
(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 11 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
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (fma t_1 (/ (pow (exp x) (- x)) t_0) 1.0))
(t_3 (/ (/ t_1 (pow (exp x) x)) t_0))
(t_4 (+ (pow t_3 2.0) 1.0))
(t_5 (pow t_2 -2.0))
(t_6 (* (/ t_5 t_4) t_2))
(t_7 (/ (* (pow t_3 4.0) t_5) (/ t_4 (- -1.0 t_3)))))
(/ (- (pow t_6 2.0) (* t_7 t_7)) (- t_6 t_7))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 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 = fma(t_1, (pow(exp(x), -x) / t_0), 1.0);
double t_3 = (t_1 / pow(exp(x), x)) / t_0;
double t_4 = pow(t_3, 2.0) + 1.0;
double t_5 = pow(t_2, -2.0);
double t_6 = (t_5 / t_4) * t_2;
double t_7 = (pow(t_3, 4.0) * t_5) / (t_4 / (-1.0 - t_3));
return (pow(t_6, 2.0) - (t_7 * t_7)) / (t_6 - t_7);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 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 = fma(t_1, Float64((exp(x) ^ Float64(-x)) / t_0), 1.0) t_3 = Float64(Float64(t_1 / (exp(x) ^ x)) / t_0) t_4 = Float64((t_3 ^ 2.0) + 1.0) t_5 = t_2 ^ -2.0 t_6 = Float64(Float64(t_5 / t_4) * t_2) t_7 = Float64(Float64((t_3 ^ 4.0) * t_5) / Float64(t_4 / Float64(-1.0 - t_3))) return Float64(Float64((t_6 ^ 2.0) - Float64(t_7 * t_7)) / Float64(t_6 - t_7)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 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[(t$95$1 * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(t$95$1 / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[t$95$3, 2.0], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[Power[t$95$2, -2.0], $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$5 / t$95$4), $MachinePrecision] * t$95$2), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[Power[t$95$3, 4.0], $MachinePrecision] * t$95$5), $MachinePrecision] / N[(t$95$4 / N[(-1.0 - t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$6, 2.0], $MachinePrecision] - N[(t$95$7 * t$95$7), $MachinePrecision]), $MachinePrecision] / N[(t$95$6 - t$95$7), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 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 := \mathsf{fma}\left(t\_1, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, 1\right)\\
t_3 := \frac{\frac{t\_1}{{\left(e^{x}\right)}^{x}}}{t\_0}\\
t_4 := {t\_3}^{2} + 1\\
t_5 := {t\_2}^{-2}\\
t_6 := \frac{t\_5}{t\_4} \cdot t\_2\\
t_7 := \frac{{t\_3}^{4} \cdot t\_5}{\frac{t\_4}{-1 - t\_3}}\\
\frac{{t\_6}^{2} - t\_7 \cdot t\_7}{t\_6 - t\_7}
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites82.2%
Applied rewrites82.2%
Applied rewrites85.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_2 (fma t_1 (/ (pow (exp x) (- x)) t_0) 1.0))
(t_3 (pow t_2 -2.0))
(t_4 (/ (/ t_1 (pow (exp x) x)) t_0))
(t_5 (+ (pow t_4 2.0) 1.0)))
(fma t_3 (/ t_2 t_5) (/ (* (pow t_4 4.0) t_3) (/ t_5 (- -1.0 t_4))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 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 = fma(t_1, (pow(exp(x), -x) / t_0), 1.0);
double t_3 = pow(t_2, -2.0);
double t_4 = (t_1 / pow(exp(x), x)) / t_0;
double t_5 = pow(t_4, 2.0) + 1.0;
return fma(t_3, (t_2 / t_5), ((pow(t_4, 4.0) * t_3) / (t_5 / (-1.0 - t_4))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 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 = fma(t_1, Float64((exp(x) ^ Float64(-x)) / t_0), 1.0) t_3 = t_2 ^ -2.0 t_4 = Float64(Float64(t_1 / (exp(x) ^ x)) / t_0) t_5 = Float64((t_4 ^ 2.0) + 1.0) return fma(t_3, Float64(t_2 / t_5), Float64(Float64((t_4 ^ 4.0) * t_3) / Float64(t_5 / Float64(-1.0 - t_4)))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(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[(t$95$1 * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[Power[t$95$2, -2.0], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, Block[{t$95$5 = N[(N[Power[t$95$4, 2.0], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(t$95$3 * N[(t$95$2 / t$95$5), $MachinePrecision] + N[(N[(N[Power[t$95$4, 4.0], $MachinePrecision] * t$95$3), $MachinePrecision] / N[(t$95$5 / N[(-1.0 - t$95$4), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 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 := \mathsf{fma}\left(t\_1, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, 1\right)\\
t_3 := {t\_2}^{-2}\\
t_4 := \frac{\frac{t\_1}{{\left(e^{x}\right)}^{x}}}{t\_0}\\
t_5 := {t\_4}^{2} + 1\\
\mathsf{fma}\left(t\_3, \frac{t\_2}{t\_5}, \frac{{t\_4}^{4} \cdot t\_3}{\frac{t\_5}{-1 - t\_4}}\right)
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites82.2%
Applied rewrites82.2%
Applied rewrites82.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (exp x) x))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741) t_1)
-0.284496736)
t_1))
(t_3 (+ t_2 0.254829592))
(t_4 (/ (pow (exp x) (- x)) t_1))
(t_5 (fma t_3 t_4 1.0))
(t_6 (+ 0.254829592 t_2))
(t_7 (fma t_6 t_4 1.0))
(t_8 (/ t_6 (* t_1 t_0))))
(-
(* (pow t_5 -2.0) (/ t_5 (+ (pow (/ (/ t_3 t_0) t_1) 2.0) 1.0)))
(/ (* (pow t_8 4.0) (pow t_7 -2.0)) (/ (+ (pow t_8 2.0) 1.0) t_7)))))
double code(double x) {
double t_0 = pow(exp(x), x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = ((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1;
double t_3 = t_2 + 0.254829592;
double t_4 = pow(exp(x), -x) / t_1;
double t_5 = fma(t_3, t_4, 1.0);
double t_6 = 0.254829592 + t_2;
double t_7 = fma(t_6, t_4, 1.0);
double t_8 = t_6 / (t_1 * t_0);
return (pow(t_5, -2.0) * (t_5 / (pow(((t_3 / t_0) / t_1), 2.0) + 1.0))) - ((pow(t_8, 4.0) * pow(t_7, -2.0)) / ((pow(t_8, 2.0) + 1.0) / t_7));
}
function code(x) t_0 = exp(x) ^ x t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) t_3 = Float64(t_2 + 0.254829592) t_4 = Float64((exp(x) ^ Float64(-x)) / t_1) t_5 = fma(t_3, t_4, 1.0) t_6 = Float64(0.254829592 + t_2) t_7 = fma(t_6, t_4, 1.0) t_8 = Float64(t_6 / Float64(t_1 * t_0)) return Float64(Float64((t_5 ^ -2.0) * Float64(t_5 / Float64((Float64(Float64(t_3 / t_0) / t_1) ^ 2.0) + 1.0))) - Float64(Float64((t_8 ^ 4.0) * (t_7 ^ -2.0)) / Float64(Float64((t_8 ^ 2.0) + 1.0) / t_7))) end
code[x_] := Block[{t$95$0 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(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]}, Block[{t$95$3 = N[(t$95$2 + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 * t$95$4 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(0.254829592 + t$95$2), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$6 * t$95$4 + 1.0), $MachinePrecision]}, Block[{t$95$8 = N[(t$95$6 / N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[t$95$5, -2.0], $MachinePrecision] * N[(t$95$5 / N[(N[Power[N[(N[(t$95$3 / t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision], 2.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[(N[Power[t$95$8, 4.0], $MachinePrecision] * N[Power[t$95$7, -2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[t$95$8, 2.0], $MachinePrecision] + 1.0), $MachinePrecision] / t$95$7), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(e^{x}\right)}^{x}\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741}{t\_1} + -0.284496736}{t\_1}\\
t_3 := t\_2 + 0.254829592\\
t_4 := \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_1}\\
t_5 := \mathsf{fma}\left(t\_3, t\_4, 1\right)\\
t_6 := 0.254829592 + t\_2\\
t_7 := \mathsf{fma}\left(t\_6, t\_4, 1\right)\\
t_8 := \frac{t\_6}{t\_1 \cdot t\_0}\\
{t\_5}^{-2} \cdot \frac{t\_5}{{\left(\frac{\frac{t\_3}{t\_0}}{t\_1}\right)}^{2} + 1} - \frac{{t\_8}^{4} \cdot {t\_7}^{-2}}{\frac{{t\_8}^{2} + 1}{t\_7}}
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites82.2%
Applied rewrites82.2%
Applied rewrites82.2%
(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 (fma t_1 (/ (pow (exp x) (- x)) t_0) 1.0) -2.0))
(t_3 (/ t_1 (* t_0 (pow (exp x) x))))
(t_4 (+ (pow t_3 2.0) 1.0)))
(/ (- (/ t_2 t_4) (/ (* (pow t_3 4.0) t_2) t_4)) (exp (- (log1p 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 = pow(fma(t_1, (pow(exp(x), -x) / t_0), 1.0), -2.0);
double t_3 = t_1 / (t_0 * pow(exp(x), x));
double t_4 = pow(t_3, 2.0) + 1.0;
return ((t_2 / t_4) - ((pow(t_3, 4.0) * t_2) / t_4)) / exp(-log1p(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 = fma(t_1, Float64((exp(x) ^ Float64(-x)) / t_0), 1.0) ^ -2.0 t_3 = Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) t_4 = Float64((t_3 ^ 2.0) + 1.0) return Float64(Float64(Float64(t_2 / t_4) - Float64(Float64((t_3 ^ 4.0) * t_2) / t_4)) / exp(Float64(-log1p(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[Power[N[(t$95$1 * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision], -2.0], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[Power[t$95$3, 2.0], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(N[(N[(t$95$2 / t$95$4), $MachinePrecision] - N[(N[(N[Power[t$95$3, 4.0], $MachinePrecision] * t$95$2), $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[Exp[(-N[Log[1 + 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 := {\left(\mathsf{fma}\left(t\_1, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, 1\right)\right)}^{-2}\\
t_3 := \frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\\
t_4 := {t\_3}^{2} + 1\\
\frac{\frac{t\_2}{t\_4} - \frac{{t\_3}^{4} \cdot t\_2}{t\_4}}{e^{-\mathsf{log1p}\left(t\_3\right)}}
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites82.2%
Applied rewrites81.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 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 (pow (exp x) x)) t_0)))
(/
(* (- (pow t_2 6.0) 1.0) -1.0)
(*
(+ (+ (pow t_2 2.0) 1.0) (pow t_2 4.0))
(fma t_1 (/ (pow (exp x) (- x)) t_0) 1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 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 / pow(exp(x), x)) / t_0;
return ((pow(t_2, 6.0) - 1.0) * -1.0) / (((pow(t_2, 2.0) + 1.0) + pow(t_2, 4.0)) * fma(t_1, (pow(exp(x), -x) / t_0), 1.0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 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 / (exp(x) ^ x)) / t_0) return Float64(Float64(Float64((t_2 ^ 6.0) - 1.0) * -1.0) / Float64(Float64(Float64((t_2 ^ 2.0) + 1.0) + (t_2 ^ 4.0)) * fma(t_1, Float64((exp(x) ^ Float64(-x)) / 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[(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 / N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]}, N[(N[(N[(N[Power[t$95$2, 6.0], $MachinePrecision] - 1.0), $MachinePrecision] * -1.0), $MachinePrecision] / N[(N[(N[(N[Power[t$95$2, 2.0], $MachinePrecision] + 1.0), $MachinePrecision] + N[Power[t$95$2, 4.0], $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$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 := \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}{{\left(e^{x}\right)}^{x}}}{t\_0}\\
\frac{\left({t\_2}^{6} - 1\right) \cdot -1}{\left(\left({t\_2}^{2} + 1\right) + {t\_2}^{4}\right) \cdot \mathsf{fma}\left(t\_1, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, 1\right)}
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites77.8%
lift-log.f64N/A
lift-+.f64N/A
flip-+N/A
log-divN/A
Applied rewrites30.5%
Applied rewrites77.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0)))
(-
1.0
(*
(*
(pow (+ 1.0 (* 0.3275911 (fabs x))) -1.0)
(+
0.254829592
(fma
(/ (- 2.020417023103615 (pow t_1 2.0)) t_0)
(/ (pow (- 1.421413741 t_1) -1.0) t_0)
(/ -0.284496736 t_0))))
(exp (* (- x) x))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = ((1.061405429 / t_0) + -1.453152027) / t_0;
return 1.0 - ((pow((1.0 + (0.3275911 * fabs(x))), -1.0) * (0.254829592 + fma(((2.020417023103615 - pow(t_1, 2.0)) / t_0), (pow((1.421413741 - t_1), -1.0) / t_0), (-0.284496736 / t_0)))) * exp((-x * x)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) return Float64(1.0 - Float64(Float64((Float64(1.0 + Float64(0.3275911 * abs(x))) ^ -1.0) * Float64(0.254829592 + fma(Float64(Float64(2.020417023103615 - (t_1 ^ 2.0)) / t_0), Float64((Float64(1.421413741 - t_1) ^ -1.0) / t_0), Float64(-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]}, Block[{t$95$1 = N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$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[(2.020417023103615 - N[Power[t$95$1, 2.0], $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] * N[(N[Power[N[(1.421413741 - t$95$1), $MachinePrecision], -1.0], $MachinePrecision] / t$95$0), $MachinePrecision] + N[(-0.284496736 / t$95$0), $MachinePrecision]), $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)\\
t_1 := \frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0}\\
1 - \left({\left(1 + 0.3275911 \cdot \left|x\right|\right)}^{-1} \cdot \left(0.254829592 + \mathsf{fma}\left(\frac{2.020417023103615 - {t\_1}^{2}}{t\_0}, \frac{{\left(1.421413741 - t\_1\right)}^{-1}}{t\_0}, \frac{-0.284496736}{t\_0}\right)\right)\right) \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 77.7%
Applied rewrites77.8%
Final simplification77.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (/ (pow (exp x) (- x)) t_0)))
(-
(-
1.0
(*
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
t_0)
t_1))
(* 0.254829592 t_1))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = pow(exp(x), -x) / t_0;
return (1.0 - ((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) * t_1)) - (0.254829592 * t_1);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64((exp(x) ^ Float64(-x)) / t_0) return Float64(Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) * t_1)) - Float64(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[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision]}, N[(N[(1.0 - 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] * t$95$1), $MachinePrecision]), $MachinePrecision] - N[(0.254829592 * t$95$1), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}\\
\left(1 - \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} \cdot t\_1\right) - 0.254829592 \cdot t\_1
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6477.7
Applied rewrites77.7%
Applied rewrites76.5%
Applied rewrites77.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1 (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(*
(- (pow t_1 2.0) 2.020417023103615)
(pow (- t_1 1.421413741) -1.0))
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);
double t_1 = ((1.061405429 / t_0) + -1.453152027) / t_0;
return 1.0 - ((((((((pow(t_1, 2.0) - 2.020417023103615) * pow((t_1 - 1.421413741), -1.0)) / 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) t_1 = Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64((t_1 ^ 2.0) - 2.020417023103615) * (Float64(t_1 - 1.421413741) ^ -1.0)) / 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]}, Block[{t$95$1 = N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[Power[t$95$1, 2.0], $MachinePrecision] - 2.020417023103615), $MachinePrecision] * N[Power[N[(t$95$1 - 1.421413741), $MachinePrecision], -1.0], $MachinePrecision]), $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)\\
t_1 := \frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0}\\
1 - \frac{\frac{\frac{\left({t\_1}^{2} - 2.020417023103615\right) \cdot {\left(t\_1 - 1.421413741\right)}^{-1}}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6477.7
Applied rewrites77.7%
lift-+.f64N/A
flip-+N/A
div-invN/A
lower-*.f64N/A
lower--.f64N/A
pow2N/A
lower-pow.f64N/A
metadata-evalN/A
lower-/.f64N/A
Applied rewrites77.8%
Final simplification77.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(fma
(+
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0)
0.254829592)
(/ (pow (exp x) (- x)) (- t_0))
1.0)))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return fma((((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0) + 0.254829592), (pow(exp(x), -x) / -t_0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return fma(Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0) + 0.254829592), Float64((exp(x) ^ Float64(-x)) / Float64(-t_0)), 1.0) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, 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] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / (-t$95$0)), $MachinePrecision] + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
\mathsf{fma}\left(\frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0} + 0.254829592, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{-t\_0}, 1\right)
\end{array}
\end{array}
Initial program 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites77.7%
Final simplification77.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(*
(/
(+
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
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 - ((((((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / 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(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / 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[(-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] + 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{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{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 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
Applied rewrites77.7%
Final simplification77.7%
(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 77.7%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6477.7
Applied rewrites77.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f6477.7
Applied rewrites77.7%
Final simplification77.7%
herbie shell --seed 2024314
(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)))))))