
(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_0))
(t_2 (/ t_1 (pow (exp x) x)))
(t_3 (fma (fma t_1 (pow (exp x) (- x)) 1.0) t_2 1.0))
(t_4 (pow t_3 -1.0))
(t_5 (pow t_2 3.0)))
(/ (- (pow t_3 -2.0) (pow (* t_4 (- t_5)) 2.0)) (+ (* t_4 t_5) 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)) / t_0;
double t_2 = t_1 / pow(exp(x), x);
double t_3 = fma(fma(t_1, pow(exp(x), -x), 1.0), t_2, 1.0);
double t_4 = pow(t_3, -1.0);
double t_5 = pow(t_2, 3.0);
return (pow(t_3, -2.0) - pow((t_4 * -t_5), 2.0)) / ((t_4 * t_5) + t_4);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = 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) t_2 = Float64(t_1 / (exp(x) ^ x)) t_3 = fma(fma(t_1, (exp(x) ^ Float64(-x)), 1.0), t_2, 1.0) t_4 = t_3 ^ -1.0 t_5 = t_2 ^ 3.0 return Float64(Float64((t_3 ^ -2.0) - (Float64(t_4 * Float64(-t_5)) ^ 2.0)) / Float64(Float64(t_4 * t_5) + t_4)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(t$95$1 / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[Power[t$95$3, -1.0], $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$2, 3.0], $MachinePrecision]}, N[(N[(N[Power[t$95$3, -2.0], $MachinePrecision] - N[Power[N[(t$95$4 * (-t$95$5)), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$4 * t$95$5), $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 := \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}\\
t_2 := \frac{t\_1}{{\left(e^{x}\right)}^{x}}\\
t_3 := \mathsf{fma}\left(\mathsf{fma}\left(t\_1, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right), t\_2, 1\right)\\
t_4 := {t\_3}^{-1}\\
t_5 := {t\_2}^{3}\\
\frac{{t\_3}^{-2} - {\left(t\_4 \cdot \left(-t\_5\right)\right)}^{2}}{t\_4 \cdot t\_5 + t\_4}
\end{array}
\end{array}
Initial program 76.3%
Applied rewrites77.2%
Applied rewrites77.9%
Applied rewrites84.7%
Final simplification84.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(/
(/
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(pow (exp x) x)))
(t_2 (+ (pow t_1 2.0) 1.0))
(t_3 (fma (fabs x) 0.3275911 1.0)))
(/
(- (/ 1.0 t_2) (/ (pow t_1 4.0) t_2))
(fma
(pow (exp x) (- x))
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_3)) t_3)) t_3))
t_3))
t_3)
1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) / pow(exp(x), x);
double t_2 = pow(t_1, 2.0) + 1.0;
double t_3 = fma(fabs(x), 0.3275911, 1.0);
return ((1.0 / t_2) - (pow(t_1, 4.0) / t_2)) / fma(pow(exp(x), -x), ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_3)) / t_3)) / t_3)) / t_3)) / t_3), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = 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) / t_0) / (exp(x) ^ x)) t_2 = Float64((t_1 ^ 2.0) + 1.0) t_3 = fma(abs(x), 0.3275911, 1.0) return Float64(Float64(Float64(1.0 / t_2) - Float64((t_1 ^ 4.0) / t_2)) / fma((exp(x) ^ Float64(-x)), Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_3)) / t_3)) / t_3)) / t_3)) / t_3), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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] / t$95$0), $MachinePrecision] / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Power[t$95$1, 2.0], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$2), $MachinePrecision] - N[(N[Power[t$95$1, 4.0], $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{{\left(e^{x}\right)}^{x}}\\
t_2 := {t\_1}^{2} + 1\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\frac{\frac{1}{t\_2} - \frac{{t\_1}^{4}}{t\_2}}{\mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_3}}{t\_3}}{t\_3}}{t\_3}}{t\_3}, 1\right)}
\end{array}
\end{array}
Initial program 76.3%
Applied rewrites76.3%
Applied rewrites84.7%
Final simplification84.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(/
(/
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(pow (exp x) x)))
(t_2 (fma (fabs x) 0.3275911 1.0)))
(/
(/ (- 1.0 (pow t_1 6.0)) (+ (+ (pow t_1 4.0) (pow t_1 2.0)) 1.0))
(fma
(pow (exp x) (- x))
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_2)) t_2)) t_2))
t_2))
t_2)
1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) / pow(exp(x), x);
double t_2 = fma(fabs(x), 0.3275911, 1.0);
return ((1.0 - pow(t_1, 6.0)) / ((pow(t_1, 4.0) + pow(t_1, 2.0)) + 1.0)) / fma(pow(exp(x), -x), ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_2)) / t_2)) / t_2)) / t_2)) / t_2), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = 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) / t_0) / (exp(x) ^ x)) t_2 = fma(abs(x), 0.3275911, 1.0) return Float64(Float64(Float64(1.0 - (t_1 ^ 6.0)) / Float64(Float64((t_1 ^ 4.0) + (t_1 ^ 2.0)) + 1.0)) / fma((exp(x) ^ Float64(-x)), Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_2)) / t_2)) / t_2)) / t_2)) / t_2), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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] / t$95$0), $MachinePrecision] / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(1.0 - N[Power[t$95$1, 6.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[t$95$1, 4.0], $MachinePrecision] + N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}}{{\left(e^{x}\right)}^{x}}\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\frac{\frac{1 - {t\_1}^{6}}{\left({t\_1}^{4} + {t\_1}^{2}\right) + 1}}{\mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_2}}{t\_2}}{t\_2}}{t\_2}}{t\_2}, 1\right)}
\end{array}
\end{array}
Initial program 76.3%
Applied rewrites76.3%
Applied rewrites76.4%
Final simplification76.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (/ (/ t_1 t_0) (pow (exp x) x))))
(/
(- 1.0 (pow t_2 6.0))
(*
(fma (/ (pow (exp x) (- x)) t_0) t_1 1.0)
(+ (+ (pow t_2 4.0) (pow t_2 2.0)) 1.0)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_2 = (t_1 / t_0) / pow(exp(x), x);
return (1.0 - pow(t_2, 6.0)) / (fma((pow(exp(x), -x) / t_0), t_1, 1.0) * ((pow(t_2, 4.0) + pow(t_2, 2.0)) + 1.0));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = 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) t_2 = Float64(Float64(t_1 / t_0) / (exp(x) ^ x)) return Float64(Float64(1.0 - (t_2 ^ 6.0)) / Float64(fma(Float64((exp(x) ^ Float64(-x)) / t_0), t_1, 1.0) * Float64(Float64((t_2 ^ 4.0) + (t_2 ^ 2.0)) + 1.0))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = 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]}, Block[{t$95$2 = N[(N[(t$95$1 / t$95$0), $MachinePrecision] / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[Power[t$95$2, 6.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision] * N[(N[(N[Power[t$95$2, 4.0], $MachinePrecision] + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := \frac{\frac{t\_1}{t\_0}}{{\left(e^{x}\right)}^{x}}\\
\frac{1 - {t\_2}^{6}}{\mathsf{fma}\left(\frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, t\_1, 1\right) \cdot \left(\left({t\_2}^{4} + {t\_2}^{2}\right) + 1\right)}
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6476.3
Applied rewrites76.3%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6476.3
Applied rewrites76.3%
lift-/.f64N/A
clear-numN/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
lower-/.f64N/A
div-invN/A
lower-*.f64N/A
lift-fma.f64N/A
*-commutativeN/A
lift-fma.f64N/A
metadata-eval73.7
Applied rewrites73.7%
Applied rewrites76.4%
Final simplification76.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (pow (* 0.9421470558541867 (fma 0.3275911 (fabs x) 1.0)) -0.5)))
(/
(-
1.0
(pow
(/
(+
(/
(+
(/ (+ (/ (fma t_1 t_1 -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(* (pow (exp x) x) t_0))
2.0))
(fma
(pow (exp x) (- x))
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
t_0)
1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = pow((0.9421470558541867 * fma(0.3275911, fabs(x), 1.0)), -0.5);
return (1.0 - pow((((((((fma(t_1, t_1, -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (pow(exp(x), x) * t_0)), 2.0)) / fma(pow(exp(x), -x), ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / t_0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.9421470558541867 * fma(0.3275911, abs(x), 1.0)) ^ -0.5 return Float64(Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(t_1, t_1, -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64((exp(x) ^ x) * t_0)) ^ 2.0)) / fma((exp(x) ^ Float64(-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), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[(0.9421470558541867 * N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision], -0.5], $MachinePrecision]}, N[(N[(1.0 - N[Power[N[(N[(N[(N[(N[(N[(N[(N[(t$95$1 * t$95$1 + -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[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $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] + 1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := {\left(0.9421470558541867 \cdot \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\right)}^{-0.5}\\
\frac{1 - {\left(\frac{\frac{\frac{\frac{\mathsf{fma}\left(t\_1, t\_1, -1.453152027\right)}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{{\left(e^{x}\right)}^{x} \cdot t\_0}\right)}^{2}}{\mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \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}, 1\right)}
\end{array}
\end{array}
Initial program 76.3%
Applied rewrites76.3%
lift-+.f64N/A
lift-/.f64N/A
metadata-evalN/A
associate-/r*N/A
*-commutativeN/A
lift-*.f64N/A
clear-numN/A
inv-powN/A
sqr-powN/A
lower-fma.f64N/A
Applied rewrites76.4%
Final simplification76.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(/
(-
1.0
(pow
(/
(+
(/
(+
(/
(+
(/
(fma
(/ 1.061405429 (fma 0.10731592879921 (* x x) -1.0))
(fma 0.3275911 (fabs x) -1.0)
-1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(* (pow (exp x) x) t_0))
2.0))
(fma
(pow (exp x) (- x))
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
t_0)
1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return (1.0 - pow((((((((fma((1.061405429 / fma(0.10731592879921, (x * x), -1.0)), fma(0.3275911, fabs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (pow(exp(x), x) * t_0)), 2.0)) / fma(pow(exp(x), -x), ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / t_0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(Float64(1.0 - (Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(1.061405429 / fma(0.10731592879921, Float64(x * x), -1.0)), fma(0.3275911, abs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64((exp(x) ^ x) * t_0)) ^ 2.0)) / fma((exp(x) ^ Float64(-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), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(1.0 - N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(0.10731592879921 * N[(x * x), $MachinePrecision] + -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] / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $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] + 1.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\frac{1 - {\left(\frac{\frac{\frac{\frac{\mathsf{fma}\left(\frac{1.061405429}{\mathsf{fma}\left(0.10731592879921, x \cdot x, -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}{{\left(e^{x}\right)}^{x} \cdot t\_0}\right)}^{2}}{\mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \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}, 1\right)}
\end{array}
\end{array}
Initial program 76.3%
Applied rewrites76.3%
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 rewrites76.4%
Final simplification76.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (* 0.3275911 (fabs x)))
(t_2 (/ 1.0 (- -1.0 t_1))))
(-
1.0
(*
(exp (* (- x) x))
(*
(-
(*
t_2
(+
(*
(- 1.0 t_1)
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
(- 1.0 (* (* x x) 0.10731592879921))))
-0.284496736))
0.254829592)
t_2)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.3275911 * fabs(x);
double t_2 = 1.0 / (-1.0 - t_1);
return 1.0 - (exp((-x * x)) * (((t_2 * (((1.0 - t_1) * ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / (1.0 - ((x * x) * 0.10731592879921)))) + -0.284496736)) - 0.254829592) * t_2));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.3275911 * abs(x)) t_2 = Float64(1.0 / Float64(-1.0 - t_1)) return Float64(1.0 - Float64(exp(Float64(Float64(-x) * x)) * Float64(Float64(Float64(t_2 * Float64(Float64(Float64(1.0 - t_1) * Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921)))) + -0.284496736)) - 0.254829592) * t_2))) 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]}, Block[{t$95$2 = N[(1.0 / N[(-1.0 - t$95$1), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(t$95$2 * N[(N[(N[(1.0 - t$95$1), $MachinePrecision] * 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]), $MachinePrecision] + -0.284496736), $MachinePrecision]), $MachinePrecision] - 0.254829592), $MachinePrecision] * t$95$2), $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|\\
t_2 := \frac{1}{-1 - t\_1}\\
1 - e^{\left(-x\right) \cdot x} \cdot \left(\left(t\_2 \cdot \left(\left(1 - t\_1\right) \cdot \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{1 - \left(x \cdot x\right) \cdot 0.10731592879921} + -0.284496736\right) - 0.254829592\right) \cdot t\_2\right)
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites76.4%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6476.4
Applied rewrites76.4%
Final simplification76.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (/ 1.0 (- -1.0 (* 0.3275911 (fabs x))))))
(-
1.0
(*
(exp (* (- (fabs x)) (fabs x)))
(*
(-
(*
t_1
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0)))
0.254829592)
t_1)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 1.0 / (-1.0 - (0.3275911 * fabs(x)));
return 1.0 - (exp((-fabs(x) * fabs(x))) * (((t_1 * (-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0))) - 0.254829592) * t_1));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(1.0 / Float64(-1.0 - Float64(0.3275911 * abs(x)))) return Float64(1.0 - Float64(exp(Float64(Float64(-abs(x)) * abs(x))) * Float64(Float64(Float64(t_1 * Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0))) - 0.254829592) * t_1))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[(-1.0 - N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(t$95$1 * 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]), $MachinePrecision] - 0.254829592), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{1}{-1 - 0.3275911 \cdot \left|x\right|}\\
1 - e^{\left(-\left|x\right|\right) \cdot \left|x\right|} \cdot \left(\left(t\_1 \cdot \left(-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}\right) - 0.254829592\right) \cdot t\_1\right)
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites76.3%
Final simplification76.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(+
(*
(fma (fabs x) 0.3275911 -1.0)
(/ 1.061405429 (fma 0.10731592879921 (* x x) -1.0)))
-1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((((((((fma(fabs(x), 0.3275911, -1.0) * (1.061405429 / fma(0.10731592879921, (x * x), -1.0))) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp((-x * 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(Float64(Float64(fma(abs(x), 0.3275911, -1.0) * Float64(1.061405429 / fma(0.10731592879921, Float64(x * x), -1.0))) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(Float64(-x) * 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[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $MachinePrecision] * N[(1.061405429 / N[(0.10731592879921 * N[(x * x), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $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[((-x) * x), $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(\left|x\right|, 0.3275911, -1\right) \cdot \frac{1.061405429}{\mathsf{fma}\left(0.10731592879921, x \cdot x, -1\right)} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6476.3
Applied rewrites76.3%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6476.3
Applied rewrites76.3%
lift-/.f64N/A
lift-fma.f64N/A
*-commutativeN/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites76.3%
Final simplification76.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(fma
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
(fma 0.10731592879921 (* x x) -1.0))
(fma (fabs x) 0.3275911 -1.0)
0.254829592)
t_0)
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((fma(((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / fma(0.10731592879921, (x * x), -1.0)), fma(fabs(x), 0.3275911, -1.0), 0.254829592) / t_0) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(fma(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / fma(0.10731592879921, Float64(x * x), -1.0)), fma(abs(x), 0.3275911, -1.0), 0.254829592) / t_0) * exp(Float64(Float64(-x) * 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[(-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] / N[(0.10731592879921 * N[(x * x), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * 0.3275911 + -1.0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\mathsf{fma}\left(\frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{\mathsf{fma}\left(0.10731592879921, x \cdot x, -1\right)}, \mathsf{fma}\left(\left|x\right|, 0.3275911, -1\right), 0.254829592\right)}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6476.3
Applied rewrites76.3%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6476.3
Applied rewrites76.3%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
*-commutativeN/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites76.3%
Final simplification76.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(fma
(-
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0)))
(/ 1.0 (fma -0.3275911 (fabs x) -1.0))
0.254829592)
t_0)
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((fma(-(-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)), (1.0 / fma(-0.3275911, fabs(x), -1.0)), 0.254829592) / t_0) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(fma(Float64(-Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0))), Float64(1.0 / fma(-0.3275911, abs(x), -1.0)), 0.254829592) / t_0) * exp(Float64(Float64(-x) * 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[(-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]) * N[(1.0 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\mathsf{fma}\left(-\left(-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}\right), \frac{1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}, 0.254829592\right)}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6476.3
Applied rewrites76.3%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6476.3
Applied rewrites76.3%
lift-+.f64N/A
lift-/.f64N/A
frac-2negN/A
lift-neg.f64N/A
div-invN/A
neg-mul-1N/A
*-commutativeN/A
lift-*.f64N/A
Applied rewrites76.3%
Final simplification76.3%
(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 76.3%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6476.3
Applied rewrites76.3%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6476.3
Applied rewrites76.3%
Final simplification76.3%
(FPCore (x) :precision binary64 (let* ((t_0 (fma (fabs x) 0.3275911 1.0))) (- 1.0 (* (/ (- 0.254829592 (/ 0.284496736 t_0)) t_0) (exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((0.254829592 - (0.284496736 / t_0)) / t_0) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(0.254829592 - Float64(0.284496736 / t_0)) / t_0) * exp(Float64(Float64(-x) * x)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(0.254829592 - N[(0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{0.254829592 - \frac{0.284496736}{t\_0}}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 76.3%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-*.f64N/A
Applied rewrites76.4%
Taylor expanded in x around inf
lower--.f64N/A
associate-/l*N/A
lower-*.f64N/A
neg-mul-1N/A
unpow2N/A
sqr-absN/A
unpow2N/A
neg-mul-1N/A
lower-exp.f64N/A
unpow2N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
Applied rewrites49.3%
Final simplification49.3%
herbie shell --seed 2024331
(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)))))))