
(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 15 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 (/ (* (/ (pow (exp x) x) (fabs x)) (+ 1.0 (/ (+ 0.5 (/ (/ (+ 0.75 (/ 1.875 (* x x))) x) x)) (* x x)))) (pow (* PI PI) 0.25)))
double code(double x) {
return ((pow(exp(x), x) / fabs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / pow((((double) M_PI) * ((double) M_PI)), 0.25);
}
public static double code(double x) {
return ((Math.pow(Math.exp(x), x) / Math.abs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / Math.pow((Math.PI * Math.PI), 0.25);
}
def code(x): return ((math.pow(math.exp(x), x) / math.fabs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / math.pow((math.pi * math.pi), 0.25)
function code(x) return Float64(Float64(Float64((exp(x) ^ x) / abs(x)) * Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / x) / x)) / Float64(x * x)))) / (Float64(pi * pi) ^ 0.25)) end
function tmp = code(x) tmp = (((exp(x) ^ x) / abs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / ((pi * pi) ^ 0.25); end
code[x_] := N[(N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Power[N[(Pi * Pi), $MachinePrecision], 0.25], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{{\left(e^{x}\right)}^{x}}{\left|x\right|} \cdot \left(1 + \frac{0.5 + \frac{\frac{0.75 + \frac{1.875}{x \cdot x}}{x}}{x}}{x \cdot x}\right)}{{\left(\pi \cdot \pi\right)}^{0.25}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lft-identityN/A
*-lft-identityN/A
associate-/l/N/A
associate-/r*N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0%
Applied egg-rr100.0%
pow1/2N/A
add-sqr-sqrtN/A
sqrt-unprodN/A
pow1/2N/A
pow-powN/A
pow-lowering-pow.f64N/A
*-lowering-*.f64N/A
PI-lowering-PI.f64N/A
PI-lowering-PI.f64N/A
metadata-eval100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (/ (* (/ (pow (exp x) x) (fabs x)) (+ 1.0 (/ (+ 0.5 (/ (/ (+ 0.75 (/ 1.875 (* x x))) x) x)) (* x x)))) (sqrt PI)))
double code(double x) {
return ((pow(exp(x), x) / fabs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((Math.pow(Math.exp(x), x) / Math.abs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / Math.sqrt(Math.PI);
}
def code(x): return ((math.pow(math.exp(x), x) / math.fabs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64((exp(x) ^ x) / abs(x)) * Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / x) / x)) / Float64(x * x)))) / sqrt(pi)) end
function tmp = code(x) tmp = (((exp(x) ^ x) / abs(x)) * (1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x)))) / sqrt(pi); end
code[x_] := N[(N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{{\left(e^{x}\right)}^{x}}{\left|x\right|} \cdot \left(1 + \frac{0.5 + \frac{\frac{0.75 + \frac{1.875}{x \cdot x}}{x}}{x}}{x \cdot x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lft-identityN/A
*-lft-identityN/A
associate-/l/N/A
associate-/r*N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
exp-prodN/A
pow-lowering-pow.f64N/A
exp-lowering-exp.f64100.0%
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (/ (* (+ 1.0 (/ (+ 0.5 (/ (/ (+ 0.75 (/ 1.875 (* x x))) x) x)) (* x x))) (/ (exp (* x x)) (fabs x))) (sqrt PI)))
double code(double x) {
return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * (exp((x * x)) / fabs(x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * (Math.exp((x * x)) / Math.abs(x))) / Math.sqrt(Math.PI);
}
def code(x): return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * (math.exp((x * x)) / math.fabs(x))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / x) / x)) / Float64(x * x))) * Float64(exp(Float64(x * x)) / abs(x))) / sqrt(pi)) end
function tmp = code(x) tmp = ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * (exp((x * x)) / abs(x))) / sqrt(pi); end
code[x_] := N[(N[(N[(1.0 + N[(N[(0.5 + N[(N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(1 + \frac{0.5 + \frac{\frac{0.75 + \frac{1.875}{x \cdot x}}{x}}{x}}{x \cdot x}\right) \cdot \frac{e^{x \cdot x}}{\left|x\right|}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lft-identityN/A
*-lft-identityN/A
associate-/l/N/A
associate-/r*N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (sqrt PI)) (fabs x)) (+ 1.0 (/ (+ 0.5 (/ 0.75 (* x x))) (* x x)))))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) / fabs(x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / Math.abs(x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)));
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) / math.fabs(x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x)))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / abs(x)) * Float64(1.0 + Float64(Float64(0.5 + Float64(0.75 / Float64(x * x))) / Float64(x * x)))) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) / abs(x)) * (1.0 + ((0.5 + (0.75 / (x * x))) / (x * x))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(0.5 + N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{\left|x\right|} \cdot \left(1 + \frac{0.5 + \frac{0.75}{x \cdot x}}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.8%
Simplified99.8%
(FPCore (x) :precision binary64 (/ (* (/ (exp (* x x)) (fabs x)) (+ 1.0 (/ 0.5 (* x x)))) (sqrt PI)))
double code(double x) {
return ((exp((x * x)) / fabs(x)) * (1.0 + (0.5 / (x * x)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.abs(x)) * (1.0 + (0.5 / (x * x)))) / Math.sqrt(Math.PI);
}
def code(x): return ((math.exp((x * x)) / math.fabs(x)) * (1.0 + (0.5 / (x * x)))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / abs(x)) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) / sqrt(pi)) end
function tmp = code(x) tmp = ((exp((x * x)) / abs(x)) * (1.0 + (0.5 / (x * x)))) / sqrt(pi); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\left|x\right|} \cdot \left(1 + \frac{0.5}{x \cdot x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lft-identityN/A
*-lft-identityN/A
associate-/l/N/A
associate-/r*N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6499.8%
Simplified99.8%
(FPCore (x) :precision binary64 (* (/ (/ (exp (* x x)) (sqrt PI)) (fabs x)) (+ 1.0 (/ 0.5 (* x x)))))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) / fabs(x)) * (1.0 + (0.5 / (x * x)));
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) / Math.abs(x)) * (1.0 + (0.5 / (x * x)));
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) / math.fabs(x)) * (1.0 + (0.5 / (x * x)))
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / abs(x)) * Float64(1.0 + Float64(0.5 / Float64(x * x)))) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) / abs(x)) * (1.0 + (0.5 / (x * x))); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{\left|x\right|} \cdot \left(1 + \frac{0.5}{x \cdot x}\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6499.8%
Simplified99.8%
(FPCore (x) :precision binary64 (/ (/ (exp (* x x)) (sqrt PI)) (fabs x)))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) / fabs(x);
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) / Math.abs(x);
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) / math.fabs(x)
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / abs(x)) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) / abs(x); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{\left|x\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
fabs-lowering-fabs.f6499.7%
Applied egg-rr99.7%
(FPCore (x)
:precision binary64
(/
(*
(+ 1.0 (/ (+ 0.5 (/ (/ (+ 0.75 (/ 1.875 (* x x))) x) x)) (* x x)))
(/
(+
1.0
(* x (* x (+ 1.0 (* (* x x) (+ 0.5 (* (* x x) 0.16666666666666666)))))))
(fabs x)))
(sqrt PI)))
double code(double x) {
return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * ((1.0 + (x * (x * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / fabs(x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * ((1.0 + (x * (x * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / Math.abs(x))) / Math.sqrt(Math.PI);
}
def code(x): return ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * ((1.0 + (x * (x * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / math.fabs(x))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64(1.0 + Float64(Float64(0.5 + Float64(Float64(Float64(0.75 + Float64(1.875 / Float64(x * x))) / x) / x)) / Float64(x * x))) * Float64(Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666))))))) / abs(x))) / sqrt(pi)) end
function tmp = code(x) tmp = ((1.0 + ((0.5 + (((0.75 + (1.875 / (x * x))) / x) / x)) / (x * x))) * ((1.0 + (x * (x * (1.0 + ((x * x) * (0.5 + ((x * x) * 0.16666666666666666))))))) / abs(x))) / sqrt(pi); end
code[x_] := N[(N[(N[(1.0 + N[(N[(0.5 + N[(N[(N[(0.75 + N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 + N[(x * N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(1 + \frac{0.5 + \frac{\frac{0.75 + \frac{1.875}{x \cdot x}}{x}}{x}}{x \cdot x}\right) \cdot \frac{1 + x \cdot \left(x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\right)}{\left|x\right|}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
*-lft-identityN/A
*-lft-identityN/A
associate-/l/N/A
associate-/r*N/A
associate-*l/N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6485.5%
Simplified85.5%
Final simplification85.5%
(FPCore (x)
:precision binary64
(/
(/
(+
1.0
(* (* x x) (+ 1.0 (* x (* x (+ 0.5 (* (* x x) 0.16666666666666666)))))))
(sqrt PI))
(fabs x)))
double code(double x) {
return ((1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / sqrt(((double) M_PI))) / fabs(x);
}
public static double code(double x) {
return ((1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / Math.sqrt(Math.PI)) / Math.abs(x);
}
def code(x): return ((1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / math.sqrt(math.pi)) / math.fabs(x)
function code(x) return Float64(Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(x * Float64(x * Float64(0.5 + Float64(Float64(x * x) * 0.16666666666666666))))))) / sqrt(pi)) / abs(x)) end
function tmp = code(x) tmp = ((1.0 + ((x * x) * (1.0 + (x * (x * (0.5 + ((x * x) * 0.16666666666666666))))))) / sqrt(pi)) / abs(x); end
code[x_] := N[(N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(x * N[(x * N[(0.5 + N[(N[(x * x), $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1 + \left(x \cdot x\right) \cdot \left(1 + x \cdot \left(x \cdot \left(0.5 + \left(x \cdot x\right) \cdot 0.16666666666666666\right)\right)\right)}{\sqrt{\pi}}}{\left|x\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
associate-*r/N/A
/-lowering-/.f64N/A
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
/-lowering-/.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
fabs-lowering-fabs.f6499.7%
Applied egg-rr99.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6485.5%
Simplified85.5%
(FPCore (x) :precision binary64 (/ (+ 1.0 (* (* x x) (+ 1.0 (* 0.5 (* x x))))) (fabs (* x (sqrt PI)))))
double code(double x) {
return (1.0 + ((x * x) * (1.0 + (0.5 * (x * x))))) / fabs((x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + ((x * x) * (1.0 + (0.5 * (x * x))))) / Math.abs((x * Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + ((x * x) * (1.0 + (0.5 * (x * x))))) / math.fabs((x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(x * x) * Float64(1.0 + Float64(0.5 * Float64(x * x))))) / abs(Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + ((x * x) * (1.0 + (0.5 * (x * x))))) / abs((x * sqrt(pi))); end
code[x_] := N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(1.0 + N[(0.5 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 + \left(x \cdot x\right) \cdot \left(1 + 0.5 \cdot \left(x \cdot x\right)\right)}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6476.5%
Simplified76.5%
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
frac-timesN/A
*-rgt-identityN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
Applied egg-rr76.5%
(FPCore (x) :precision binary64 (* (/ (sqrt (/ 1.0 PI)) (fabs x)) (+ (* x x) 1.5)))
double code(double x) {
return (sqrt((1.0 / ((double) M_PI))) / fabs(x)) * ((x * x) + 1.5);
}
public static double code(double x) {
return (Math.sqrt((1.0 / Math.PI)) / Math.abs(x)) * ((x * x) + 1.5);
}
def code(x): return (math.sqrt((1.0 / math.pi)) / math.fabs(x)) * ((x * x) + 1.5)
function code(x) return Float64(Float64(sqrt(Float64(1.0 / pi)) / abs(x)) * Float64(Float64(x * x) + 1.5)) end
function tmp = code(x) tmp = (sqrt((1.0 / pi)) / abs(x)) * ((x * x) + 1.5); end
code[x_] := N[(N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] + 1.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\sqrt{\frac{1}{\pi}}}{\left|x\right|} \cdot \left(x \cdot x + 1.5\right)
\end{array}
Initial program 100.0%
Simplified100.0%
Taylor expanded in x around 0
associate-*l/N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
distribute-rgt1-inN/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
distribute-rgt1-inN/A
/-lowering-/.f64N/A
Simplified52.7%
Taylor expanded in x around inf
+-commutativeN/A
distribute-lft-inN/A
*-commutativeN/A
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
associate-/r*N/A
associate-*r/N/A
rgt-mult-inverseN/A
Simplified52.7%
(FPCore (x) :precision binary64 (/ (+ 1.0 (* x x)) (fabs (* x (sqrt PI)))))
double code(double x) {
return (1.0 + (x * x)) / fabs((x * sqrt(((double) M_PI))));
}
public static double code(double x) {
return (1.0 + (x * x)) / Math.abs((x * Math.sqrt(Math.PI)));
}
def code(x): return (1.0 + (x * x)) / math.fabs((x * math.sqrt(math.pi)))
function code(x) return Float64(Float64(1.0 + Float64(x * x)) / abs(Float64(x * sqrt(pi)))) end
function tmp = code(x) tmp = (1.0 + (x * x)) / abs((x * sqrt(pi))); end
code[x_] := N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Abs[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1 + x \cdot x}{\left|x \cdot \sqrt{\pi}\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6452.7%
Simplified52.7%
sqrt-divN/A
metadata-evalN/A
frac-timesN/A
*-commutativeN/A
*-lft-identityN/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
add-sqr-sqrtN/A
rem-sqrt-squareN/A
mul-fabsN/A
fabs-lowering-fabs.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6452.7%
Applied egg-rr52.7%
(FPCore (x) :precision binary64 (/ 1.0 (/ (* (fabs x) (sqrt PI)) (* x x))))
double code(double x) {
return 1.0 / ((fabs(x) * sqrt(((double) M_PI))) / (x * x));
}
public static double code(double x) {
return 1.0 / ((Math.abs(x) * Math.sqrt(Math.PI)) / (x * x));
}
def code(x): return 1.0 / ((math.fabs(x) * math.sqrt(math.pi)) / (x * x))
function code(x) return Float64(1.0 / Float64(Float64(abs(x) * sqrt(pi)) / Float64(x * x))) end
function tmp = code(x) tmp = 1.0 / ((abs(x) * sqrt(pi)) / (x * x)); end
code[x_] := N[(1.0 / N[(N[(N[Abs[x], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{\left|x\right| \cdot \sqrt{\pi}}{x \cdot x}}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6452.7%
Simplified52.7%
*-commutativeN/A
clear-numN/A
sqrt-divN/A
metadata-evalN/A
frac-timesN/A
metadata-evalN/A
/-lowering-/.f64N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
fabs-lowering-fabs.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f6452.7%
Applied egg-rr52.7%
Taylor expanded in x around inf
associate-*l/N/A
*-commutativeN/A
/-lowering-/.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f64N/A
sqrt-lowering-sqrt.f64N/A
PI-lowering-PI.f64N/A
unpow2N/A
*-lowering-*.f6452.7%
Simplified52.7%
(FPCore (x) :precision binary64 (* (fabs x) (sqrt (/ 1.0 PI))))
double code(double x) {
return fabs(x) * sqrt((1.0 / ((double) M_PI)));
}
public static double code(double x) {
return Math.abs(x) * Math.sqrt((1.0 / Math.PI));
}
def code(x): return math.fabs(x) * math.sqrt((1.0 / math.pi))
function code(x) return Float64(abs(x) * sqrt(Float64(1.0 / pi))) end
function tmp = code(x) tmp = abs(x) * sqrt((1.0 / pi)); end
code[x_] := N[(N[Abs[x], $MachinePrecision] * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left|x\right| \cdot \sqrt{\frac{1}{\pi}}
\end{array}
Initial program 100.0%
Simplified100.0%
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
exp-lowering-exp.f64N/A
unpow2N/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f6499.7%
Simplified99.7%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6452.7%
Simplified52.7%
Taylor expanded in x around inf
unpow2N/A
fabs-sqrN/A
unpow2N/A
*-rgt-identityN/A
*-inversesN/A
associate-/l*N/A
unpow2N/A
unpow3N/A
*-rgt-identityN/A
associate-/l*N/A
fabs-divN/A
associate-*r/N/A
associate-/r*N/A
unpow2N/A
*-commutativeN/A
unpow3N/A
unpow2N/A
associate-*r*N/A
lft-mult-inverseN/A
*-lft-identityN/A
fabs-lowering-fabs.f645.4%
Simplified5.4%
Final simplification5.4%
(FPCore (x) :precision binary64 (/ (pow PI -0.5) (fabs x)))
double code(double x) {
return pow(((double) M_PI), -0.5) / fabs(x);
}
public static double code(double x) {
return Math.pow(Math.PI, -0.5) / Math.abs(x);
}
def code(x): return math.pow(math.pi, -0.5) / math.fabs(x)
function code(x) return Float64((pi ^ -0.5) / abs(x)) end
function tmp = code(x) tmp = (pi ^ -0.5) / abs(x); end
code[x_] := N[(N[Power[Pi, -0.5], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\pi}^{-0.5}}{\left|x\right|}
\end{array}
Initial program 100.0%
Simplified100.0%
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.f642.2%
Simplified2.2%
Taylor expanded in x around inf
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.f642.2%
Simplified2.2%
/-lowering-/.f64N/A
pow1/2N/A
inv-powN/A
pow-powN/A
pow-lowering-pow.f64N/A
PI-lowering-PI.f64N/A
metadata-evalN/A
fabs-lowering-fabs.f642.2%
Applied egg-rr2.2%
herbie shell --seed 2024164
(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)))))))