
(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 13 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
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (/ t_1 (* (pow (exp x) x) t_0)))
(t_3 (pow t_2 3.0))
(t_4 (fma (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0) t_2 1.0)))
(/
(- (pow t_4 -2.0) (pow (/ (- t_3) t_4) 2.0))
(+ (pow t_4 -1.0) (/ t_3 t_4)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = t_1 / (pow(exp(x), x) * t_0);
double t_3 = pow(t_2, 3.0);
double t_4 = fma(fma((t_1 / t_0), pow(exp(x), -x), 1.0), t_2, 1.0);
return (pow(t_4, -2.0) - pow((-t_3 / t_4), 2.0)) / (pow(t_4, -1.0) + (t_3 / t_4));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = Float64(t_1 / Float64((exp(x) ^ x) * t_0)) t_3 = t_2 ^ 3.0 t_4 = fma(fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0), t_2, 1.0) return Float64(Float64((t_4 ^ -2.0) - (Float64(Float64(-t_3) / t_4) ^ 2.0)) / Float64((t_4 ^ -1.0) + Float64(t_3 / t_4))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.254829592 + 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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Power[t$95$2, 3.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision]}, N[(N[(N[Power[t$95$4, -2.0], $MachinePrecision] - N[Power[N[((-t$95$3) / t$95$4), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[t$95$4, -1.0], $MachinePrecision] + N[(t$95$3 / t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := \frac{t\_1}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_3 := {t\_2}^{3}\\
t_4 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right), t\_2, 1\right)\\
\frac{{t\_4}^{-2} - {\left(\frac{-t\_3}{t\_4}\right)}^{2}}{{t\_4}^{-1} + \frac{t\_3}{t\_4}}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.7%
Applied rewrites80.4%
Applied rewrites86.5%
Final simplification86.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0))
(t_3 (/ t_1 (* (pow (exp x) x) t_0)))
(t_4 (pow t_3 3.0))
(t_5 (fma t_2 t_3 1.0)))
(/
(- (pow t_5 -2.0) (pow (/ (- t_4) t_5) 2.0))
(+
(/ t_4 (fma t_2 (/ t_1 (* (pow (+ 1.0 x) x) t_0)) 1.0))
(pow t_5 -1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = fma((t_1 / t_0), pow(exp(x), -x), 1.0);
double t_3 = t_1 / (pow(exp(x), x) * t_0);
double t_4 = pow(t_3, 3.0);
double t_5 = fma(t_2, t_3, 1.0);
return (pow(t_5, -2.0) - pow((-t_4 / t_5), 2.0)) / ((t_4 / fma(t_2, (t_1 / (pow((1.0 + x), x) * t_0)), 1.0)) + pow(t_5, -1.0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0) t_3 = Float64(t_1 / Float64((exp(x) ^ x) * t_0)) t_4 = t_3 ^ 3.0 t_5 = fma(t_2, t_3, 1.0) return Float64(Float64((t_5 ^ -2.0) - (Float64(Float64(-t_4) / t_5) ^ 2.0)) / Float64(Float64(t_4 / fma(t_2, Float64(t_1 / Float64((Float64(1.0 + x) ^ x) * t_0)), 1.0)) + (t_5 ^ -1.0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.254829592 + 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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Power[t$95$3, 3.0], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$2 * t$95$3 + 1.0), $MachinePrecision]}, N[(N[(N[Power[t$95$5, -2.0], $MachinePrecision] - N[Power[N[((-t$95$4) / t$95$5), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$4 / N[(t$95$2 * N[(t$95$1 / N[(N[Power[N[(1.0 + x), $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] + N[Power[t$95$5, -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 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := \mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right)\\
t_3 := \frac{t\_1}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_4 := {t\_3}^{3}\\
t_5 := \mathsf{fma}\left(t\_2, t\_3, 1\right)\\
\frac{{t\_5}^{-2} - {\left(\frac{-t\_4}{t\_5}\right)}^{2}}{\frac{t\_4}{\mathsf{fma}\left(t\_2, \frac{t\_1}{{\left(1 + x\right)}^{x} \cdot t\_0}, 1\right)} + {t\_5}^{-1}}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.7%
Applied rewrites80.4%
Applied rewrites86.5%
Taylor expanded in x around 0
lower-+.f6485.7
Applied rewrites85.7%
Final simplification85.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (/ t_1 (* (pow (exp x) x) t_0)))
(t_3 (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0))
(t_4 (* t_2 t_3)))
(fma
(/ 1.0 (+ (pow t_4 3.0) 1.0))
(+ (pow t_4 2.0) (- 1.0 t_4))
(/ (- (pow t_2 3.0)) (fma t_3 t_2 1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = t_1 / (pow(exp(x), x) * t_0);
double t_3 = fma((t_1 / t_0), pow(exp(x), -x), 1.0);
double t_4 = t_2 * t_3;
return fma((1.0 / (pow(t_4, 3.0) + 1.0)), (pow(t_4, 2.0) + (1.0 - t_4)), (-pow(t_2, 3.0) / fma(t_3, t_2, 1.0)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = Float64(t_1 / Float64((exp(x) ^ x) * t_0)) t_3 = fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0) t_4 = Float64(t_2 * t_3) return fma(Float64(1.0 / Float64((t_4 ^ 3.0) + 1.0)), Float64((t_4 ^ 2.0) + Float64(1.0 - t_4)), Float64(Float64(-(t_2 ^ 3.0)) / fma(t_3, 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[(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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 * t$95$3), $MachinePrecision]}, N[(N[(1.0 / N[(N[Power[t$95$4, 3.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$4, 2.0], $MachinePrecision] + N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision] + N[((-N[Power[t$95$2, 3.0], $MachinePrecision]) / N[(t$95$3 * t$95$2 + 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 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := \frac{t\_1}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right)\\
t_4 := t\_2 \cdot t\_3\\
\mathsf{fma}\left(\frac{1}{{t\_4}^{3} + 1}, {t\_4}^{2} + \left(1 - t\_4\right), \frac{-{t\_2}^{3}}{\mathsf{fma}\left(t\_3, t\_2, 1\right)}\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.7%
Applied rewrites80.4%
Applied rewrites81.4%
Final simplification81.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (/ t_1 (* (pow (exp x) x) t_0)))
(t_3 (fma (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0) t_2 1.0)))
(fma t_3 (pow t_3 -2.0) (/ (- (pow t_2 3.0)) t_3))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = t_1 / (pow(exp(x), x) * t_0);
double t_3 = fma(fma((t_1 / t_0), pow(exp(x), -x), 1.0), t_2, 1.0);
return fma(t_3, pow(t_3, -2.0), (-pow(t_2, 3.0) / t_3));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = Float64(t_1 / Float64((exp(x) ^ x) * t_0)) t_3 = fma(fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0), t_2, 1.0) return fma(t_3, (t_3 ^ -2.0), Float64(Float64(-(t_2 ^ 3.0)) / t_3)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision]}, N[(t$95$3 * N[Power[t$95$3, -2.0], $MachinePrecision] + N[((-N[Power[t$95$2, 3.0], $MachinePrecision]) / t$95$3), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := \frac{t\_1}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right), t\_2, 1\right)\\
\mathsf{fma}\left(t\_3, {t\_3}^{-2}, \frac{-{t\_2}^{3}}{t\_3}\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.7%
Applied rewrites80.4%
Applied rewrites80.4%
Final simplification80.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (* (pow (exp x) x) t_0)))
(/
(- 1.0 (/ 1.0 (/ (pow t_2 3.0) (pow t_1 3.0))))
(fma (/ t_1 t_2) (fma (pow (exp x) (- x)) (/ t_1 t_0) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = pow(exp(x), x) * t_0;
return (1.0 - (1.0 / (pow(t_2, 3.0) / pow(t_1, 3.0)))) / fma((t_1 / t_2), fma(pow(exp(x), -x), (t_1 / t_0), 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = Float64((exp(x) ^ x) * t_0) return Float64(Float64(1.0 - Float64(1.0 / Float64((t_2 ^ 3.0) / (t_1 ^ 3.0)))) / fma(Float64(t_1 / t_2), fma((exp(x) ^ Float64(-x)), Float64(t_1 / 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[(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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(1.0 - N[(1.0 / N[(N[Power[t$95$2, 3.0], $MachinePrecision] / N[Power[t$95$1, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$1 / t$95$2), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(t$95$1 / 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 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := {\left(e^{x}\right)}^{x} \cdot t\_0\\
\frac{1 - \frac{1}{\frac{{t\_2}^{3}}{{t\_1}^{3}}}}{\mathsf{fma}\left(\frac{t\_1}{t\_2}, \mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{t\_1}{t\_0}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
lift-pow.f64N/A
lift-/.f64N/A
cube-divN/A
clear-numN/A
lower-/.f64N/A
Applied rewrites80.1%
Final simplification80.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (* 0.3275911 (fabs x))))
(-
1.0
(*
(exp (* (- (fabs x)) (fabs x)))
(*
(+
(fma
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
(- 1.0 (* (* x x) 0.10731592879921)))
(/ (pow t_0 -1.0) (pow (- 1.0 t_1) -1.0))
(/ -0.284496736 t_0))
0.254829592)
(/ 1.0 (+ t_1 1.0)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.3275911 * fabs(x);
return 1.0 - (exp((-fabs(x) * fabs(x))) * ((fma(((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / (1.0 - ((x * x) * 0.10731592879921))), (pow(t_0, -1.0) / pow((1.0 - t_1), -1.0)), (-0.284496736 / t_0)) + 0.254829592) * (1.0 / (t_1 + 1.0))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.3275911 * abs(x)) return Float64(1.0 - Float64(exp(Float64(Float64(-abs(x)) * abs(x))) * Float64(Float64(fma(Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))), Float64((t_0 ^ -1.0) / (Float64(1.0 - t_1) ^ -1.0)), Float64(-0.284496736 / t_0)) + 0.254829592) * Float64(1.0 / Float64(t_1 + 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]), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$0, -1.0], $MachinePrecision] / N[Power[N[(1.0 - t$95$1), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(-0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision] * N[(1.0 / N[(t$95$1 + 1.0), $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 := 0.3275911 \cdot \left|x\right|\\
1 - e^{\left(-\left|x\right|\right) \cdot \left|x\right|} \cdot \left(\left(\mathsf{fma}\left(\frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{1 - \left(x \cdot x\right) \cdot 0.10731592879921}, \frac{{t\_0}^{-1}}{{\left(1 - t\_1\right)}^{-1}}, \frac{-0.284496736}{t\_0}\right) + 0.254829592\right) \cdot \frac{1}{t\_1 + 1}\right)
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* 0.3275911 (fabs x))) (t_1 (/ 1.0 (+ t_0 1.0))))
(-
1.0
(*
(*
(+
(*
(+
(*
(/
(+
(/
(+
(/
1.061405429
(*
(/ 1.0 (fma 0.3275911 (fabs x) -1.0))
(fma (* x x) 0.10731592879921 -1.0)))
-1.453152027)
(fma (fabs x) 0.3275911 1.0))
1.421413741)
(- 1.0 (* (* x x) 0.10731592879921)))
(- 1.0 t_0))
-0.284496736)
t_1)
0.254829592)
t_1)
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = 0.3275911 * fabs(x);
double t_1 = 1.0 / (t_0 + 1.0);
return 1.0 - (((((((((((1.061405429 / ((1.0 / fma(0.3275911, fabs(x), -1.0)) * fma((x * x), 0.10731592879921, -1.0))) + -1.453152027) / fma(fabs(x), 0.3275911, 1.0)) + 1.421413741) / (1.0 - ((x * x) * 0.10731592879921))) * (1.0 - t_0)) + -0.284496736) * t_1) + 0.254829592) * t_1) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = Float64(0.3275911 * abs(x)) t_1 = Float64(1.0 / Float64(t_0 + 1.0)) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / Float64(Float64(1.0 / fma(0.3275911, abs(x), -1.0)) * fma(Float64(x * x), 0.10731592879921, -1.0))) + -1.453152027) / fma(abs(x), 0.3275911, 1.0)) + 1.421413741) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))) * Float64(1.0 - t_0)) + -0.284496736) * t_1) + 0.254829592) * t_1) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(t$95$0 + 1.0), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(N[(1.0 / N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - t$95$0), $MachinePrecision]), $MachinePrecision] + -0.284496736), $MachinePrecision] * t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.3275911 \cdot \left|x\right|\\
t_1 := \frac{1}{t\_0 + 1}\\
1 - \left(\left(\left(\frac{\frac{\frac{1.061405429}{\frac{1}{\mathsf{fma}\left(0.3275911, \left|x\right|, -1\right)} \cdot \mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)} + -1.453152027}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)} + 1.421413741}{1 - \left(x \cdot x\right) \cdot 0.10731592879921} \cdot \left(1 - t\_0\right) + -0.284496736\right) \cdot t\_1 + 0.254829592\right) \cdot t\_1\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.0%
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
div-invN/A
lower-*.f64N/A
metadata-evalN/A
sub-negN/A
lift-*.f64N/A
lift-*.f64N/A
swap-sqrN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
sub-negN/A
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (* 0.3275911 (fabs x))))
(-
1.0
(*
(*
(+
(fma
(/
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
(- 1.0 (* (* x x) 0.10731592879921)))
t_0)
(- 1.0 t_1)
(/ -0.284496736 t_0))
0.254829592)
(/ 1.0 (+ t_1 1.0)))
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.3275911 * fabs(x);
return 1.0 - (((fma((((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / (1.0 - ((x * x) * 0.10731592879921))) / t_0), (1.0 - t_1), (-0.284496736 / t_0)) + 0.254829592) * (1.0 / (t_1 + 1.0))) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.3275911 * abs(x)) return Float64(1.0 - Float64(Float64(Float64(fma(Float64(Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))) / t_0), Float64(1.0 - t_1), Float64(-0.284496736 / t_0)) + 0.254829592) * Float64(1.0 / Float64(t_1 + 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[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(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] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] * N[(1.0 - t$95$1), $MachinePrecision] + N[(-0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision] * N[(1.0 / N[(t$95$1 + 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 := 0.3275911 \cdot \left|x\right|\\
1 - \left(\left(\mathsf{fma}\left(\frac{\frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{1 - \left(x \cdot x\right) \cdot 0.10731592879921}}{t\_0}, 1 - t\_1, \frac{-0.284496736}{t\_0}\right) + 0.254829592\right) \cdot \frac{1}{t\_1 + 1}\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(*
(+
(+
(/ 0.284496736 (fma -0.3275911 (fabs x) -1.0))
(/
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
t_0))
0.254829592)
(/ 1.0 (+ (* 0.3275911 (fabs x)) 1.0)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (exp((-x * x)) * ((((0.284496736 / fma(-0.3275911, fabs(x), -1.0)) + ((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) / t_0)) + 0.254829592) * (1.0 / ((0.3275911 * fabs(x)) + 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(Float64(Float64(Float64(0.284496736 / fma(-0.3275911, abs(x), -1.0)) + Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) / t_0)) + 0.254829592) * Float64(1.0 / Float64(Float64(0.3275911 * abs(x)) + 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[(0.284496736 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 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] / t$95$0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision] * N[(1.0 / N[(N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $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 \left(\left(\left(\frac{0.284496736}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)} + \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0}}{t\_0}\right) + 0.254829592\right) \cdot \frac{1}{0.3275911 \cdot \left|x\right| + 1}\right)
\end{array}
\end{array}
Initial program 78.9%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites79.0%
Applied rewrites79.0%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6479.0
Applied rewrites79.0%
Final simplification79.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(*
(/
(+
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0))
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (((((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma((x * x), 0.10731592879921, -1.0)) * fma(0.3275911, fabs(x), -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(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / fma(Float64(x * x), 0.10731592879921, -1.0)) * fma(0.3275911, abs(x), -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[(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] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -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 - \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)} \cdot \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right)\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.9
Applied rewrites78.9%
Applied rewrites78.9%
Final simplification78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(fma
(/ 1.061405429 (fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0)
-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((1.061405429 / fma((x * x), 0.10731592879921, -1.0)), fma(0.3275911, fabs(x), -1.0), -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(Float64(1.061405429 / fma(Float64(x * x), 0.10731592879921, -1.0)), fma(0.3275911, abs(x), -1.0), -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[(1.061405429 / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $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] / 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(\frac{1.061405429}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)}, \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}{t\_0} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.9
Applied rewrites78.9%
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 rewrites78.9%
Final simplification78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
t_0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (exp((-x * x)) * ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / 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(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / 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[(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$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $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{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}}{t\_0}
\end{array}
\end{array}
Initial program 78.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.9
Applied rewrites78.9%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.9
Applied rewrites78.9%
Final simplification78.9%
(FPCore (x) :precision binary64 1.0)
double code(double x) {
return 1.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0
end function
public static double code(double x) {
return 1.0;
}
def code(x): return 1.0
function code(x) return 1.0 end
function tmp = code(x) tmp = 1.0; end
code[x_] := 1.0
\begin{array}{l}
\\
1
\end{array}
Initial program 78.9%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.9
Applied rewrites78.9%
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
div-invN/A
lower-*.f64N/A
metadata-evalN/A
sub-negN/A
lift-*.f64N/A
lift-*.f64N/A
swap-sqrN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64N/A
metadata-evalN/A
metadata-evalN/A
lower-fma.f64N/A
lower-/.f64N/A
sub-negN/A
Applied rewrites79.0%
Taylor expanded in x around inf
Applied rewrites55.2%
herbie shell --seed 2024296
(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)))))))