
(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 0.3275911 (fabs x) 1.0))
(t_1
(+
0.254829592
(/
(+
-0.284496736
(/
(- 1.421413741 (/ (- 1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0)))
(t_2 (/ t_1 (* (pow (exp x) x) t_0)))
(t_3 (fma (/ (pow (exp x) (- x)) t_0) t_1 1.0))
(t_4 (* t_2 t_3)))
(fma
(/ 1.0 (+ (pow t_4 3.0) 1.0))
(+ (pow t_4 2.0) (- 1.0 t_4))
(/ (- (pow t_2 3.0)) (fma t_3 t_2 1.0)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = 0.254829592 + ((-0.284496736 + ((1.421413741 - ((1.453152027 - (1.061405429 / t_0)) / t_0)) / t_0)) / t_0);
double t_2 = t_1 / (pow(exp(x), x) * t_0);
double t_3 = fma((pow(exp(x), -x) / t_0), t_1, 1.0);
double t_4 = t_2 * t_3;
return fma((1.0 / (pow(t_4, 3.0) + 1.0)), (pow(t_4, 2.0) + (1.0 - t_4)), (-pow(t_2, 3.0) / fma(t_3, t_2, 1.0)));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 - Float64(Float64(1.453152027 - Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) t_2 = Float64(t_1 / Float64((exp(x) ^ x) * t_0)) t_3 = fma(Float64((exp(x) ^ Float64(-x)) / t_0), t_1, 1.0) t_4 = Float64(t_2 * t_3) return fma(Float64(1.0 / Float64((t_4 ^ 3.0) + 1.0)), Float64((t_4 ^ 2.0) + Float64(1.0 - t_4)), Float64(Float64(-(t_2 ^ 3.0)) / fma(t_3, t_2, 1.0))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 - N[(N[(1.453152027 - N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 / N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] * t$95$1 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 * t$95$3), $MachinePrecision]}, N[(N[(1.0 / N[(N[Power[t$95$4, 3.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$4, 2.0], $MachinePrecision] + N[(1.0 - t$95$4), $MachinePrecision]), $MachinePrecision] + N[((-N[Power[t$95$2, 3.0], $MachinePrecision]) / N[(t$95$3 * t$95$2 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := 0.254829592 + \frac{-0.284496736 + \frac{1.421413741 - \frac{1.453152027 - \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\\
t_2 := \frac{t\_1}{{\left(e^{x}\right)}^{x} \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, t\_1, 1\right)\\
t_4 := t\_2 \cdot t\_3\\
\mathsf{fma}\left(\frac{1}{{t\_4}^{3} + 1}, {t\_4}^{2} + \left(1 - t\_4\right), \frac{-{t\_2}^{3}}{\mathsf{fma}\left(t\_3, t\_2, 1\right)}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
lift-+.f64N/A
flip-+N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.6%
Applied rewrites81.2%
Final simplification81.2%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (pow (exp x) x))
(t_2
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(- 1.421413741 (/ (- 1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0))
(* t_1 t_0)))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4 (+ (+ (pow t_2 6.0) 1.0) (pow t_2 3.0)))
(t_5
(+
(/
(+
(/
(+ (/ (+ -1.453152027 (/ 1.061405429 t_3)) t_3) 1.421413741)
t_3)
-0.284496736)
t_3)
0.254829592)))
(/
(- (/ 1.0 t_4) (/ (pow t_2 9.0) t_4))
(fma (/ t_5 (* t_3 t_1)) (fma (pow (exp x) (- x)) (/ t_5 t_3) 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 = (0.254829592 + ((-0.284496736 + ((1.421413741 - ((1.453152027 - (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / (t_1 * t_0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (pow(t_2, 6.0) + 1.0) + pow(t_2, 3.0);
double t_5 = ((((((-1.453152027 + (1.061405429 / t_3)) / t_3) + 1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592;
return ((1.0 / t_4) - (pow(t_2, 9.0) / t_4)) / fma((t_5 / (t_3 * t_1)), fma(pow(exp(x), -x), (t_5 / t_3), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(x) ^ x t_2 = 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)) / Float64(t_1 * t_0)) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64((t_2 ^ 6.0) + 1.0) + (t_2 ^ 3.0)) t_5 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_3)) / t_3) + 1.421413741) / t_3) + -0.284496736) / t_3) + 0.254829592) return Float64(Float64(Float64(1.0 / t_4) - Float64((t_2 ^ 9.0) / t_4)) / fma(Float64(t_5 / Float64(t_3 * t_1)), fma((exp(x) ^ Float64(-x)), Float64(t_5 / t_3), 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[(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] / N[(t$95$1 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[Power[t$95$2, 6.0], $MachinePrecision] + 1.0), $MachinePrecision] + N[Power[t$95$2, 3.0], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$3), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$3), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(N[(1.0 / t$95$4), $MachinePrecision] - N[(N[Power[t$95$2, 9.0], $MachinePrecision] / t$95$4), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$5 / N[(t$95$3 * t$95$1), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(t$95$5 / t$95$3), $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 := \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 - \frac{1.453152027 - \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}}{t\_1 \cdot t\_0}\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \left({t\_2}^{6} + 1\right) + {t\_2}^{3}\\
t_5 := \frac{\frac{\frac{-1.453152027 + \frac{1.061405429}{t\_3}}{t\_3} + 1.421413741}{t\_3} + -0.284496736}{t\_3} + 0.254829592\\
\frac{\frac{1}{t\_4} - \frac{{t\_2}^{9}}{t\_4}}{\mathsf{fma}\left(\frac{t\_5}{t\_3 \cdot t\_1}, \mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{t\_5}{t\_3}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.8%
Applied rewrites80.1%
Final simplification80.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(-
0.254829592
(/
(-
(/ (- (/ (- 1.453152027 (/ 1.061405429 t_0)) t_0) 1.421413741) t_0)
-0.284496736)
t_0)))
(t_2 (fma t_1 (/ (pow (exp x) (- x)) t_0) 1.0))
(t_3 (/ t_1 (* t_0 (pow (exp x) x)))))
(fma
(/ (- (pow t_3 3.0)) (expm1 (* (+ (log t_3) (log1p t_3)) 2.0)))
(fma t_3 t_2 -1.0)
(pow (fma t_3 t_2 1.0) -1.0))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.254829592 - ((((((1.453152027 - (1.061405429 / t_0)) / t_0) - 1.421413741) / t_0) - -0.284496736) / t_0);
double t_2 = fma(t_1, (pow(exp(x), -x) / t_0), 1.0);
double t_3 = t_1 / (t_0 * pow(exp(x), x));
return fma((-pow(t_3, 3.0) / expm1(((log(t_3) + log1p(t_3)) * 2.0))), fma(t_3, t_2, -1.0), pow(fma(t_3, t_2, 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(1.453152027 - Float64(1.061405429 / t_0)) / t_0) - 1.421413741) / t_0) - -0.284496736) / t_0)) t_2 = fma(t_1, Float64((exp(x) ^ Float64(-x)) / t_0), 1.0) t_3 = Float64(t_1 / Float64(t_0 * (exp(x) ^ x))) return fma(Float64(Float64(-(t_3 ^ 3.0)) / expm1(Float64(Float64(log(t_3) + log1p(t_3)) * 2.0))), fma(t_3, t_2, -1.0), (fma(t_3, t_2, 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[(1.453152027 - N[(1.061405429 / t$95$0), $MachinePrecision]), $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[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(t$95$0 * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[((-N[Power[t$95$3, 3.0], $MachinePrecision]) / N[(Exp[N[(N[(N[Log[t$95$3], $MachinePrecision] + N[Log[1 + t$95$3], $MachinePrecision]), $MachinePrecision] * 2.0), $MachinePrecision]] - 1), $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * t$95$2 + -1.0), $MachinePrecision] + N[Power[N[(t$95$3 * t$95$2 + 1.0), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 0.254829592 - \frac{\frac{\frac{1.453152027 - \frac{1.061405429}{t\_0}}{t\_0} - 1.421413741}{t\_0} - -0.284496736}{t\_0}\\
t_2 := \mathsf{fma}\left(t\_1, \frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, 1\right)\\
t_3 := \frac{t\_1}{t\_0 \cdot {\left(e^{x}\right)}^{x}}\\
\mathsf{fma}\left(\frac{-{t\_3}^{3}}{\mathsf{expm1}\left(\left(\log t\_3 + \mathsf{log1p}\left(t\_3\right)\right) \cdot 2\right)}, \mathsf{fma}\left(t\_3, t\_2, -1\right), {\left(\mathsf{fma}\left(t\_3, t\_2, 1\right)\right)}^{-1}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
lift-+.f64N/A
flip-+N/A
div-subN/A
lower--.f64N/A
Applied rewrites79.6%
Applied rewrites81.2%
Applied rewrites80.0%
Final simplification80.0%
(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
(+
(/
(+
(/
(+ (/ (+ -1.453152027 (/ 1.061405429 t_2)) t_2) 1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592)))
(/
(-
1.0
(/
1.0
(/
(pow (* t_1 t_0) 3.0)
(pow
(+
0.254829592
(/
(+
-0.284496736
(/ (- 1.421413741 (/ (- 1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
3.0))))
(fma (/ t_3 (* t_2 t_1)) (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 = ((((((-1.453152027 + (1.061405429 / t_2)) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
return (1.0 - (1.0 / (pow((t_1 * t_0), 3.0) / pow((0.254829592 + ((-0.284496736 + ((1.421413741 - ((1.453152027 - (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)), 3.0)))) / fma((t_3 / (t_2 * t_1)), 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(-1.453152027 + Float64(1.061405429 / t_2)) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) return Float64(Float64(1.0 - Float64(1.0 / Float64((Float64(t_1 * t_0) ^ 3.0) / (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)) ^ 3.0)))) / fma(Float64(t_3 / Float64(t_2 * t_1)), 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[(-1.453152027 + N[(1.061405429 / t$95$2), $MachinePrecision]), $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[(1.0 / N[(N[Power[N[(t$95$1 * t$95$0), $MachinePrecision], 3.0], $MachinePrecision] / N[Power[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], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$3 / N[(t$95$2 * t$95$1), $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{-1.453152027 + \frac{1.061405429}{t\_2}}{t\_2} + 1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
\frac{1 - \frac{1}{\frac{{\left(t\_1 \cdot t\_0\right)}^{3}}{{\left(0.254829592 + \frac{-0.284496736 + \frac{1.421413741 - \frac{1.453152027 - \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}\right)}^{3}}}}{\mathsf{fma}\left(\frac{t\_3}{t\_2 \cdot t\_1}, \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 78.8%
Applied rewrites78.8%
Applied rewrites80.0%
Final simplification80.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (pow (exp x) (- x)) 0.5))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2 (fma -0.3275911 (fabs x) -1.0)))
(fma
(*
t_0
(/
(+
(/
(fma
(pow (pow t_2 2.0) -1.0)
(+ -1.453152027 (/ 1.061405429 t_1))
(+ (/ -1.421413741 t_2) -0.284496736))
t_1)
0.254829592)
t_2))
t_0
1.0)))
double code(double x) {
double t_0 = pow(pow(exp(x), -x), 0.5);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = fma(-0.3275911, fabs(x), -1.0);
return fma((t_0 * (((fma(pow(pow(t_2, 2.0), -1.0), (-1.453152027 + (1.061405429 / t_1)), ((-1.421413741 / t_2) + -0.284496736)) / t_1) + 0.254829592) / t_2)), t_0, 1.0);
}
function code(x) t_0 = (exp(x) ^ Float64(-x)) ^ 0.5 t_1 = fma(0.3275911, abs(x), 1.0) t_2 = fma(-0.3275911, abs(x), -1.0) return fma(Float64(t_0 * Float64(Float64(Float64(fma(((t_2 ^ 2.0) ^ -1.0), Float64(-1.453152027 + Float64(1.061405429 / t_1)), Float64(Float64(-1.421413741 / t_2) + -0.284496736)) / t_1) + 0.254829592) / t_2)), t_0, 1.0) end
code[x_] := Block[{t$95$0 = N[Power[N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision], 0.5], $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, N[(N[(t$95$0 * N[(N[(N[(N[(N[Power[N[Power[t$95$2, 2.0], $MachinePrecision], -1.0], $MachinePrecision] * N[(-1.453152027 + N[(1.061405429 / t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(-1.421413741 / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left({\left(e^{x}\right)}^{\left(-x\right)}\right)}^{0.5}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := \mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)\\
\mathsf{fma}\left(t\_0 \cdot \frac{\frac{\mathsf{fma}\left({\left({t\_2}^{2}\right)}^{-1}, -1.453152027 + \frac{1.061405429}{t\_1}, \frac{-1.421413741}{t\_2} + -0.284496736\right)}{t\_1} + 0.254829592}{t\_2}, t\_0, 1\right)
\end{array}
\end{array}
Initial program 78.8%
lift-*.f64N/A
lift-+.f64N/A
distribute-lft-inN/A
+-commutativeN/A
Applied rewrites78.8%
Applied rewrites78.9%
Final simplification78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)) (t_1 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(exp (* (- (fabs x)) (fabs x)))
(*
(- 1.0 (* (fabs x) 0.3275911))
(/
(+
(/
(+
(/
(fma
(pow t_0 -1.0)
(+ -1.453152027 (/ 1.061405429 t_0))
1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)
(- 1.0 (* (* x x) 0.10731592879921))))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (exp((-fabs(x) * fabs(x))) * ((1.0 - (fabs(x) * 0.3275911)) * (((((fma(pow(t_0, -1.0), (-1.453152027 + (1.061405429 / t_0)), 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / (1.0 - ((x * x) * 0.10731592879921)))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-abs(x)) * abs(x))) * Float64(Float64(1.0 - Float64(abs(x) * 0.3275911)) * Float64(Float64(Float64(Float64(Float64(fma((t_0 ^ -1.0), Float64(-1.453152027 + Float64(1.061405429 / t_0)), 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921)))))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 - N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[Power[t$95$0, -1.0], $MachinePrecision] * N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - e^{\left(-\left|x\right|\right) \cdot \left|x\right|} \cdot \left(\left(1 - \left|x\right| \cdot 0.3275911\right) \cdot \frac{\frac{\frac{\mathsf{fma}\left({t\_0}^{-1}, -1.453152027 + \frac{1.061405429}{t\_0}, 1.421413741\right)}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{1 - \left(x \cdot x\right) \cdot 0.10731592879921}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.8%
lift-+.f64N/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
lift-fma.f64N/A
*-commutativeN/A
lift-*.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-/.f64N/A
lower-fma.f6478.8
Applied rewrites78.8%
Final simplification78.8%
(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)
(+ (* (* x x) 0.10731592879921) -1.0))
(- (* (fabs x) 0.3275911) 1.0))
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
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) / (((x * x) * 0.10731592879921) + -1.0)) * ((fabs(x) * 0.3275911) - 1.0)) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(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(Float64(Float64(x * x) * 0.10731592879921) + -1.0)) * Float64(Float64(abs(x) * 0.3275911) - 1.0)) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(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[(N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[Abs[x], $MachinePrecision] * 0.3275911), $MachinePrecision] - 1.0), $MachinePrecision]), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \left(\frac{\frac{\frac{\frac{\mathsf{fma}\left(\frac{1.061405429}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)}, \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right), -1.453152027\right)}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{\left(x \cdot x\right) \cdot 0.10731592879921 + -1} \cdot \left(\left|x\right| \cdot 0.3275911 - 1\right)\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.8%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(/
(+
(/
(+
(/ 1.421413741 t_1)
(+ (/ (/ (+ -1.453152027 (/ 1.061405429 t_1)) t_1) t_1) -0.284496736))
t_0)
0.254829592)
t_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);
return 1.0 - (exp((-x * x)) * (((((1.421413741 / t_1) + ((((-1.453152027 + (1.061405429 / t_1)) / t_1) / t_1) + -0.284496736)) / t_0) + 0.254829592) / t_0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-x) * x)) * Float64(Float64(Float64(Float64(Float64(1.421413741 / t_1) + Float64(Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_1)) / t_1) / t_1) + -0.284496736)) / t_0) + 0.254829592) / t_0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(1.421413741 / t$95$1), $MachinePrecision] + N[(N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - e^{\left(-x\right) \cdot x} \cdot \frac{\frac{\frac{1.421413741}{t\_1} + \left(\frac{\frac{-1.453152027 + \frac{1.061405429}{t\_1}}{t\_1}}{t\_1} + -0.284496736\right)}{t\_0} + 0.254829592}{t\_0}
\end{array}
\end{array}
Initial program 78.8%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.8
Applied rewrites78.8%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.8
Applied rewrites78.8%
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/
(fma
(/ 1.061405429 (fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0)
-1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
t_0)
(exp (* (- (fabs x)) (fabs x)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - ((((((((fma((1.061405429 / fma((x * x), 0.10731592879921, -1.0)), fma(0.3275911, fabs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp((-fabs(x) * fabs(x))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(1.061405429 / fma(Float64(x * x), 0.10731592879921, -1.0)), fma(0.3275911, abs(x), -1.0), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0) * exp(Float64(Float64(-abs(x)) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / N[(N[(x * x), $MachinePrecision] * 0.10731592879921 + -1.0), $MachinePrecision]), $MachinePrecision] * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \frac{\frac{\frac{\frac{\mathsf{fma}\left(\frac{1.061405429}{\mathsf{fma}\left(x \cdot x, 0.10731592879921, -1\right)}, \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right), -1.453152027\right)}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.8%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.8
Applied rewrites78.8%
lift-+.f64N/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(fma (/ -1.0 t_1) (- 1.453152027 (/ 1.061405429 t_1)) 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);
double t_1 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((((((fma((-1.0 / t_1), (1.453152027 - (1.061405429 / t_1)), 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) t_1 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(fma(Float64(-1.0 / t_1), Float64(1.453152027 - Float64(1.061405429 / t_1)), 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]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(-1.0 / t$95$1), $MachinePrecision] * N[(1.453152027 - N[(1.061405429 / t$95$1), $MachinePrecision]), $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)\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{\frac{\frac{\mathsf{fma}\left(\frac{-1}{t\_1}, 1.453152027 - \frac{1.061405429}{t\_1}, 1.421413741\right)}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0} \cdot e^{\left(-x\right) \cdot x}
\end{array}
\end{array}
Initial program 78.8%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.8
Applied rewrites78.8%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.8
Applied rewrites78.8%
lift-+.f64N/A
lift-/.f64N/A
frac-2negN/A
lift-neg.f64N/A
div-invN/A
metadata-evalN/A
frac-2negN/A
lift-/.f64N/A
*-commutativeN/A
lower-fma.f6478.8
Applied rewrites78.8%
Final simplification78.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(exp (* (- x) x))
(/
(+
(/
(+
(/ (+ (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0) 1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
t_0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return 1.0 - (exp((-x * x)) * ((((((((-1.453152027 + (1.061405429 / t_0)) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return Float64(1.0 - Float64(exp(Float64(Float64(-x) * x)) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / t_0))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $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]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - e^{\left(-x\right) \cdot x} \cdot \frac{\frac{\frac{\frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0}
\end{array}
\end{array}
Initial program 78.8%
lift-*.f64N/A
*-commutativeN/A
lift-/.f64N/A
un-div-invN/A
lower-/.f6478.8
Applied rewrites78.8%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f6478.8
Applied rewrites78.8%
Final simplification78.8%
herbie shell --seed 2024285
(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)))))))