
(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 (/ (+ -1.453152027 (/ 1.061405429 t_1)) t_1))
(t_3 (* t_0 (pow (exp x) x)))
(t_4
(+
0.254829592
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)))
(t_5 (/ t_4 t_3))
(t_6 (fma (fma (/ t_4 t_0) (pow (exp x) (- x)) 1.0) t_5 1.0))
(t_7 (pow t_6 -1.0))
(t_8 (- t_2 1.421413741)))
(/
(- (pow t_6 -2.0) (pow (* (pow t_5 3.0) (/ -1.0 t_6)) 2.0))
(+
t_7
(*
t_7
(pow
(/
(+
0.254829592
(/
(+
(/ (- (/ (pow t_2 2.0) t_8) (/ 2.020417023103615 t_8)) t_0)
-0.284496736)
t_0))
t_3)
3.0))))))
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 = (-1.453152027 + (1.061405429 / t_1)) / t_1;
double t_3 = t_0 * pow(exp(x), x);
double t_4 = 0.254829592 + (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0);
double t_5 = t_4 / t_3;
double t_6 = fma(fma((t_4 / t_0), pow(exp(x), -x), 1.0), t_5, 1.0);
double t_7 = pow(t_6, -1.0);
double t_8 = t_2 - 1.421413741;
return (pow(t_6, -2.0) - pow((pow(t_5, 3.0) * (-1.0 / t_6)), 2.0)) / (t_7 + (t_7 * pow(((0.254829592 + (((((pow(t_2, 2.0) / t_8) - (2.020417023103615 / t_8)) / t_0) + -0.284496736) / t_0)) / t_3), 3.0)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = Float64(Float64(-1.453152027 + Float64(1.061405429 / t_1)) / t_1) t_3 = Float64(t_0 * (exp(x) ^ x)) t_4 = Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0)) t_5 = Float64(t_4 / t_3) t_6 = fma(fma(Float64(t_4 / t_0), (exp(x) ^ Float64(-x)), 1.0), t_5, 1.0) t_7 = t_6 ^ -1.0 t_8 = Float64(t_2 - 1.421413741) return Float64(Float64((t_6 ^ -2.0) - (Float64((t_5 ^ 3.0) * Float64(-1.0 / t_6)) ^ 2.0)) / Float64(t_7 + Float64(t_7 * (Float64(Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64((t_2 ^ 2.0) / t_8) - Float64(2.020417023103615 / t_8)) / t_0) + -0.284496736) / t_0)) / t_3) ^ 3.0)))) 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[(N[(-1.453152027 + N[(1.061405429 / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(0.254829592 + 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]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 / t$95$3), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(t$95$4 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] * t$95$5 + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[Power[t$95$6, -1.0], $MachinePrecision]}, Block[{t$95$8 = N[(t$95$2 - 1.421413741), $MachinePrecision]}, N[(N[(N[Power[t$95$6, -2.0], $MachinePrecision] - N[Power[N[(N[Power[t$95$5, 3.0], $MachinePrecision] * N[(-1.0 / t$95$6), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$7 + N[(t$95$7 * N[Power[N[(N[(0.254829592 + N[(N[(N[(N[(N[(N[Power[t$95$2, 2.0], $MachinePrecision] / t$95$8), $MachinePrecision] - N[(2.020417023103615 / t$95$8), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision], 3.0], $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)\\
t_2 := \frac{-1.453152027 + \frac{1.061405429}{t\_1}}{t\_1}\\
t_3 := t\_0 \cdot {\left(e^{x}\right)}^{x}\\
t_4 := 0.254829592 + \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0}\\
t_5 := \frac{t\_4}{t\_3}\\
t_6 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_4}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right), t\_5, 1\right)\\
t_7 := {t\_6}^{-1}\\
t_8 := t\_2 - 1.421413741\\
\frac{{t\_6}^{-2} - {\left({t\_5}^{3} \cdot \frac{-1}{t\_6}\right)}^{2}}{t\_7 + t\_7 \cdot {\left(\frac{0.254829592 + \frac{\frac{\frac{{t\_2}^{2}}{t\_8} - \frac{2.020417023103615}{t\_8}}{t\_0} + -0.284496736}{t\_0}}{t\_3}\right)}^{3}}
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites80.1%
Applied rewrites80.8%
Applied rewrites86.7%
lift-+.f64N/A
flip-+N/A
div-subN/A
lower--.f64N/A
Applied rewrites86.7%
Final simplification86.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)))
(t_2 (/ t_1 (* t_0 (pow (exp x) x))))
(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))
(t_5 (pow t_4 -1.0)))
(/ (- (pow t_4 -2.0) (pow (* t_3 (/ -1.0 t_4)) 2.0)) (+ t_5 (* t_5 t_3)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0);
double t_2 = t_1 / (t_0 * pow(exp(x), x));
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);
double t_5 = pow(t_4, -1.0);
return (pow(t_4, -2.0) - pow((t_3 * (-1.0 / t_4)), 2.0)) / (t_5 + (t_5 * t_3));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0)) t_2 = Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) 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) t_5 = t_4 ^ -1.0 return Float64(Float64((t_4 ^ -2.0) - (Float64(t_3 * Float64(-1.0 / t_4)) ^ 2.0)) / Float64(t_5 + Float64(t_5 * 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[(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]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $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]}, Block[{t$95$5 = N[Power[t$95$4, -1.0], $MachinePrecision]}, N[(N[(N[Power[t$95$4, -2.0], $MachinePrecision] - N[Power[N[(t$95$3 * N[(-1.0 / t$95$4), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(t$95$5 + N[(t$95$5 * t$95$3), $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{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0}\\
t_2 := \frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\\
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)\\
t_5 := {t\_4}^{-1}\\
\frac{{t\_4}^{-2} - {\left(t\_3 \cdot \frac{-1}{t\_4}\right)}^{2}}{t\_5 + t\_5 \cdot t\_3}
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites80.1%
Applied rewrites80.8%
Applied rewrites86.7%
Final simplification86.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
0.254829592
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)))
(t_2 (pow (exp x) (- x)))
(t_3 (pow (exp x) x))
(t_4 (/ t_1 (* t_0 t_3)))
(t_5 (fma (fma (/ t_1 t_0) t_2 1.0) t_4 1.0))
(t_6 (fma 0.3275911 (fabs x) 1.0))
(t_7
(/
(+
(/
(+
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_6)) t_6))
t_6)
-0.284496736)
t_6)
0.254829592)
t_6))
(t_8 (/ t_7 t_3)))
(/
(- (pow t_5 -2.0) (pow (* (pow t_4 3.0) (/ -1.0 t_5)) 2.0))
(* (+ (pow t_8 3.0) 1.0) (pow (fma t_8 (fma t_2 t_7 1.0) 1.0) -1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 + (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0);
double t_2 = pow(exp(x), -x);
double t_3 = pow(exp(x), x);
double t_4 = t_1 / (t_0 * t_3);
double t_5 = fma(fma((t_1 / t_0), t_2, 1.0), t_4, 1.0);
double t_6 = fma(0.3275911, fabs(x), 1.0);
double t_7 = (((((1.421413741 + ((-1.453152027 + (1.061405429 / t_6)) / t_6)) / t_6) + -0.284496736) / t_6) + 0.254829592) / t_6;
double t_8 = t_7 / t_3;
return (pow(t_5, -2.0) - pow((pow(t_4, 3.0) * (-1.0 / t_5)), 2.0)) / ((pow(t_8, 3.0) + 1.0) * pow(fma(t_8, fma(t_2, t_7, 1.0), 1.0), -1.0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0)) t_2 = exp(x) ^ Float64(-x) t_3 = exp(x) ^ x t_4 = Float64(t_1 / Float64(t_0 * t_3)) t_5 = fma(fma(Float64(t_1 / t_0), t_2, 1.0), t_4, 1.0) t_6 = fma(0.3275911, abs(x), 1.0) t_7 = Float64(Float64(Float64(Float64(Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_6)) / t_6)) / t_6) + -0.284496736) / t_6) + 0.254829592) / t_6) t_8 = Float64(t_7 / t_3) return Float64(Float64((t_5 ^ -2.0) - (Float64((t_4 ^ 3.0) * Float64(-1.0 / t_5)) ^ 2.0)) / Float64(Float64((t_8 ^ 3.0) + 1.0) * (fma(t_8, fma(t_2, t_7, 1.0), 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[(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]), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$3 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$1 / N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$1 / t$95$0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision] * t$95$4 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision] / t$95$6), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$6), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$6), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$7 / t$95$3), $MachinePrecision]}, N[(N[(N[Power[t$95$5, -2.0], $MachinePrecision] - N[Power[N[(N[Power[t$95$4, 3.0], $MachinePrecision] * N[(-1.0 / t$95$5), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[t$95$8, 3.0], $MachinePrecision] + 1.0), $MachinePrecision] * N[Power[N[(t$95$8 * N[(t$95$2 * t$95$7 + 1.0), $MachinePrecision] + 1.0), $MachinePrecision], -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{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0}\\
t_2 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_3 := {\left(e^{x}\right)}^{x}\\
t_4 := \frac{t\_1}{t\_0 \cdot t\_3}\\
t_5 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_1}{t\_0}, t\_2, 1\right), t\_4, 1\right)\\
t_6 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_7 := \frac{\frac{\frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_6}}{t\_6}}{t\_6} + -0.284496736}{t\_6} + 0.254829592}{t\_6}\\
t_8 := \frac{t\_7}{t\_3}\\
\frac{{t\_5}^{-2} - {\left({t\_4}^{3} \cdot \frac{-1}{t\_5}\right)}^{2}}{\left({t\_8}^{3} + 1\right) \cdot {\left(\mathsf{fma}\left(t\_8, \mathsf{fma}\left(t\_2, t\_7, 1\right), 1\right)\right)}^{-1}}
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites80.1%
Applied rewrites80.8%
Applied rewrites86.7%
Applied rewrites86.7%
Final simplification86.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (exp x) (- x)))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2 (pow (exp x) x))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_4 (/ t_3 (* t_2 t_1)))
(t_5 (fma (fma (/ t_0 t_1) t_3 1.0) t_4 1.0))
(t_6 (fma (fabs x) 0.3275911 1.0))
(t_7
(+
0.254829592
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_6) -1.453152027) t_6) 1.421413741)
t_6)
-0.284496736)
t_6))))
(fma
t_5
(pow t_5 -2.0)
(*
(pow t_4 3.0)
(/ -1.0 (fma (fma (/ t_7 t_6) t_0 1.0) (/ t_7 (* t_6 t_2)) 1.0))))))
double code(double x) {
double t_0 = pow(exp(x), -x);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = pow(exp(x), x);
double t_3 = (((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_4 = t_3 / (t_2 * t_1);
double t_5 = fma(fma((t_0 / t_1), t_3, 1.0), t_4, 1.0);
double t_6 = fma(fabs(x), 0.3275911, 1.0);
double t_7 = 0.254829592 + (((((((1.061405429 / t_6) + -1.453152027) / t_6) + 1.421413741) / t_6) + -0.284496736) / t_6);
return fma(t_5, pow(t_5, -2.0), (pow(t_4, 3.0) * (-1.0 / fma(fma((t_7 / t_6), t_0, 1.0), (t_7 / (t_6 * t_2)), 1.0))));
}
function code(x) t_0 = exp(x) ^ Float64(-x) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = exp(x) ^ x t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) t_4 = Float64(t_3 / Float64(t_2 * t_1)) t_5 = fma(fma(Float64(t_0 / t_1), t_3, 1.0), t_4, 1.0) t_6 = fma(abs(x), 0.3275911, 1.0) t_7 = Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_6) + -1.453152027) / t_6) + 1.421413741) / t_6) + -0.284496736) / t_6)) return fma(t_5, (t_5 ^ -2.0), Float64((t_4 ^ 3.0) * Float64(-1.0 / fma(fma(Float64(t_7 / t_6), t_0, 1.0), Float64(t_7 / Float64(t_6 * t_2)), 1.0)))) end
code[x_] := Block[{t$95$0 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 / N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$0 / t$95$1), $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision] * t$95$4 + 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[(N[(N[(N[(N[(N[(1.061405429 / t$95$6), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$6), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$6), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$6), $MachinePrecision]), $MachinePrecision]}, N[(t$95$5 * N[Power[t$95$5, -2.0], $MachinePrecision] + N[(N[Power[t$95$4, 3.0], $MachinePrecision] * N[(-1.0 / N[(N[(N[(t$95$7 / t$95$6), $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision] * N[(t$95$7 / N[(t$95$6 * t$95$2), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := {\left(e^{x}\right)}^{x}\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_4 := \frac{t\_3}{t\_2 \cdot t\_1}\\
t_5 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_0}{t\_1}, t\_3, 1\right), t\_4, 1\right)\\
t_6 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_7 := 0.254829592 + \frac{\frac{\frac{\frac{1.061405429}{t\_6} + -1.453152027}{t\_6} + 1.421413741}{t\_6} + -0.284496736}{t\_6}\\
\mathsf{fma}\left(t\_5, {t\_5}^{-2}, {t\_4}^{3} \cdot \frac{-1}{\mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_7}{t\_6}, t\_0, 1\right), \frac{t\_7}{t\_6 \cdot t\_2}, 1\right)}\right)
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites80.1%
Applied rewrites80.8%
Applied rewrites80.8%
Final simplification80.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (pow (exp x) x))
(t_2 (fma (fabs x) 0.3275911 1.0))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_2) -1.453152027) t_2) 1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592)))
(/
(-
1.0
(pow
(/
(pow (* t_1 t_0) 3.0)
(pow
(+
(/
(+
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0)
-0.284496736)
t_0)
0.254829592)
3.0))
-1.0))
(fma (/ t_3 (* t_1 t_2)) (fma (pow (exp x) (- x)) (/ t_3 t_2) 1.0) 1.0))))
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(fabs(x), 0.3275911, 1.0);
double t_3 = (((((((1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
return (1.0 - pow((pow((t_1 * t_0), 3.0) / pow((((((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0) + -0.284496736) / t_0) + 0.254829592), 3.0)), -1.0)) / fma((t_3 / (t_1 * t_2)), fma(pow(exp(x), -x), (t_3 / t_2), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(x) ^ x t_2 = fma(abs(x), 0.3275911, 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) return Float64(Float64(1.0 - (Float64((Float64(t_1 * t_0) ^ 3.0) / (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) ^ 3.0)) ^ -1.0)) / fma(Float64(t_3 / Float64(t_1 * t_2)), fma((exp(x) ^ Float64(-x)), Float64(t_3 / t_2), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$2 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 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]}, N[(N[(1.0 - N[Power[N[(N[Power[N[(t$95$1 * t$95$0), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[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], 3.0], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$3 / N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(t$95$3 / t$95$2), $MachinePrecision] + 1.0), $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 := {\left(e^{x}\right)}^{x}\\
t_2 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 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\\
\frac{1 - {\left(\frac{{\left(t\_1 \cdot t\_0\right)}^{3}}{{\left(\frac{\frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0} + -0.284496736}{t\_0} + 0.254829592\right)}^{3}}\right)}^{-1}}{\mathsf{fma}\left(\frac{t\_3}{t\_1 \cdot t\_2}, \mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{t\_3}{t\_2}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites79.4%
Applied rewrites80.5%
Final simplification80.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0))
(t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(*
t_0
(+
0.254829592
(*
t_0
(+
-0.284496736
(/
(*
(+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741)
(fma -0.3275911 (fabs x) 1.0))
(fma -0.10731592879921 (* x x) 1.0))))))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = pow((1.0 + (0.3275911 * fabs(x))), -1.0);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((t_0 * (0.254829592 + (t_0 * (-0.284496736 + ((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) * fma(-0.3275911, fabs(x), 1.0)) / fma(-0.10731592879921, (x * x), 1.0)))))) * exp((-x * x)));
}
function code(x) t_0 = Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0 t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(t_0 * Float64(-0.284496736 + Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) * fma(-0.3275911, abs(x), 1.0)) / fma(-0.10731592879921, Float64(x * x), 1.0)))))) * exp(Float64(Float64(-x) * x)))) end
code[x_] := Block[{t$95$0 = N[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(t$95$0 * N[(-0.284496736 + N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] * N[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \left(t\_0 \cdot \left(0.254829592 + t\_0 \cdot \left(-0.284496736 + \frac{\left(\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741\right) \cdot \mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right)}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.4%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
metadata-evalN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites79.4%
Applied rewrites79.4%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6479.4
Applied rewrites79.4%
Final simplification79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(*
(pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0)
(+
0.254829592
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
t_0)))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((pow((1.0 + (0.3275911 * fabs(x))), -1.0) * (0.254829592 + (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0))) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64((Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0) * Float64(0.254829592 + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / 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[Power[N[(1.0 + N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision] * N[(0.254829592 + 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]), $MachinePrecision]), $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 - \left({\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1} \cdot \left(0.254829592 + \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0}\right)\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.4%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites79.4%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6479.4
Applied rewrites79.4%
Final simplification79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(+
(/
(+
(/ -0.284496736 t_0)
(/
(*
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
(fma (* x x) -0.10731592879921 1.0))
(fma -0.3275911 (fabs x) 1.0))
t_0))
t_0)
(/ -0.254829592 (fma -0.3275911 (fabs x) -1.0)))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (((((-0.284496736 / t_0) + (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / fma((x * x), -0.10731592879921, 1.0)) * fma(-0.3275911, fabs(x), 1.0)) / t_0)) / t_0) + (-0.254829592 / fma(-0.3275911, fabs(x), -1.0))) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(-0.284496736 / t_0) + Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / fma(Float64(x * x), -0.10731592879921, 1.0)) * fma(-0.3275911, abs(x), 1.0)) / t_0)) / t_0) + Float64(-0.254829592 / fma(-0.3275911, abs(x), -1.0))) * 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 / t$95$0), $MachinePrecision] + N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $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] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + N[(-0.254829592 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $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 - \left(\frac{\frac{-0.284496736}{t\_0} + \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{\mathsf{fma}\left(x \cdot x, -0.10731592879921, 1\right)} \cdot \mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right)}{t\_0}}{t\_0} + \frac{-0.254829592}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.4%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
Applied rewrites77.7%
Applied rewrites58.3%
Applied rewrites79.4%
Final simplification79.4%
(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)
(/ -1.0 (fma -0.3275911 (fabs x) -1.0)))
(exp (* (- x) 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) * (-1.0 / fma(-0.3275911, fabs(x), -1.0))) * 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(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) * Float64(-1.0 / fma(-0.3275911, abs(x), -1.0))) * 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[(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] * N[(-1.0 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $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 - \left(\left(\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\right) \cdot \frac{-1}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
Applied rewrites79.4%
Applied rewrites79.4%
Final simplification79.4%
(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 0.10731592879921 (* x x) -1.0))
(fma 0.3275911 (fabs x) -1.0))
(exp (* (- x) 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(0.10731592879921, (x * x), -1.0)) * fma(0.3275911, fabs(x), -1.0)) * exp((-x * 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(0.10731592879921, Float64(x * x), -1.0)) * fma(0.3275911, abs(x), -1.0)) * exp(Float64(Float64(-x) * 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[(0.10731592879921 * N[(x * x), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-x) * x), $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(0.10731592879921, x \cdot x, -1\right)} \cdot \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right)\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
Applied rewrites79.4%
Final simplification79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(fma
(fma -0.3275911 (fabs x) 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(fma(-0.3275911, fabs(x), 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(fma(fma(-0.3275911, abs(x), 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[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.061405429 / N[(-0.10731592879921 * N[(x * x), $MachinePrecision] + 1.0), $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(\mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right), \frac{1.061405429}{\mathsf{fma}\left(-0.10731592879921, x \cdot x, 1\right)}, -1.453152027\right)}{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 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
Applied rewrites79.4%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6479.4
Applied rewrites79.4%
Final simplification79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_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 - ((((((((((1.061405429 / t_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(1.061405429 / t_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[(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[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{\frac{1.061405429}{t\_0} + -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 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6479.4
Applied rewrites79.4%
Final simplification79.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/ (fma (fma -0.3275911 (fabs x) 1.0) 1.061405429 -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(fma(-0.3275911, fabs(x), 1.0), 1.061405429, -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(fma(fma(-0.3275911, abs(x), 1.0), 1.061405429, -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[(-0.3275911 * N[Abs[x], $MachinePrecision] + 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[((-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(\mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right), 1.061405429, -1.453152027\right)}{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 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
Applied rewrites79.4%
Taylor expanded in x around 0
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
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 - ((((((((-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(-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[(-1.453152027 / 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{-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 79.4%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6479.4
Applied rewrites79.4%
Applied rewrites79.4%
Taylor expanded in x around inf
Applied rewrites55.9%
Final simplification55.9%
(FPCore (x) :precision binary64 (let* ((t_0 (fma (fabs x) 0.3275911 1.0))) (- 1.0 (* (exp (* (- x) x)) (/ (- 0.254829592 (/ 0.284496736 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 / 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(0.284496736 / 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[(0.284496736 / 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}{t\_0}}{t\_0}
\end{array}
\end{array}
Initial program 79.4%
Applied rewrites48.9%
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
lower-exp.f64N/A
mul-1-negN/A
unpow2N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
Applied rewrites55.9%
(FPCore (x) :precision binary64 (- (fma 0.284496736 (pow (fma 0.3275911 (fabs x) 1.0) -2.0) 1.0) (/ 0.254829592 (fma (fabs x) 0.3275911 1.0))))
double code(double x) {
return fma(0.284496736, pow(fma(0.3275911, fabs(x), 1.0), -2.0), 1.0) - (0.254829592 / fma(fabs(x), 0.3275911, 1.0));
}
function code(x) return Float64(fma(0.284496736, (fma(0.3275911, abs(x), 1.0) ^ -2.0), 1.0) - Float64(0.254829592 / fma(abs(x), 0.3275911, 1.0))) end
code[x_] := N[(N[(0.284496736 * N[Power[N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision], -2.0], $MachinePrecision] + 1.0), $MachinePrecision] - N[(0.254829592 / N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\mathsf{fma}\left(0.284496736, {\left(\mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\right)}^{-2}, 1\right) - \frac{0.254829592}{\mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)}
\end{array}
Initial program 79.4%
Applied rewrites48.9%
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
lower-exp.f64N/A
mul-1-negN/A
unpow2N/A
distribute-lft-neg-inN/A
lower-*.f64N/A
lower-neg.f64N/A
lower-/.f64N/A
Applied rewrites55.9%
Taylor expanded in x around 0
Applied rewrites54.7%
Applied rewrites54.7%
herbie shell --seed 2024313
(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)))))))