
(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 16 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 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2
(+
0.254829592
(/
(+
0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_1))
t_1)))
(t_3 (/ t_2 (* (pow (exp x) x) t_0)))
(t_4 (fma t_3 (fma (/ (pow (exp x) (- x)) t_0) t_2 1.0) 1.0))
(t_5 (pow t_3 3.0)))
(/
(- (pow t_4 -2.0) (pow (/ (- t_5) t_4) 2.0))
(+ (/ t_5 t_4) (pow t_4 -1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = 0.254829592 + ((0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_1)) / t_1);
double t_3 = t_2 / (pow(exp(x), x) * t_0);
double t_4 = fma(t_3, fma((pow(exp(x), -x) / t_0), t_2, 1.0), 1.0);
double t_5 = pow(t_3, 3.0);
return (pow(t_4, -2.0) - pow((-t_5 / t_4), 2.0)) / ((t_5 / t_4) + pow(t_4, -1.0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_1)) / t_1)) t_3 = Float64(t_2 / Float64((exp(x) ^ x) * t_0)) t_4 = fma(t_3, fma(Float64((exp(x) ^ Float64(-x)) / t_0), t_2, 1.0), 1.0) t_5 = t_3 ^ 3.0 return Float64(Float64((t_4 ^ -2.0) - (Float64(Float64(-t_5) / t_4) ^ 2.0)) / Float64(Float64(t_5 / t_4) + (t_4 ^ -1.0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.254829592 + N[(N[(0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$3, 3.0], $MachinePrecision]}, N[(N[(N[Power[t$95$4, -2.0], $MachinePrecision] - N[Power[N[((-t$95$5) / t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$5 / t$95$4), $MachinePrecision] + N[Power[t$95$4, -1.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := 0.254829592 + \frac{0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_1}}{t\_1}\\
t_3 := \frac{t\_2}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_4 := \mathsf{fma}\left(t\_3, \mathsf{fma}\left(\frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, t\_2, 1\right), 1\right)\\
t_5 := {t\_3}^{3}\\
\frac{{t\_4}^{-2} - {\left(\frac{-t\_5}{t\_4}\right)}^{2}}{\frac{t\_5}{t\_4} + {t\_4}^{-1}}
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites79.5%
Applied rewrites80.2%
lift-+.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
flip3-+N/A
lower-/.f64N/A
lower-+.f64N/A
lower-pow.f64N/A
metadata-evalN/A
associate-+r-N/A
lower--.f64N/A
Applied rewrites80.2%
Applied rewrites86.2%
Final simplification86.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma -0.3275911 (fabs x) -1.0))
(t_1 (pow (exp x) (- x)))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_2) -1.453152027) t_2) 1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592))
(t_4 (pow (exp x) x))
(t_5 (fma (/ t_3 t_4) (/ (fma (/ t_1 t_2) t_3 1.0) t_2) 1.0))
(t_6 (fma (fabs x) 0.3275911 1.0))
(t_7
(+
0.254829592
(/
(+
0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_6)) t_6))
t_0))
t_0))))
(fma
t_5
(pow t_5 -2.0)
(*
(/ -1.0 (fma (/ (fma (/ t_1 t_6) t_7 1.0) t_6) (/ t_7 t_4) 1.0))
(pow
(/
(/
(+
(/
(+
(/
(-
(+ (/ 1.061405429 (pow t_6 2.0)) 1.421413741)
(/ 1.453152027 t_6))
t_2)
-0.284496736)
t_2)
0.254829592)
t_2)
t_4)
3.0)))))
double code(double x) {
double t_0 = fma(-0.3275911, fabs(x), -1.0);
double t_1 = pow(exp(x), -x);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = (((((((1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_4 = pow(exp(x), x);
double t_5 = fma((t_3 / t_4), (fma((t_1 / t_2), t_3, 1.0) / t_2), 1.0);
double t_6 = fma(fabs(x), 0.3275911, 1.0);
double t_7 = 0.254829592 + ((0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_6)) / t_6)) / t_0)) / t_0);
return fma(t_5, pow(t_5, -2.0), ((-1.0 / fma((fma((t_1 / t_6), t_7, 1.0) / t_6), (t_7 / t_4), 1.0)) * pow((((((((((1.061405429 / pow(t_6, 2.0)) + 1.421413741) - (1.453152027 / t_6)) / t_2) + -0.284496736) / t_2) + 0.254829592) / t_2) / t_4), 3.0)));
}
function code(x) t_0 = fma(-0.3275911, abs(x), -1.0) t_1 = exp(x) ^ Float64(-x) t_2 = fma(0.3275911, abs(x), 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) t_4 = exp(x) ^ x t_5 = fma(Float64(t_3 / t_4), Float64(fma(Float64(t_1 / t_2), t_3, 1.0) / t_2), 1.0) t_6 = fma(abs(x), 0.3275911, 1.0) t_7 = Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_6)) / t_6)) / t_0)) / t_0)) return fma(t_5, (t_5 ^ -2.0), Float64(Float64(-1.0 / fma(Float64(fma(Float64(t_1 / t_6), t_7, 1.0) / t_6), Float64(t_7 / t_4), 1.0)) * (Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / (t_6 ^ 2.0)) + 1.421413741) - Float64(1.453152027 / t_6)) / t_2) + -0.284496736) / t_2) + 0.254829592) / t_2) / t_4) ^ 3.0))) end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 / t$95$4), $MachinePrecision] * N[(N[(N[(t$95$1 / t$95$2), $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[(0.254829592 + N[(N[(0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(t$95$5 * N[Power[t$95$5, -2.0], $MachinePrecision] + N[(N[(-1.0 / N[(N[(N[(N[(t$95$1 / t$95$6), $MachinePrecision] * t$95$7 + 1.0), $MachinePrecision] / t$95$6), $MachinePrecision] * N[(t$95$7 / t$95$4), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[Power[t$95$6, 2.0], $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$2), $MachinePrecision] / t$95$4), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_1 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} + -1.453152027}{t\_2} + 1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
t_4 := {\left(e^{x}\right)}^{x}\\
t_5 := \mathsf{fma}\left(\frac{t\_3}{t\_4}, \frac{\mathsf{fma}\left(\frac{t\_1}{t\_2}, t\_3, 1\right)}{t\_2}, 1\right)\\
t_6 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_7 := 0.254829592 + \frac{0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_6}}{t\_6}}{t\_0}}{t\_0}\\
\mathsf{fma}\left(t\_5, {t\_5}^{-2}, \frac{-1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{t\_1}{t\_6}, t\_7, 1\right)}{t\_6}, \frac{t\_7}{t\_4}, 1\right)} \cdot {\left(\frac{\frac{\frac{\frac{\left(\frac{1.061405429}{{t\_6}^{2}} + 1.421413741\right) - \frac{1.453152027}{t\_6}}{t\_2} + -0.284496736}{t\_2} + 0.254829592}{t\_2}}{t\_4}\right)}^{3}\right)
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites79.5%
Applied rewrites80.2%
Applied rewrites80.2%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower-pow.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fabs.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites80.3%
Final simplification80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma -0.3275911 (fabs x) -1.0))
(t_1 (pow (exp x) (- x)))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_2) -1.453152027) t_2) 1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592))
(t_4 (pow (exp x) x))
(t_5 (fma (/ t_3 t_4) (/ (fma (/ t_1 t_2) t_3 1.0) t_2) 1.0))
(t_6 (fma (fabs x) 0.3275911 1.0))
(t_7 (+ -1.453152027 (/ 1.061405429 t_6)))
(t_8
(+
0.254829592
(/ (+ 0.284496736 (/ (+ 1.421413741 (/ t_7 t_6)) t_0)) t_0))))
(fma
t_5
(pow t_5 -2.0)
(*
(/ -1.0 (fma (/ (fma (/ t_1 t_6) t_8 1.0) t_6) (/ t_8 t_4) 1.0))
(pow
(/
(/
(+
(/ (+ (/ (fma t_7 (pow t_6 -1.0) 1.421413741) t_2) -0.284496736) t_2)
0.254829592)
t_2)
t_4)
3.0)))))
double code(double x) {
double t_0 = fma(-0.3275911, fabs(x), -1.0);
double t_1 = pow(exp(x), -x);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = (((((((1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_4 = pow(exp(x), x);
double t_5 = fma((t_3 / t_4), (fma((t_1 / t_2), t_3, 1.0) / t_2), 1.0);
double t_6 = fma(fabs(x), 0.3275911, 1.0);
double t_7 = -1.453152027 + (1.061405429 / t_6);
double t_8 = 0.254829592 + ((0.284496736 + ((1.421413741 + (t_7 / t_6)) / t_0)) / t_0);
return fma(t_5, pow(t_5, -2.0), ((-1.0 / fma((fma((t_1 / t_6), t_8, 1.0) / t_6), (t_8 / t_4), 1.0)) * pow(((((((fma(t_7, pow(t_6, -1.0), 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) / t_2) / t_4), 3.0)));
}
function code(x) t_0 = fma(-0.3275911, abs(x), -1.0) t_1 = exp(x) ^ Float64(-x) t_2 = fma(0.3275911, abs(x), 1.0) t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) t_4 = exp(x) ^ x t_5 = fma(Float64(t_3 / t_4), Float64(fma(Float64(t_1 / t_2), t_3, 1.0) / t_2), 1.0) t_6 = fma(abs(x), 0.3275911, 1.0) t_7 = Float64(-1.453152027 + Float64(1.061405429 / t_6)) t_8 = Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(Float64(1.421413741 + Float64(t_7 / t_6)) / t_0)) / t_0)) return fma(t_5, (t_5 ^ -2.0), Float64(Float64(-1.0 / fma(Float64(fma(Float64(t_1 / t_6), t_8, 1.0) / t_6), Float64(t_8 / t_4), 1.0)) * (Float64(Float64(Float64(Float64(Float64(Float64(fma(t_7, (t_6 ^ -1.0), 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) / t_2) / t_4) ^ 3.0))) end
code[x_] := Block[{t$95$0 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$5 = N[(N[(t$95$3 / t$95$4), $MachinePrecision] * N[(N[(N[(t$95$1 / t$95$2), $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[(-1.453152027 + N[(1.061405429 / t$95$6), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$8 = N[(0.254829592 + N[(N[(0.284496736 + N[(N[(1.421413741 + N[(t$95$7 / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(t$95$5 * N[Power[t$95$5, -2.0], $MachinePrecision] + N[(N[(-1.0 / N[(N[(N[(N[(t$95$1 / t$95$6), $MachinePrecision] * t$95$8 + 1.0), $MachinePrecision] / t$95$6), $MachinePrecision] * N[(t$95$8 / t$95$4), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[(N[(N[(N[(N[(N[(t$95$7 * N[Power[t$95$6, -1.0], $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$2), $MachinePrecision] / t$95$4), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_1 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} + -1.453152027}{t\_2} + 1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
t_4 := {\left(e^{x}\right)}^{x}\\
t_5 := \mathsf{fma}\left(\frac{t\_3}{t\_4}, \frac{\mathsf{fma}\left(\frac{t\_1}{t\_2}, t\_3, 1\right)}{t\_2}, 1\right)\\
t_6 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_7 := -1.453152027 + \frac{1.061405429}{t\_6}\\
t_8 := 0.254829592 + \frac{0.284496736 + \frac{1.421413741 + \frac{t\_7}{t\_6}}{t\_0}}{t\_0}\\
\mathsf{fma}\left(t\_5, {t\_5}^{-2}, \frac{-1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{t\_1}{t\_6}, t\_8, 1\right)}{t\_6}, \frac{t\_8}{t\_4}, 1\right)} \cdot {\left(\frac{\frac{\frac{\frac{\mathsf{fma}\left(t\_7, {t\_6}^{-1}, 1.421413741\right)}{t\_2} + -0.284496736}{t\_2} + 0.254829592}{t\_2}}{t\_4}\right)}^{3}\right)
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites79.5%
Applied rewrites80.2%
Applied rewrites80.2%
lift-+.f64N/A
lift-/.f64N/A
div-invN/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
lift-fma.f64N/A
+-commutativeN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
+-commutativeN/A
*-commutativeN/A
lift-fma.f64N/A
lower-fma.f64N/A
Applied rewrites80.2%
Final simplification80.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma -0.3275911 (fabs x) -1.0))
(t_2
(+
0.254829592
(/
(+
0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_1))
t_1)))
(t_3 (/ t_2 (* (pow (exp x) x) t_0)))
(t_4 (fma t_3 (fma (/ (pow (exp x) (- x)) t_0) t_2 1.0) 1.0)))
(fma t_4 (pow t_4 -2.0) (/ (- (pow t_3 3.0)) t_4))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(-0.3275911, fabs(x), -1.0);
double t_2 = 0.254829592 + ((0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_1)) / t_1);
double t_3 = t_2 / (pow(exp(x), x) * t_0);
double t_4 = fma(t_3, fma((pow(exp(x), -x) / t_0), t_2, 1.0), 1.0);
return fma(t_4, pow(t_4, -2.0), (-pow(t_3, 3.0) / t_4));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(-0.3275911, abs(x), -1.0) t_2 = Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_1)) / t_1)) t_3 = Float64(t_2 / Float64((exp(x) ^ x) * t_0)) t_4 = fma(t_3, fma(Float64((exp(x) ^ Float64(-x)) / t_0), t_2, 1.0), 1.0) return fma(t_4, (t_4 ^ -2.0), Float64(Float64(-(t_3 ^ 3.0)) / t_4)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.254829592 + N[(N[(0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 * N[(N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]}, N[(t$95$4 * N[Power[t$95$4, -2.0], $MachinePrecision] + N[((-N[Power[t$95$3, 3.0], $MachinePrecision]) / t$95$4), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
t_2 := 0.254829592 + \frac{0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_1}}{t\_1}\\
t_3 := \frac{t\_2}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_4 := \mathsf{fma}\left(t\_3, \mathsf{fma}\left(\frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, t\_2, 1\right), 1\right)\\
\mathsf{fma}\left(t\_4, {t\_4}^{-2}, \frac{-{t\_3}^{3}}{t\_4}\right)
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites79.5%
Applied rewrites80.2%
lift-+.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
flip3-+N/A
lower-/.f64N/A
lower-+.f64N/A
lower-pow.f64N/A
metadata-evalN/A
associate-+r-N/A
lower--.f64N/A
Applied rewrites80.2%
Applied rewrites80.2%
Final simplification80.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)))
(t_2 (+ (/ (+ (/ t_1 t_0) -0.284496736) t_0) 0.254829592))
(t_3 (* (pow (exp x) x) t_0))
(t_4 (fma -0.3275911 (fabs x) -1.0)))
(/
(-
1.0
(/
1.0
(/
(pow t_3 3.0)
(pow (+ 0.254829592 (/ (+ 0.284496736 (/ t_1 t_4)) t_4)) 3.0))))
(fma (/ t_2 t_3) (fma (pow (exp x) (- x)) (/ t_2 t_0) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0);
double t_2 = (((t_1 / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_3 = pow(exp(x), x) * t_0;
double t_4 = fma(-0.3275911, fabs(x), -1.0);
return (1.0 - (1.0 / (pow(t_3, 3.0) / pow((0.254829592 + ((0.284496736 + (t_1 / t_4)) / t_4)), 3.0)))) / fma((t_2 / t_3), fma(pow(exp(x), -x), (t_2 / t_0), 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) t_2 = Float64(Float64(Float64(Float64(t_1 / t_0) + -0.284496736) / t_0) + 0.254829592) t_3 = Float64((exp(x) ^ x) * t_0) t_4 = fma(-0.3275911, abs(x), -1.0) return Float64(Float64(1.0 - Float64(1.0 / Float64((t_3 ^ 3.0) / (Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(t_1 / t_4)) / t_4)) ^ 3.0)))) / fma(Float64(t_2 / t_3), fma((exp(x) ^ Float64(-x)), Float64(t_2 / t_0), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$3 = N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(1.0 - N[(1.0 / N[(N[Power[t$95$3, 3.0], $MachinePrecision] / N[Power[N[(0.254829592 + N[(N[(0.284496736 + N[(t$95$1 / t$95$4), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$2 / t$95$3), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(t$95$2 / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}\\
t_2 := \frac{\frac{t\_1}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_3 := {\left(e^{x}\right)}^{x} \cdot t\_0\\
t_4 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
\frac{1 - \frac{1}{\frac{{t\_3}^{3}}{{\left(0.254829592 + \frac{0.284496736 + \frac{t\_1}{t\_4}}{t\_4}\right)}^{3}}}}{\mathsf{fma}\left(\frac{t\_2}{t\_3}, \mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{t\_2}{t\_0}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites78.8%
Applied rewrites79.9%
Final simplification79.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (exp x) (- x)))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_1)) t_1)))
(t_3 (+ (/ (+ (/ t_2 t_1) -0.284496736) t_1) 0.254829592))
(t_4 (fma -0.3275911 (fabs x) -1.0)))
(/
(-
1.0
(/
(pow (* t_0 (+ 0.254829592 (/ (+ 0.284496736 (/ t_2 t_4)) t_4))) 3.0)
(pow t_1 3.0)))
(fma (/ t_3 (* (pow (exp x) x) t_1)) (fma t_0 (/ t_3 t_1) 1.0) 1.0))))
double code(double x) {
double t_0 = pow(exp(x), -x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = 1.421413741 + ((-1.453152027 + (1.061405429 / t_1)) / t_1);
double t_3 = (((t_2 / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_4 = fma(-0.3275911, fabs(x), -1.0);
return (1.0 - (pow((t_0 * (0.254829592 + ((0.284496736 + (t_2 / t_4)) / t_4))), 3.0) / pow(t_1, 3.0))) / fma((t_3 / (pow(exp(x), x) * t_1)), fma(t_0, (t_3 / t_1), 1.0), 1.0);
}
function code(x) t_0 = exp(x) ^ Float64(-x) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_1)) / t_1)) t_3 = Float64(Float64(Float64(Float64(t_2 / t_1) + -0.284496736) / t_1) + 0.254829592) t_4 = fma(-0.3275911, abs(x), -1.0) return Float64(Float64(1.0 - Float64((Float64(t_0 * Float64(0.254829592 + Float64(Float64(0.284496736 + Float64(t_2 / t_4)) / t_4))) ^ 3.0) / (t_1 ^ 3.0))) / fma(Float64(t_3 / Float64((exp(x) ^ x) * t_1)), fma(t_0, Float64(t_3 / t_1), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(t$95$2 / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(1.0 - N[(N[Power[N[(t$95$0 * N[(0.254829592 + N[(N[(0.284496736 + N[(t$95$2 / t$95$4), $MachinePrecision]), $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$3 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(t$95$0 * N[(t$95$3 / t$95$1), $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := 1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_1}}{t\_1}\\
t_3 := \frac{\frac{t\_2}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_4 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
\frac{1 - \frac{{\left(t\_0 \cdot \left(0.254829592 + \frac{0.284496736 + \frac{t\_2}{t\_4}}{t\_4}\right)\right)}^{3}}{{t\_1}^{3}}}{\mathsf{fma}\left(\frac{t\_3}{{\left(e^{x}\right)}^{x} \cdot t\_1}, \mathsf{fma}\left(t\_0, \frac{t\_3}{t\_1}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 78.7%
Applied rewrites78.8%
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(fma
(fma (fabs x) 0.3275911 -1.0)
(/
(+
0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
(fma -0.3275911 (fabs x) -1.0)))
(fma (* -0.10731592879921 x) x 1.0))
0.254829592))
(t_2 (/ (/ t_1 (pow (exp x) x)) t_0)))
(/
(- 1.0 (pow t_2 3.0))
(+ (* (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0) t_2) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(fma(fabs(x), 0.3275911, -1.0), ((0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / fma(-0.3275911, fabs(x), -1.0))) / fma((-0.10731592879921 * x), x, 1.0)), 0.254829592);
double t_2 = (t_1 / pow(exp(x), x)) / t_0;
return (1.0 - pow(t_2, 3.0)) / ((fma((t_1 / t_0), pow(exp(x), -x), 1.0) * t_2) + 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(fma(abs(x), 0.3275911, -1.0), Float64(Float64(0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / fma(-0.3275911, abs(x), -1.0))) / fma(Float64(-0.10731592879921 * x), x, 1.0)), 0.254829592) t_2 = Float64(Float64(t_1 / (exp(x) ^ x)) / t_0) return Float64(Float64(1.0 - (t_2 ^ 3.0)) / Float64(Float64(fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0) * t_2) + 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $MachinePrecision] * N[(N[(0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(-0.10731592879921 * x), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] * t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(\mathsf{fma}\left(\left|x\right|, 0.3275911, -1\right), \frac{0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{\mathsf{fma}\left(-0.10731592879921 \cdot x, x, 1\right)}, 0.254829592\right)\\
t_2 := \frac{\frac{t\_1}{{\left(e^{x}\right)}^{x}}}{t\_0}\\
\frac{1 - {t\_2}^{3}}{\mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right) \cdot t\_2 + 1}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.7%
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(exp (* (- (fabs x)) (fabs x)))
(/
(+
(/
(+
(/
(- (+ (/ 1.061405429 (pow t_0 2.0)) 1.421413741) (/ 1.453152027 t_0))
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (exp((-fabs(x) * fabs(x))) * ((((((((1.061405429 / pow(t_0, 2.0)) + 1.421413741) - (1.453152027 / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-abs(x)) * abs(x))) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / (t_0 ^ 2.0)) + 1.421413741) - Float64(1.453152027 / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[Power[t$95$0, 2.0], $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] - N[(1.453152027 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - e^{\left(-\left|x\right|\right) \cdot \left|x\right|} \cdot \frac{\frac{\frac{\left(\frac{1.061405429}{{t\_0}^{2}} + 1.421413741\right) - \frac{1.453152027}{t\_0}}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
Taylor expanded in x around 0
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
lower-pow.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fabs.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (fma (* x x) 0.10731592879921 -1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(fma
(/ 1.061405429 t_1)
(fma 0.3275911 (fabs x) -1.0)
-1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(/ t_1 (fma (fabs x) 0.3275911 -1.0)))
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma((x * x), 0.10731592879921, -1.0);
return 1.0 - ((((((((fma((1.061405429 / t_1), fma(0.3275911, fabs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (t_1 / fma(fabs(x), 0.3275911, -1.0))) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(Float64(x * x), 0.10731592879921, -1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(1.061405429 / t_1), fma(0.3275911, abs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(t_1 / fma(abs(x), 0.3275911, -1.0))) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$1 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)\\
1 - \frac{\frac{\frac{\frac{\mathsf{fma}\left(\frac{1.061405429}{t\_1}, \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right), -1.453152027\right)}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\frac{t\_1}{\mathsf{fma}\left(\left|x\right|, 0.3275911, -1\right)}} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.7%
lift-fma.f64N/A
*-commutativeN/A
flip-+N/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
sub-negN/A
metadata-evalN/A
swap-sqrN/A
metadata-evalN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64N/A
*-commutativeN/A
lift-fma.f64N/A
sub-negN/A
metadata-evalN/A
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (+ (* 0.3275911 (fabs x)) 1.0)))
(t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(*
(+
(*
(+
(*
(/
(+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741)
(fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0))
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = 1.0 / ((0.3275911 * fabs(x)) + 1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (((((((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / fma((x * x), 0.10731592879921, -1.0)) * fma(0.3275911, fabs(x), -1.0)) + -0.284496736) * t_0) + 0.254829592) * t_0) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = Float64(1.0 / Float64(Float64(0.3275911 * abs(x)) + 1.0)) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / fma(Float64(x * x), 0.10731592879921, -1.0)) * fma(0.3275911, abs(x), -1.0)) + -0.284496736) * t_0) + 0.254829592) * t_0) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(1.0 / N[(N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + -0.284496736), $MachinePrecision] * t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] * t$95$0), $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}{0.3275911 \cdot \left|x\right| + 1}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \left(\left(\left(\frac{\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)} \cdot \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right) + -0.284496736\right) \cdot t\_0 + 0.254829592\right) \cdot t\_0\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.7%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
frac-2negN/A
metadata-evalN/A
associate-*l/N/A
div-invN/A
metadata-evalN/A
frac-2negN/A
lower-fma.f64N/A
metadata-evalN/A
lower-/.f6478.7
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f6478.7
Applied rewrites78.7%
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(/
(fma
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
(fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0)
0.254829592)
(fma (fabs x) 0.3275911 1.0))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (exp((-x * x)) * (fma((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / fma((x * x), 0.10731592879921, -1.0)), fma(0.3275911, fabs(x), -1.0), 0.254829592) / fma(fabs(x), 0.3275911, 1.0)));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-x) * x)) * Float64(fma(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / fma(Float64(x * x), 0.10731592879921, -1.0)), fma(0.3275911, abs(x), -1.0), 0.254829592) / fma(abs(x), 0.3275911, 1.0)))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - e^{\left(-x\right) \cdot x} \cdot \frac{\mathsf{fma}\left(\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)}, \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right), 0.254829592\right)}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.7
Applied rewrites78.7%
Final simplification78.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(fma
(- (+ (/ 1.061405429 t_1) -1.453152027))
(/ -1.0 t_1)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((((((fma(-((1.061405429 / t_1) + -1.453152027), (-1.0 / t_1), 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(-Float64(Float64(1.061405429 / t_1) + -1.453152027)), Float64(-1.0 / t_1), 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[((-N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision]) * N[(-1.0 / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{\frac{\frac{\mathsf{fma}\left(-\left(\frac{1.061405429}{t\_1} + -1.453152027\right), \frac{-1}{t\_1}, 1.421413741\right)}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
frac-2negN/A
div-invN/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
lower-fma.f64N/A
lower-neg.f6478.7
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6478.7
lift-fma.f64N/A
*-commutativeN/A
lower-fma.f6478.7
Applied rewrites78.7%
Final simplification78.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(/
(fma
(/ -1.0 t_0)
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
(fma -0.3275911 (fabs x) -1.0))
0.284496736)
0.254829592)
(fma (fabs x) 0.3275911 1.0))
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((fma((-1.0 / t_0), ((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / fma(-0.3275911, fabs(x), -1.0)) + 0.284496736), 0.254829592) / fma(fabs(x), 0.3275911, 1.0)) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(fma(Float64(-1.0 / t_0), Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / fma(-0.3275911, abs(x), -1.0)) + 0.284496736), 0.254829592) / fma(abs(x), 0.3275911, 1.0)) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(-1.0 / t$95$0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 0.284496736), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $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 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{\mathsf{fma}\left(\frac{-1}{t\_0}, \frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} + 0.284496736, 0.254829592\right)}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
frac-2negN/A
clear-numN/A
associate-/r/N/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
lower-fma.f64N/A
Applied rewrites78.7%
Final simplification78.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(/
(+
(/
(+
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0)
-0.284496736)
t_0)
0.254829592)
t_0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (exp((-x * x)) * ((((((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-x) * x)) * Float64(Float64(Float64(Float64(Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - e^{\left(-x\right) \cdot x} \cdot \frac{\frac{\frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.7
Applied rewrites78.7%
Final simplification78.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(fma (fma (fabs x) 0.3275911 -1.0) -1.061405429 -1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((((((fma(fma(fabs(x), 0.3275911, -1.0), -1.061405429, -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(fma(abs(x), 0.3275911, -1.0), -1.061405429, -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $MachinePrecision] * -1.061405429 + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\mathsf{fma}\left(\mathsf{fma}\left(\left|x\right|, 0.3275911, -1\right), -1.061405429, -1.453152027\right)}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.7%
Taylor expanded in x around 0
sub-negN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
lower-fma.f64N/A
lower-fabs.f64N/A
metadata-eval78.6
Applied rewrites78.6%
Final simplification78.6%
(FPCore (x) :precision binary64 (- 1.0 (* (/ (exp (* (- x) x)) (fma (fabs x) 0.3275911 1.0)) 0.254829592)))
double code(double x) {
return 1.0 - ((exp((-x * x)) / fma(fabs(x), 0.3275911, 1.0)) * 0.254829592);
}
function code(x) return Float64(1.0 - Float64(Float64(exp(Float64(Float64(-x) * x)) / fma(abs(x), 0.3275911, 1.0)) * 0.254829592)) end
code[x_] := N[(1.0 - N[(N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision] * 0.254829592), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 - \frac{e^{\left(-x\right) \cdot x}}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)} \cdot 0.254829592
\end{array}
Initial program 78.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.7
Applied rewrites78.7%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.7%
Taylor expanded in x around inf
*-commutativeN/A
lower-*.f64N/A
exp-negN/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-negN/A
lower-/.f64N/A
lower-exp.f64N/A
unpow2N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fabs.f6455.2
Applied rewrites55.2%
herbie shell --seed 2024304
(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)))))))