
(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 20 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))))
(t_3 (/ 1.0 t_0))
(t_4 (+ 1.0 (* x 0.3275911))))
(if (<= x -2.5e-17)
(+
1.0
(*
t_3
(*
t_2
(-
(*
t_3
(-
(* t_3 (- (* (+ -1.453152027 (/ 1.061405429 t_0)) t_1) 1.421413741))
-0.284496736))
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
(*
t_2
(-
0.254829592
(*
t_3
(-
(*
(/ 1.0 (+ 1.0 (log (+ 1.0 (expm1 (* x 0.3275911))))))
(-
(* (+ -1.453152027 (/ 1.061405429 t_4)) (/ -1.0 t_4))
1.421413741))
-0.284496736))))
t_1))))))
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 t_3 = 1.0 / t_0;
double t_4 = 1.0 + (x * 0.3275911);
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_2 * ((t_3 * ((t_3 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + ((t_2 * (0.254829592 - (t_3 * (((1.0 / (1.0 + log((1.0 + expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_4)) * (-1.0 / t_4)) - 1.421413741)) - -0.284496736)))) * t_1);
}
return tmp;
}
public static double code(double x) {
double t_0 = 1.0 + (Math.abs(x) * 0.3275911);
double t_1 = -1.0 / t_0;
double t_2 = Math.exp((x * -x));
double t_3 = 1.0 / t_0;
double t_4 = 1.0 + (x * 0.3275911);
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_2 * ((t_3 * ((t_3 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + ((t_2 * (0.254829592 - (t_3 * (((1.0 / (1.0 + Math.log((1.0 + Math.expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_4)) * (-1.0 / t_4)) - 1.421413741)) - -0.284496736)))) * t_1);
}
return tmp;
}
def code(x): t_0 = 1.0 + (math.fabs(x) * 0.3275911) t_1 = -1.0 / t_0 t_2 = math.exp((x * -x)) t_3 = 1.0 / t_0 t_4 = 1.0 + (x * 0.3275911) tmp = 0 if x <= -2.5e-17: tmp = 1.0 + (t_3 * (t_2 * ((t_3 * ((t_3 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741)) - -0.284496736)) - 0.254829592))) elif x <= 1.35e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + ((t_2 * (0.254829592 - (t_3 * (((1.0 / (1.0 + math.log((1.0 + math.expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_4)) * (-1.0 / t_4)) - 1.421413741)) - -0.284496736)))) * t_1) 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(x * Float64(-x))) t_3 = Float64(1.0 / t_0) t_4 = Float64(1.0 + Float64(x * 0.3275911)) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 + Float64(t_3 * Float64(t_2 * Float64(Float64(t_3 * Float64(Float64(t_3 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) * t_1) - 1.421413741)) - -0.284496736)) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(Float64(t_2 * Float64(0.254829592 - Float64(t_3 * Float64(Float64(Float64(1.0 / Float64(1.0 + log(Float64(1.0 + expm1(Float64(x * 0.3275911)))))) * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_4)) * Float64(-1.0 / t_4)) - 1.421413741)) - -0.284496736)))) * t_1)); 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]}, Block[{t$95$3 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 + N[(t$95$3 * N[(t$95$2 * N[(N[(t$95$3 * N[(N[(t$95$3 * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$2 * N[(0.254829592 - N[(t$95$3 * N[(N[(N[(1.0 / N[(1.0 + N[Log[N[(1.0 + N[(Exp[N[(x * 0.3275911), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$4), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$4), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $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 \left(-x\right)}\\
t_3 := \frac{1}{t_0}\\
t_4 := 1 + x \cdot 0.3275911\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_3 \cdot \left(t_2 \cdot \left(t_3 \cdot \left(t_3 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_0}\right) \cdot t_1 - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t_2 \cdot \left(0.254829592 - t_3 \cdot \left(\frac{1}{1 + \log \left(1 + \mathsf{expm1}\left(x \cdot 0.3275911\right)\right)} \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_4}\right) \cdot \frac{-1}{t_4} - 1.421413741\right) - -0.284496736\right)\right)\right) \cdot t_1\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
if -2.4999999999999999e-17 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
log1p-expm1-u99.9%
log1p-udef99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(+
(fma 1.061405429 (pow t_0 -2.0) 1.421413741)
(/ -1.453152027 t_0))
t_0))
t_0))
(/ t_0 (exp (* x (- x))))))
(t_2 (sqrt (pow t_1 3.0))))
(if (<= (fabs x) 5e-12)
(+ 1e-9 (* x 1.128386358070218))
(/ (- 1.0 (* t_2 t_2)) (fma (+ 1.0 t_1) t_1 1.0)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (0.254829592 + ((-0.284496736 + ((fma(1.061405429, pow(t_0, -2.0), 1.421413741) + (-1.453152027 / t_0)) / t_0)) / t_0)) / (t_0 / exp((x * -x)));
double t_2 = sqrt(pow(t_1, 3.0));
double tmp;
if (fabs(x) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = (1.0 - (t_2 * t_2)) / fma((1.0 + t_1), t_1, 1.0);
}
return tmp;
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(fma(1.061405429, (t_0 ^ -2.0), 1.421413741) + Float64(-1.453152027 / t_0)) / t_0)) / t_0)) / Float64(t_0 / exp(Float64(x * Float64(-x))))) t_2 = sqrt((t_1 ^ 3.0)) tmp = 0.0 if (abs(x) <= 5e-12) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(Float64(1.0 - Float64(t_2 * t_2)) / fma(Float64(1.0 + t_1), t_1, 1.0)); end return tmp end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(1.061405429 * N[Power[t$95$0, -2.0], $MachinePrecision] + 1.421413741), $MachinePrecision] + N[(-1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 / N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[Power[t$95$1, 3.0], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 5e-12], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 - N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + t$95$1), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\mathsf{fma}\left(1.061405429, {t_0}^{-2}, 1.421413741\right) + \frac{-1.453152027}{t_0}}{t_0}}{t_0}}{\frac{t_0}{e^{x \cdot \left(-x\right)}}}\\
t_2 := \sqrt{{t_1}^{3}}\\
\mathbf{if}\;\left|x\right| \leq 5 \cdot 10^{-12}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;\frac{1 - t_2 \cdot t_2}{\mathsf{fma}\left(1 + t_1, t_1, 1\right)}\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.9999999999999997e-12Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.2%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
if 4.9999999999999997e-12 < (fabs.f64 x) Initial program 99.6%
associate-*l*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
flip3--99.6%
Applied egg-rr99.6%
Simplified99.6%
add-sqr-sqrt99.7%
Applied egg-rr99.7%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(+
(fma 1.061405429 (pow t_0 -2.0) 1.421413741)
(/ -1.453152027 t_0))
t_0))
t_0))
(/ t_0 (exp (* x (- x)))))))
(if (<= (fabs x) 5e-12)
(+ 1e-9 (* x 1.128386358070218))
(/ (log (exp (- 1.0 (pow t_1 3.0)))) (fma (+ 1.0 t_1) t_1 1.0)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (0.254829592 + ((-0.284496736 + ((fma(1.061405429, pow(t_0, -2.0), 1.421413741) + (-1.453152027 / t_0)) / t_0)) / t_0)) / (t_0 / exp((x * -x)));
double tmp;
if (fabs(x) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = log(exp((1.0 - pow(t_1, 3.0)))) / fma((1.0 + t_1), t_1, 1.0);
}
return tmp;
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(fma(1.061405429, (t_0 ^ -2.0), 1.421413741) + Float64(-1.453152027 / t_0)) / t_0)) / t_0)) / Float64(t_0 / exp(Float64(x * Float64(-x))))) tmp = 0.0 if (abs(x) <= 5e-12) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(log(exp(Float64(1.0 - (t_1 ^ 3.0)))) / fma(Float64(1.0 + t_1), t_1, 1.0)); end return tmp end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(1.061405429 * N[Power[t$95$0, -2.0], $MachinePrecision] + 1.421413741), $MachinePrecision] + N[(-1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 / N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 5e-12], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(N[Log[N[Exp[N[(1.0 - N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] / N[(N[(1.0 + t$95$1), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{0.254829592 + \frac{-0.284496736 + \frac{\mathsf{fma}\left(1.061405429, {t_0}^{-2}, 1.421413741\right) + \frac{-1.453152027}{t_0}}{t_0}}{t_0}}{\frac{t_0}{e^{x \cdot \left(-x\right)}}}\\
\mathbf{if}\;\left|x\right| \leq 5 \cdot 10^{-12}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;\frac{\log \left(e^{1 - {t_1}^{3}}\right)}{\mathsf{fma}\left(1 + t_1, t_1, 1\right)}\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.9999999999999997e-12Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.2%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
if 4.9999999999999997e-12 < (fabs.f64 x) Initial program 99.6%
associate-*l*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
flip3--99.6%
Applied egg-rr99.6%
Simplified99.6%
add-log-exp99.6%
distribute-rgt-neg-in99.6%
Applied egg-rr99.6%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(if (<= (fabs x) 5e-12)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(/
(-
(-
(+ (/ 1.453152027 (pow t_0 3.0)) (/ 0.284496736 t_0))
(/ 1.061405429 (pow t_0 4.0)))
(+ 0.254829592 (/ 1.421413741 (pow t_0 2.0))))
(/ t_0 (exp (* x (- x)))))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double tmp;
if (fabs(x) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (((((1.453152027 / pow(t_0, 3.0)) + (0.284496736 / t_0)) - (1.061405429 / pow(t_0, 4.0))) - (0.254829592 + (1.421413741 / pow(t_0, 2.0)))) / (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) <= 5e-12) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(Float64(Float64(Float64(Float64(1.453152027 / (t_0 ^ 3.0)) + Float64(0.284496736 / t_0)) - Float64(1.061405429 / (t_0 ^ 4.0))) - Float64(0.254829592 + Float64(1.421413741 / (t_0 ^ 2.0)))) / Float64(t_0 / exp(Float64(x * Float64(-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], 5e-12], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(N[(N[(N[(1.453152027 / N[Power[t$95$0, 3.0], $MachinePrecision]), $MachinePrecision] + N[(0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision] - N[(1.061405429 / N[Power[t$95$0, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.254829592 + N[(1.421413741 / N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 / N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
\mathbf{if}\;\left|x\right| \leq 5 \cdot 10^{-12}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{\left(\left(\frac{1.453152027}{{t_0}^{3}} + \frac{0.284496736}{t_0}\right) - \frac{1.061405429}{{t_0}^{4}}\right) - \left(0.254829592 + \frac{1.421413741}{{t_0}^{2}}\right)}{\frac{t_0}{e^{x \cdot \left(-x\right)}}}\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.9999999999999997e-12Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.2%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
if 4.9999999999999997e-12 < (fabs.f64 x) Initial program 99.6%
associate-*l*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
Taylor expanded in x around inf 99.6%
Simplified99.6%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(if (<= (fabs x) 5e-12)
(+ 1e-9 (* x 1.128386358070218))
(fma
(*
(+
0.254829592
(/
(+
-0.284496736
(/
(+
(fma 1.061405429 (pow t_0 -2.0) 1.421413741)
(/ -1.453152027 t_0))
t_0))
t_0))
(exp (* x (- x))))
(/ -1.0 t_0)
1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double tmp;
if (fabs(x) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = fma(((0.254829592 + ((-0.284496736 + ((fma(1.061405429, pow(t_0, -2.0), 1.421413741) + (-1.453152027 / t_0)) / t_0)) / t_0)) * exp((x * -x))), (-1.0 / t_0), 1.0);
}
return tmp;
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) tmp = 0.0 if (abs(x) <= 5e-12) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = fma(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(fma(1.061405429, (t_0 ^ -2.0), 1.421413741) + Float64(-1.453152027 / t_0)) / t_0)) / t_0)) * exp(Float64(x * Float64(-x)))), Float64(-1.0 / t_0), 1.0); 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], 5e-12], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(N[(1.061405429 * N[Power[t$95$0, -2.0], $MachinePrecision] + 1.421413741), $MachinePrecision] + N[(-1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision] + 1.0), $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 5 \cdot 10^{-12}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(\left(0.254829592 + \frac{-0.284496736 + \frac{\mathsf{fma}\left(1.061405429, {t_0}^{-2}, 1.421413741\right) + \frac{-1.453152027}{t_0}}{t_0}}{t_0}\right) \cdot e^{x \cdot \left(-x\right)}, \frac{-1}{t_0}, 1\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.9999999999999997e-12Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.2%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
if 4.9999999999999997e-12 < (fabs.f64 x) Initial program 99.6%
associate-*l*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
cancel-sign-sub-inv99.6%
+-commutative99.6%
fma-def99.6%
Applied egg-rr99.6%
+-commutative99.6%
*-commutative99.6%
fma-def99.6%
Simplified99.6%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911))) (t_1 (/ 1.0 t_0)))
(if (<= (fabs x) 5e-12)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
t_1
(*
(exp (* x (- x)))
(-
(*
t_1
(-
(*
t_1
(+
(* 1.453152027 t_1)
(- (* 1.061405429 (/ -1.0 (pow t_0 2.0))) 1.421413741)))
-0.284496736))
0.254829592)))))))
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) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_1 * (exp((x * -x)) * ((t_1 * ((t_1 * ((1.453152027 * t_1) + ((1.061405429 * (-1.0 / pow(t_0, 2.0))) - 1.421413741))) - -0.284496736)) - 0.254829592)));
}
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) <= 5d-12) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 + (t_1 * (exp((x * -x)) * ((t_1 * ((t_1 * ((1.453152027d0 * t_1) + ((1.061405429d0 * ((-1.0d0) / (t_0 ** 2.0d0))) - 1.421413741d0))) - (-0.284496736d0))) - 0.254829592d0)))
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) <= 5e-12) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_1 * (Math.exp((x * -x)) * ((t_1 * ((t_1 * ((1.453152027 * t_1) + ((1.061405429 * (-1.0 / Math.pow(t_0, 2.0))) - 1.421413741))) - -0.284496736)) - 0.254829592)));
}
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) <= 5e-12: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + (t_1 * (math.exp((x * -x)) * ((t_1 * ((t_1 * ((1.453152027 * t_1) + ((1.061405429 * (-1.0 / math.pow(t_0, 2.0))) - 1.421413741))) - -0.284496736)) - 0.254829592))) 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) <= 5e-12) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(t_1 * Float64(exp(Float64(x * Float64(-x))) * Float64(Float64(t_1 * Float64(Float64(t_1 * Float64(Float64(1.453152027 * t_1) + Float64(Float64(1.061405429 * Float64(-1.0 / (t_0 ^ 2.0))) - 1.421413741))) - -0.284496736)) - 0.254829592)))); 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) <= 5e-12) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 + (t_1 * (exp((x * -x)) * ((t_1 * ((t_1 * ((1.453152027 * t_1) + ((1.061405429 * (-1.0 / (t_0 ^ 2.0))) - 1.421413741))) - -0.284496736)) - 0.254829592))); 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], 5e-12], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$1 * N[(N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision] * N[(N[(t$95$1 * N[(N[(t$95$1 * N[(N[(1.453152027 * t$95$1), $MachinePrecision] + N[(N[(1.061405429 * N[(-1.0 / N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $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}\\
\mathbf{if}\;\left|x\right| \leq 5 \cdot 10^{-12}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + t_1 \cdot \left(e^{x \cdot \left(-x\right)} \cdot \left(t_1 \cdot \left(t_1 \cdot \left(1.453152027 \cdot t_1 + \left(1.061405429 \cdot \frac{-1}{{t_0}^{2}} - 1.421413741\right)\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if (fabs.f64 x) < 4.9999999999999997e-12Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.2%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
if 4.9999999999999997e-12 < (fabs.f64 x) Initial program 99.6%
associate-*l*99.6%
Simplified99.6%
Taylor expanded in x around 0 99.6%
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_2)))
(if (<= x -2.5e-17)
(+
1.0
(*
t_3
(*
t_1
(-
(* t_3 (- (* t_3 (+ 0.031738286 (* 1.061405429 t_4))) -0.284496736))
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
(*
t_1
(-
0.254829592
(*
t_3
(-
(*
(/ 1.0 (+ 1.0 (log (+ 1.0 (expm1 (* x 0.3275911))))))
(-
(* (+ -1.453152027 (/ 1.061405429 t_0)) (/ -1.0 t_0))
1.421413741))
-0.284496736))))
t_4))))))
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_2;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_1 * ((t_3 * ((t_3 * (0.031738286 + (1.061405429 * t_4))) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + ((t_1 * (0.254829592 - (t_3 * (((1.0 / (1.0 + log((1.0 + expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_0)) * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)))) * t_4);
}
return tmp;
}
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_2;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_1 * ((t_3 * ((t_3 * (0.031738286 + (1.061405429 * t_4))) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + ((t_1 * (0.254829592 - (t_3 * (((1.0 / (1.0 + Math.log((1.0 + Math.expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_0)) * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)))) * t_4);
}
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_2 tmp = 0 if x <= -2.5e-17: tmp = 1.0 + (t_3 * (t_1 * ((t_3 * ((t_3 * (0.031738286 + (1.061405429 * t_4))) - -0.284496736)) - 0.254829592))) elif x <= 1.35e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + ((t_1 * (0.254829592 - (t_3 * (((1.0 / (1.0 + math.log((1.0 + math.expm1((x * 0.3275911)))))) * (((-1.453152027 + (1.061405429 / t_0)) * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)))) * t_4) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = exp(Float64(x * Float64(-x))) t_2 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_3 = Float64(1.0 / t_2) t_4 = Float64(-1.0 / t_2) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 + Float64(t_3 * Float64(t_1 * Float64(Float64(t_3 * Float64(Float64(t_3 * Float64(0.031738286 + Float64(1.061405429 * t_4))) - -0.284496736)) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(Float64(t_1 * Float64(0.254829592 - Float64(t_3 * Float64(Float64(Float64(1.0 / Float64(1.0 + log(Float64(1.0 + expm1(Float64(x * 0.3275911)))))) * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) * Float64(-1.0 / t_0)) - 1.421413741)) - -0.284496736)))) * t_4)); end return 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$2), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 + N[(t$95$3 * N[(t$95$1 * N[(N[(t$95$3 * N[(N[(t$95$3 * N[(0.031738286 + N[(1.061405429 * t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(t$95$1 * N[(0.254829592 - N[(t$95$3 * N[(N[(N[(1.0 / N[(1.0 + N[Log[N[(1.0 + N[(Exp[N[(x * 0.3275911), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := e^{x \cdot \left(-x\right)}\\
t_2 := 1 + \left|x\right| \cdot 0.3275911\\
t_3 := \frac{1}{t_2}\\
t_4 := \frac{-1}{t_2}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_3 \cdot \left(t_1 \cdot \left(t_3 \cdot \left(t_3 \cdot \left(0.031738286 + 1.061405429 \cdot t_4\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + \left(t_1 \cdot \left(0.254829592 - t_3 \cdot \left(\frac{1}{1 + \log \left(1 + \mathsf{expm1}\left(x \cdot 0.3275911\right)\right)} \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_0}\right) \cdot \frac{-1}{t_0} - 1.421413741\right) - -0.284496736\right)\right)\right) \cdot t_4\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
Taylor expanded in x around 0 97.8%
if -2.4999999999999999e-17 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
log1p-expm1-u99.9%
log1p-udef99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
Final simplification99.4%
(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 -2.5e-17)
(+
1.0
(*
t_3
(*
t_1
(-
(*
t_3
(-
(* t_3 (+ 0.031738286 (* 1.061405429 (/ -1.0 t_2))))
-0.284496736))
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
t_3
(*
t_1
(-
(*
t_4
(-
(*
t_4
(-
(*
(log
(exp (+ -1.453152027 (/ 1.061405429 (fma 0.3275911 x 1.0)))))
(/ -1.0 t_0))
1.421413741))
-0.284496736))
0.254829592))))))))
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 <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_1 * ((t_3 * ((t_3 * (0.031738286 + (1.061405429 * (-1.0 / t_2)))) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_3 * (t_1 * ((t_4 * ((t_4 * ((log(exp((-1.453152027 + (1.061405429 / fma(0.3275911, x, 1.0))))) * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
return tmp;
}
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = exp(Float64(x * Float64(-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 <= -2.5e-17) tmp = Float64(1.0 + Float64(t_3 * Float64(t_1 * Float64(Float64(t_3 * Float64(Float64(t_3 * Float64(0.031738286 + Float64(1.061405429 * Float64(-1.0 / t_2)))) - -0.284496736)) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(t_3 * Float64(t_1 * Float64(Float64(t_4 * Float64(Float64(t_4 * Float64(Float64(log(exp(Float64(-1.453152027 + Float64(1.061405429 / fma(0.3275911, x, 1.0))))) * Float64(-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592)))); end return 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, -2.5e-17], N[(1.0 + N[(t$95$3 * N[(t$95$1 * N[(N[(t$95$3 * N[(N[(t$95$3 * N[(0.031738286 + N[(1.061405429 * N[(-1.0 / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$3 * N[(t$95$1 * N[(N[(t$95$4 * N[(N[(t$95$4 * N[(N[(N[Log[N[Exp[N[(-1.453152027 + N[(1.061405429 / N[(0.3275911 * x + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := e^{x \cdot \left(-x\right)}\\
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 -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_3 \cdot \left(t_1 \cdot \left(t_3 \cdot \left(t_3 \cdot \left(0.031738286 + 1.061405429 \cdot \frac{-1}{t_2}\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + t_3 \cdot \left(t_1 \cdot \left(t_4 \cdot \left(t_4 \cdot \left(\log \left(e^{-1.453152027 + \frac{1.061405429}{\mathsf{fma}\left(0.3275911, x, 1\right)}}\right) \cdot \frac{-1}{t_0} - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
Taylor expanded in x around 0 97.8%
if -2.4999999999999999e-17 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
add-log-exp99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (/ -1.0 t_0))
(t_2 (exp (* x (- x))))
(t_3 (+ 1.0 (* (fabs x) 0.3275911)))
(t_4 (/ 1.0 t_3))
(t_5 (/ -1.0 t_3)))
(if (<= x -2.5e-17)
(+
1.0
(*
t_4
(*
t_2
(-
(* t_4 (- (* t_4 (+ 0.031738286 (* 1.061405429 t_5))) -0.284496736))
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
t_4
(*
t_2
(-
(*
(+
-0.284496736
(*
t_5
(- (* (+ -1.453152027 (/ 1.061405429 t_0)) t_1) 1.421413741)))
t_1)
0.254829592))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = -1.0 / t_0;
double t_2 = exp((x * -x));
double t_3 = 1.0 + (fabs(x) * 0.3275911);
double t_4 = 1.0 / t_3;
double t_5 = -1.0 / t_3;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_4 * (t_2 * ((t_4 * ((t_4 * (0.031738286 + (1.061405429 * t_5))) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_4 * (t_2 * (((-0.284496736 + (t_5 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741))) * t_1) - 0.254829592)));
}
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) :: t_5
real(8) :: tmp
t_0 = 1.0d0 + (x * 0.3275911d0)
t_1 = (-1.0d0) / t_0
t_2 = exp((x * -x))
t_3 = 1.0d0 + (abs(x) * 0.3275911d0)
t_4 = 1.0d0 / t_3
t_5 = (-1.0d0) / t_3
if (x <= (-2.5d-17)) then
tmp = 1.0d0 + (t_4 * (t_2 * ((t_4 * ((t_4 * (0.031738286d0 + (1.061405429d0 * t_5))) - (-0.284496736d0))) - 0.254829592d0)))
else if (x <= 1.35d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 + (t_4 * (t_2 * ((((-0.284496736d0) + (t_5 * ((((-1.453152027d0) + (1.061405429d0 / t_0)) * t_1) - 1.421413741d0))) * t_1) - 0.254829592d0)))
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 = Math.exp((x * -x));
double t_3 = 1.0 + (Math.abs(x) * 0.3275911);
double t_4 = 1.0 / t_3;
double t_5 = -1.0 / t_3;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_4 * (t_2 * ((t_4 * ((t_4 * (0.031738286 + (1.061405429 * t_5))) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_4 * (t_2 * (((-0.284496736 + (t_5 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741))) * t_1) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = -1.0 / t_0 t_2 = math.exp((x * -x)) t_3 = 1.0 + (math.fabs(x) * 0.3275911) t_4 = 1.0 / t_3 t_5 = -1.0 / t_3 tmp = 0 if x <= -2.5e-17: tmp = 1.0 + (t_4 * (t_2 * ((t_4 * ((t_4 * (0.031738286 + (1.061405429 * t_5))) - -0.284496736)) - 0.254829592))) elif x <= 1.35e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + (t_4 * (t_2 * (((-0.284496736 + (t_5 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741))) * t_1) - 0.254829592))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = Float64(-1.0 / t_0) t_2 = exp(Float64(x * Float64(-x))) t_3 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_4 = Float64(1.0 / t_3) t_5 = Float64(-1.0 / t_3) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 + Float64(t_4 * Float64(t_2 * Float64(Float64(t_4 * Float64(Float64(t_4 * Float64(0.031738286 + Float64(1.061405429 * t_5))) - -0.284496736)) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(t_4 * Float64(t_2 * Float64(Float64(Float64(-0.284496736 + Float64(t_5 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) * t_1) - 1.421413741))) * t_1) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = -1.0 / t_0; t_2 = exp((x * -x)); t_3 = 1.0 + (abs(x) * 0.3275911); t_4 = 1.0 / t_3; t_5 = -1.0 / t_3; tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 + (t_4 * (t_2 * ((t_4 * ((t_4 * (0.031738286 + (1.061405429 * t_5))) - -0.284496736)) - 0.254829592))); elseif (x <= 1.35e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 + (t_4 * (t_2 * (((-0.284496736 + (t_5 * (((-1.453152027 + (1.061405429 / t_0)) * t_1) - 1.421413741))) * t_1) - 0.254829592))); 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[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(1.0 / t$95$3), $MachinePrecision]}, Block[{t$95$5 = N[(-1.0 / t$95$3), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 + N[(t$95$4 * N[(t$95$2 * N[(N[(t$95$4 * N[(N[(t$95$4 * N[(0.031738286 + N[(1.061405429 * t$95$5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$4 * N[(t$95$2 * N[(N[(N[(-0.284496736 + N[(t$95$5 * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision] - 0.254829592), $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 := e^{x \cdot \left(-x\right)}\\
t_3 := 1 + \left|x\right| \cdot 0.3275911\\
t_4 := \frac{1}{t_3}\\
t_5 := \frac{-1}{t_3}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_4 \cdot \left(t_2 \cdot \left(t_4 \cdot \left(t_4 \cdot \left(0.031738286 + 1.061405429 \cdot t_5\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + t_4 \cdot \left(t_2 \cdot \left(\left(-0.284496736 + t_5 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_0}\right) \cdot t_1 - 1.421413741\right)\right) \cdot t_1 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
Taylor expanded in x around 0 97.8%
if -2.4999999999999999e-17 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911)))
(t_1 (/ -1.0 t_0))
(t_2 (/ 1.0 t_0))
(t_3 (+ 1.0 (* x 0.3275911)))
(t_4 (exp (* x (- x))))
(t_5 (/ -1.0 t_3)))
(if (<= x -2.5e-17)
(+
1.0
(*
t_2
(*
t_4
(-
(*
(+
-0.284496736
(*
t_1
(- (* (+ -1.453152027 (/ 1.061405429 t_0)) t_5) 1.421413741)))
t_5)
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
t_2
(*
t_4
(-
(*
(+
-0.284496736
(*
t_1
(- (* (+ -1.453152027 (/ 1.061405429 t_3)) t_5) 1.421413741)))
t_5)
0.254829592))))))))
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 / t_0;
double t_3 = 1.0 + (x * 0.3275911);
double t_4 = exp((x * -x));
double t_5 = -1.0 / t_3;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_0)) * t_5) - 1.421413741))) * t_5) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_3)) * t_5) - 1.421413741))) * t_5) - 0.254829592)));
}
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) :: t_5
real(8) :: tmp
t_0 = 1.0d0 + (abs(x) * 0.3275911d0)
t_1 = (-1.0d0) / t_0
t_2 = 1.0d0 / t_0
t_3 = 1.0d0 + (x * 0.3275911d0)
t_4 = exp((x * -x))
t_5 = (-1.0d0) / t_3
if (x <= (-2.5d-17)) then
tmp = 1.0d0 + (t_2 * (t_4 * ((((-0.284496736d0) + (t_1 * ((((-1.453152027d0) + (1.061405429d0 / t_0)) * t_5) - 1.421413741d0))) * t_5) - 0.254829592d0)))
else if (x <= 1.35d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 + (t_2 * (t_4 * ((((-0.284496736d0) + (t_1 * ((((-1.453152027d0) + (1.061405429d0 / t_3)) * t_5) - 1.421413741d0))) * t_5) - 0.254829592d0)))
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 t_2 = 1.0 / t_0;
double t_3 = 1.0 + (x * 0.3275911);
double t_4 = Math.exp((x * -x));
double t_5 = -1.0 / t_3;
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_0)) * t_5) - 1.421413741))) * t_5) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_3)) * t_5) - 1.421413741))) * t_5) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = 1.0 + (math.fabs(x) * 0.3275911) t_1 = -1.0 / t_0 t_2 = 1.0 / t_0 t_3 = 1.0 + (x * 0.3275911) t_4 = math.exp((x * -x)) t_5 = -1.0 / t_3 tmp = 0 if x <= -2.5e-17: tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_0)) * t_5) - 1.421413741))) * t_5) - 0.254829592))) elif x <= 1.35e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_3)) * t_5) - 1.421413741))) * t_5) - 0.254829592))) 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 / t_0) t_3 = Float64(1.0 + Float64(x * 0.3275911)) t_4 = exp(Float64(x * Float64(-x))) t_5 = Float64(-1.0 / t_3) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(-0.284496736 + Float64(t_1 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) * t_5) - 1.421413741))) * t_5) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(-0.284496736 + Float64(t_1 * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_3)) * t_5) - 1.421413741))) * t_5) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (abs(x) * 0.3275911); t_1 = -1.0 / t_0; t_2 = 1.0 / t_0; t_3 = 1.0 + (x * 0.3275911); t_4 = exp((x * -x)); t_5 = -1.0 / t_3; tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_0)) * t_5) - 1.421413741))) * t_5) - 0.254829592))); elseif (x <= 1.35e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + (t_1 * (((-1.453152027 + (1.061405429 / t_3)) * t_5) - 1.421413741))) * t_5) - 0.254829592))); 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]}, Block[{t$95$2 = N[(1.0 / t$95$0), $MachinePrecision]}, Block[{t$95$3 = N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(-1.0 / t$95$3), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(-0.284496736 + N[(t$95$1 * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(-0.284496736 + N[(t$95$1 * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$3), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$5), $MachinePrecision] - 0.254829592), $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}{t_0}\\
t_3 := 1 + x \cdot 0.3275911\\
t_4 := e^{x \cdot \left(-x\right)}\\
t_5 := \frac{-1}{t_3}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\left(-0.284496736 + t_1 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_0}\right) \cdot t_5 - 1.421413741\right)\right) \cdot t_5 - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\left(-0.284496736 + t_1 \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_3}\right) \cdot t_5 - 1.421413741\right)\right) \cdot t_5 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
if -2.4999999999999999e-17 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (+ 1.0 (* (fabs x) 0.3275911)))
(t_2 (/ 1.0 t_1))
(t_3 (/ -1.0 t_0))
(t_4 (exp (* x (- x)))))
(if (<= x -1.7e-16)
(+
1.0
(*
t_2
(*
t_4
(-
(*
(/ 1.0 t_0)
(- (* t_2 (- (* -0.391746598 t_3) 1.421413741)) -0.284496736))
0.254829592))))
(if (<= x 1.35e-6)
(+ 1e-9 (* x 1.128386358070218))
(+
1.0
(*
t_2
(*
t_4
(-
(*
(+
-0.284496736
(*
(/ -1.0 t_1)
(- (* (+ -1.453152027 (/ 1.061405429 t_0)) t_3) 1.421413741)))
t_3)
0.254829592))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 + (fabs(x) * 0.3275911);
double t_2 = 1.0 / t_1;
double t_3 = -1.0 / t_0;
double t_4 = exp((x * -x));
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + ((-1.0 / t_1) * (((-1.453152027 + (1.061405429 / t_0)) * t_3) - 1.421413741))) * t_3) - 0.254829592)));
}
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 + (abs(x) * 0.3275911d0)
t_2 = 1.0d0 / t_1
t_3 = (-1.0d0) / t_0
t_4 = exp((x * -x))
if (x <= (-1.7d-16)) then
tmp = 1.0d0 + (t_2 * (t_4 * (((1.0d0 / t_0) * ((t_2 * (((-0.391746598d0) * t_3) - 1.421413741d0)) - (-0.284496736d0))) - 0.254829592d0)))
else if (x <= 1.35d-6) then
tmp = 1d-9 + (x * 1.128386358070218d0)
else
tmp = 1.0d0 + (t_2 * (t_4 * ((((-0.284496736d0) + (((-1.0d0) / t_1) * ((((-1.453152027d0) + (1.061405429d0 / t_0)) * t_3) - 1.421413741d0))) * t_3) - 0.254829592d0)))
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 + (Math.abs(x) * 0.3275911);
double t_2 = 1.0 / t_1;
double t_3 = -1.0 / t_0;
double t_4 = Math.exp((x * -x));
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 1.35e-6) {
tmp = 1e-9 + (x * 1.128386358070218);
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + ((-1.0 / t_1) * (((-1.453152027 + (1.061405429 / t_0)) * t_3) - 1.421413741))) * t_3) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = 1.0 + (math.fabs(x) * 0.3275911) t_2 = 1.0 / t_1 t_3 = -1.0 / t_0 t_4 = math.exp((x * -x)) tmp = 0 if x <= -1.7e-16: tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592))) elif x <= 1.35e-6: tmp = 1e-9 + (x * 1.128386358070218) else: tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + ((-1.0 / t_1) * (((-1.453152027 + (1.061405429 / t_0)) * t_3) - 1.421413741))) * t_3) - 0.254829592))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_2 = Float64(1.0 / t_1) t_3 = Float64(-1.0 / t_0) t_4 = exp(Float64(x * Float64(-x))) tmp = 0.0 if (x <= -1.7e-16) tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(1.0 / t_0) * Float64(Float64(t_2 * Float64(Float64(-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)))); elseif (x <= 1.35e-6) tmp = Float64(1e-9 + Float64(x * 1.128386358070218)); else tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(-0.284496736 + Float64(Float64(-1.0 / t_1) * Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) * t_3) - 1.421413741))) * t_3) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = 1.0 + (abs(x) * 0.3275911); t_2 = 1.0 / t_1; t_3 = -1.0 / t_0; t_4 = exp((x * -x)); tmp = 0.0; if (x <= -1.7e-16) tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592))); elseif (x <= 1.35e-6) tmp = 1e-9 + (x * 1.128386358070218); else tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 + ((-1.0 / t_1) * (((-1.453152027 + (1.061405429 / t_0)) * t_3) - 1.421413741))) * t_3) - 0.254829592))); 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 + 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 / t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x, -1.7e-16], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(N[(t$95$2 * N[(N[(-0.391746598 * t$95$3), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.35e-6], N[(1e-9 + N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(-0.284496736 + N[(N[(-1.0 / t$95$1), $MachinePrecision] * N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := 1 + \left|x\right| \cdot 0.3275911\\
t_2 := \frac{1}{t_1}\\
t_3 := \frac{-1}{t_0}\\
t_4 := e^{x \cdot \left(-x\right)}\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\frac{1}{t_0} \cdot \left(t_2 \cdot \left(-0.391746598 \cdot t_3 - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 1.35 \cdot 10^{-6}:\\
\;\;\;\;10^{-9} + x \cdot 1.128386358070218\\
\mathbf{else}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\left(-0.284496736 + \frac{-1}{t_1} \cdot \left(\left(-1.453152027 + \frac{1.061405429}{t_0}\right) \cdot t_3 - 1.421413741\right)\right) \cdot t_3 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -1.7e-16Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
add-log-exp97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.6%
Taylor expanded in x around 0 97.7%
if -1.7e-16 < x < 1.34999999999999999e-6Initial program 57.7%
associate-*l*57.7%
Simplified57.7%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr55.4%
Taylor expanded in x around 0 99.9%
*-commutative99.9%
Simplified99.9%
if 1.34999999999999999e-6 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
expm1-log1p-u99.9%
expm1-udef99.9%
log1p-udef99.9%
add-exp-log99.9%
+-commutative99.9%
fma-def99.9%
add-sqr-sqrt99.9%
fabs-sqr99.9%
add-sqr-sqrt99.9%
Applied egg-rr99.9%
fma-udef99.9%
associate--l+99.9%
metadata-eval99.9%
+-rgt-identity99.9%
Simplified99.9%
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 -1.7e-16)
(+
1.0
(*
t_2
(*
t_3
(-
(*
t_1
(-
(* t_2 (- (* -0.391746598 (/ -1.0 t_0)) 1.421413741))
-0.284496736))
0.254829592))))
(if (<= x 0.21)
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218)))
(+
1.0
(*
t_2
(*
t_3
(-
(*
t_1
(-
(*
t_2
(-
(* t_1 (- 0.391746598 (* x -0.3477069720320819)))
1.421413741))
-0.284496736))
0.254829592))))))))
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 <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((-0.391746598 * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 0.21) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((t_1 * (0.391746598 - (x * -0.3477069720320819))) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
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 <= (-1.7d-16)) then
tmp = 1.0d0 + (t_2 * (t_3 * ((t_1 * ((t_2 * (((-0.391746598d0) * ((-1.0d0) / t_0)) - 1.421413741d0)) - (-0.284496736d0))) - 0.254829592d0)))
else if (x <= 0.21d0) then
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (1d-9 - (x * 1.128386358070218d0))
else
tmp = 1.0d0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((t_1 * (0.391746598d0 - (x * (-0.3477069720320819d0)))) - 1.421413741d0)) - (-0.284496736d0))) - 0.254829592d0)))
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 <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((-0.391746598 * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 0.21) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((t_1 * (0.391746598 - (x * -0.3477069720320819))) - 1.421413741)) - -0.284496736)) - 0.254829592)));
}
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 <= -1.7e-16: tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((-0.391746598 * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592))) elif x <= 0.21: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) else: tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((t_1 * (0.391746598 - (x * -0.3477069720320819))) - 1.421413741)) - -0.284496736)) - 0.254829592))) 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(x * Float64(-x))) tmp = 0.0 if (x <= -1.7e-16) tmp = Float64(1.0 + Float64(t_2 * Float64(t_3 * Float64(Float64(t_1 * Float64(Float64(t_2 * Float64(Float64(-0.391746598 * Float64(-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592)))); elseif (x <= 0.21) tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / Float64(1e-9 - Float64(x * 1.128386358070218))); else tmp = Float64(1.0 + Float64(t_2 * Float64(t_3 * Float64(Float64(t_1 * Float64(Float64(t_2 * Float64(Float64(t_1 * Float64(0.391746598 - Float64(x * -0.3477069720320819))) - 1.421413741)) - -0.284496736)) - 0.254829592)))); 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 <= -1.7e-16) tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((-0.391746598 * (-1.0 / t_0)) - 1.421413741)) - -0.284496736)) - 0.254829592))); elseif (x <= 0.21) tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); else tmp = 1.0 + (t_2 * (t_3 * ((t_1 * ((t_2 * ((t_1 * (0.391746598 - (x * -0.3477069720320819))) - 1.421413741)) - -0.284496736)) - 0.254829592))); 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, -1.7e-16], N[(1.0 + N[(t$95$2 * N[(t$95$3 * N[(N[(t$95$1 * N[(N[(t$95$2 * N[(N[(-0.391746598 * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.21], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$2 * N[(t$95$3 * N[(N[(t$95$1 * N[(N[(t$95$2 * N[(N[(t$95$1 * N[(0.391746598 - N[(x * -0.3477069720320819), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $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 \left(-x\right)}\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;1 + t_2 \cdot \left(t_3 \cdot \left(t_1 \cdot \left(t_2 \cdot \left(-0.391746598 \cdot \frac{-1}{t_0} - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 0.21:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\mathbf{else}:\\
\;\;\;\;1 + t_2 \cdot \left(t_3 \cdot \left(t_1 \cdot \left(t_2 \cdot \left(t_1 \cdot \left(0.391746598 - x \cdot -0.3477069720320819\right) - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -1.7e-16Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
add-log-exp97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.6%
Taylor expanded in x around 0 97.7%
if -1.7e-16 < x < 0.209999999999999992Initial program 58.0%
associate-*l*58.0%
Simplified58.0%
add-log-exp55.7%
associate-*l/55.7%
Applied egg-rr55.1%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
flip-+99.4%
metadata-eval99.4%
Applied egg-rr99.4%
swap-sqr99.4%
metadata-eval99.4%
Simplified99.4%
if 0.209999999999999992 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
add-log-exp100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 99.0%
Final simplification98.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* x 0.3275911)))
(t_1 (+ 1.0 (* (fabs x) 0.3275911)))
(t_2 (/ 1.0 t_1))
(t_3 (/ -1.0 t_0))
(t_4 (exp (* x (- x)))))
(if (<= x -1.7e-16)
(+
1.0
(*
t_2
(*
t_4
(-
(*
(/ 1.0 t_0)
(- (* t_2 (- (* -0.391746598 t_3) 1.421413741)) -0.284496736))
0.254829592))))
(if (<= x 0.3)
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218)))
(+
1.0
(*
t_2
(*
t_4
(-
(*
(-
-0.284496736
(* (+ 1.029667143 (* x -0.2193742730720041)) (/ -1.0 t_1)))
t_3)
0.254829592))))))))
double code(double x) {
double t_0 = 1.0 + (x * 0.3275911);
double t_1 = 1.0 + (fabs(x) * 0.3275911);
double t_2 = 1.0 / t_1;
double t_3 = -1.0 / t_0;
double t_4 = exp((x * -x));
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 0.3) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * (-1.0 / t_1))) * t_3) - 0.254829592)));
}
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 + (abs(x) * 0.3275911d0)
t_2 = 1.0d0 / t_1
t_3 = (-1.0d0) / t_0
t_4 = exp((x * -x))
if (x <= (-1.7d-16)) then
tmp = 1.0d0 + (t_2 * (t_4 * (((1.0d0 / t_0) * ((t_2 * (((-0.391746598d0) * t_3) - 1.421413741d0)) - (-0.284496736d0))) - 0.254829592d0)))
else if (x <= 0.3d0) then
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (1d-9 - (x * 1.128386358070218d0))
else
tmp = 1.0d0 + (t_2 * (t_4 * ((((-0.284496736d0) - ((1.029667143d0 + (x * (-0.2193742730720041d0))) * ((-1.0d0) / t_1))) * t_3) - 0.254829592d0)))
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 + (Math.abs(x) * 0.3275911);
double t_2 = 1.0 / t_1;
double t_3 = -1.0 / t_0;
double t_4 = Math.exp((x * -x));
double tmp;
if (x <= -1.7e-16) {
tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)));
} else if (x <= 0.3) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * (-1.0 / t_1))) * t_3) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = 1.0 + (x * 0.3275911) t_1 = 1.0 + (math.fabs(x) * 0.3275911) t_2 = 1.0 / t_1 t_3 = -1.0 / t_0 t_4 = math.exp((x * -x)) tmp = 0 if x <= -1.7e-16: tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592))) elif x <= 0.3: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) else: tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * (-1.0 / t_1))) * t_3) - 0.254829592))) return tmp
function code(x) t_0 = Float64(1.0 + Float64(x * 0.3275911)) t_1 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_2 = Float64(1.0 / t_1) t_3 = Float64(-1.0 / t_0) t_4 = exp(Float64(x * Float64(-x))) tmp = 0.0 if (x <= -1.7e-16) tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(1.0 / t_0) * Float64(Float64(t_2 * Float64(Float64(-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592)))); elseif (x <= 0.3) tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / Float64(1e-9 - Float64(x * 1.128386358070218))); else tmp = Float64(1.0 + Float64(t_2 * Float64(t_4 * Float64(Float64(Float64(-0.284496736 - Float64(Float64(1.029667143 + Float64(x * -0.2193742730720041)) * Float64(-1.0 / t_1))) * t_3) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (x * 0.3275911); t_1 = 1.0 + (abs(x) * 0.3275911); t_2 = 1.0 / t_1; t_3 = -1.0 / t_0; t_4 = exp((x * -x)); tmp = 0.0; if (x <= -1.7e-16) tmp = 1.0 + (t_2 * (t_4 * (((1.0 / t_0) * ((t_2 * ((-0.391746598 * t_3) - 1.421413741)) - -0.284496736)) - 0.254829592))); elseif (x <= 0.3) tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); else tmp = 1.0 + (t_2 * (t_4 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * (-1.0 / t_1))) * t_3) - 0.254829592))); 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 + 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 / t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x, -1.7e-16], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(N[(t$95$2 * N[(N[(-0.391746598 * t$95$3), $MachinePrecision] - 1.421413741), $MachinePrecision]), $MachinePrecision] - -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.3], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$2 * N[(t$95$4 * N[(N[(N[(-0.284496736 - N[(N[(1.029667143 + N[(x * -0.2193742730720041), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + x \cdot 0.3275911\\
t_1 := 1 + \left|x\right| \cdot 0.3275911\\
t_2 := \frac{1}{t_1}\\
t_3 := \frac{-1}{t_0}\\
t_4 := e^{x \cdot \left(-x\right)}\\
\mathbf{if}\;x \leq -1.7 \cdot 10^{-16}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\frac{1}{t_0} \cdot \left(t_2 \cdot \left(-0.391746598 \cdot t_3 - 1.421413741\right) - -0.284496736\right) - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 0.3:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\mathbf{else}:\\
\;\;\;\;1 + t_2 \cdot \left(t_4 \cdot \left(\left(-0.284496736 - \left(1.029667143 + x \cdot -0.2193742730720041\right) \cdot \frac{-1}{t_1}\right) \cdot t_3 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -1.7e-16Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
add-log-exp97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.6%
Taylor expanded in x around 0 97.7%
if -1.7e-16 < x < 0.299999999999999989Initial program 58.0%
associate-*l*58.0%
Simplified58.0%
add-log-exp55.7%
associate-*l/55.7%
Applied egg-rr55.1%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
flip-+99.4%
metadata-eval99.4%
Applied egg-rr99.4%
swap-sqr99.4%
metadata-eval99.4%
Simplified99.4%
if 0.299999999999999989 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
add-log-exp100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 99.0%
*-commutative99.0%
Simplified99.0%
Final simplification98.9%
(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 t_1))
(t_4 (/ -1.0 (+ 1.0 (* x 0.3275911)))))
(if (<= x -2.5e-17)
(+
1.0
(*
t_3
(* t_0 (- (* (- -0.284496736 (* 1.029667143 t_2)) t_4) 0.254829592))))
(if (<= x 0.3)
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218)))
(+
1.0
(*
t_3
(*
t_0
(-
(*
(- -0.284496736 (* (+ 1.029667143 (* x -0.2193742730720041)) t_2))
t_4)
0.254829592))))))))
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 / t_1;
double t_4 = -1.0 / (1.0 + (x * 0.3275911));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - (1.029667143 * t_2)) * t_4) - 0.254829592)));
} else if (x <= 0.3) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * t_2)) * t_4) - 0.254829592)));
}
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 = exp((x * -x))
t_1 = 1.0d0 + (abs(x) * 0.3275911d0)
t_2 = (-1.0d0) / t_1
t_3 = 1.0d0 / t_1
t_4 = (-1.0d0) / (1.0d0 + (x * 0.3275911d0))
if (x <= (-2.5d-17)) then
tmp = 1.0d0 + (t_3 * (t_0 * ((((-0.284496736d0) - (1.029667143d0 * t_2)) * t_4) - 0.254829592d0)))
else if (x <= 0.3d0) then
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (1d-9 - (x * 1.128386358070218d0))
else
tmp = 1.0d0 + (t_3 * (t_0 * ((((-0.284496736d0) - ((1.029667143d0 + (x * (-0.2193742730720041d0))) * t_2)) * t_4) - 0.254829592d0)))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = Math.exp((x * -x));
double t_1 = 1.0 + (Math.abs(x) * 0.3275911);
double t_2 = -1.0 / t_1;
double t_3 = 1.0 / t_1;
double t_4 = -1.0 / (1.0 + (x * 0.3275911));
double tmp;
if (x <= -2.5e-17) {
tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - (1.029667143 * t_2)) * t_4) - 0.254829592)));
} else if (x <= 0.3) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * t_2)) * t_4) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = math.exp((x * -x)) t_1 = 1.0 + (math.fabs(x) * 0.3275911) t_2 = -1.0 / t_1 t_3 = 1.0 / t_1 t_4 = -1.0 / (1.0 + (x * 0.3275911)) tmp = 0 if x <= -2.5e-17: tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - (1.029667143 * t_2)) * t_4) - 0.254829592))) elif x <= 0.3: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) else: tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * t_2)) * t_4) - 0.254829592))) return tmp
function code(x) t_0 = exp(Float64(x * Float64(-x))) t_1 = Float64(1.0 + Float64(abs(x) * 0.3275911)) t_2 = Float64(-1.0 / t_1) t_3 = Float64(1.0 / t_1) t_4 = Float64(-1.0 / Float64(1.0 + Float64(x * 0.3275911))) tmp = 0.0 if (x <= -2.5e-17) tmp = Float64(1.0 + Float64(t_3 * Float64(t_0 * Float64(Float64(Float64(-0.284496736 - Float64(1.029667143 * t_2)) * t_4) - 0.254829592)))); elseif (x <= 0.3) tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / Float64(1e-9 - Float64(x * 1.128386358070218))); else tmp = Float64(1.0 + Float64(t_3 * Float64(t_0 * Float64(Float64(Float64(-0.284496736 - Float64(Float64(1.029667143 + Float64(x * -0.2193742730720041)) * t_2)) * t_4) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = exp((x * -x)); t_1 = 1.0 + (abs(x) * 0.3275911); t_2 = -1.0 / t_1; t_3 = 1.0 / t_1; t_4 = -1.0 / (1.0 + (x * 0.3275911)); tmp = 0.0; if (x <= -2.5e-17) tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - (1.029667143 * t_2)) * t_4) - 0.254829592))); elseif (x <= 0.3) tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); else tmp = 1.0 + (t_3 * (t_0 * (((-0.284496736 - ((1.029667143 + (x * -0.2193742730720041)) * t_2)) * t_4) - 0.254829592))); end tmp_2 = 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 / t$95$1), $MachinePrecision]}, Block[{t$95$4 = N[(-1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -2.5e-17], N[(1.0 + N[(t$95$3 * N[(t$95$0 * N[(N[(N[(-0.284496736 - N[(1.029667143 * t$95$2), $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 0.3], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(t$95$3 * N[(t$95$0 * N[(N[(N[(-0.284496736 - N[(N[(1.029667143 + N[(x * -0.2193742730720041), $MachinePrecision]), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] * t$95$4), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{x \cdot \left(-x\right)}\\
t_1 := 1 + \left|x\right| \cdot 0.3275911\\
t_2 := \frac{-1}{t_1}\\
t_3 := \frac{1}{t_1}\\
t_4 := \frac{-1}{1 + x \cdot 0.3275911}\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17}:\\
\;\;\;\;1 + t_3 \cdot \left(t_0 \cdot \left(\left(-0.284496736 - 1.029667143 \cdot t_2\right) \cdot t_4 - 0.254829592\right)\right)\\
\mathbf{elif}\;x \leq 0.3:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\mathbf{else}:\\
\;\;\;\;1 + t_3 \cdot \left(t_0 \cdot \left(\left(-0.284496736 - \left(1.029667143 + x \cdot -0.2193742730720041\right) \cdot t_2\right) \cdot t_4 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17Initial program 98.5%
associate-*l*98.5%
Simplified98.5%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
expm1-log1p-u97.7%
expm1-udef97.7%
log1p-udef97.7%
add-exp-log97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.7%
fma-udef97.6%
associate--l+97.6%
metadata-eval97.6%
+-rgt-identity97.6%
Simplified97.7%
add-log-exp97.7%
+-commutative97.7%
fma-def97.7%
add-sqr-sqrt0.0%
fabs-sqr0.0%
add-sqr-sqrt97.6%
Applied egg-rr97.6%
Taylor expanded in x around 0 97.7%
if -2.4999999999999999e-17 < x < 0.299999999999999989Initial program 58.0%
associate-*l*58.0%
Simplified58.0%
add-log-exp55.7%
associate-*l/55.7%
Applied egg-rr55.1%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
flip-+99.4%
metadata-eval99.4%
Applied egg-rr99.4%
swap-sqr99.4%
metadata-eval99.4%
Simplified99.4%
if 0.299999999999999989 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
add-log-exp100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0 99.0%
*-commutative99.0%
Simplified99.0%
Final simplification98.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 1.0 (* (fabs x) 0.3275911))))
(if (or (<= x -2.5e-17) (not (<= x 0.5)))
(+
1.0
(*
(/ 1.0 t_0)
(*
(exp (* x (- x)))
(-
(*
(- -0.284496736 (* 1.029667143 (/ -1.0 t_0)))
(/ -1.0 (+ 1.0 (* x 0.3275911))))
0.254829592))))
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218))))))
double code(double x) {
double t_0 = 1.0 + (fabs(x) * 0.3275911);
double tmp;
if ((x <= -2.5e-17) || !(x <= 0.5)) {
tmp = 1.0 + ((1.0 / t_0) * (exp((x * -x)) * (((-0.284496736 - (1.029667143 * (-1.0 / t_0))) * (-1.0 / (1.0 + (x * 0.3275911)))) - 0.254829592)));
} else {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = 1.0d0 + (abs(x) * 0.3275911d0)
if ((x <= (-2.5d-17)) .or. (.not. (x <= 0.5d0))) then
tmp = 1.0d0 + ((1.0d0 / t_0) * (exp((x * -x)) * ((((-0.284496736d0) - (1.029667143d0 * ((-1.0d0) / t_0))) * ((-1.0d0) / (1.0d0 + (x * 0.3275911d0)))) - 0.254829592d0)))
else
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (1d-9 - (x * 1.128386358070218d0))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 1.0 + (Math.abs(x) * 0.3275911);
double tmp;
if ((x <= -2.5e-17) || !(x <= 0.5)) {
tmp = 1.0 + ((1.0 / t_0) * (Math.exp((x * -x)) * (((-0.284496736 - (1.029667143 * (-1.0 / t_0))) * (-1.0 / (1.0 + (x * 0.3275911)))) - 0.254829592)));
} else {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
}
return tmp;
}
def code(x): t_0 = 1.0 + (math.fabs(x) * 0.3275911) tmp = 0 if (x <= -2.5e-17) or not (x <= 0.5): tmp = 1.0 + ((1.0 / t_0) * (math.exp((x * -x)) * (((-0.284496736 - (1.029667143 * (-1.0 / t_0))) * (-1.0 / (1.0 + (x * 0.3275911)))) - 0.254829592))) else: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) return tmp
function code(x) t_0 = Float64(1.0 + Float64(abs(x) * 0.3275911)) tmp = 0.0 if ((x <= -2.5e-17) || !(x <= 0.5)) tmp = Float64(1.0 + Float64(Float64(1.0 / t_0) * Float64(exp(Float64(x * Float64(-x))) * Float64(Float64(Float64(-0.284496736 - Float64(1.029667143 * Float64(-1.0 / t_0))) * Float64(-1.0 / Float64(1.0 + Float64(x * 0.3275911)))) - 0.254829592)))); else tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / Float64(1e-9 - Float64(x * 1.128386358070218))); end return tmp end
function tmp_2 = code(x) t_0 = 1.0 + (abs(x) * 0.3275911); tmp = 0.0; if ((x <= -2.5e-17) || ~((x <= 0.5))) tmp = 1.0 + ((1.0 / t_0) * (exp((x * -x)) * (((-0.284496736 - (1.029667143 * (-1.0 / t_0))) * (-1.0 / (1.0 + (x * 0.3275911)))) - 0.254829592))); else tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]}, If[Or[LessEqual[x, -2.5e-17], N[Not[LessEqual[x, 0.5]], $MachinePrecision]], N[(1.0 + N[(N[(1.0 / t$95$0), $MachinePrecision] * N[(N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.284496736 - N[(1.029667143 * N[(-1.0 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 1 + \left|x\right| \cdot 0.3275911\\
\mathbf{if}\;x \leq -2.5 \cdot 10^{-17} \lor \neg \left(x \leq 0.5\right):\\
\;\;\;\;1 + \frac{1}{t_0} \cdot \left(e^{x \cdot \left(-x\right)} \cdot \left(\left(-0.284496736 - 1.029667143 \cdot \frac{-1}{t_0}\right) \cdot \frac{-1}{1 + x \cdot 0.3275911} - 0.254829592\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\end{array}
\end{array}
if x < -2.4999999999999999e-17 or 0.5 < x Initial program 99.3%
associate-*l*99.3%
Simplified99.3%
expm1-log1p-u98.9%
expm1-udef98.9%
log1p-udef98.9%
add-exp-log98.9%
+-commutative98.9%
fma-def98.9%
add-sqr-sqrt53.8%
fabs-sqr53.8%
add-sqr-sqrt98.9%
Applied egg-rr98.9%
fma-udef98.9%
associate--l+98.9%
metadata-eval98.9%
+-rgt-identity98.9%
Simplified98.9%
expm1-log1p-u98.9%
expm1-udef98.9%
log1p-udef98.9%
add-exp-log98.9%
+-commutative98.9%
fma-def98.9%
add-sqr-sqrt53.8%
fabs-sqr53.8%
add-sqr-sqrt98.9%
Applied egg-rr98.9%
fma-udef98.9%
associate--l+98.9%
metadata-eval98.9%
+-rgt-identity98.9%
Simplified98.9%
add-log-exp99.0%
+-commutative99.0%
fma-def99.0%
add-sqr-sqrt53.8%
fabs-sqr53.8%
add-sqr-sqrt98.9%
Applied egg-rr98.9%
Taylor expanded in x around 0 98.4%
if -2.4999999999999999e-17 < x < 0.5Initial program 58.0%
associate-*l*58.0%
Simplified58.0%
add-log-exp55.7%
associate-*l/55.7%
Applied egg-rr55.1%
Taylor expanded in x around 0 99.4%
*-commutative99.4%
Simplified99.4%
flip-+99.4%
metadata-eval99.4%
Applied egg-rr99.4%
swap-sqr99.4%
metadata-eval99.4%
Simplified99.4%
Final simplification98.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ -1.0 (+ 1.0 (* x 0.3275911)))))
(if (<= x -9e-10)
1.0
(if (<= x 0.75)
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218)))
(+
1.0
(*
(/ 1.0 (+ 1.0 (* (fabs x) 0.3275911)))
(*
(exp (* x (- x)))
(- (* (- -0.284496736 (* 1.421413741 t_0)) t_0) 0.254829592))))))))
double code(double x) {
double t_0 = -1.0 / (1.0 + (x * 0.3275911));
double tmp;
if (x <= -9e-10) {
tmp = 1.0;
} else if (x <= 0.75) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + ((1.0 / (1.0 + (fabs(x) * 0.3275911))) * (exp((x * -x)) * (((-0.284496736 - (1.421413741 * t_0)) * t_0) - 0.254829592)));
}
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 + (x * 0.3275911d0))
if (x <= (-9d-10)) then
tmp = 1.0d0
else if (x <= 0.75d0) then
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (1d-9 - (x * 1.128386358070218d0))
else
tmp = 1.0d0 + ((1.0d0 / (1.0d0 + (abs(x) * 0.3275911d0))) * (exp((x * -x)) * ((((-0.284496736d0) - (1.421413741d0 * t_0)) * t_0) - 0.254829592d0)))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = -1.0 / (1.0 + (x * 0.3275911));
double tmp;
if (x <= -9e-10) {
tmp = 1.0;
} else if (x <= 0.75) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0 + ((1.0 / (1.0 + (Math.abs(x) * 0.3275911))) * (Math.exp((x * -x)) * (((-0.284496736 - (1.421413741 * t_0)) * t_0) - 0.254829592)));
}
return tmp;
}
def code(x): t_0 = -1.0 / (1.0 + (x * 0.3275911)) tmp = 0 if x <= -9e-10: tmp = 1.0 elif x <= 0.75: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) else: tmp = 1.0 + ((1.0 / (1.0 + (math.fabs(x) * 0.3275911))) * (math.exp((x * -x)) * (((-0.284496736 - (1.421413741 * t_0)) * t_0) - 0.254829592))) return tmp
function code(x) t_0 = Float64(-1.0 / Float64(1.0 + Float64(x * 0.3275911))) tmp = 0.0 if (x <= -9e-10) tmp = 1.0; elseif (x <= 0.75) tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / Float64(1e-9 - Float64(x * 1.128386358070218))); else tmp = Float64(1.0 + Float64(Float64(1.0 / Float64(1.0 + Float64(abs(x) * 0.3275911))) * Float64(exp(Float64(x * Float64(-x))) * Float64(Float64(Float64(-0.284496736 - Float64(1.421413741 * t_0)) * t_0) - 0.254829592)))); end return tmp end
function tmp_2 = code(x) t_0 = -1.0 / (1.0 + (x * 0.3275911)); tmp = 0.0; if (x <= -9e-10) tmp = 1.0; elseif (x <= 0.75) tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); else tmp = 1.0 + ((1.0 / (1.0 + (abs(x) * 0.3275911))) * (exp((x * -x)) * (((-0.284496736 - (1.421413741 * t_0)) * t_0) - 0.254829592))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(-1.0 / N[(1.0 + N[(x * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, -9e-10], 1.0, If[LessEqual[x, 0.75], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(1.0 + N[(N[(1.0 / N[(1.0 + N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * (-x)), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(-0.284496736 - N[(1.421413741 * t$95$0), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] - 0.254829592), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{-1}{1 + x \cdot 0.3275911}\\
\mathbf{if}\;x \leq -9 \cdot 10^{-10}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 0.75:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\mathbf{else}:\\
\;\;\;\;1 + \frac{1}{1 + \left|x\right| \cdot 0.3275911} \cdot \left(e^{x \cdot \left(-x\right)} \cdot \left(\left(-0.284496736 - 1.421413741 \cdot t_0\right) \cdot t_0 - 0.254829592\right)\right)\\
\end{array}
\end{array}
if x < -8.9999999999999999e-10Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
add-log-exp100.0%
associate-*l/100.0%
Applied egg-rr3.1%
Taylor expanded in x around inf 100.0%
if -8.9999999999999999e-10 < x < 0.75Initial program 57.9%
associate-*l*57.9%
Simplified57.9%
add-log-exp55.7%
associate-*l/55.7%
Applied egg-rr54.7%
Taylor expanded in x around 0 98.2%
*-commutative98.2%
Simplified98.2%
flip-+98.2%
metadata-eval98.2%
Applied egg-rr98.2%
swap-sqr98.2%
metadata-eval98.2%
Simplified98.2%
if 0.75 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr100.0%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified100.0%
Taylor expanded in x around inf 98.9%
expm1-log1p-u100.0%
expm1-udef100.0%
log1p-udef100.0%
add-exp-log100.0%
+-commutative100.0%
fma-def100.0%
add-sqr-sqrt100.0%
fabs-sqr100.0%
add-sqr-sqrt100.0%
Applied egg-rr98.9%
fma-udef100.0%
associate--l+100.0%
metadata-eval100.0%
+-rgt-identity100.0%
Simplified98.9%
Final simplification98.8%
(FPCore (x)
:precision binary64
(if (<= x -9e-10)
1.0
(if (<= x 0.88)
(/
(- 1e-18 (* (* x x) 1.2732557730789702))
(- 1e-9 (* x 1.128386358070218)))
1.0)))
double code(double x) {
double tmp;
if (x <= -9e-10) {
tmp = 1.0;
} else if (x <= 0.88) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (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 <= (-9d-10)) then
tmp = 1.0d0
else if (x <= 0.88d0) then
tmp = (1d-18 - ((x * x) * 1.2732557730789702d0)) / (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 <= -9e-10) {
tmp = 1.0;
} else if (x <= 0.88) {
tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218));
} else {
tmp = 1.0;
}
return tmp;
}
def code(x): tmp = 0 if x <= -9e-10: tmp = 1.0 elif x <= 0.88: tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)) else: tmp = 1.0 return tmp
function code(x) tmp = 0.0 if (x <= -9e-10) tmp = 1.0; elseif (x <= 0.88) tmp = Float64(Float64(1e-18 - Float64(Float64(x * x) * 1.2732557730789702)) / 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 <= -9e-10) tmp = 1.0; elseif (x <= 0.88) tmp = (1e-18 - ((x * x) * 1.2732557730789702)) / (1e-9 - (x * 1.128386358070218)); else tmp = 1.0; end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, -9e-10], 1.0, If[LessEqual[x, 0.88], N[(N[(1e-18 - N[(N[(x * x), $MachinePrecision] * 1.2732557730789702), $MachinePrecision]), $MachinePrecision] / N[(1e-9 - N[(x * 1.128386358070218), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -9 \cdot 10^{-10}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 0.88:\\
\;\;\;\;\frac{10^{-18} - \left(x \cdot x\right) \cdot 1.2732557730789702}{10^{-9} - x \cdot 1.128386358070218}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -8.9999999999999999e-10 or 0.880000000000000004 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
add-log-exp100.0%
associate-*l/100.0%
Applied egg-rr1.8%
Taylor expanded in x around inf 100.0%
if -8.9999999999999999e-10 < x < 0.880000000000000004Initial program 58.2%
associate-*l*58.2%
Simplified58.2%
add-log-exp56.0%
associate-*l/56.0%
Applied egg-rr54.4%
Taylor expanded in x around 0 97.6%
*-commutative97.6%
Simplified97.6%
flip-+97.6%
metadata-eval97.6%
Applied egg-rr97.6%
swap-sqr97.6%
metadata-eval97.6%
Simplified97.6%
Final simplification98.8%
(FPCore (x) :precision binary64 (if (<= x -9e-10) 1.0 (if (<= x 0.88) (+ 1e-9 (* x 1.128386358070218)) 1.0)))
double code(double x) {
double tmp;
if (x <= -9e-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 <= (-9d-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 <= -9e-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 <= -9e-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 <= -9e-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 <= -9e-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, -9e-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 -9 \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 < -8.9999999999999999e-10 or 0.880000000000000004 < x Initial program 100.0%
associate-*l*100.0%
Simplified100.0%
add-log-exp100.0%
associate-*l/100.0%
Applied egg-rr1.8%
Taylor expanded in x around inf 100.0%
if -8.9999999999999999e-10 < x < 0.880000000000000004Initial program 58.2%
associate-*l*58.2%
Simplified58.2%
add-log-exp56.0%
associate-*l/56.0%
Applied egg-rr54.4%
Taylor expanded in x around 0 97.6%
*-commutative97.6%
Simplified97.6%
Final simplification98.8%
(FPCore (x) :precision binary64 (if (<= x -2.8e-5) 1.0 (if (<= x 2.8e-5) 1e-9 1.0)))
double code(double x) {
double tmp;
if (x <= -2.8e-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 <= (-2.8d-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 <= -2.8e-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 <= -2.8e-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 <= -2.8e-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 <= -2.8e-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, -2.8e-5], 1.0, If[LessEqual[x, 2.8e-5], 1e-9, 1.0]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq -2.8 \cdot 10^{-5}:\\
\;\;\;\;1\\
\mathbf{elif}\;x \leq 2.8 \cdot 10^{-5}:\\
\;\;\;\;10^{-9}\\
\mathbf{else}:\\
\;\;\;\;1\\
\end{array}
\end{array}
if x < -2.79999999999999996e-5 or 2.79999999999999996e-5 < x Initial program 99.9%
associate-*l*99.9%
Simplified99.9%
add-log-exp100.0%
associate-*l/100.0%
Applied egg-rr2.1%
Taylor expanded in x around inf 98.7%
if -2.79999999999999996e-5 < x < 2.79999999999999996e-5Initial program 57.6%
associate-*l*57.6%
Simplified57.6%
add-log-exp55.4%
associate-*l/55.4%
Applied egg-rr54.9%
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 79.3%
associate-*l*79.3%
Simplified79.3%
add-log-exp78.2%
associate-*l/78.2%
Applied egg-rr27.9%
Taylor expanded in x around 0 53.2%
Final simplification53.2%
herbie shell --seed 2023187
(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)))))))