
(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 11 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
(let* ((t_0
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ 1.061405429 (fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0))))
(if (<= (fabs x_m) 5e-6)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(pow
(pow
(pow
(pow
(fma
(/
(- -0.016548154869199687 (pow t_0 3.0))
(fma t_0 (+ t_0 -0.254829592) 0.06493812095888646))
(/ (exp (- (pow x_m 2.0))) (fma 0.3275911 (fabs x_m) 1.0))
1.0)
6.0)
0.16666666666666666)
3.0)
0.3333333333333333))))x_m = fabs(x);
double code(double x_m) {
double t_0 = (-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0);
double tmp;
if (fabs(x_m) <= 5e-6) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = pow(pow(pow(pow(fma(((-0.016548154869199687 - pow(t_0, 3.0)) / fma(t_0, (t_0 + -0.254829592), 0.06493812095888646)), (exp(-pow(x_m, 2.0)) / fma(0.3275911, fabs(x_m), 1.0)), 1.0), 6.0), 0.16666666666666666), 3.0), 0.3333333333333333);
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0)) tmp = 0.0 if (abs(x_m) <= 5e-6) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = (((fma(Float64(Float64(-0.016548154869199687 - (t_0 ^ 3.0)) / fma(t_0, Float64(t_0 + -0.254829592), 0.06493812095888646)), Float64(exp(Float64(-(x_m ^ 2.0))) / fma(0.3275911, abs(x_m), 1.0)), 1.0) ^ 6.0) ^ 0.16666666666666666) ^ 3.0) ^ 0.3333333333333333; end return tmp end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 5e-6], 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[Power[N[Power[N[Power[N[Power[N[(N[(N[(-0.016548154869199687 - N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[(t$95$0 + -0.254829592), $MachinePrecision] + 0.06493812095888646), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[(-N[Power[x$95$m, 2.0], $MachinePrecision])], $MachinePrecision] / N[(0.3275911 * N[Abs[x$95$m], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], 6.0], $MachinePrecision], 0.16666666666666666], $MachinePrecision], 3.0], $MachinePrecision], 0.3333333333333333], $MachinePrecision]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}\\
\mathbf{if}\;\left|x\_m\right| \leq 5 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;{\left({\left({\left({\left(\mathsf{fma}\left(\frac{-0.016548154869199687 - {t\_0}^{3}}{\mathsf{fma}\left(t\_0, t\_0 + -0.254829592, 0.06493812095888646\right)}, \frac{e^{-{x\_m}^{2}}}{\mathsf{fma}\left(0.3275911, \left|x\_m\right|, 1\right)}, 1\right)\right)}^{6}\right)}^{0.16666666666666666}\right)}^{3}\right)}^{0.3333333333333333}\\
\end{array}
\end{array}
if (fabs.f64 x) < 5.00000000000000041e-6Initial program 57.8%
Simplified57.8%
associate-/l/57.9%
clear-num55.6%
inv-pow55.6%
Applied egg-rr54.2%
unpow-154.2%
associate-/r/54.2%
Simplified54.2%
Taylor expanded in x around 0 97.4%
if 5.00000000000000041e-6 < (fabs.f64 x) Initial program 99.9%
Simplified100.0%
flip3--99.9%
Applied egg-rr99.3%
Simplified99.3%
add-cbrt-cube99.3%
Applied egg-rr99.3%
pow199.3%
metadata-eval99.3%
pow-pow99.3%
Applied egg-rr99.4%
Final simplification98.5%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ 1.061405429 (fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0))))
(if (<= (fabs x_m) 5e-6)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(pow
(pow
(fma
(/
(- -0.016548154869199687 (pow t_0 3.0))
(fma t_0 (+ t_0 -0.254829592) 0.06493812095888646))
(/ (exp (- (pow x_m 2.0))) (fma 0.3275911 x_m 1.0))
1.0)
3.0)
0.3333333333333333))))x_m = fabs(x);
double code(double x_m) {
double t_0 = (-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0);
double tmp;
if (fabs(x_m) <= 5e-6) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = pow(pow(fma(((-0.016548154869199687 - pow(t_0, 3.0)) / fma(t_0, (t_0 + -0.254829592), 0.06493812095888646)), (exp(-pow(x_m, 2.0)) / fma(0.3275911, x_m, 1.0)), 1.0), 3.0), 0.3333333333333333);
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0)) tmp = 0.0 if (abs(x_m) <= 5e-6) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = (fma(Float64(Float64(-0.016548154869199687 - (t_0 ^ 3.0)) / fma(t_0, Float64(t_0 + -0.254829592), 0.06493812095888646)), Float64(exp(Float64(-(x_m ^ 2.0))) / fma(0.3275911, x_m, 1.0)), 1.0) ^ 3.0) ^ 0.3333333333333333; end return tmp end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 5e-6], 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[Power[N[Power[N[(N[(N[(-0.016548154869199687 - N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[(t$95$0 + -0.254829592), $MachinePrecision] + 0.06493812095888646), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[(-N[Power[x$95$m, 2.0], $MachinePrecision])], $MachinePrecision] / N[(0.3275911 * x$95$m + 1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision], 3.0], $MachinePrecision], 0.3333333333333333], $MachinePrecision]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}\\
\mathbf{if}\;\left|x\_m\right| \leq 5 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot \left(x\_m \cdot -0.37545125292247583 - 0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;{\left({\left(\mathsf{fma}\left(\frac{-0.016548154869199687 - {t\_0}^{3}}{\mathsf{fma}\left(t\_0, t\_0 + -0.254829592, 0.06493812095888646\right)}, \frac{e^{-{x\_m}^{2}}}{\mathsf{fma}\left(0.3275911, x\_m, 1\right)}, 1\right)\right)}^{3}\right)}^{0.3333333333333333}\\
\end{array}
\end{array}
if (fabs.f64 x) < 5.00000000000000041e-6Initial program 57.8%
Simplified57.8%
associate-/l/57.9%
clear-num55.6%
inv-pow55.6%
Applied egg-rr54.2%
unpow-154.2%
associate-/r/54.2%
Simplified54.2%
Taylor expanded in x around 0 97.4%
if 5.00000000000000041e-6 < (fabs.f64 x) Initial program 99.9%
Simplified100.0%
flip3--99.9%
Applied egg-rr99.3%
Simplified99.3%
add-cbrt-cube99.3%
Applied egg-rr99.3%
add-sqr-sqrt47.4%
fabs-sqr47.4%
add-sqr-sqrt99.3%
add-log-exp99.3%
*-un-lft-identity99.3%
log-prod99.3%
metadata-eval99.3%
add-log-exp99.3%
Applied egg-rr99.3%
+-lft-identity99.3%
Simplified99.3%
Final simplification98.4%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ 1.061405429 (fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0)))
(fma x_m 0.3275911 1.0))))
(if (<= (fabs x_m) 5e-6)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(fma
(/
(- -0.016548154869199687 (pow t_0 3.0))
(+ 0.06493812095888646 (* t_0 (+ t_0 -0.254829592))))
(/ (pow (exp x_m) (- x_m)) (fma 0.3275911 x_m 1.0))
1.0))))x_m = fabs(x);
double code(double x_m) {
double t_0 = (-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0);
double tmp;
if (fabs(x_m) <= 5e-6) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = fma(((-0.016548154869199687 - pow(t_0, 3.0)) / (0.06493812095888646 + (t_0 * (t_0 + -0.254829592)))), (pow(exp(x_m), -x_m) / fma(0.3275911, x_m, 1.0)), 1.0);
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0))) / fma(x_m, 0.3275911, 1.0)) tmp = 0.0 if (abs(x_m) <= 5e-6) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * Float64(Float64(x_m * -0.37545125292247583) - 0.00011824294398844343))))); else tmp = fma(Float64(Float64(-0.016548154869199687 - (t_0 ^ 3.0)) / Float64(0.06493812095888646 + Float64(t_0 * Float64(t_0 + -0.254829592)))), Float64((exp(x_m) ^ Float64(-x_m)) / fma(0.3275911, x_m, 1.0)), 1.0); end return tmp end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x$95$m * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 5e-6], 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[(N[(-0.016548154869199687 - N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision] / N[(0.06493812095888646 + N[(t$95$0 * N[(t$95$0 + -0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x$95$m], $MachinePrecision], (-x$95$m)], $MachinePrecision] / N[(0.3275911 * x$95$m + 1.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}}{\mathsf{fma}\left(x\_m, 0.3275911, 1\right)}\\
\mathbf{if}\;\left|x\_m\right| \leq 5 \cdot 10^{-6}:\\
\;\;\;\;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(\frac{-0.016548154869199687 - {t\_0}^{3}}{0.06493812095888646 + t\_0 \cdot \left(t\_0 + -0.254829592\right)}, \frac{{\left(e^{x\_m}\right)}^{\left(-x\_m\right)}}{\mathsf{fma}\left(0.3275911, x\_m, 1\right)}, 1\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 5.00000000000000041e-6Initial program 57.8%
Simplified57.8%
associate-/l/57.9%
clear-num55.6%
inv-pow55.6%
Applied egg-rr54.2%
unpow-154.2%
associate-/r/54.2%
Simplified54.2%
Taylor expanded in x around 0 97.4%
if 5.00000000000000041e-6 < (fabs.f64 x) Initial program 99.9%
Simplified100.0%
flip3--99.9%
Applied egg-rr99.3%
Simplified99.3%
add-sqr-sqrt47.4%
fabs-sqr47.4%
add-sqr-sqrt99.3%
add-log-exp99.3%
*-un-lft-identity99.3%
log-prod99.3%
metadata-eval99.3%
add-log-exp99.3%
Applied egg-rr99.3%
+-lft-identity99.3%
Simplified99.3%
Final simplification98.4%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0 (* (fabs x_m) 0.3275911)))
(if (<= (fabs x_m) 5e-6)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(+
1.0
(*
(exp (- (* x_m x_m)))
(*
(/ 1.0 (+ 1.0 (* x_m 0.3275911)))
(-
(*
(+
-0.284496736
(*
(/ 1.0 (+ 1.0 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 t_0)))
0.254829592)))))))x_m = fabs(x);
double code(double x_m) {
double t_0 = fabs(x_m) * 0.3275911;
double tmp;
if (fabs(x_m) <= 5e-6) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * ((x_m * -0.37545125292247583) - 0.00011824294398844343))));
} else {
tmp = 1.0 + (exp(-(x_m * x_m)) * ((1.0 / (1.0 + (x_m * 0.3275911))) * (((-0.284496736 + ((1.0 / (1.0 + 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 - t_0))) - 0.254829592)));
}
return tmp;
}
x_m = abs(x) function code(x_m) t_0 = Float64(abs(x_m) * 0.3275911) tmp = 0.0 if (abs(x_m) <= 5e-6) 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(-Float64(x_m * x_m))) * Float64(Float64(1.0 / Float64(1.0 + Float64(x_m * 0.3275911))) * Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.0 / Float64(1.0 + t_0)) * 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 - t_0))) - 0.254829592)))); end return 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]}, If[LessEqual[N[Abs[x$95$m], $MachinePrecision], 5e-6], 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[(N[(1.0 / N[(1.0 + N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-0.284496736 + N[(N[(1.0 / N[(1.0 + t$95$0), $MachinePrecision]), $MachinePrecision] * 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]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-1.0 - t$95$0), $MachinePrecision]), $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\\
\mathbf{if}\;\left|x\_m\right| \leq 5 \cdot 10^{-6}:\\
\;\;\;\;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 x\_m} \cdot \left(\frac{1}{1 + x\_m \cdot 0.3275911} \cdot \left(\left(-0.284496736 + \frac{1}{1 + t\_0} \cdot \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)\right) \cdot \frac{1}{-1 - t\_0} - 0.254829592\right)\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 5.00000000000000041e-6Initial program 57.8%
Simplified57.8%
associate-/l/57.9%
clear-num55.6%
inv-pow55.6%
Applied egg-rr54.2%
unpow-154.2%
associate-/r/54.2%
Simplified54.2%
Taylor expanded in x around 0 97.4%
if 5.00000000000000041e-6 < (fabs.f64 x) Initial program 99.9%
Simplified99.9%
expm1-log1p-u99.9%
log1p-define99.9%
+-commutative99.9%
fma-undefine99.9%
expm1-undefine99.9%
add-exp-log99.9%
add-sqr-sqrt47.4%
fabs-sqr47.4%
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%
+-commutative99.4%
+-lft-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-sqrt47.4%
fabs-sqr47.4%
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%
Final simplification98.5%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x_m) 0.3275911)))
(t_1 (/ 1.0 (+ 1.0 (* x_m 0.3275911)))))
(if (<= x_m 0.00058)
(+
1e-9
(*
x_m
(+
1.128386358070218
(* x_m (- (* x_m -0.37545125292247583) 0.00011824294398844343)))))
(+
1.0
(*
(exp (- (* x_m x_m)))
(*
t_1
(-
(*
(+
-0.284496736
(*
t_1
(+
1.421413741
(* (/ 1.0 t_0) (+ -1.453152027 (/ 1.061405429 t_0))))))
(/ 1.0 (- -1.0 (* x_m 0.3275911))))
0.254829592)))))))x_m = fabs(x);
double code(double x_m) {
double t_0 = 1.0 + (fabs(x_m) * 0.3275911);
double t_1 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (x_m <= 0.00058) {
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 * (((-0.284496736 + (t_1 * (1.421413741 + ((1.0 / t_0) * (-1.453152027 + (1.061405429 / t_0)))))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - 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 = 1.0d0 + (abs(x_m) * 0.3275911d0)
t_1 = 1.0d0 / (1.0d0 + (x_m * 0.3275911d0))
if (x_m <= 0.00058d0) 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 * ((((-0.284496736d0) + (t_1 * (1.421413741d0 + ((1.0d0 / t_0) * ((-1.453152027d0) + (1.061405429d0 / t_0)))))) * (1.0d0 / ((-1.0d0) - (x_m * 0.3275911d0)))) - 0.254829592d0)))
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double t_0 = 1.0 + (Math.abs(x_m) * 0.3275911);
double t_1 = 1.0 / (1.0 + (x_m * 0.3275911));
double tmp;
if (x_m <= 0.00058) {
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 * (((-0.284496736 + (t_1 * (1.421413741 + ((1.0 / t_0) * (-1.453152027 + (1.061405429 / t_0)))))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - 0.254829592)));
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): t_0 = 1.0 + (math.fabs(x_m) * 0.3275911) t_1 = 1.0 / (1.0 + (x_m * 0.3275911)) tmp = 0 if x_m <= 0.00058: 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 * (((-0.284496736 + (t_1 * (1.421413741 + ((1.0 / t_0) * (-1.453152027 + (1.061405429 / t_0)))))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - 0.254829592))) return tmp
x_m = abs(x) function code(x_m) t_0 = Float64(1.0 + 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 <= 0.00058) 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(-Float64(x_m * x_m))) * Float64(t_1 * Float64(Float64(Float64(-0.284496736 + Float64(t_1 * Float64(1.421413741 + Float64(Float64(1.0 / t_0) * Float64(-1.453152027 + Float64(1.061405429 / t_0)))))) * Float64(1.0 / Float64(-1.0 - Float64(x_m * 0.3275911)))) - 0.254829592)))); end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) t_0 = 1.0 + (abs(x_m) * 0.3275911); t_1 = 1.0 / (1.0 + (x_m * 0.3275911)); tmp = 0.0; if (x_m <= 0.00058) 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 * (((-0.284496736 + (t_1 * (1.421413741 + ((1.0 / t_0) * (-1.453152027 + (1.061405429 / t_0)))))) * (1.0 / (-1.0 - (x_m * 0.3275911)))) - 0.254829592))); end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision]
code[x$95$m_] := Block[{t$95$0 = N[(1.0 + N[(N[Abs[x$95$m], $MachinePrecision] * 0.3275911), $MachinePrecision]), $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, 0.00058], 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[(N[(-0.284496736 + N[(t$95$1 * N[(1.421413741 + N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-1.0 - N[(x$95$m * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
t_0 := 1 + \left|x\_m\right| \cdot 0.3275911\\
t_1 := \frac{1}{1 + x\_m \cdot 0.3275911}\\
\mathbf{if}\;x\_m \leq 0.00058:\\
\;\;\;\;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 x\_m} \cdot \left(t\_1 \cdot \left(\left(-0.284496736 + t\_1 \cdot \left(1.421413741 + \frac{1}{t\_0} \cdot \left(-1.453152027 + \frac{1.061405429}{t\_0}\right)\right)\right) \cdot \frac{1}{-1 - x\_m \cdot 0.3275911} - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < 5.8e-4Initial program 73.4%
Simplified73.4%
associate-/l/73.4%
clear-num72.0%
inv-pow72.0%
Applied egg-rr70.7%
unpow-170.7%
associate-/r/70.6%
Simplified70.6%
Taylor expanded in x around 0 62.7%
if 5.8e-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%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Final simplification72.0%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= x_m 1.05)
(+
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 <= 1.05) {
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 <= 1.05d0) 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 <= 1.05) {
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 <= 1.05: 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 <= 1.05) 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 <= 1.05) 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, 1.05], 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 1.05:\\
\;\;\;\;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 < 1.05000000000000004Initial program 73.4%
Simplified73.4%
associate-/l/73.4%
clear-num72.0%
inv-pow72.0%
Applied egg-rr70.7%
unpow-170.7%
associate-/r/70.6%
Simplified70.6%
Taylor expanded in x around 0 62.7%
if 1.05000000000000004 < 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%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
Final simplification72.0%
x_m = (fabs.f64 x)
(FPCore (x_m)
:precision binary64
(if (<= x_m 0.88)
(+
1e-9
(* x_m (* x_m (+ (/ 1.128386358070218 x_m) -0.00011824294398844343))))
1.0))x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (x_m * ((1.128386358070218 / x_m) + -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 0.88d0) then
tmp = 1d-9 + (x_m * (x_m * ((1.128386358070218d0 / x_m) + (-0.00011824294398844343d0))))
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (x_m * ((1.128386358070218 / x_m) + -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 0.88: tmp = 1e-9 + (x_m * (x_m * ((1.128386358070218 / x_m) + -0.00011824294398844343))) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 0.88) tmp = Float64(1e-9 + Float64(x_m * Float64(x_m * Float64(Float64(1.128386358070218 / x_m) + -0.00011824294398844343)))); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 0.88) tmp = 1e-9 + (x_m * (x_m * ((1.128386358070218 / x_m) + -0.00011824294398844343))); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 0.88], N[(1e-9 + N[(x$95$m * N[(x$95$m * N[(N[(1.128386358070218 / x$95$m), $MachinePrecision] + -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 0.88:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(x\_m \cdot \left(\frac{1.128386358070218}{x\_m} + -0.00011824294398844343\right)\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.880000000000000004Initial program 73.4%
Simplified73.4%
associate-/l/73.4%
clear-num72.0%
inv-pow72.0%
Applied egg-rr70.7%
unpow-170.7%
associate-/r/70.6%
Simplified70.6%
Taylor expanded in x around 0 61.7%
*-commutative61.7%
Simplified61.7%
Taylor expanded in x around inf 61.7%
sub-neg61.7%
associate-*r/61.7%
metadata-eval61.7%
metadata-eval61.7%
Simplified61.7%
if 0.880000000000000004 < x Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 0.88) (+ 1e-9 (* x_m (+ 1.128386358070218 (* x_m -0.00011824294398844343)))) 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 0.88d0) then
tmp = 1d-9 + (x_m * (1.128386358070218d0 + (x_m * (-0.00011824294398844343d0))))
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343)));
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 0.88: tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343))) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 0.88) tmp = Float64(1e-9 + Float64(x_m * Float64(1.128386358070218 + Float64(x_m * -0.00011824294398844343)))); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 0.88) tmp = 1e-9 + (x_m * (1.128386358070218 + (x_m * -0.00011824294398844343))); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 0.88], N[(1e-9 + N[(x$95$m * N[(1.128386358070218 + N[(x$95$m * -0.00011824294398844343), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 0.88:\\
\;\;\;\;10^{-9} + x\_m \cdot \left(1.128386358070218 + x\_m \cdot -0.00011824294398844343\right)\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.880000000000000004Initial program 73.4%
Simplified73.4%
associate-/l/73.4%
clear-num72.0%
inv-pow72.0%
Applied egg-rr70.7%
unpow-170.7%
associate-/r/70.6%
Simplified70.6%
Taylor expanded in x around 0 61.7%
*-commutative61.7%
Simplified61.7%
if 0.880000000000000004 < x Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
x_m = (fabs.f64 x) (FPCore (x_m) :precision binary64 (if (<= x_m 0.88) (+ 1e-9 (* x_m 1.128386358070218)) 1.0))
x_m = fabs(x);
double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
x_m = abs(x)
real(8) function code(x_m)
real(8), intent (in) :: x_m
real(8) :: tmp
if (x_m <= 0.88d0) then
tmp = 1d-9 + (x_m * 1.128386358070218d0)
else
tmp = 1.0d0
end if
code = tmp
end function
x_m = Math.abs(x);
public static double code(double x_m) {
double tmp;
if (x_m <= 0.88) {
tmp = 1e-9 + (x_m * 1.128386358070218);
} else {
tmp = 1.0;
}
return tmp;
}
x_m = math.fabs(x) def code(x_m): tmp = 0 if x_m <= 0.88: tmp = 1e-9 + (x_m * 1.128386358070218) else: tmp = 1.0 return tmp
x_m = abs(x) function code(x_m) tmp = 0.0 if (x_m <= 0.88) tmp = Float64(1e-9 + Float64(x_m * 1.128386358070218)); else tmp = 1.0; end return tmp end
x_m = abs(x); function tmp_2 = code(x_m) tmp = 0.0; if (x_m <= 0.88) tmp = 1e-9 + (x_m * 1.128386358070218); else tmp = 1.0; end tmp_2 = tmp; end
x_m = N[Abs[x], $MachinePrecision] code[x$95$m_] := If[LessEqual[x$95$m, 0.88], N[(1e-9 + N[(x$95$m * 1.128386358070218), $MachinePrecision]), $MachinePrecision], 1.0]
\begin{array}{l}
x_m = \left|x\right|
\\
\begin{array}{l}
\mathbf{if}\;x\_m \leq 0.88:\\
\;\;\;\;10^{-9} + x\_m \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < 0.880000000000000004Initial program 73.4%
Simplified73.4%
Applied egg-rr36.7%
Taylor expanded in x around 0 61.6%
*-commutative61.6%
Simplified61.6%
if 0.880000000000000004 < x Initial program 100.0%
Simplified100.0%
expm1-log1p-u100.0%
log1p-define100.0%
+-commutative100.0%
fma-undefine100.0%
expm1-undefine100.0%
add-exp-log100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-undefine100.0%
associate--l+100.0%
metadata-eval100.0%
metadata-eval100.0%
distribute-lft-in100.0%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-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 73.4%
Simplified73.4%
Applied egg-rr36.7%
Taylor expanded in x around 0 64.4%
if 2.79999999999999996e-5 < 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%
+-commutative100.0%
+-lft-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%
+-commutative100.0%
+-lft-identity100.0%
*-commutative100.0%
Simplified100.0%
Taylor expanded in x around inf 100.0%
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 80.0%
Simplified80.1%
Applied egg-rr27.5%
Taylor expanded in x around 0 51.1%
herbie shell --seed 2024130
(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)))))))