
(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 10 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_0 (exp (* x x)))))
(t_2 (pow t_1 2.0)))
(/ (+ (/ 1.0 (+ 1.0 t_2)) (/ (pow t_1 4.0) (- -1.0 t_2))) (+ 1.0 t_1))))
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)) / (t_0 * exp((x * x)));
double t_2 = pow(t_1, 2.0);
return ((1.0 / (1.0 + t_2)) + (pow(t_1, 4.0) / (-1.0 - t_2))) / (1.0 + t_1);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / Float64(t_0 * exp(Float64(x * x)))) t_2 = t_1 ^ 2.0 return Float64(Float64(Float64(1.0 / Float64(1.0 + t_2)) + Float64((t_1 ^ 4.0) / Float64(-1.0 - t_2))) / Float64(1.0 + t_1)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Power[t$95$1, 2.0], $MachinePrecision]}, N[(N[(N[(1.0 / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Power[t$95$1, 4.0], $MachinePrecision] / N[(-1.0 - t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}}{t\_0 \cdot e^{x \cdot x}}\\
t_2 := {t\_1}^{2}\\
\frac{\frac{1}{1 + t\_2} + \frac{{t\_1}^{4}}{-1 - t\_2}}{1 + t\_1}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift--.f64N/A
flip--N/A
Applied rewrites87.1%
Final simplification87.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0))
(t_1 (* t_0 t_0))
(t_2
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0))
t_0))
t_0))
(* t_0 (exp (* x x)))))
(t_3 (* t_0 t_1)))
(/
(-
(/ 1.0 (+ 1.0 (pow t_2 2.0)))
(/
(pow t_2 4.0)
(+
1.0
(/
(pow
(+
0.254829592
(+
(/ 1.061405429 (* t_0 t_3))
(-
(/ 1.421413741 t_1)
(+ (/ 0.284496736 t_0) (/ 1.453152027 t_3)))))
2.0)
t_1))))
(+ 1.0 t_2))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = t_0 * t_0;
double t_2 = (0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / (t_0 * exp((x * x)));
double t_3 = t_0 * t_1;
return ((1.0 / (1.0 + pow(t_2, 2.0))) - (pow(t_2, 4.0) / (1.0 + (pow((0.254829592 + ((1.061405429 / (t_0 * t_3)) + ((1.421413741 / t_1) - ((0.284496736 / t_0) + (1.453152027 / t_3))))), 2.0) / t_1)))) / (1.0 + t_2);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = Float64(t_0 * t_0) 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_0 * exp(Float64(x * x)))) t_3 = Float64(t_0 * t_1) return Float64(Float64(Float64(1.0 / Float64(1.0 + (t_2 ^ 2.0))) - Float64((t_2 ^ 4.0) / Float64(1.0 + Float64((Float64(0.254829592 + Float64(Float64(1.061405429 / Float64(t_0 * t_3)) + Float64(Float64(1.421413741 / t_1) - Float64(Float64(0.284496736 / t_0) + Float64(1.453152027 / t_3))))) ^ 2.0) / t_1)))) / Float64(1.0 + t_2)) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * t$95$0), $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$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t$95$0 * t$95$1), $MachinePrecision]}, N[(N[(N[(1.0 / N[(1.0 + N[Power[t$95$2, 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(N[Power[t$95$2, 4.0], $MachinePrecision] / N[(1.0 + N[(N[Power[N[(0.254829592 + N[(N[(1.061405429 / N[(t$95$0 * t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(1.421413741 / t$95$1), $MachinePrecision] - N[(N[(0.284496736 / t$95$0), $MachinePrecision] + N[(1.453152027 / t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], 2.0], $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$2), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_1 := t\_0 \cdot t\_0\\
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\_0 \cdot e^{x \cdot x}}\\
t_3 := t\_0 \cdot t\_1\\
\frac{\frac{1}{1 + {t\_2}^{2}} - \frac{{t\_2}^{4}}{1 + \frac{{\left(0.254829592 + \left(\frac{1.061405429}{t\_0 \cdot t\_3} + \left(\frac{1.421413741}{t\_1} - \left(\frac{0.284496736}{t\_0} + \frac{1.453152027}{t\_3}\right)\right)\right)\right)}^{2}}{t\_1}}}{1 + t\_2}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift--.f64N/A
flip--N/A
Applied rewrites87.1%
Taylor expanded in x around 0
Applied rewrites86.1%
Applied rewrites86.1%
(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 (* t_0 (exp (* x x))))))
(/
(-
1.0
(*
(/ t_1 (fma x (* x 0.10731592879921) -1.0))
(* t_2 (* (fma 0.3275911 (fabs x) -1.0) (exp (- (* x x)))))))
(+ 1.0 t_2))))
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 / (t_0 * exp((x * x)));
return (1.0 - ((t_1 / fma(x, (x * 0.10731592879921), -1.0)) * (t_2 * (fma(0.3275911, fabs(x), -1.0) * exp(-(x * x)))))) / (1.0 + t_2);
}
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(t_0 * exp(Float64(x * x)))) return Float64(Float64(1.0 - Float64(Float64(t_1 / fma(x, Float64(x * 0.10731592879921), -1.0)) * Float64(t_2 * Float64(fma(0.3275911, abs(x), -1.0) * exp(Float64(-Float64(x * x))))))) / Float64(1.0 + t_2)) 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[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[(N[(t$95$1 / N[(x * N[(x * 0.10731592879921), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(t$95$2 * N[(N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision] * N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$2), $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}{t\_0 \cdot e^{x \cdot x}}\\
\frac{1 - \frac{t\_1}{\mathsf{fma}\left(x, x \cdot 0.10731592879921, -1\right)} \cdot \left(t\_2 \cdot \left(\mathsf{fma}\left(0.3275911, \left|x\right|, -1\right) \cdot e^{-x \cdot x}\right)\right)}{1 + t\_2}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-pow.f64N/A
unpow2N/A
lift-/.f64N/A
lift-/.f64N/A
Applied rewrites80.4%
Applied rewrites80.5%
Final simplification80.5%
(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 (exp (* x x)))
(t_3 (/ t_1 (* t_0 t_2))))
(/
(-
1.0
(/
(* t_3 (* t_1 (fma 0.3275911 (fabs x) -1.0)))
(* t_2 (fma x (* x 0.10731592879921) -1.0))))
(+ 1.0 t_3))))
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 = exp((x * x));
double t_3 = t_1 / (t_0 * t_2);
return (1.0 - ((t_3 * (t_1 * fma(0.3275911, fabs(x), -1.0))) / (t_2 * fma(x, (x * 0.10731592879921), -1.0)))) / (1.0 + t_3);
}
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 = exp(Float64(x * x)) t_3 = Float64(t_1 / Float64(t_0 * t_2)) return Float64(Float64(1.0 - Float64(Float64(t_3 * Float64(t_1 * fma(0.3275911, abs(x), -1.0))) / Float64(t_2 * fma(x, Float64(x * 0.10731592879921), -1.0)))) / Float64(1.0 + t_3)) 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[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 - N[(N[(t$95$3 * N[(t$95$1 * N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(t$95$2 * N[(x * N[(x * 0.10731592879921), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$3), $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 := e^{x \cdot x}\\
t_3 := \frac{t\_1}{t\_0 \cdot t\_2}\\
\frac{1 - \frac{t\_3 \cdot \left(t\_1 \cdot \mathsf{fma}\left(0.3275911, \left|x\right|, -1\right)\right)}{t\_2 \cdot \mathsf{fma}\left(x, x \cdot 0.10731592879921, -1\right)}}{1 + t\_3}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites80.4%
Applied rewrites80.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) -1.0))
(t_1 (fma x (* x 0.10731592879921) -1.0))
(t_2 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(*
t_0
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (fma (/ 1.061405429 t_1) t_0 -1.453152027) t_2))
t_2))
t_2)))
(* (exp (* x x)) t_1)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), -1.0);
double t_1 = fma(x, (x * 0.10731592879921), -1.0);
double t_2 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((t_0 * (0.254829592 + ((-0.284496736 + ((1.421413741 + (fma((1.061405429 / t_1), t_0, -1.453152027) / t_2)) / t_2)) / t_2))) / (exp((x * x)) * t_1));
}
function code(x) t_0 = fma(0.3275911, abs(x), -1.0) t_1 = fma(x, Float64(x * 0.10731592879921), -1.0) t_2 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(t_0 * Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(fma(Float64(1.061405429 / t_1), t_0, -1.453152027) / t_2)) / t_2)) / t_2))) / Float64(exp(Float64(x * x)) * t_1))) end
code[x_] := Block[{t$95$0 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$1 = N[(x * N[(x * 0.10731592879921), $MachinePrecision] + -1.0), $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(t$95$0 * N[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] * t$95$0 + -1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision] / t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * t$95$1), $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(x, x \cdot 0.10731592879921, -1\right)\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{t\_0 \cdot \left(0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{\mathsf{fma}\left(\frac{1.061405429}{t\_1}, t\_0, -1.453152027\right)}{t\_2}}{t\_2}}{t\_2}\right)}{e^{x \cdot x} \cdot t\_1}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
div-invN/A
lift-exp.f64N/A
lift-*.f64N/A
sqr-absN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
exp-negN/A
Applied rewrites80.4%
Applied rewrites80.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-fma.f64N/A
metadata-evalN/A
sub-negN/A
flip--N/A
lift-fma.f64N/A
lift-fabs.f64N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites80.4%
Final simplification80.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(fma
(/ 1.061405429 (fma (* x x) 0.10731592879921 -1.0))
(fma 0.3275911 (fabs x) -1.0)
-1.453152027)
t_0))
t_0))
t_0))
(* t_0 (exp (* x x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((0.254829592 + ((-0.284496736 + ((1.421413741 + (fma((1.061405429 / fma((x * x), 0.10731592879921, -1.0)), fma(0.3275911, fabs(x), -1.0), -1.453152027) / t_0)) / t_0)) / t_0)) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(fma(Float64(1.061405429 / fma(Float64(x * x), 0.10731592879921, -1.0)), fma(0.3275911, abs(x), -1.0), -1.453152027) / t_0)) / t_0)) / t_0)) / Float64(t_0 * exp(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[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + 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]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \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}}{t\_0}}{t\_0}}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites80.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(+
0.254829592
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (fma (/ 1.0 t_0) 1.061405429 -1.453152027) t_0))
t_0))
t_0))
(* t_0 (exp (* x x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((0.254829592 + ((-0.284496736 + ((1.421413741 + (fma((1.0 / t_0), 1.061405429, -1.453152027) / t_0)) / t_0)) / t_0)) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(fma(Float64(1.0 / t_0), 1.061405429, -1.453152027) / t_0)) / t_0)) / t_0)) / Float64(t_0 * exp(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[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(N[(1.0 / t$95$0), $MachinePrecision] * 1.061405429 + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / N[(t$95$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{\mathsf{fma}\left(\frac{1}{t\_0}, 1.061405429, -1.453152027\right)}{t\_0}}{t\_0}}{t\_0}}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-+.f64N/A
+-commutativeN/A
lift-/.f64N/A
clear-numN/A
associate-/r/N/A
lift-fma.f64N/A
lift-*.f64N/A
+-commutativeN/A
lift-+.f64N/A
lift-/.f64N/A
lower-fma.f6480.4
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-fma.f6480.4
Applied rewrites80.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
t_0)
(exp (- (* x x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - (((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / t_0) * exp(-(x * x)));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(0.254829592 + Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / t_0) * 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[(0.254829592 + N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(1.061405429 / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] * 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 - \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}}{t\_0} \cdot e^{-x \cdot x}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
lift-/.f64N/A
lift-*.f64N/A
associate-/r*N/A
div-invN/A
lift-exp.f64N/A
lift-*.f64N/A
sqr-absN/A
lift-fabs.f64N/A
lift-fabs.f64N/A
lift-*.f64N/A
exp-negN/A
Applied rewrites80.4%
Final simplification80.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(/
(+
0.254829592
(/
(+
-0.284496736
(/ (+ 1.421413741 (/ (+ -1.453152027 (/ 1.061405429 t_0)) t_0)) t_0))
t_0))
(* t_0 (exp (* x x)))))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
return 1.0 - ((0.254829592 + ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (1.061405429 / t_0)) / t_0)) / t_0)) / t_0)) / (t_0 * exp((x * x))));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) return Float64(1.0 - 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_0 * exp(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[(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$0 * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
1 - \frac{0.254829592 + \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{1.061405429}{t\_0}}{t\_0}}{t\_0}}{t\_0}}{t\_0 \cdot e^{x \cdot x}}
\end{array}
\end{array}
Initial program 80.4%
Applied rewrites80.4%
(FPCore (x) :precision binary64 1.0)
double code(double x) {
return 1.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0
end function
public static double code(double x) {
return 1.0;
}
def code(x): return 1.0
function code(x) return 1.0 end
function tmp = code(x) tmp = 1.0; end
code[x_] := 1.0
\begin{array}{l}
\\
1
\end{array}
Initial program 80.4%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
clear-numN/A
lower-/.f64N/A
Applied rewrites79.3%
lift-/.f64N/A
lift-/.f64N/A
clear-numN/A
lift-fma.f64N/A
lift-*.f64N/A
flip-+N/A
associate-/r/N/A
Applied rewrites80.4%
Taylor expanded in x around inf
Applied rewrites57.7%
herbie shell --seed 2024225
(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)))))))