
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 24 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(/ (pow (pow (exp x) 2.0) (* x 0.5)) (/ 1.0 (sqrt (/ 1.0 PI))))
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0))))))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (pow(pow(exp(x), 2.0), (x * 0.5)) / (1.0 / sqrt((1.0 / ((double) M_PI))))) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0)))));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (Math.pow(Math.pow(Math.exp(x), 2.0), (x * 0.5)) / (1.0 / Math.sqrt((1.0 / Math.PI)))) * (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0)))));
}
def code(x): t_0 = x * (x * (x * (x * x))) return (math.pow(math.pow(math.exp(x), 2.0), (x * 0.5)) / (1.0 / math.sqrt((1.0 / math.pi)))) * (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0)))))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(((exp(x) ^ 2.0) ^ Float64(x * 0.5)) / Float64(1.0 / sqrt(Float64(1.0 / pi)))) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0)))))) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = (((exp(x) ^ 2.0) ^ (x * 0.5)) / (1.0 / sqrt((1.0 / pi)))) * (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[N[Power[N[Exp[x], $MachinePrecision], 2.0], $MachinePrecision], N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\frac{{\left({\left(e^{x}\right)}^{2}\right)}^{\left(x \cdot 0.5\right)}}{\frac{1}{\sqrt{\frac{1}{\pi}}}} \cdot \left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right)
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
pow-expN/A
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64100.0
Applied egg-rr100.0%
/-rgt-identityN/A
clear-numN/A
metadata-evalN/A
sqrt-divN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64100.0
Applied egg-rr100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(/ (pow (exp (fma x 2.0 (+ x x))) (* x 0.25)) (sqrt PI)))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (pow(exp(fma(x, 2.0, (x + x))), (x * 0.25)) / sqrt(((double) M_PI)));
}
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * Float64((exp(fma(x, 2.0, Float64(x + x))) ^ Float64(x * 0.25)) / sqrt(pi))) end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[N[(x * 2.0 + N[(x + x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision], N[(x * 0.25), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot \frac{{\left(e^{\mathsf{fma}\left(x, 2, x + x\right)}\right)}^{\left(x \cdot 0.25\right)}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
pow-expN/A
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64100.0
Applied egg-rr100.0%
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(/ (pow (exp (+ x x)) (* x 0.5)) (sqrt PI)))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (pow(exp((x + x)), (x * 0.5)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (Math.pow(Math.exp((x + x)), (x * 0.5)) / Math.sqrt(Math.PI));
}
def code(x): t_0 = x * (x * (x * (x * x))) return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (math.pow(math.exp((x + x)), (x * 0.5)) / math.sqrt(math.pi))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * Float64((exp(Float64(x + x)) ^ Float64(x * 0.5)) / sqrt(pi))) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * ((exp((x + x)) ^ (x * 0.5)) / sqrt(pi)); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[N[(x + x), $MachinePrecision]], $MachinePrecision], N[(x * 0.5), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot \frac{{\left(e^{x + x}\right)}^{\left(x \cdot 0.5\right)}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
pow-expN/A
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64100.0
Applied egg-rr100.0%
pow-expN/A
rem-log-expN/A
pow-expN/A
exp-lowering-exp.f64N/A
unpow2N/A
log-prodN/A
rem-log-expN/A
rem-log-expN/A
+-lowering-+.f64100.0
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(*
(* (/ 1.0 (sqrt PI)) (pow (exp x) x))
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+
(/ 0.75 (* x (* x (* x (fma x x 0.0)))))
(/ 1.875 (* (fabs x) (* (* x x) (* (* x x) (* x x)))))))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / (x * (x * (x * fma(x, x, 0.0))))) + (1.875 / (fabs(x) * ((x * x) * ((x * x) * (x * x)))))));
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / Float64(x * Float64(x * Float64(x * fma(x, x, 0.0))))) + Float64(1.875 / Float64(abs(x) * Float64(Float64(x * x) * Float64(Float64(x * x) * Float64(x * x)))))))) end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[(x * N[(x * N[(x * N[(x * x + 0.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.875 / N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{x \cdot \left(x \cdot \left(x \cdot \mathsf{fma}\left(x, x, 0\right)\right)\right)} + \frac{1.875}{\left|x\right| \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\right)}\right)\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
sqr-absN/A
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0
Applied egg-rr100.0%
associate-*r*N/A
sqr-absN/A
cube-unmultN/A
sqr-powN/A
unpow-prod-downN/A
sqr-absN/A
unpow-prod-downN/A
sqr-powN/A
cube-unmultN/A
*-commutativeN/A
associate-*r*N/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqr-absN/A
+-lft-identityN/A
+-commutativeN/A
distribute-rgt-outN/A
sqr-absN/A
mul0-lftN/A
accelerator-lowering-fma.f64100.0
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(/ (pow (exp x) x) (sqrt PI)))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (pow(exp(x), x) / sqrt(((double) M_PI)));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI));
}
def code(x): t_0 = x * (x * (x * (x * x))) return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (math.pow(math.exp(x), x) / math.sqrt(math.pi))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * Float64((exp(x) ^ x) / sqrt(pi))) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * ((exp(x) ^ x) / sqrt(pi)); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot \frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
pow-expN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(exp (fma (- 0.0 (log PI)) 0.5 (* x x))))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * exp(fma((0.0 - log(((double) M_PI))), 0.5, (x * x)));
}
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * exp(fma(Float64(0.0 - log(pi)), 0.5, Float64(x * x)))) end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(0.0 - N[Log[Pi], $MachinePrecision]), $MachinePrecision] * 0.5 + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot e^{\mathsf{fma}\left(0 - \log \pi, 0.5, x \cdot x\right)}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
pow-expN/A
sqr-powN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
pow2N/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64N/A
div-invN/A
metadata-evalN/A
*-lowering-*.f64100.0
Applied egg-rr100.0%
clear-numN/A
associate-/r/N/A
metadata-evalN/A
sqrt-divN/A
pow1/2N/A
pow-to-expN/A
pow-powN/A
*-commutativeN/A
associate-*r*N/A
metadata-evalN/A
pow-powN/A
unpow1N/A
exp-prodN/A
prod-expN/A
exp-lowering-exp.f64N/A
neg-logN/A
accelerator-lowering-fma.f64N/A
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(/ (exp (* x x)) (/ 1.0 (sqrt (/ 1.0 PI)))))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (exp((x * x)) / (1.0 / sqrt((1.0 / ((double) M_PI)))));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (Math.exp((x * x)) / (1.0 / Math.sqrt((1.0 / Math.PI))));
}
def code(x): t_0 = x * (x * (x * (x * x))) return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (math.exp((x * x)) / (1.0 / math.sqrt((1.0 / math.pi))))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * Float64(exp(Float64(x * x)) / Float64(1.0 / sqrt(Float64(1.0 / pi))))) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (exp((x * x)) / (1.0 / sqrt((1.0 / pi)))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(1.0 / N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot \frac{e^{x \cdot x}}{\frac{1}{\sqrt{\frac{1}{\pi}}}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
/-rgt-identityN/A
clear-numN/A
/-lowering-/.f64N/A
metadata-evalN/A
sqrt-divN/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f6499.9
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) (* x x))))
(*
(/ (exp (* x x)) (sqrt PI))
(+
(+ (/ 1.875 (* (fabs x) (* (* x x) t_0))) (/ 1.0 (fabs x)))
(+ (/ 0.5 (fabs (* x (* x x)))) (/ 0.75 (* (fabs x) t_0)))))))
double code(double x) {
double t_0 = (x * x) * (x * x);
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.875 / (fabs(x) * ((x * x) * t_0))) + (1.0 / fabs(x))) + ((0.5 / fabs((x * (x * x)))) + (0.75 / (fabs(x) * t_0))));
}
public static double code(double x) {
double t_0 = (x * x) * (x * x);
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.875 / (Math.abs(x) * ((x * x) * t_0))) + (1.0 / Math.abs(x))) + ((0.5 / Math.abs((x * (x * x)))) + (0.75 / (Math.abs(x) * t_0))));
}
def code(x): t_0 = (x * x) * (x * x) return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.875 / (math.fabs(x) * ((x * x) * t_0))) + (1.0 / math.fabs(x))) + ((0.5 / math.fabs((x * (x * x)))) + (0.75 / (math.fabs(x) * t_0))))
function code(x) t_0 = Float64(Float64(x * x) * Float64(x * x)) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(1.875 / Float64(abs(x) * Float64(Float64(x * x) * t_0))) + Float64(1.0 / abs(x))) + Float64(Float64(0.5 / abs(Float64(x * Float64(x * x)))) + Float64(0.75 / Float64(abs(x) * t_0))))) end
function tmp = code(x) t_0 = (x * x) * (x * x); tmp = (exp((x * x)) / sqrt(pi)) * (((1.875 / (abs(x) * ((x * x) * t_0))) + (1.0 / abs(x))) + ((0.5 / abs((x * (x * x)))) + (0.75 / (abs(x) * t_0)))); end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.875 / N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(0.5 / N[Abs[N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(N[Abs[x], $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(x \cdot x\right)\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\left(\frac{1.875}{\left|x\right| \cdot \left(\left(x \cdot x\right) \cdot t\_0\right)} + \frac{1}{\left|x\right|}\right) + \left(\frac{0.5}{\left|x \cdot \left(x \cdot x\right)\right|} + \frac{0.75}{\left|x\right| \cdot t\_0}\right)\right)
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
associate-*l/N/A
/-lowering-/.f64N/A
*-lft-identityN/A
sqr-absN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6499.9
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(/
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(exp (* x x)))
(sqrt PI))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return ((((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * exp((x * x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return ((((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * Math.exp((x * x))) / Math.sqrt(Math.PI);
}
def code(x): t_0 = x * (x * (x * (x * x))) return ((((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * math.exp((x * x))) / math.sqrt(math.pi)
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * exp(Float64(x * x))) / sqrt(pi)) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = ((((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * exp((x * x))) / sqrt(pi); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\frac{\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x (* x x))))))
(*
(+
(/ (+ 1.0 (/ 0.5 (* x x))) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* x (* x t_0)))))
(/ (exp (* x x)) (sqrt PI)))))
double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
double t_0 = x * (x * (x * (x * x)));
return (((1.0 + (0.5 / (x * x))) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): t_0 = x * (x * (x * (x * x))) return (((1.0 + (0.5 / (x * x))) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(x * x)))) return Float64(Float64(Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(x * Float64(x * t_0))))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) t_0 = x * (x * (x * (x * x))); tmp = (((1.0 + (0.5 / (x * x))) / abs(x)) + ((0.75 / t_0) + (1.875 / (x * (x * t_0))))) * (exp((x * x)) / sqrt(pi)); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\\
\left(\frac{1 + \frac{0.5}{x \cdot x}}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{x \cdot \left(x \cdot t\_0\right)}\right)\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.9%
Final simplification99.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (* (* x x) t_0))))
(+
t_0
(+
(/ 0.5 (fabs (* x (* x x))))
(/ 0.75 (* (fabs x) (* (* x x) (* x x)))))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * ((x * x) * t_0)))) * (t_0 + ((0.5 / fabs((x * (x * x)))) + (0.75 / (fabs(x) * ((x * x) * (x * x))))));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * ((x * x) * t_0)))) * (t_0 + ((0.5 / Math.abs((x * (x * x)))) + (0.75 / (Math.abs(x) * ((x * x) * (x * x))))));
}
def code(x): t_0 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * ((x * x) * t_0)))) * (t_0 + ((0.5 / math.fabs((x * (x * x)))) + (0.75 / (math.fabs(x) * ((x * x) * (x * x))))))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * Float64(Float64(x * x) * t_0)))) * Float64(t_0 + Float64(Float64(0.5 / abs(Float64(x * Float64(x * x)))) + Float64(0.75 / Float64(abs(x) * Float64(Float64(x * x) * Float64(x * x))))))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * ((x * x) * t_0)))) * (t_0 + ((0.5 / abs((x * (x * x)))) + (0.75 / (abs(x) * ((x * x) * (x * x)))))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(t$95$0 + N[(N[(0.5 / N[Abs[N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left(\left(x \cdot x\right) \cdot t\_0\right)}\right) \cdot \left(t\_0 + \left(\frac{0.5}{\left|x \cdot \left(x \cdot x\right)\right|} + \frac{0.75}{\left|x\right| \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)}\right)\right)
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
fabs-lowering-fabs.f6499.1
Simplified99.1%
unpow1N/A
metadata-evalN/A
pow-prod-upN/A
pow2N/A
sqr-absN/A
inv-powN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
fabs-lowering-fabs.f6499.1
Applied egg-rr99.1%
Final simplification99.1%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))))
(/
(*
(exp (* x x))
(+ (/ 1.0 (fabs x)) (+ (/ 0.75 (* x (* x t_0))) (/ 0.5 t_0))))
(sqrt PI))))
double code(double x) {
double t_0 = x * (x * x);
return (exp((x * x)) * ((1.0 / fabs(x)) + ((0.75 / (x * (x * t_0))) + (0.5 / t_0)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
double t_0 = x * (x * x);
return (Math.exp((x * x)) * ((1.0 / Math.abs(x)) + ((0.75 / (x * (x * t_0))) + (0.5 / t_0)))) / Math.sqrt(Math.PI);
}
def code(x): t_0 = x * (x * x) return (math.exp((x * x)) * ((1.0 / math.fabs(x)) + ((0.75 / (x * (x * t_0))) + (0.5 / t_0)))) / math.sqrt(math.pi)
function code(x) t_0 = Float64(x * Float64(x * x)) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(1.0 / abs(x)) + Float64(Float64(0.75 / Float64(x * Float64(x * t_0))) + Float64(0.5 / t_0)))) / sqrt(pi)) end
function tmp = code(x) t_0 = x * (x * x); tmp = (exp((x * x)) * ((1.0 / abs(x)) + ((0.75 / (x * (x * t_0))) + (0.5 / t_0)))) / sqrt(pi); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[(x * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.5 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
\frac{e^{x \cdot x} \cdot \left(\frac{1}{\left|x\right|} + \left(\frac{0.75}{x \cdot \left(x \cdot t\_0\right)} + \frac{0.5}{t\_0}\right)\right)}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
fabs-lowering-fabs.f6499.1
Simplified99.1%
Applied egg-rr99.1%
Final simplification99.1%
(FPCore (x) :precision binary64 (* (exp (* x x)) (* (+ 1.0 (/ 0.5 (* x x))) (/ (sqrt (/ 1.0 PI)) (fabs x)))))
double code(double x) {
return exp((x * x)) * ((1.0 + (0.5 / (x * x))) * (sqrt((1.0 / ((double) M_PI))) / fabs(x)));
}
public static double code(double x) {
return Math.exp((x * x)) * ((1.0 + (0.5 / (x * x))) * (Math.sqrt((1.0 / Math.PI)) / Math.abs(x)));
}
def code(x): return math.exp((x * x)) * ((1.0 + (0.5 / (x * x))) * (math.sqrt((1.0 / math.pi)) / math.fabs(x)))
function code(x) return Float64(exp(Float64(x * x)) * Float64(Float64(1.0 + Float64(0.5 / Float64(x * x))) * Float64(sqrt(Float64(1.0 / pi)) / abs(x)))) end
function tmp = code(x) tmp = exp((x * x)) * ((1.0 + (0.5 / (x * x))) * (sqrt((1.0 / pi)) / abs(x))); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot x} \cdot \left(\left(1 + \frac{0.5}{x \cdot x}\right) \cdot \frac{\sqrt{\frac{1}{\pi}}}{\left|x\right|}\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
fabs-lowering-fabs.f6499.1
Simplified99.1%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-inN/A
*-commutativeN/A
*-lft-identityN/A
Simplified99.0%
Final simplification99.0%
(FPCore (x) :precision binary64 (/ 1.0 (/ (fabs x) (/ (exp (fma x x 0.0)) (sqrt PI)))))
double code(double x) {
return 1.0 / (fabs(x) / (exp(fma(x, x, 0.0)) / sqrt(((double) M_PI))));
}
function code(x) return Float64(1.0 / Float64(abs(x) / Float64(exp(fma(x, x, 0.0)) / sqrt(pi)))) end
code[x_] := N[(1.0 / N[(N[Abs[x], $MachinePrecision] / N[(N[Exp[N[(x * x + 0.0), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\left|x\right|}{\frac{e^{\mathsf{fma}\left(x, x, 0\right)}}{\sqrt{\pi}}}}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
sqrt-divN/A
metadata-evalN/A
associate-*r/N/A
*-commutativeN/A
div-invN/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
fabs-lowering-fabs.f64N/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
sqr-absN/A
+-lft-identityN/A
+-commutativeN/A
distribute-rgt-outN/A
sqr-absN/A
mul0-lftN/A
accelerator-lowering-fma.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6498.8
Applied egg-rr98.8%
(FPCore (x) :precision binary64 (/ (exp (fma x x 0.0)) (* (fabs x) (sqrt PI))))
double code(double x) {
return exp(fma(x, x, 0.0)) / (fabs(x) * sqrt(((double) M_PI)));
}
function code(x) return Float64(exp(fma(x, x, 0.0)) / Float64(abs(x) * sqrt(pi))) end
code[x_] := N[(N[Exp[N[(x * x + 0.0), $MachinePrecision]], $MachinePrecision] / N[(N[Abs[x], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{\mathsf{fma}\left(x, x, 0\right)}}{\left|x\right| \cdot \sqrt{\pi}}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
sqrt-divN/A
metadata-evalN/A
frac-timesN/A
*-lft-identityN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
sqr-absN/A
+-lft-identityN/A
+-commutativeN/A
distribute-rgt-outN/A
sqr-absN/A
mul0-lftN/A
accelerator-lowering-fma.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
fabs-lowering-fabs.f6498.8
Applied egg-rr98.8%
Final simplification98.8%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ (fma (* x x) (fma (* x x) (fma x (* x 0.16666666666666666) 0.5) 1.0) 1.0) (fabs x))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fma((x * x), fma((x * x), fma(x, (x * 0.16666666666666666), 0.5), 1.0), 1.0) / fabs(x));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(fma(Float64(x * x), fma(Float64(x * x), fma(x, Float64(x * 0.16666666666666666), 0.5), 1.0), 1.0) / abs(x))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * 0.16666666666666666), $MachinePrecision] + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{\mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x, x \cdot 0.16666666666666666, 0.5\right), 1\right), 1\right)}{\left|x\right|}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
*-commutativeN/A
*-lowering-*.f6485.9
Simplified85.9%
(FPCore (x) :precision binary64 (/ (+ (fabs x) (fma (fma (* x x) 0.16666666666666666 0.5) (* x (* x x)) (/ 1.0 (fabs x)))) (sqrt PI)))
double code(double x) {
return (fabs(x) + fma(fma((x * x), 0.16666666666666666, 0.5), (x * (x * x)), (1.0 / fabs(x)))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(abs(x) + fma(fma(Float64(x * x), 0.16666666666666666, 0.5), Float64(x * Float64(x * x)), Float64(1.0 / abs(x)))) / sqrt(pi)) end
code[x_] := N[(N[(N[Abs[x], $MachinePrecision] + N[(N[(N[(x * x), $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision] * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left|x\right| + \mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right), x \cdot \left(x \cdot x\right), \frac{1}{\left|x\right|}\right)}{\sqrt{\pi}}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r/N/A
*-rgt-identityN/A
+-commutativeN/A
Simplified83.4%
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
Applied egg-rr83.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (+ (fabs x) (* (* x x) (* (fabs x) (fma (* x x) 0.16666666666666666 0.5))))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fabs(x) + ((x * x) * (fabs(x) * fma((x * x), 0.16666666666666666, 0.5))));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(abs(x) + Float64(Float64(x * x) * Float64(abs(x) * fma(Float64(x * x), 0.16666666666666666, 0.5))))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] + N[(N[(x * x), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\left|x\right| + \left(x \cdot x\right) \cdot \left(\left|x\right| \cdot \mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right)\right)\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r/N/A
*-rgt-identityN/A
+-commutativeN/A
Simplified83.4%
Taylor expanded in x around inf
+-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*r/N/A
unpow2N/A
sqr-absN/A
times-fracN/A
metadata-evalN/A
associate-*r/N/A
*-inversesN/A
*-rgt-identityN/A
*-rgt-identityN/A
*-inversesN/A
associate-/l*N/A
sqr-absN/A
unpow2N/A
+-commutativeN/A
Simplified83.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* (* x x) (* (fabs x) (fma (* x x) 0.16666666666666666 0.5)))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((x * x) * (fabs(x) * fma((x * x), 0.16666666666666666, 0.5)));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(x * x) * Float64(abs(x) * fma(Float64(x * x), 0.16666666666666666, 0.5)))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\left(x \cdot x\right) \cdot \left(\left|x\right| \cdot \mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right)\right)\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r/N/A
*-rgt-identityN/A
+-commutativeN/A
Simplified83.4%
Taylor expanded in x around inf
+-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*r/N/A
unpow2N/A
sqr-absN/A
times-fracN/A
metadata-evalN/A
associate-*r/N/A
*-inversesN/A
*-rgt-identityN/A
*-rgt-identityN/A
*-inversesN/A
associate-/l*N/A
sqr-absN/A
unpow2N/A
+-commutativeN/A
Simplified83.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* (fabs x) (* x (* x (* (* x x) 0.16666666666666666))))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fabs(x) * (x * (x * ((x * x) * 0.16666666666666666))));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (Math.abs(x) * (x * (x * ((x * x) * 0.16666666666666666))));
}
def code(x): return math.sqrt((1.0 / math.pi)) * (math.fabs(x) * (x * (x * ((x * x) * 0.16666666666666666))))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(abs(x) * Float64(x * Float64(x * Float64(Float64(x * x) * 0.16666666666666666))))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (abs(x) * (x * (x * ((x * x) * 0.16666666666666666)))); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\left|x\right| \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\right)\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
associate-*r/N/A
*-rgt-identityN/A
+-commutativeN/A
Simplified83.4%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
metadata-evalN/A
pow-sqrN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6483.4
Simplified83.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (/ (fma x x 1.0) (fabs x))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fma(x, x, 1.0) / fabs(x));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(fma(x, x, 1.0) / abs(x))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \frac{\mathsf{fma}\left(x, x, 1\right)}{\left|x\right|}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
+-commutativeN/A
unpow2N/A
accelerator-lowering-fma.f6453.5
Simplified53.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (+ (fabs x) (/ 1.0 (fabs x)))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fabs(x) + (1.0 / fabs(x)));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (Math.abs(x) + (1.0 / Math.abs(x)));
}
def code(x): return math.sqrt((1.0 / math.pi)) * (math.fabs(x) + (1.0 / math.fabs(x)))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(abs(x) + Float64(1.0 / abs(x)))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (abs(x) + (1.0 / abs(x))); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\left|x\right| + \frac{1}{\left|x\right|}\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
*-commutativeN/A
distribute-lft-outN/A
+-commutativeN/A
*-lft-identityN/A
associate-*l/N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
associate-*l/N/A
*-lft-identityN/A
Simplified5.7%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* (fabs x) 0.125)))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (fabs(x) * 0.125);
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (Math.abs(x) * 0.125);
}
def code(x): return math.sqrt((1.0 / math.pi)) * (math.fabs(x) * 0.125)
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(abs(x) * 0.125)) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (abs(x) * 0.125); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * 0.125), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\left|x\right| \cdot 0.125\right)
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around 0
Simplified13.5%
Taylor expanded in x around 0
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
accelerator-lowering-fma.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-commutativeN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
accelerator-lowering-fma.f64N/A
*-commutativeN/A
*-lowering-*.f641.8
Simplified1.8%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
*-commutativeN/A
unpow2N/A
sqr-absN/A
associate-/l*N/A
*-inversesN/A
*-rgt-identityN/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f645.6
Simplified5.6%
(FPCore (x) :precision binary64 (/ 1.0 (* (fabs x) (sqrt PI))))
double code(double x) {
return 1.0 / (fabs(x) * sqrt(((double) M_PI)));
}
public static double code(double x) {
return 1.0 / (Math.abs(x) * Math.sqrt(Math.PI));
}
def code(x): return 1.0 / (math.fabs(x) * math.sqrt(math.pi))
function code(x) return Float64(1.0 / Float64(abs(x) * sqrt(pi))) end
function tmp = code(x) tmp = 1.0 / (abs(x) * sqrt(pi)); end
code[x_] := N[(1.0 / N[(N[Abs[x], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\left|x\right| \cdot \sqrt{\pi}}
\end{array}
Initial program 99.9%
Applied egg-rr99.9%
Taylor expanded in x around inf
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
/-lowering-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6498.8
Simplified98.8%
Taylor expanded in x around 0
associate-*r/N/A
*-rgt-identityN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
/-lowering-/.f64N/A
PI-lowering-PI.f64N/A
fabs-lowering-fabs.f642.3
Simplified2.3%
div-invN/A
sqrt-divN/A
metadata-evalN/A
frac-timesN/A
metadata-evalN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
fabs-lowering-fabs.f642.3
Applied egg-rr2.3%
Final simplification2.3%
herbie shell --seed 2024197
(FPCore (x)
:name "Jmat.Real.erfi, branch x greater than or equal to 5"
:precision binary64
:pre (>= x 0.5)
(* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (+ (+ (+ (/ 1.0 (fabs x)) (* (/ 1.0 2.0) (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 3.0 4.0) (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))))) (* (/ 15.0 8.0) (* (* (* (* (* (* (/ 1.0 (fabs x)) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x))) (/ 1.0 (fabs x)))))))