
(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 15 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 (pow (exp x) x))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3 (/ (+ (/ 1.061405429 t_2) -1.453152027) t_2))
(t_4 (- t_3 1.421413741))
(t_5
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_1))
t_1))
t_1)
0.254829592))
(t_6
(fma
(/ (fma (/ t_5 t_1) (pow (exp x) (- x)) 1.0) t_1)
(/ t_5 t_0)
1.0))
(t_7 (* t_0 t_1)))
(/
(- (pow t_6 -2.0) (pow (/ (- (pow (/ t_5 t_7) 3.0)) t_6) 2.0))
(+
(/
(pow
(/
(+
(/
(+
(/ (- (/ (pow t_3 2.0) t_4) (/ 2.020417023103615 t_4)) t_1)
-0.284496736)
t_1)
0.254829592)
t_7)
3.0)
t_6)
(pow t_6 -1.0)))))
double code(double x) {
double t_0 = pow(exp(x), x);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = ((1.061405429 / t_2) + -1.453152027) / t_2;
double t_4 = t_3 - 1.421413741;
double t_5 = ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_1)) / t_1)) / t_1) + 0.254829592;
double t_6 = fma((fma((t_5 / t_1), pow(exp(x), -x), 1.0) / t_1), (t_5 / t_0), 1.0);
double t_7 = t_0 * t_1;
return (pow(t_6, -2.0) - pow((-pow((t_5 / t_7), 3.0) / t_6), 2.0)) / ((pow((((((((pow(t_3, 2.0) / t_4) - (2.020417023103615 / t_4)) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_7), 3.0) / t_6) + pow(t_6, -1.0));
}
function code(x) t_0 = exp(x) ^ x t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = fma(0.3275911, abs(x), 1.0) t_3 = Float64(Float64(Float64(1.061405429 / t_2) + -1.453152027) / t_2) t_4 = Float64(t_3 - 1.421413741) t_5 = Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_1)) / t_1)) / t_1) + 0.254829592) t_6 = fma(Float64(fma(Float64(t_5 / t_1), (exp(x) ^ Float64(-x)), 1.0) / t_1), Float64(t_5 / t_0), 1.0) t_7 = Float64(t_0 * t_1) return Float64(Float64((t_6 ^ -2.0) - (Float64(Float64(-(Float64(t_5 / t_7) ^ 3.0)) / t_6) ^ 2.0)) / Float64(Float64((Float64(Float64(Float64(Float64(Float64(Float64(Float64((t_3 ^ 2.0) / t_4) - Float64(2.020417023103615 / t_4)) / t_1) + -0.284496736) / t_1) + 0.254829592) / t_7) ^ 3.0) / t_6) + (t_6 ^ -1.0))) 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[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - 1.421413741), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$5 / t$95$1), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision] / t$95$1), $MachinePrecision] * N[(t$95$5 / t$95$0), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[(t$95$0 * t$95$1), $MachinePrecision]}, N[(N[(N[Power[t$95$6, -2.0], $MachinePrecision] - N[Power[N[((-N[Power[N[(t$95$5 / t$95$7), $MachinePrecision], 3.0], $MachinePrecision]) / t$95$6), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[(N[Power[N[(N[(N[(N[(N[(N[(N[(N[Power[t$95$3, 2.0], $MachinePrecision] / t$95$4), $MachinePrecision] - N[(2.020417023103615 / t$95$4), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$7), $MachinePrecision], 3.0], $MachinePrecision] / t$95$6), $MachinePrecision] + N[Power[t$95$6, -1.0], $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 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \frac{\frac{1.061405429}{t\_2} + -1.453152027}{t\_2}\\
t_4 := t\_3 - 1.421413741\\
t_5 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_1}}{t\_1}}{t\_1} + 0.254829592\\
t_6 := \mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{t\_5}{t\_1}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right)}{t\_1}, \frac{t\_5}{t\_0}, 1\right)\\
t_7 := t\_0 \cdot t\_1\\
\frac{{t\_6}^{-2} - {\left(\frac{-{\left(\frac{t\_5}{t\_7}\right)}^{3}}{t\_6}\right)}^{2}}{\frac{{\left(\frac{\frac{\frac{\frac{{t\_3}^{2}}{t\_4} - \frac{2.020417023103615}{t\_4}}{t\_1} + -0.284496736}{t\_1} + 0.254829592}{t\_7}\right)}^{3}}{t\_6} + {t\_6}^{-1}}
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
Applied rewrites80.3%
Applied rewrites86.4%
Applied rewrites86.4%
Final simplification86.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (exp x) (- x)))
(t_1 (pow (exp x) x))
(t_2 (fma 0.3275911 (fabs x) 1.0))
(t_3 (fma (fabs x) 0.3275911 1.0))
(t_4
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_2) -1.453152027) t_2) 1.421413741)
t_2)
-0.284496736)
t_2)
0.254829592))
(t_5 (/ t_4 (* t_2 t_1)))
(t_6 (fma (fma t_0 (/ t_4 t_2) 1.0) t_5 1.0))
(t_7
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_3))
t_3))
t_3)
0.254829592))
(t_8 (fma (/ (fma (/ t_7 t_3) t_0 1.0) t_3) (/ t_7 t_1) 1.0)))
(/
(- (pow t_6 -2.0) (pow (/ (pow t_5 3.0) t_6) 2.0))
(+ (pow t_8 -1.0) (/ (pow (/ t_7 (* t_1 t_3)) 3.0) t_8)))))
double code(double x) {
double t_0 = pow(exp(x), -x);
double t_1 = pow(exp(x), x);
double t_2 = fma(0.3275911, fabs(x), 1.0);
double t_3 = fma(fabs(x), 0.3275911, 1.0);
double t_4 = (((((((1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592;
double t_5 = t_4 / (t_2 * t_1);
double t_6 = fma(fma(t_0, (t_4 / t_2), 1.0), t_5, 1.0);
double t_7 = ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_3)) / t_3)) / t_3) + 0.254829592;
double t_8 = fma((fma((t_7 / t_3), t_0, 1.0) / t_3), (t_7 / t_1), 1.0);
return (pow(t_6, -2.0) - pow((pow(t_5, 3.0) / t_6), 2.0)) / (pow(t_8, -1.0) + (pow((t_7 / (t_1 * t_3)), 3.0) / t_8));
}
function code(x) t_0 = exp(x) ^ Float64(-x) t_1 = exp(x) ^ x t_2 = fma(0.3275911, abs(x), 1.0) t_3 = fma(abs(x), 0.3275911, 1.0) t_4 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_2) + -1.453152027) / t_2) + 1.421413741) / t_2) + -0.284496736) / t_2) + 0.254829592) t_5 = Float64(t_4 / Float64(t_2 * t_1)) t_6 = fma(fma(t_0, Float64(t_4 / t_2), 1.0), t_5, 1.0) t_7 = Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_3)) / t_3)) / t_3) + 0.254829592) t_8 = fma(Float64(fma(Float64(t_7 / t_3), t_0, 1.0) / t_3), Float64(t_7 / t_1), 1.0) return Float64(Float64((t_6 ^ -2.0) - (Float64((t_5 ^ 3.0) / t_6) ^ 2.0)) / Float64((t_8 ^ -1.0) + Float64((Float64(t_7 / Float64(t_1 * t_3)) ^ 3.0) / t_8))) end
code[x_] := Block[{t$95$0 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$1 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$2 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$3 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$2), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$2), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$2), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$2), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$4 / N[(t$95$2 * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(t$95$0 * N[(t$95$4 / t$95$2), $MachinePrecision] + 1.0), $MachinePrecision] * t$95$5 + 1.0), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision]), $MachinePrecision] / t$95$3), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$8 = N[(N[(N[(N[(t$95$7 / t$95$3), $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision] / t$95$3), $MachinePrecision] * N[(t$95$7 / t$95$1), $MachinePrecision] + 1.0), $MachinePrecision]}, N[(N[(N[Power[t$95$6, -2.0], $MachinePrecision] - N[Power[N[(N[Power[t$95$5, 3.0], $MachinePrecision] / t$95$6), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision] / N[(N[Power[t$95$8, -1.0], $MachinePrecision] + N[(N[Power[N[(t$95$7 / N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision] / t$95$8), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_1 := {\left(e^{x}\right)}^{x}\\
t_2 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_3 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_4 := \frac{\frac{\frac{\frac{1.061405429}{t\_2} + -1.453152027}{t\_2} + 1.421413741}{t\_2} + -0.284496736}{t\_2} + 0.254829592\\
t_5 := \frac{t\_4}{t\_2 \cdot t\_1}\\
t_6 := \mathsf{fma}\left(\mathsf{fma}\left(t\_0, \frac{t\_4}{t\_2}, 1\right), t\_5, 1\right)\\
t_7 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_3}}{t\_3}}{t\_3} + 0.254829592\\
t_8 := \mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{t\_7}{t\_3}, t\_0, 1\right)}{t\_3}, \frac{t\_7}{t\_1}, 1\right)\\
\frac{{t\_6}^{-2} - {\left(\frac{{t\_5}^{3}}{t\_6}\right)}^{2}}{{t\_8}^{-1} + \frac{{\left(\frac{t\_7}{t\_1 \cdot t\_3}\right)}^{3}}{t\_8}}
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
Applied rewrites80.3%
Applied rewrites86.4%
Applied rewrites86.4%
Final simplification86.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0))
(t_1
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_0))
t_0))
t_0)
0.254829592))
(t_2 (pow (exp x) x))
(t_3 (/ t_1 (* t_2 t_0)))
(t_4 (fma (/ t_1 t_0) (pow (exp x) (- x)) 1.0))
(t_5 (* t_3 t_4)))
(fma
(/ 1.0 (+ (pow t_5 3.0) 1.0))
(+ (pow t_5 2.0) (- 1.0 t_5))
(/ (- (pow t_3 3.0)) (fma (/ t_4 t_0) (/ t_1 t_2) 1.0)))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592;
double t_2 = pow(exp(x), x);
double t_3 = t_1 / (t_2 * t_0);
double t_4 = fma((t_1 / t_0), pow(exp(x), -x), 1.0);
double t_5 = t_3 * t_4;
return fma((1.0 / (pow(t_5, 3.0) + 1.0)), (pow(t_5, 2.0) + (1.0 - t_5)), (-pow(t_3, 3.0) / fma((t_4 / t_0), (t_1 / t_2), 1.0)));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592) t_2 = exp(x) ^ x t_3 = Float64(t_1 / Float64(t_2 * t_0)) t_4 = fma(Float64(t_1 / t_0), (exp(x) ^ Float64(-x)), 1.0) t_5 = Float64(t_3 * t_4) return fma(Float64(1.0 / Float64((t_5 ^ 3.0) + 1.0)), Float64((t_5 ^ 2.0) + Float64(1.0 - t_5)), Float64(Float64(-(t_3 ^ 3.0)) / fma(Float64(t_4 / t_0), Float64(t_1 / t_2), 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[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$1 / N[(t$95$2 * t$95$0), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$1 / t$95$0), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 * t$95$4), $MachinePrecision]}, N[(N[(1.0 / N[(N[Power[t$95$5, 3.0], $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[t$95$5, 2.0], $MachinePrecision] + N[(1.0 - t$95$5), $MachinePrecision]), $MachinePrecision] + N[((-N[Power[t$95$3, 3.0], $MachinePrecision]) / N[(N[(t$95$4 / t$95$0), $MachinePrecision] * N[(t$95$1 / t$95$2), $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{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_0}}{t\_0}}{t\_0} + 0.254829592\\
t_2 := {\left(e^{x}\right)}^{x}\\
t_3 := \frac{t\_1}{t\_2 \cdot t\_0}\\
t_4 := \mathsf{fma}\left(\frac{t\_1}{t\_0}, {\left(e^{x}\right)}^{\left(-x\right)}, 1\right)\\
t_5 := t\_3 \cdot t\_4\\
\mathsf{fma}\left(\frac{1}{{t\_5}^{3} + 1}, {t\_5}^{2} + \left(1 - t\_5\right), \frac{-{t\_3}^{3}}{\mathsf{fma}\left(\frac{t\_4}{t\_0}, \frac{t\_1}{t\_2}, 1\right)}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
Applied rewrites80.3%
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
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592))
(t_3 (/ t_2 (* t_0 t_1)))
(t_4 (fma (fma (/ (pow (exp x) (- x)) t_0) t_2 1.0) t_3 1.0))
(t_5 (fma (fabs x) 0.3275911 1.0))
(t_6
(/
(-
(-
(+
(/ 1.421413741 (pow t_5 2.0))
(+ (/ 1.061405429 (pow t_5 4.0)) 0.254829592))
(/ 1.453152027 (pow t_5 3.0)))
(/ 0.284496736 t_5))
t_5)))
(fma
t_4
(pow t_4 -2.0)
(*
(- (/ 1.0 (fma (/ (fma (exp (* (- x) x)) t_6 1.0) t_1) t_6 1.0)))
(pow t_3 3.0)))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = pow(exp(x), x);
double t_2 = (((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592;
double t_3 = t_2 / (t_0 * t_1);
double t_4 = fma(fma((pow(exp(x), -x) / t_0), t_2, 1.0), t_3, 1.0);
double t_5 = fma(fabs(x), 0.3275911, 1.0);
double t_6 = ((((1.421413741 / pow(t_5, 2.0)) + ((1.061405429 / pow(t_5, 4.0)) + 0.254829592)) - (1.453152027 / pow(t_5, 3.0))) - (0.284496736 / t_5)) / t_5;
return fma(t_4, pow(t_4, -2.0), (-(1.0 / fma((fma(exp((-x * x)), t_6, 1.0) / t_1), t_6, 1.0)) * pow(t_3, 3.0)));
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = exp(x) ^ x t_2 = 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_3 = Float64(t_2 / Float64(t_0 * t_1)) t_4 = fma(fma(Float64((exp(x) ^ Float64(-x)) / t_0), t_2, 1.0), t_3, 1.0) t_5 = fma(abs(x), 0.3275911, 1.0) t_6 = Float64(Float64(Float64(Float64(Float64(1.421413741 / (t_5 ^ 2.0)) + Float64(Float64(1.061405429 / (t_5 ^ 4.0)) + 0.254829592)) - Float64(1.453152027 / (t_5 ^ 3.0))) - Float64(0.284496736 / t_5)) / t_5) return fma(t_4, (t_4 ^ -2.0), Float64(Float64(-Float64(1.0 / fma(Float64(fma(exp(Float64(Float64(-x) * x)), t_6, 1.0) / t_1), t_6, 1.0))) * (t_3 ^ 3.0))) 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[(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$3 = N[(t$95$2 / N[(t$95$0 * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] / t$95$0), $MachinePrecision] * t$95$2 + 1.0), $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(N[(1.421413741 / N[Power[t$95$5, 2.0], $MachinePrecision]), $MachinePrecision] + N[(N[(1.061405429 / N[Power[t$95$5, 4.0], $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision]), $MachinePrecision] - N[(1.453152027 / N[Power[t$95$5, 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(0.284496736 / t$95$5), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision]}, N[(t$95$4 * N[Power[t$95$4, -2.0], $MachinePrecision] + N[((-N[(1.0 / N[(N[(N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * t$95$6 + 1.0), $MachinePrecision] / t$95$1), $MachinePrecision] * t$95$6 + 1.0), $MachinePrecision]), $MachinePrecision]) * N[Power[t$95$3, 3.0], $MachinePrecision]), $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{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_3 := \frac{t\_2}{t\_0 \cdot t\_1}\\
t_4 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{{\left(e^{x}\right)}^{\left(-x\right)}}{t\_0}, t\_2, 1\right), t\_3, 1\right)\\
t_5 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_6 := \frac{\left(\left(\frac{1.421413741}{{t\_5}^{2}} + \left(\frac{1.061405429}{{t\_5}^{4}} + 0.254829592\right)\right) - \frac{1.453152027}{{t\_5}^{3}}\right) - \frac{0.284496736}{t\_5}}{t\_5}\\
\mathsf{fma}\left(t\_4, {t\_4}^{-2}, \left(-\frac{1}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(e^{\left(-x\right) \cdot x}, t\_6, 1\right)}{t\_1}, t\_6, 1\right)}\right) \cdot {t\_3}^{3}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
Applied rewrites80.3%
Taylor expanded in x around inf
Applied rewrites80.3%
Final simplification80.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (pow (exp x) (- x)))
(t_1 (fma 0.3275911 (fabs x) 1.0))
(t_2 (pow (exp x) x))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592))
(t_4 (fma (fma (/ t_0 t_1) t_3 1.0) (/ t_3 (* t_1 t_2)) 1.0))
(t_5 (fma (fabs x) 0.3275911 1.0))
(t_6
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_5))
t_5))
t_5)
0.254829592)))
(fma
t_4
(pow t_4 -2.0)
(/
(- (pow (/ t_6 (* t_2 t_5)) 3.0))
(fma (/ (fma (/ t_6 t_5) t_0 1.0) t_5) (/ t_6 t_2) 1.0)))))
double code(double x) {
double t_0 = pow(exp(x), -x);
double t_1 = fma(0.3275911, fabs(x), 1.0);
double t_2 = pow(exp(x), x);
double t_3 = (((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
double t_4 = fma(fma((t_0 / t_1), t_3, 1.0), (t_3 / (t_1 * t_2)), 1.0);
double t_5 = fma(fabs(x), 0.3275911, 1.0);
double t_6 = ((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_5)) / t_5)) / t_5) + 0.254829592;
return fma(t_4, pow(t_4, -2.0), (-pow((t_6 / (t_2 * t_5)), 3.0) / fma((fma((t_6 / t_5), t_0, 1.0) / t_5), (t_6 / t_2), 1.0)));
}
function code(x) t_0 = exp(x) ^ Float64(-x) t_1 = fma(0.3275911, abs(x), 1.0) t_2 = exp(x) ^ x t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) t_4 = fma(fma(Float64(t_0 / t_1), t_3, 1.0), Float64(t_3 / Float64(t_1 * t_2)), 1.0) t_5 = fma(abs(x), 0.3275911, 1.0) t_6 = Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_5)) / t_5)) / t_5) + 0.254829592) return fma(t_4, (t_4 ^ -2.0), Float64(Float64(-(Float64(t_6 / Float64(t_2 * t_5)) ^ 3.0)) / fma(Float64(fma(Float64(t_6 / t_5), t_0, 1.0) / t_5), Float64(t_6 / t_2), 1.0))) end
code[x_] := Block[{t$95$0 = N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$0 / t$95$1), $MachinePrecision] * t$95$3 + 1.0), $MachinePrecision] * N[(t$95$3 / N[(t$95$1 * t$95$2), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, Block[{t$95$5 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision]), $MachinePrecision] / t$95$5), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(t$95$4 * N[Power[t$95$4, -2.0], $MachinePrecision] + N[((-N[Power[N[(t$95$6 / N[(t$95$2 * t$95$5), $MachinePrecision]), $MachinePrecision], 3.0], $MachinePrecision]) / N[(N[(N[(N[(t$95$6 / t$95$5), $MachinePrecision] * t$95$0 + 1.0), $MachinePrecision] / t$95$5), $MachinePrecision] * N[(t$95$6 / t$95$2), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(e^{x}\right)}^{\left(-x\right)}\\
t_1 := \mathsf{fma}\left(0.3275911, \left|x\right|, 1\right)\\
t_2 := {\left(e^{x}\right)}^{x}\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
t_4 := \mathsf{fma}\left(\mathsf{fma}\left(\frac{t\_0}{t\_1}, t\_3, 1\right), \frac{t\_3}{t\_1 \cdot t\_2}, 1\right)\\
t_5 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_6 := \frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_5}}{t\_5}}{t\_5} + 0.254829592\\
\mathsf{fma}\left(t\_4, {t\_4}^{-2}, \frac{-{\left(\frac{t\_6}{t\_2 \cdot t\_5}\right)}^{3}}{\mathsf{fma}\left(\frac{\mathsf{fma}\left(\frac{t\_6}{t\_5}, t\_0, 1\right)}{t\_5}, \frac{t\_6}{t\_2}, 1\right)}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites79.6%
Applied rewrites80.3%
Applied rewrites80.3%
Final simplification80.3%
(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 (* (pow (exp x) x) t_0)))
(/
(-
1.0
(/
1.0
(/
(pow t_2 3.0)
(pow
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_0))
t_0))
t_0)
0.254829592)
3.0))))
(fma (/ t_1 t_2) (fma (pow (exp x) (- x)) (/ t_1 t_0) 1.0) 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 = pow(exp(x), x) * t_0;
return (1.0 - (1.0 / (pow(t_2, 3.0) / pow((((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592), 3.0)))) / fma((t_1 / t_2), fma(pow(exp(x), -x), (t_1 / t_0), 1.0), 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((exp(x) ^ x) * t_0) return Float64(Float64(1.0 - Float64(1.0 / Float64((t_2 ^ 3.0) / (Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592) ^ 3.0)))) / fma(Float64(t_1 / t_2), fma((exp(x) ^ Float64(-x)), Float64(t_1 / t_0), 1.0), 1.0)) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(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[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(1.0 - N[(1.0 / N[(N[Power[t$95$2, 3.0], $MachinePrecision] / N[Power[N[(N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(t$95$1 / t$95$2), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], (-x)], $MachinePrecision] * N[(t$95$1 / t$95$0), $MachinePrecision] + 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 := \frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592\\
t_2 := {\left(e^{x}\right)}^{x} \cdot t\_0\\
\frac{1 - \frac{1}{\frac{{t\_2}^{3}}{{\left(\frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_0}}{t\_0}}{t\_0} + 0.254829592\right)}^{3}}}}{\mathsf{fma}\left(\frac{t\_1}{t\_2}, \mathsf{fma}\left({\left(e^{x}\right)}^{\left(-x\right)}, \frac{t\_1}{t\_0}, 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 (fma 0.3275911 (fabs x) 1.0))
(t_1 (fma (fabs x) 0.3275911 1.0))
(t_2 (pow (exp x) x))
(t_3
(+
(/
(+
(/
(+ (/ (+ (/ 1.061405429 t_1) -1.453152027) t_1) 1.421413741)
t_1)
-0.284496736)
t_1)
0.254829592)))
(/
(-
1.0
(/
1.0
(pow
(/
(+
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
-0.284496736)
t_0)
0.254829592)
(* t_0 t_2))
-3.0)))
(fma (/ t_3 (* t_2 t_1)) (fma (pow (exp x) (- x)) (/ t_3 t_1) 1.0) 1.0))))
double code(double x) {
double t_0 = fma(0.3275911, fabs(x), 1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double t_2 = pow(exp(x), x);
double t_3 = (((((((1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592;
return (1.0 - (1.0 / pow((((((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (t_0 * t_2)), -3.0))) / fma((t_3 / (t_2 * t_1)), fma(pow(exp(x), -x), (t_3 / t_1), 1.0), 1.0);
}
function code(x) t_0 = fma(0.3275911, abs(x), 1.0) t_1 = fma(abs(x), 0.3275911, 1.0) t_2 = exp(x) ^ x t_3 = Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_1) + -1.453152027) / t_1) + 1.421413741) / t_1) + -0.284496736) / t_1) + 0.254829592) return Float64(Float64(1.0 - Float64(1.0 / (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) / Float64(t_0 * t_2)) ^ -3.0))) / fma(Float64(t_3 / Float64(t_2 * t_1)), fma((exp(x) ^ Float64(-x)), Float64(t_3 / t_1), 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[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]}, Block[{t$95$3 = N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$1), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$1), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$1), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision]}, N[(N[(1.0 - N[(1.0 / N[Power[N[(N[(N[(N[(N[(N[(N[(N[(N[(1.061405429 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(t$95$0 * t$95$2), $MachinePrecision]), $MachinePrecision], -3.0], $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$1), $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_2 := {\left(e^{x}\right)}^{x}\\
t_3 := \frac{\frac{\frac{\frac{1.061405429}{t\_1} + -1.453152027}{t\_1} + 1.421413741}{t\_1} + -0.284496736}{t\_1} + 0.254829592\\
\frac{1 - \frac{1}{{\left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{t\_0 \cdot t\_2}\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\_1}, 1\right), 1\right)}
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.8%
Applied rewrites80.0%
Applied rewrites80.0%
Final simplification80.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)) (t_1 (* 0.3275911 (fabs x))))
(-
1.0
(*
(exp (* (- (fabs x)) (fabs x)))
(*
(+
(fma
(/
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) t_0) 1.421413741) t_0)
(- 1.0 (* (* x x) 0.10731592879921)))
(/ 1.0 (pow (- 1.0 t_1) -1.0))
(/ -0.284496736 t_0))
0.254829592)
(/ 1.0 (+ t_1 1.0)))))))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
double t_1 = 0.3275911 * fabs(x);
return 1.0 - (exp((-fabs(x) * fabs(x))) * ((fma(((((((1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) / (1.0 - ((x * x) * 0.10731592879921))), (1.0 / pow((1.0 - t_1), -1.0)), (-0.284496736 / t_0)) + 0.254829592) * (1.0 / (t_1 + 1.0))));
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) t_1 = Float64(0.3275911 * abs(x)) return Float64(1.0 - Float64(exp(Float64(Float64(-abs(x)) * abs(x))) * Float64(Float64(fma(Float64(Float64(Float64(Float64(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))), Float64(1.0 / (Float64(1.0 - t_1) ^ -1.0)), Float64(-0.284496736 / t_0)) + 0.254829592) * Float64(1.0 / Float64(t_1 + 1.0))))) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, Block[{t$95$1 = N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(1.0 - N[(N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * 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] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Power[N[(1.0 - t$95$1), $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision] + N[(-0.284496736 / t$95$0), $MachinePrecision]), $MachinePrecision] + 0.254829592), $MachinePrecision] * N[(1.0 / N[(t$95$1 + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
t_1 := 0.3275911 \cdot \left|x\right|\\
1 - e^{\left(-\left|x\right|\right) \cdot \left|x\right|} \cdot \left(\left(\mathsf{fma}\left(\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0}}{1 - \left(x \cdot x\right) \cdot 0.10731592879921}, \frac{1}{{\left(1 - t\_1\right)}^{-1}}, \frac{-0.284496736}{t\_0}\right) + 0.254829592\right) \cdot \frac{1}{t\_1 + 1}\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.9%
Final simplification78.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(-
1.0
(*
(*
(/
(+
(/
(+
(/
(+
(/
(fma
-1.061405429
(/ 1.0 (fma -0.3275911 (fabs x) -1.0))
-1.453152027)
t_0)
1.421413741)
t_0)
-0.284496736)
t_0)
0.254829592)
(- 1.0 (* (* x x) 0.10731592879921)))
(- 1.0 (* 0.3275911 (fabs x))))
(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, (1.0 / fma(-0.3275911, fabs(x), -1.0)), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / (1.0 - ((x * x) * 0.10731592879921))) * (1.0 - (0.3275911 * fabs(x)))) * 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(-1.061405429, Float64(1.0 / fma(-0.3275911, abs(x), -1.0)), -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))) * Float64(1.0 - Float64(0.3275911 * abs(x)))) * 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[(1.0 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(0.3275911 * N[Abs[x], $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \left(\frac{\frac{\frac{\frac{\mathsf{fma}\left(-1.061405429, \frac{1}{\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}{1 - \left(x \cdot x\right) \cdot 0.10731592879921} \cdot \left(1 - 0.3275911 \cdot \left|x\right|\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
frac-2negN/A
metadata-evalN/A
div-invN/A
lower-fma.f64N/A
lower-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
distribute-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-eval78.9
Applied rewrites78.9%
Final simplification78.9%
(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)
(- 1.0 (* (* x x) 0.10731592879921)))
(- 1.0 (* 0.3275911 (fabs x))))
(exp (* (- (fabs x)) (fabs 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) / (1.0 - ((x * x) * 0.10731592879921))) * (1.0 - (0.3275911 * fabs(x)))) * 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(Float64(Float64(1.061405429 / t_0) + -1.453152027) / t_0) + 1.421413741) / t_0) + -0.284496736) / t_0) + 0.254829592) / Float64(1.0 - Float64(Float64(x * x) * 0.10731592879921))) * Float64(1.0 - Float64(0.3275911 * abs(x)))) * 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 / t$95$0), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * 0.10731592879921), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(0.3275911 * N[Abs[x], $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 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
1 - \left(\frac{\frac{\frac{\frac{\frac{1.061405429}{t\_0} + -1.453152027}{t\_0} + 1.421413741}{t\_0} + -0.284496736}{t\_0} + 0.254829592}{1 - \left(x \cdot x\right) \cdot 0.10731592879921} \cdot \left(1 - 0.3275911 \cdot \left|x\right|\right)\right) \cdot e^{\left(-\left|x\right|\right) \cdot \left|x\right|}
\end{array}
\end{array}
Initial program 78.8%
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
(/ 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, (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(-1.061405429, Float64(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[(-1.061405429 * N[(1.0 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-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(-1.061405429, \frac{1}{\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
frac-2negN/A
metadata-evalN/A
div-invN/A
lower-fma.f64N/A
lower-/.f64N/A
lift-fma.f64N/A
lift-*.f64N/A
distribute-neg-inN/A
lift-*.f64N/A
*-commutativeN/A
distribute-lft-neg-inN/A
metadata-evalN/A
lower-fma.f64N/A
metadata-eval78.8
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))
(/
(+
(/
(+
(/ (+ (/ (+ (/ 1.061405429 t_0) -1.453152027) 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)) * (((((((((1.061405429 / t_0) + -1.453152027) / 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(Float64(1.061405429 / t_0) + -1.453152027) / 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[(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]), $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{\frac{1.061405429}{t\_0} + -1.453152027}{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%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.3275911 (fabs x) 1.0)))
(-
1.0
(*
(/
(+
(/
(+
(/
(+
(/ (fma (fma (fabs x) -0.3275911 1.0) 1.061405429 -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(0.3275911, fabs(x), 1.0);
return 1.0 - ((((((((fma(fma(fabs(x), -0.3275911, 1.0), 1.061405429, -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(0.3275911, abs(x), 1.0) return Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(fma(fma(abs(x), -0.3275911, 1.0), 1.061405429, -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[(0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]}, N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(N[(N[(N[Abs[x], $MachinePrecision] * -0.3275911 + 1.0), $MachinePrecision] * 1.061405429 + -1.453152027), $MachinePrecision] / t$95$0), $MachinePrecision] + 1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$0), $MachinePrecision] * N[Exp[N[((-N[Abs[x], $MachinePrecision]) * N[Abs[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{\frac{\frac{\frac{\mathsf{fma}\left(\mathsf{fma}\left(\left|x\right|, -0.3275911, 1\right), 1.061405429, -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
lift-/.f64N/A
associate-*l/N/A
metadata-evalN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites78.8%
Taylor expanded in x around 0
lower-/.f64N/A
Applied rewrites78.6%
Applied rewrites78.6%
Final simplification78.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma -0.3275911 (fabs x) -1.0))
(t_1 (fma (fabs x) 0.3275911 1.0)))
(if (<= (fabs x) 0.1)
(fma
(/
(+
(/
(+
-0.284496736
(/
(+ 1.421413741 (/ (+ -1.453152027 (/ -1.061405429 t_0)) t_1))
t_1))
t_1)
0.254829592)
1.0)
(fma
(-
(fma (fma (* 0.5 (fabs x)) 0.3275911 -0.5) (* x x) 1.0)
(* 0.3275911 (fabs x)))
(* x x)
(- (fma -0.3275911 (fabs x) 1.0)))
1.0)
(-
1.0
(*
(/
(+
(/ (+ (/ (+ (/ 1.453152027 t_1) -1.421413741) t_0) -0.284496736) t_1)
0.254829592)
t_1)
(exp (* (- x) x)))))))
double code(double x) {
double t_0 = fma(-0.3275911, fabs(x), -1.0);
double t_1 = fma(fabs(x), 0.3275911, 1.0);
double tmp;
if (fabs(x) <= 0.1) {
tmp = fma(((((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / t_0)) / t_1)) / t_1)) / t_1) + 0.254829592) / 1.0), fma((fma(fma((0.5 * fabs(x)), 0.3275911, -0.5), (x * x), 1.0) - (0.3275911 * fabs(x))), (x * x), -fma(-0.3275911, fabs(x), 1.0)), 1.0);
} else {
tmp = 1.0 - ((((((((1.453152027 / t_1) + -1.421413741) / t_0) + -0.284496736) / t_1) + 0.254829592) / t_1) * exp((-x * x)));
}
return tmp;
}
function code(x) t_0 = fma(-0.3275911, abs(x), -1.0) t_1 = fma(abs(x), 0.3275911, 1.0) tmp = 0.0 if (abs(x) <= 0.1) tmp = fma(Float64(Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / t_0)) / t_1)) / t_1)) / t_1) + 0.254829592) / 1.0), fma(Float64(fma(fma(Float64(0.5 * abs(x)), 0.3275911, -0.5), Float64(x * x), 1.0) - Float64(0.3275911 * abs(x))), Float64(x * x), Float64(-fma(-0.3275911, abs(x), 1.0))), 1.0); else tmp = Float64(1.0 - Float64(Float64(Float64(Float64(Float64(Float64(Float64(Float64(1.453152027 / t_1) + -1.421413741) / t_0) + -0.284496736) / t_1) + 0.254829592) / t_1) * exp(Float64(Float64(-x) * x)))); end return tmp 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]}, If[LessEqual[N[Abs[x], $MachinePrecision], 0.1], 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$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / 1.0), $MachinePrecision] * N[(N[(N[(N[(N[(0.5 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * 0.3275911 + -0.5), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] - N[(0.3275911 * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(x * x), $MachinePrecision] + (-N[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision])), $MachinePrecision] + 1.0), $MachinePrecision], N[(1.0 - N[(N[(N[(N[(N[(N[(N[(N[(1.453152027 / t$95$1), $MachinePrecision] + -1.421413741), $MachinePrecision] / t$95$0), $MachinePrecision] + -0.284496736), $MachinePrecision] / t$95$1), $MachinePrecision] + 0.254829592), $MachinePrecision] / t$95$1), $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)\\
t_1 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathbf{if}\;\left|x\right| \leq 0.1:\\
\;\;\;\;\mathsf{fma}\left(\frac{\frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{t\_0}}{t\_1}}{t\_1}}{t\_1} + 0.254829592}{1}, \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.5 \cdot \left|x\right|, 0.3275911, -0.5\right), x \cdot x, 1\right) - 0.3275911 \cdot \left|x\right|, x \cdot x, -\mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right)\right), 1\right)\\
\mathbf{else}:\\
\;\;\;\;1 - \frac{\frac{\frac{\frac{1.453152027}{t\_1} + -1.421413741}{t\_0} + -0.284496736}{t\_1} + 0.254829592}{t\_1} \cdot e^{\left(-x\right) \cdot x}\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.10000000000000001Initial program 58.0%
Applied rewrites58.0%
Taylor expanded in x around 0
Applied rewrites57.5%
Applied rewrites57.5%
Taylor expanded in x around 0
Applied rewrites57.5%
if 0.10000000000000001 < (fabs.f64 x) Initial program 100.0%
lift-+.f64N/A
+-commutativeN/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
metadata-evalN/A
lift-+.f64N/A
flip-+N/A
associate-/r/N/A
lower-fma.f64N/A
Applied rewrites100.0%
Taylor expanded in x around inf
lower-/.f64N/A
lower--.f64N/A
associate-*r/N/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fabs.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-fabs.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lower-*.f64100.0
Applied rewrites100.0%
Final simplification78.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma (fabs x) 0.3275911 1.0)))
(fma
(/
(+
(/
(+
-0.284496736
(/
(+
1.421413741
(/
(+ -1.453152027 (/ -1.061405429 (fma -0.3275911 (fabs x) -1.0)))
t_0))
t_0))
t_0)
0.254829592)
1.0)
(- (fma -0.3275911 (fabs x) 1.0))
1.0)))
double code(double x) {
double t_0 = fma(fabs(x), 0.3275911, 1.0);
return fma(((((-0.284496736 + ((1.421413741 + ((-1.453152027 + (-1.061405429 / fma(-0.3275911, fabs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592) / 1.0), -fma(-0.3275911, fabs(x), 1.0), 1.0);
}
function code(x) t_0 = fma(abs(x), 0.3275911, 1.0) return fma(Float64(Float64(Float64(Float64(-0.284496736 + Float64(Float64(1.421413741 + Float64(Float64(-1.453152027 + Float64(-1.061405429 / fma(-0.3275911, abs(x), -1.0))) / t_0)) / t_0)) / t_0) + 0.254829592) / 1.0), Float64(-fma(-0.3275911, abs(x), 1.0)), 1.0) end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * 0.3275911 + 1.0), $MachinePrecision]}, N[(N[(N[(N[(N[(-0.284496736 + N[(N[(1.421413741 + N[(N[(-1.453152027 + N[(-1.061405429 / N[(-0.3275911 * N[Abs[x], $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision]), $MachinePrecision] / t$95$0), $MachinePrecision] + 0.254829592), $MachinePrecision] / 1.0), $MachinePrecision] * (-N[(-0.3275911 * N[Abs[x], $MachinePrecision] + 1.0), $MachinePrecision]) + 1.0), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(\left|x\right|, 0.3275911, 1\right)\\
\mathsf{fma}\left(\frac{\frac{-0.284496736 + \frac{1.421413741 + \frac{-1.453152027 + \frac{-1.061405429}{\mathsf{fma}\left(-0.3275911, \left|x\right|, -1\right)}}{t\_0}}{t\_0}}{t\_0} + 0.254829592}{1}, -\mathsf{fma}\left(-0.3275911, \left|x\right|, 1\right), 1\right)
\end{array}
\end{array}
Initial program 78.8%
Applied rewrites78.8%
Taylor expanded in x around 0
Applied rewrites78.6%
Applied rewrites78.6%
Taylor expanded in x around 0
mul-1-negN/A
metadata-evalN/A
cancel-sign-sub-invN/A
lower-neg.f64N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-commutativeN/A
lower-fma.f64N/A
lower-fabs.f6431.6
Applied rewrites31.6%
Final simplification31.6%
herbie shell --seed 2024327
(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)))))))