 \cdot \left(t_3 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_2 \cdot \left(1.421413741 + t_2 \cdot \mathsf{fma}\left(1.061405429, \frac{1}{\mathsf{fma}\left(0.3275911, x, 1\right)}, -1.453152027\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
if -2.4999999999999999e-17 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
+-commutative99.7%
div-inv99.7%
fma-def99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.8%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (exp (- (* x x))))
(t_1 (+ 1.0 (* (fabs x) 0.3275911)))
(t_2 (/ 1.0 t_1))
(t_3 (/ 1.0 (+ 1.0 (* x 0.3275911)))))
(if (<= x -1.7e-16)
(+
1.0
(*
t_2
(*
t_0
(-
(*
(+ -0.284496736 (* t_2 (+ 1.421413741 (* t_3 -0.391746598))))
(/ -1.0 t_1))
0.254829592))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
t_2
(*
t_0
(+
0.254829592
(*
t_2
(+
-0.284496736
(*
t_3
(+
1.421413741
(*
t_3
(fma
1.061405429
(/ 1.0 (fma 0.3275911 x 1.0))
-1.453152027))))))))))))))
double code(double x) {
double t_0 = exp(-(x * x));
double t_1 = 1.0 + (fabs(x) * 0.3275911);
double t_2 = 1.0 / t_1;
double t_3 = 1.0 / (1.0 + (x * 0.3275911));
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_0 * (((-0.284496736 + (t_2 * (1.421413741 + (t_3 * -0.391746598)))) * (-1.0 / t_1)) - 0.254829592)));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_2 * (t_0 * (0.254829592 + (t_2 * (-0.284496736 + (t_3 * (1.421413741 + (t_3 * fma(1.061405429, (1.0 / fma(0.3275911, x, 1.0)), -1.453152027)))))))));
}
return tmp;
}
function code(x) t_0 = exp(Float64(-Float64(x * x))) t_1 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_2 = Float64(1.0 / t_1) t_3 = Float64(1.0 / Float64(1.0 + Float64(x * 0.3275911))) tmp = 0.0 if (x <= -1.7e-16) tmp = Float64(1.0 + Float64(t_2 * Float64(t_0 * Float64(Float64(Float64(-0.284496736 + Float64(t_2 * Float64(1.421413741 + Float64(t_3 * -0.391746598)))) * Float64(-1.0 / t_1)) - 0.254829592)))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(t_2 * Float64(t_0 * Float64(0.254829592 + Float64(t_2 * Float64(-0.284496736 + Float64(t_3 * Float64(1.421413741 + Float64(t_3 * fma(1.061405429, Float64(1.0 / fma(0.3275911, x, 1.0)), -1.453152027)))))))))); end return tmp end
code[x_] := Block[{t$95$0 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, Block[{t$95$1 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -1.7e-16], N[(1.0 + N[(t$95$2 * N[(t$95$0 * N[(N[(N[(-0.284496736 + N[(t$95$2 * N[(1.421413741 + N[(t$95$3 * -0.391746598), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$1), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(t$95$2 * N[(t$95$0 * N[(0.254829592 + N[(t$95$2 * N[(-0.284496736 + N[(t$95$3 * N[(1.421413741 + N[(t$95$3 * N[(1.061405429 * N[(1.0 / N[(0.3275911 * x + 1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{-x \cdot x}\\
t_1 := 1 + \left|x\right| \cdot 0.3275911\\
t_2 := \frac{1}{t_1}\\
t_3 := \frac{1}{1 + x \cdot 0.3275911}\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;1 + t_2 \cdot \left(t_0 \cdot \left(\left(-0.284496736 + t_2 \cdot \left(1.421413741 + t_3 \cdot -0.391746598\right)\right) \cdot \frac{-1}{t_1} - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - t_2 \cdot \left(t_0 \cdot \left(0.254829592 + t_2 \cdot \left(-0.284496736 + t_3 \cdot \left(1.421413741 + t_3 \cdot \mathsf{fma}\left(1.061405429, \frac{1}{\mathsf{fma}\left(0.3275911, x, 1\right)}, -1.453152027\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -1.7e-16Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
+-commutative98.1%
div-inv98.1%
fma-def98.1%
+-commutative98.1%
fma-def98.1%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.1%
Applied egg-rr98.1%
Taylor expanded in x around 0 98.2%
if -1.7e-16 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
+-commutative99.7%
div-inv99.7%
fma-def99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.8%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.8%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (exp (- (* x x))))
(t_2 (+ 1.0 (* (fabs x) 0.3275911)))
(t_3 (/ 1.0 t_2))
(t_4 (/ 1.0 t_0)))
(if (<= x -1.7e-16)
(+
1.0
(*
t_3
(*
t_1
(-
(*
(+ -0.284496736 (* t_3 (+ 1.421413741 (* t_4 -0.391746598))))
(/ -1.0 t_2))
0.254829592))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
t_3
(*
t_1
(+
0.254829592
(*
t_4
(+
-0.284496736
(*
t_3
(+
1.421413741
(* t_4 (+ -1.453152027 (/ 1.061405429 t_0)))))))))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = exp(-(x * x));
double t_2 = 1.0 + (fabs(x) * 0.3275911);
double t_3 = 1.0 / t_2;
double t_4 = 1.0 / t_0;
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_3 * (t_1 * (((-0.284496736 + (t_3 * (1.421413741 + (t_4 * -0.391746598)))) * (-1.0 / t_2)) - 0.254829592)));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_3 * (t_1 * (0.254829592 + (t_4 * (-0.284496736 + (t_3 * (1.421413741 + (t_4 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = 1.0d0 + (x * 0.3275911d0)
t_1 = exp(-(x * x))
t_2 = 1.0d0 + (abs(x) * 0.3275911d0)
t_3 = 1.0d0 / t_2
t_4 = 1.0d0 / t_0
if (x <= (-1.7d-16)) then
tmp = 1.0d0 + (t_3 * (t_1 * ((((-0.284496736d0) + (t_3 * (1.421413741d0 + (t_4 * (-0.391746598d0))))) * ((-1.0d0) / t_2)) - 0.254829592d0)))
else if (x <= 1.65d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 - (t_3 * (t_1 * (0.254829592d0 + (t_4 * ((-0.284496736d0) + (t_3 * (1.421413741d0 + (t_4 * ((-1.453152027d0) + (1.061405429d0 / t_0))))))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = Math.exp(-(x * x));
double t_2 = 1.0 + (Math.abs(x) * 0.3275911);
double t_3 = 1.0 / t_2;
double t_4 = 1.0 / t_0;
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_3 * (t_1 * (((-0.284496736 + (t_3 * (1.421413741 + (t_4 * -0.391746598)))) * (-1.0 / t_2)) - 0.254829592)));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_3 * (t_1 * (0.254829592 + (t_4 * (-0.284496736 + (t_3 * (1.421413741 + (t_4 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = math.exp(-(x * x)) t_2 = 1.0 + (math.fabs(x) * 0.3275911) t_3 = 1.0 / t_2 t_4 = 1.0 / t_0 tmp = 0 if x <= -1.7e-16: tmp = 1.0 + (t_3 * (t_1 * (((-0.284496736 + (t_3 * (1.421413741 + (t_4 * -0.391746598)))) * (-1.0 / t_2)) - 0.254829592))) elif x <= 1.65e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 - (t_3 * (t_1 * (0.254829592 + (t_4 * (-0.284496736 + (t_3 * (1.421413741 + (t_4 * (-1.453152027 + (1.061405429 / t_0)))))))))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = exp(Float64(-Float64(x * x))) t_2 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_3 = Float64(1.0 / t_2) t_4 = Float64(1.0 / t_0) tmp = 0.0 if (x <= -1.7e-16) tmp = Float64(1.0 + Float64(t_3 * Float64(t_1 * Float64(Float64(Float64(-0.284496736 + Float64(t_3 * Float64(1.421413741 + Float64(t_4 * -0.391746598)))) * Float64(-1.0 / t_2)) - 0.254829592)))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(t_3 * Float64(t_1 * Float64(0.254829592 + Float64(t_4 * Float64(-0.284496736 + Float64(t_3 * Float64(1.421413741 + Float64(t_4 * Float64(-1.453152027 + Float64(1.061405429 / t_0))))))))))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = exp(-(x * x)); t_2 = 1.0 + (abs(x) * 0.3275911); t_3 = 1.0 / t_2; t_4 = 1.0 / t_0; tmp = 0.0; if (x <= -1.7e-16) tmp = 1.0 + (t_3 * (t_1 * (((-0.284496736 + (t_3 * (1.421413741 + (t_4 * -0.391746598)))) * (-1.0 / t_2)) - 0.254829592))); elseif (x <= 1.65e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 - (t_3 * (t_1 * (0.254829592 + (t_4 * (-0.284496736 + (t_3 * (1.421413741 + (t_4 * (-1.453152027 + (1.061405429 / t_0)))))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 / t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / t$95$0), $MachinePrecision]}, If[LessEqual[x, -1.7e-16], N[(1.0 + N[(t$95$3 * N[(t$95$1 * N[(N[(N[(-0.284496736 + N[(t$95$3 * N[(1.421413741 + N[(t$95$4 * -0.391746598), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$2), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(t$95$3 * N[(t$95$1 * N[(0.254829592 + N[(t$95$4 * N[(-0.284496736 + N[(t$95$3 * N[(1.421413741 + N[(t$95$4 * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := e^{-x \cdot x}\\
t_2 := 1 + \left|x\right| \cdot 0.3275911\\
t_3 := \frac{1}{t_2}\\
t_4 := \frac{1}{t_0}\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;1 + t_3 \cdot \left(t_1 \cdot \left(\left(-0.284496736 + t_3 \cdot \left(1.421413741 + t_4 \cdot -0.391746598\right)\right) \cdot \frac{-1}{t_2} - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - t_3 \cdot \left(t_1 \cdot \left(0.254829592 + t_4 \cdot \left(-0.284496736 + t_3 \cdot \left(1.421413741 + t_4 \cdot \left(-1.453152027 + \frac{1.061405429}{t_0}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -1.7e-16Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
+-commutative98.1%
div-inv98.1%
fma-def98.1%
+-commutative98.1%
fma-def98.1%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.1%
Applied egg-rr98.1%
Taylor expanded in x around 0 98.2%
if -1.7e-16 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (/ 1.0 t_0))
(t_2 (+ 1.0 (* (fabs x) 0.3275911)))
(t_3 (/ 1.0 t_2))
(t_4 (exp (- (* x x)))))
(if (<= x -2.5e-17)
(-
1.0
(*
t_3
(* t_4 (+ 0.254829592 (/ (- (* t_3 1.029667143) 0.284496736) t_2)))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
t_3
(*
t_4
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_3
(+
1.421413741
(* t_1 (+ -1.453152027 (/ 1.061405429 t_0)))))))))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = 1.0 + (fabs(x) * 0.3275911);
double t_3 = 1.0 / t_2;
double t_4 = exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (((t_3 * 1.029667143) - 0.284496736) / t_2))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (t_1 * (-0.284496736 + (t_3 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_0 = 1.0d0 + (x * 0.3275911d0)
t_1 = 1.0d0 / t_0
t_2 = 1.0d0 + (abs(x) * 0.3275911d0)
t_3 = 1.0d0 / t_2
t_4 = exp(-(x * x))
if (x <= (-2.5d-17)) then
tmp = 1.0d0 - (t_3 * (t_4 * (0.254829592d0 + (((t_3 * 1.029667143d0) - 0.284496736d0) / t_2))))
else if (x <= 1.65d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 - (t_3 * (t_4 * (0.254829592d0 + (t_1 * ((-0.284496736d0) + (t_3 * (1.421413741d0 + (t_1 * ((-1.453152027d0) + (1.061405429d0 / t_0))))))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = 1.0 + (Math.abs(x) * 0.3275911);
double t_3 = 1.0 / t_2;
double t_4 = Math.exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (((t_3 * 1.029667143) - 0.284496736) / t_2))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (t_1 * (-0.284496736 + (t_3 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = 1.0 / t_0 t_2 = 1.0 + (math.fabs(x) * 0.3275911) t_3 = 1.0 / t_2 t_4 = math.exp(-(x * x)) tmp = 0 if x <= -2.5e-17: tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (((t_3 * 1.029667143) - 0.284496736) / t_2)))) elif x <= 1.65e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (t_1 * (-0.284496736 + (t_3 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0)))))))))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = Float64(1.0 / t_0) t_2 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_3 = Float64(1.0 / t_2) t_4 = exp(Float64(-Float64(x * x))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 - Float64(t_3 * Float64(t_4 * Float64(0.254829592 + Float64(Float64(Float64(t_3 * 1.029667143) - 0.284496736) / t_2))))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(t_3 * Float64(t_4 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_3 * Float64(1.421413741 + Float64(t_1 * Float64(-1.453152027 + Float64(1.061405429 / t_0))))))))))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = 1.0 / t_0; t_2 = 1.0 + (abs(x) * 0.3275911); t_3 = 1.0 / t_2; t_4 = exp(-(x * x)); tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (((t_3 * 1.029667143) - 0.284496736) / t_2)))); elseif (x <= 1.65e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 - (t_3 * (t_4 * (0.254829592 + (t_1 * (-0.284496736 + (t_3 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0)))))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 / t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 - N[(t$95$3 * N[(t$95$4 * N[(0.254829592 + N[(N[(N[(t$95$3 * 1.029667143), $MachinePrecision] - 0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(t$95$3 * N[(t$95$4 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$3 * N[(1.421413741 + N[(t$95$1 * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := \frac{1}{t_0}\\
t_2 := 1 + \left|x\right| \cdot 0.3275911\\
t_3 := \frac{1}{t_2}\\
t_4 := e^{-x \cdot x}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 - t_3 \cdot \left(t_4 \cdot \left(0.254829592 + \frac{t_3 \cdot 1.029667143 - 0.284496736}{t_2}\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - t_3 \cdot \left(t_4 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_3 \cdot \left(1.421413741 + t_1 \cdot \left(-1.453152027 + \frac{1.061405429}{t_0}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
+-commutative98.1%
div-inv98.1%
fma-def98.1%
+-commutative98.1%
fma-def98.1%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.1%
Applied egg-rr98.1%
Taylor expanded in x around 0 98.1%
Taylor expanded in x around inf 98.1%
if -2.4999999999999999e-17 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (/ 1.0 t_0))
(t_2 (/ 1.0 (+ 1.0 (* (fabs x) 0.3275911))))
(t_3 (exp (- (* x x)))))
(if (<= x -2.5e-17)
(-
1.0
(*
t_2
(* t_3 (+ 0.254829592 (* t_1 (+ -0.284496736 (* t_2 1.029667143)))))))
(if (<= x 1.65e-6)
(+ 1e-9 (* x 1.128386358070218))
(-
1.0
(*
t_2
(*
t_3
(+
0.254829592
(*
t_1
(+
-0.284496736
(*
t_2
(+
1.421413741
(* t_1 (+ -1.453152027 (/ 1.061405429 t_0)))))))))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = 1.0 / (1.0 + (fabs(x) * 0.3275911));
double t_3 = exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * 1.029667143))))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: tmp
t_0 = 1.0d0 + (x * 0.3275911d0)
t_1 = 1.0d0 / t_0
t_2 = 1.0d0 / (1.0d0 + (abs(x) * 0.3275911d0))
t_3 = exp(-(x * x))
if (x <= (-2.5d-17)) then
tmp = 1.0d0 - (t_2 * (t_3 * (0.254829592d0 + (t_1 * ((-0.284496736d0) + (t_2 * 1.029667143d0))))))
else if (x <= 1.65d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 - (t_2 * (t_3 * (0.254829592d0 + (t_1 * ((-0.284496736d0) + (t_2 * (1.421413741d0 + (t_1 * ((-1.453152027d0) + (1.061405429d0 / t_0))))))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 / t_0;
double t_2 = 1.0 / (1.0 + (Math.abs(x) * 0.3275911));
double t_3 = Math.exp(-(x * x));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * 1.029667143))))));
} else if (x <= 1.65e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0))))))))));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = 1.0 / t_0 t_2 = 1.0 / (1.0 + (math.fabs(x) * 0.3275911)) t_3 = math.exp(-(x * x)) tmp = 0 if x <= -2.5e-17: tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * 1.029667143)))))) elif x <= 1.65e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0)))))))))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = Float64(1.0 / t_0) t_2 = Float64(1.0 / Float64(1.0 + Float64(abs(x) * 0.3275911))) t_3 = exp(Float64(-Float64(x * x))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 - Float64(t_2 * Float64(t_3 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_2 * 1.029667143))))))); elseif (x <= 1.65e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 - Float64(t_2 * Float64(t_3 * Float64(0.254829592 + Float64(t_1 * Float64(-0.284496736 + Float64(t_2 * Float64(1.421413741 + Float64(t_1 * Float64(-1.453152027 + Float64(1.061405429 / t_0))))))))))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = 1.0 / t_0; t_2 = 1.0 / (1.0 + (abs(x) * 0.3275911)); t_3 = exp(-(x * x)); tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * 1.029667143)))))); elseif (x <= 1.65e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 - (t_2 * (t_3 * (0.254829592 + (t_1 * (-0.284496736 + (t_2 * (1.421413741 + (t_1 * (-1.453152027 + (1.061405429 / t_0)))))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(1.0 / N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 - N[(t$95$2 * N[(t$95$3 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$2 * 1.029667143), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.65e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 - N[(t$95$2 * N[(t$95$3 * N[(0.254829592 + N[(t$95$1 * N[(-0.284496736 + N[(t$95$2 * N[(1.421413741 + N[(t$95$1 * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := \frac{1}{t_0}\\
t_2 := \frac{1}{1 + \left|x\right| \cdot 0.3275911}\\
t_3 := e^{-x \cdot x}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 - t_2 \cdot \left(t_3 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_2 \cdot 1.029667143\right)\right)\right)\\
\mathbf{elif}\;x \leq 1.65 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 - t_2 \cdot \left(t_3 \cdot \left(0.254829592 + t_1 \cdot \left(-0.284496736 + t_2 \cdot \left(1.421413741 + t_1 \cdot \left(-1.453152027 + \frac{1.061405429}{t_0}\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
+-commutative98.1%
div-inv98.1%
fma-def98.1%
+-commutative98.1%
fma-def98.1%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.1%
Applied egg-rr98.1%
Taylor expanded in x around 0 98.1%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
if -2.4999999999999999e-17 < x < 1.65000000000000008e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-exp-log57.7%
sub-neg57.7%
Applied egg-rr57.7%
associate-/l*57.7%
associate-/r/57.7%
distribute-lft-neg-in57.7%
exp-prod57.7%
Simplified57.7%
Taylor expanded in x around 0 100.0%
*-commutative100.0%
Simplified100.0%
if 1.65000000000000008e-6 < x Initial program 99.7%
associate-*l*99.7%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
expm1-log1p-u99.8%
expm1-udef99.8%
log1p-udef99.8%
add-exp-log99.8%
+-commutative99.8%
fma-def99.8%
add-sqr-sqrt99.8%
fabs-sqr99.8%
add-sqr-sqrt99.8%
Applied egg-rr99.7%
fma-udef99.8%
associate--l+99.8%
metadata-eval99.8%
+-rgt-identity99.8%
Simplified99.7%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ 1.0 (* (fabs x) 0.3275911)))))
(if (<= x -2.5e-17)
(-
1.0
(*
t_0
(*
(exp (- (* x x)))
(+
0.254829592
(*
(/ 1.0 (+ 1.0 (* x 0.3275911)))
(+ -0.284496736 (* t_0 1.029667143)))))))
(if (<= x 0.88) (+ 1e-9 (* x 1.128386358070218)) 1.0))))
double code(double x) {
double t_0 = 1.0 / (1.0 + (fabs(x) * 0.3275911));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_0 * (exp(-(x * x)) * (0.254829592 + ((1.0 / (1.0 + (x * 0.3275911))) * (-0.284496736 + (t_0 * 1.029667143))))));
} else if (x <= 0.88) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = 1.0d0 / (1.0d0 + (abs(x) * 0.3275911d0))
if (x <= (-2.5d-17)) then
tmp = 1.0d0 - (t_0 * (exp(-(x * x)) * (0.254829592d0 + ((1.0d0 / (1.0d0 + (x * 0.3275911d0))) * ((-0.284496736d0) + (t_0 * 1.029667143d0))))))
else if (x <= 0.88d0) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 / (1.0 + (Math.abs(x) * 0.3275911));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 - (t_0 * (Math.exp(-(x * x)) * (0.254829592 + ((1.0 / (1.0 + (x * 0.3275911))) * (-0.284496736 + (t_0 * 1.029667143))))));
} else if (x <= 0.88) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
def code(x): t_0 = 1.0 / (1.0 + (math.fabs(x) * 0.3275911)) tmp = 0 if x <= -2.5e-17: tmp = 1.0 - (t_0 * (math.exp(-(x * x)) * (0.254829592 + ((1.0 / (1.0 + (x * 0.3275911))) * (-0.284496736 + (t_0 * 1.029667143)))))) elif x <= 0.88: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 return tmp
function code(x) t_0 = Float64(1.0 / Float64(1.0 + Float64(abs(x) * 0.3275911))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 - Float64(t_0 * Float64(exp(Float64(-Float64(x * x))) * Float64(0.254829592 + Float64(Float64(1.0 / Float64(1.0 + Float64(x * 0.3275911))) * Float64(-0.284496736 + Float64(t_0 * 1.029667143))))))); elseif (x <= 0.88) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = 1.0; end return tmp end
function tmp_2 = code(x) t_0 = 1.0 / (1.0 + (abs(x) * 0.3275911)); tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 - (t_0 * (exp(-(x * x)) * (0.254829592 + ((1.0 / (1.0 + (x * 0.3275911))) * (-0.284496736 + (t_0 * 1.029667143)))))); elseif (x <= 0.88) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 - N[(t$95$0 * N[(N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision] * N[(0.254829592 + N[(N[(1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-0.284496736 + N[(t$95$0 * 1.029667143), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.88], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], 1.0]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{1 + \left|x\right| \cdot 0.3275911}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 - t_0 \cdot \left(e^{-x \cdot x} \cdot \left(0.254829592 + \frac{1}{1 + x \cdot 0.3275911} \cdot \left(-0.284496736 + t_0 \cdot 1.029667143\right)\right)\right)\\
\mathbf{elif}\;x \leq 0.88:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.6%
associate-*l*98.6%
Simplified98.6%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
+-commutative98.1%
div-inv98.1%
fma-def98.1%
+-commutative98.1%
fma-def98.1%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.1%
Applied egg-rr98.1%
Taylor expanded in x around 0 98.1%
expm1-log1p-u98.0%
expm1-udef98.0%
log1p-udef98.0%
add-exp-log98.0%
+-commutative98.0%
fma-def98.0%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt98.0%
Applied egg-rr98.1%
fma-udef98.0%
associate--l+98.0%
metadata-eval98.0%
+-rgt-identity98.0%
Simplified98.1%
if -2.4999999999999999e-17 < x < 0.880000000000000004Initial program 58.2%
associate-*l*58.2%
Simplified58.2%
add-exp-log58.2%
sub-neg58.2%
Applied egg-rr57.1%
associate-/l*57.1%
associate-/r/57.1%
distribute-lft-neg-in57.1%
exp-prod57.1%
Simplified57.1%
Taylor expanded in x around 0 99.0%
*-commutative99.0%
Simplified99.0%
if 0.880000000000000004 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
add-exp-log100.0%
sub-neg100.0%
Applied egg-rr0.0%
associate-/l*0.0%
associate-/r/0.0%
distribute-lft-neg-in0.0%
exp-prod0.0%
Simplified0.0%
Taylor expanded in x around inf 100.0%
Final simplification99.0%
(FPCore (x) :precision binary64 (if (<= x -8.8e-10) 1.0 (if (<= x 0.88) (+ 1e-9 (* x 1.128386358070218)) 1.0)))
double code(double x) {
double tmp;
if (x <= -8.8e-10) {
tmp = 1.0;
} else if (x <= 0.88) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= (-8.8d-10)) then
tmp = 1.0d0
else if (x <= 0.88d0) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= -8.8e-10) {
tmp = 1.0;
} else if (x <= 0.88) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
def code(x): tmp = 0 if x <= -8.8e-10: tmp = 1.0 elif x <= 0.88: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 return tmp
function code(x) tmp = 0.0 if (x <= -8.8e-10) tmp = 1.0; elseif (x <= 0.88) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = 1.0; end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= -8.8e-10) tmp = 1.0; elseif (x <= 0.88) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0; end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -8.8e-10], 1.0, If[LessEqual[x, 0.88], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -8.8 \cdot 10^{-10}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 0.88:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -8.7999999999999996e-10 or 0.880000000000000004 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
add-exp-log100.0%
sub-neg100.0%
Applied egg-rr1.5%
associate-/l*1.5%
associate-/r/1.5%
distribute-lft-neg-in1.5%
exp-prod1.5%
Simplified1.5%
Taylor expanded in x around inf 100.0%
if -8.7999999999999996e-10 < x < 0.880000000000000004Initial program 58.1%
associate-*l*58.1%
Simplified58.1%
add-exp-log58.1%
sub-neg58.1%
Applied egg-rr56.7%
associate-/l*56.7%
associate-/r/56.7%
distribute-lft-neg-in56.7%
exp-prod56.7%
Simplified56.7%
Taylor expanded in x around 0 97.9%
*-commutative97.9%
Simplified97.9%
Final simplification99.0%
(FPCore (x) :precision binary64 (if (<= x -2.85e-5) 1.0 (if (<= x 2.8e-5) 1e-9 1.0)))
double code(double x) {
double tmp;
if (x <= -2.85e-5) {
tmp = 1.0;
} else if (x <= 2.8e-5) {
tmp = 1e-9;
} else {
tmp = 1.0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= (-2.85d-5)) then
tmp = 1.0d0
else if (x <= 2.8d-5) then
tmp = 1d-9
else
tmp = 1.0d0
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= -2.85e-5) {
tmp = 1.0;
} else if (x <= 2.8e-5) {
tmp = 1e-9;
} else {
tmp = 1.0;
}
return tmp;
}
def code(x): tmp = 0 if x <= -2.85e-5: tmp = 1.0 elif x <= 2.8e-5: tmp = 1e-9 else: tmp = 1.0 return tmp
function code(x) tmp = 0.0 if (x <= -2.85e-5) tmp = 1.0; elseif (x <= 2.8e-5) tmp = 1e-9; else tmp = 1.0; end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= -2.85e-5) tmp = 1.0; elseif (x <= 2.8e-5) tmp = 1e-9; else tmp = 1.0; end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -2.85e-5], 1.0, If[LessEqual[x, 2.8e-5], 1e-9, 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -2.85 \cdot 10^{-5}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 2.8 \cdot 10^{-5}:\\
\;\;\;\;10^{-9}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -2.8500000000000002e-5 or 2.79999999999999996e-5 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
add-exp-log99.9%
sub-neg99.9%
Applied egg-rr1.9%
associate-/l*1.9%
associate-/r/1.9%
distribute-lft-neg-in1.9%
exp-prod1.9%
Simplified1.9%
Taylor expanded in x around inf 98.8%
if -2.8500000000000002e-5 < x < 2.79999999999999996e-5Initial program 57.6%
associate-*l*57.6%
Simplified57.6%
add-exp-log57.6%
sub-neg57.6%
Applied egg-rr57.2%
associate-/l*57.2%
associate-/r/57.2%
distribute-lft-neg-in57.2%
exp-prod57.2%
Simplified57.2%
Taylor expanded in x around 0 97.3%
Final simplification98.1%
(FPCore (x) :precision binary64 1e-9)
double code(double x) {
return 1e-9;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1d-9
end function
public static double code(double x) {
return 1e-9;
}
def code(x): return 1e-9
function code(x) return 1e-9 end
function tmp = code(x) tmp = 1e-9; end
code[x_] := 1e-9
\begin{array}{l}
\\
10^{-9}
\end{array}
Initial program 80.1%
associate-*l*80.1%
Simplified80.1%
add-exp-log80.1%
sub-neg80.1%
Applied egg-rr27.8%
associate-/l*27.8%
associate-/r/27.8%
distribute-lft-neg-in27.8%
exp-prod27.8%
Simplified27.8%
Taylor expanded in x around 0 51.5%
Final simplification51.5%
herbie shell --seed 2023172
(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)))))))