
(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}
Herbie found 11 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
(*
(* (/ 1.0 (sqrt PI)) (pow (exp x) x))
(+
(+
(/ (+ (/ (/ 0.5 x) x) 1.0) x)
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (- (* x x)))) (/ 1.0 (fabs x)))))
(* (pow x -7.0) 1.875))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * ((((((0.5 / x) / x) + 1.0) / x) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * (1.0 / fabs(x))))) + (pow(x, -7.0) * 1.875));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(x), x)) * ((((((0.5 / x) / x) + 1.0) / x) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * (1.0 / Math.abs(x))))) + (Math.pow(x, -7.0) * 1.875));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(x), x)) * ((((((0.5 / x) / x) + 1.0) / x) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * (1.0 / math.fabs(x))))) + (math.pow(x, -7.0) * 1.875))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * Float64(Float64(Float64(Float64(Float64(Float64(0.5 / x) / x) + 1.0) / x) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(Float64(x * x) * Float64(-Float64(x * x)))) * Float64(1.0 / abs(x))))) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * (exp(x) ^ x)) * ((((((0.5 / x) / x) + 1.0) / x) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * (1.0 / abs(x))))) + ((x ^ -7.0) * 1.875)); 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[(N[(N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(-1.0 / N[(N[(x * x), $MachinePrecision] * (-N[(x * x), $MachinePrecision])), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \left(\left(\frac{\frac{\frac{0.5}{x}}{x} + 1}{x} + \frac{3}{4} \cdot \left(\frac{-1}{\left(x \cdot x\right) \cdot \left(-x \cdot x\right)} \cdot \frac{1}{\left|x\right|}\right)\right) + {x}^{-7} \cdot 1.875\right)
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
associate-*r/N/A
*-commutativeN/A
lower-*.f64N/A
pow-flipN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+
(+ t_0 (/ (/ 0.5 (* x x)) (fabs x)))
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (- (* x x)))) t_0)))
(* (pow x -7.0) 1.875)))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * t_0))) + (pow(x, -7.0) * 1.875));
}
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) * Math.abs(x)))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * t_0))) + (Math.pow(x, -7.0) * 1.875));
}
def code(x): t_0 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * t_0))) + (math.pow(x, -7.0) * 1.875))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(0.5 / Float64(x * x)) / abs(x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(Float64(x * x) * Float64(-Float64(x * x)))) * t_0))) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * t_0))) + ((x ^ -7.0) * 1.875)); 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[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(-1.0 / N[(N[(x * x), $MachinePrecision] * (-N[(x * x), $MachinePrecision])), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -7.0], $MachinePrecision] * 1.875), $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|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{\frac{0.5}{x \cdot x}}{\left|x\right|}\right) + \frac{3}{4} \cdot \left(\frac{-1}{\left(x \cdot x\right) \cdot \left(-x \cdot x\right)} \cdot t\_0\right)\right) + {x}^{-7} \cdot 1.875\right)
\end{array}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
associate-*r/N/A
*-commutativeN/A
lower-*.f64N/A
pow-flipN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (sqrt PI))) (t_1 (/ 1.0 (fabs x))))
(if (<= x 1.16e+77)
(*
(* t_0 (exp (* (fabs x) (fabs x))))
(/ (fma (/ (* x x) x) 0.5 (/ 0.75 x)) (pow x 4.0)))
(*
(* t_0 (fma (fma (* x x) 0.5 1.0) (* x x) 1.0))
(+
(+
(/ (+ (/ (/ 0.5 x) x) 1.0) x)
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (- (* x x)))) t_1)))
(*
(/ 15.0 8.0)
(* (* (* (* (* (* t_1 t_1) t_1) t_1) t_1) t_1) t_1)))))))
double code(double x) {
double t_0 = 1.0 / sqrt(((double) M_PI));
double t_1 = 1.0 / fabs(x);
double tmp;
if (x <= 1.16e+77) {
tmp = (t_0 * exp((fabs(x) * fabs(x)))) * (fma(((x * x) / x), 0.5, (0.75 / x)) / pow(x, 4.0));
} else {
tmp = (t_0 * fma(fma((x * x), 0.5, 1.0), (x * x), 1.0)) * ((((((0.5 / x) / x) + 1.0) / x) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * -(x * x))) * t_1))) + ((15.0 / 8.0) * ((((((t_1 * t_1) * t_1) * t_1) * t_1) * t_1) * t_1)));
}
return tmp;
}
function code(x) t_0 = Float64(1.0 / sqrt(pi)) t_1 = Float64(1.0 / abs(x)) tmp = 0.0 if (x <= 1.16e+77) tmp = Float64(Float64(t_0 * exp(Float64(abs(x) * abs(x)))) * Float64(fma(Float64(Float64(x * x) / x), 0.5, Float64(0.75 / x)) / (x ^ 4.0))); else tmp = Float64(Float64(t_0 * fma(fma(Float64(x * x), 0.5, 1.0), Float64(x * x), 1.0)) * Float64(Float64(Float64(Float64(Float64(Float64(0.5 / x) / x) + 1.0) / x) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(Float64(x * x) * Float64(-Float64(x * x)))) * t_1))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(Float64(Float64(t_1 * t_1) * t_1) * t_1) * t_1) * t_1) * t_1)))); end return tmp end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1.16e+77], N[(N[(t$95$0 * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(x * x), $MachinePrecision] / x), $MachinePrecision] * 0.5 + N[(0.75 / x), $MachinePrecision]), $MachinePrecision] / N[Power[x, 4.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$0 * N[(N[(N[(x * x), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(0.5 / x), $MachinePrecision] / x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(-1.0 / N[(N[(x * x), $MachinePrecision] * (-N[(x * x), $MachinePrecision])), $MachinePrecision]), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(t$95$1 * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\sqrt{\pi}}\\
t_1 := \frac{1}{\left|x\right|}\\
\mathbf{if}\;x \leq 1.16 \cdot 10^{+77}:\\
\;\;\;\;\left(t\_0 \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \frac{\mathsf{fma}\left(\frac{x \cdot x}{x}, 0.5, \frac{0.75}{x}\right)}{{x}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\left(t\_0 \cdot \mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, 0.5, 1\right), x \cdot x, 1\right)\right) \cdot \left(\left(\frac{\frac{\frac{0.5}{x}}{x} + 1}{x} + \frac{3}{4} \cdot \left(\frac{-1}{\left(x \cdot x\right) \cdot \left(-x \cdot x\right)} \cdot t\_1\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(t\_1 \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right) \cdot t\_1\right)\right)\\
\end{array}
\end{array}
if x < 1.1600000000000001e77Initial program 99.9%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.9%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites98.4%
if 1.1600000000000001e77 < x Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64100.0
Applied rewrites100.0%
(FPCore (x) :precision binary64 (if (<= x 5.1e+107) (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (* (pow x -3.0) 0.5)) (* (/ (fma x x 1.0) (sqrt PI)) (/ (fma (pow x -2.0) 0.5 1.0) x))))
double code(double x) {
double tmp;
if (x <= 5.1e+107) {
tmp = ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (pow(x, -3.0) * 0.5);
} else {
tmp = (fma(x, x, 1.0) / sqrt(((double) M_PI))) * (fma(pow(x, -2.0), 0.5, 1.0) / x);
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= 5.1e+107) tmp = Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64((x ^ -3.0) * 0.5)); else tmp = Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) * Float64(fma((x ^ -2.0), 0.5, 1.0) / x)); end return tmp end
code[x_] := If[LessEqual[x, 5.1e+107], N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision], N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[x, -2.0], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.1 \cdot 10^{+107}:\\
\;\;\;\;\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \left({x}^{-3} \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}} \cdot \frac{\mathsf{fma}\left({x}^{-2}, 0.5, 1\right)}{x}\\
\end{array}
\end{array}
if x < 5.1000000000000002e107Initial program 99.9%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites98.8%
Taylor expanded in x around 0
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6498.8
Applied rewrites98.8%
lift-exp.f64N/A
lift-pow.f64N/A
pow-expN/A
pow2N/A
lower-exp.f64N/A
pow2N/A
lift-*.f6498.8
Applied rewrites98.8%
if 5.1000000000000002e107 < x Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
sqr-abs-revN/A
lower-fma.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow176.9
Applied rewrites76.9%
Applied rewrites1.1%
Taylor expanded in x around 0
Applied rewrites76.9%
(FPCore (x) :precision binary64 (if (<= x 5.1e+107) (* (* (/ 1.0 (sqrt PI)) (pow (+ x 1.0) x)) (* (pow x -3.0) 0.5)) (* (/ (fma x x 1.0) (sqrt PI)) (/ (fma (pow x -2.0) 0.5 1.0) x))))
double code(double x) {
double tmp;
if (x <= 5.1e+107) {
tmp = ((1.0 / sqrt(((double) M_PI))) * pow((x + 1.0), x)) * (pow(x, -3.0) * 0.5);
} else {
tmp = (fma(x, x, 1.0) / sqrt(((double) M_PI))) * (fma(pow(x, -2.0), 0.5, 1.0) / x);
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= 5.1e+107) tmp = Float64(Float64(Float64(1.0 / sqrt(pi)) * (Float64(x + 1.0) ^ x)) * Float64((x ^ -3.0) * 0.5)); else tmp = Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) * Float64(fma((x ^ -2.0), 0.5, 1.0) / x)); end return tmp end
code[x_] := If[LessEqual[x, 5.1e+107], N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[(x + 1.0), $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision], N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[x, -2.0], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.1 \cdot 10^{+107}:\\
\;\;\;\;\left(\frac{1}{\sqrt{\pi}} \cdot {\left(x + 1\right)}^{x}\right) \cdot \left({x}^{-3} \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}} \cdot \frac{\mathsf{fma}\left({x}^{-2}, 0.5, 1\right)}{x}\\
\end{array}
\end{array}
if x < 5.1000000000000002e107Initial program 99.9%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites98.8%
Taylor expanded in x around 0
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f6498.1
Applied rewrites98.1%
if 5.1000000000000002e107 < x Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
sqr-abs-revN/A
lower-fma.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow176.9
Applied rewrites76.9%
Applied rewrites1.1%
Taylor expanded in x around 0
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(if (<= x 5.1e+107)
(*
(*
(/ 1.0 (sqrt PI))
(fma (fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0) (* x x) 1.0))
(* (pow x -3.0) 0.5))
(* (/ (fma x x 1.0) (sqrt PI)) (/ (fma (pow x -2.0) 0.5 1.0) x))))
double code(double x) {
double tmp;
if (x <= 5.1e+107) {
tmp = ((1.0 / sqrt(((double) M_PI))) * fma(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (x * x), 1.0)) * (pow(x, -3.0) * 0.5);
} else {
tmp = (fma(x, x, 1.0) / sqrt(((double) M_PI))) * (fma(pow(x, -2.0), 0.5, 1.0) / x);
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= 5.1e+107) tmp = Float64(Float64(Float64(1.0 / sqrt(pi)) * fma(fma(fma(0.16666666666666666, Float64(x * x), 0.5), Float64(x * x), 1.0), Float64(x * x), 1.0)) * Float64((x ^ -3.0) * 0.5)); else tmp = Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) * Float64(fma((x ^ -2.0), 0.5, 1.0) / x)); end return tmp end
code[x_] := If[LessEqual[x, 5.1e+107], N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision], N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[x, -2.0], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.1 \cdot 10^{+107}:\\
\;\;\;\;\left(\frac{1}{\sqrt{\pi}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.16666666666666666, x \cdot x, 0.5\right), x \cdot x, 1\right), x \cdot x, 1\right)\right) \cdot \left({x}^{-3} \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}} \cdot \frac{\mathsf{fma}\left({x}^{-2}, 0.5, 1\right)}{x}\\
\end{array}
\end{array}
if x < 5.1000000000000002e107Initial program 99.9%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites98.8%
Taylor expanded in x around 0
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6453.1
Applied rewrites53.1%
if 5.1000000000000002e107 < x Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
sqr-abs-revN/A
lower-fma.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow176.9
Applied rewrites76.9%
Applied rewrites1.1%
Taylor expanded in x around 0
Applied rewrites76.9%
(FPCore (x)
:precision binary64
(if (<= x 5.1e+107)
(*
(* (/ 1.0 (sqrt PI)) (fma (fma (* x x) 0.5 1.0) (* x x) 1.0))
(* (pow x -3.0) 0.5))
(* (/ (fma x x 1.0) (sqrt PI)) (/ (fma (pow x -2.0) 0.5 1.0) x))))
double code(double x) {
double tmp;
if (x <= 5.1e+107) {
tmp = ((1.0 / sqrt(((double) M_PI))) * fma(fma((x * x), 0.5, 1.0), (x * x), 1.0)) * (pow(x, -3.0) * 0.5);
} else {
tmp = (fma(x, x, 1.0) / sqrt(((double) M_PI))) * (fma(pow(x, -2.0), 0.5, 1.0) / x);
}
return tmp;
}
function code(x) tmp = 0.0 if (x <= 5.1e+107) tmp = Float64(Float64(Float64(1.0 / sqrt(pi)) * fma(fma(Float64(x * x), 0.5, 1.0), Float64(x * x), 1.0)) * Float64((x ^ -3.0) * 0.5)); else tmp = Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) * Float64(fma((x ^ -2.0), 0.5, 1.0) / x)); end return tmp end
code[x_] := If[LessEqual[x, 5.1e+107], N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision], N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[x, -2.0], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.1 \cdot 10^{+107}:\\
\;\;\;\;\left(\frac{1}{\sqrt{\pi}} \cdot \mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, 0.5, 1\right), x \cdot x, 1\right)\right) \cdot \left({x}^{-3} \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}} \cdot \frac{\mathsf{fma}\left({x}^{-2}, 0.5, 1\right)}{x}\\
\end{array}
\end{array}
if x < 5.1000000000000002e107Initial program 99.9%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites98.8%
Taylor expanded in x around 0
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6498.8
Applied rewrites98.8%
Taylor expanded in x around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6429.9
Applied rewrites29.9%
if 5.1000000000000002e107 < x Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
sqr-abs-revN/A
lower-fma.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow176.9
Applied rewrites76.9%
Applied rewrites1.1%
Taylor expanded in x around 0
Applied rewrites76.9%
(FPCore (x) :precision binary64 (* (/ (fma x x 1.0) (sqrt PI)) (/ (fma (pow x -2.0) 0.5 1.0) x)))
double code(double x) {
return (fma(x, x, 1.0) / sqrt(((double) M_PI))) * (fma(pow(x, -2.0), 0.5, 1.0) / x);
}
function code(x) return Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) * Float64(fma((x ^ -2.0), 0.5, 1.0) / x)) end
code[x_] := N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[x, -2.0], $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}} \cdot \frac{\mathsf{fma}\left({x}^{-2}, 0.5, 1\right)}{x}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
+-commutativeN/A
pow2N/A
sqr-abs-revN/A
lower-fma.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow151.3
Applied rewrites51.3%
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites51.3%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) 1.0) (* (pow x -3.0) 0.5)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * 1.0) * (pow(x, -3.0) * 0.5);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * 1.0) * (Math.pow(x, -3.0) * 0.5);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * 1.0) * (math.pow(x, -3.0) * 0.5)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * 1.0) * Float64((x ^ -3.0) * 0.5)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * 1.0) * ((x ^ -3.0) * 0.5); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * 1.0), $MachinePrecision] * N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot 1\right) \cdot \left({x}^{-3} \cdot 0.5\right)
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r/N/A
*-rgt-identityN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites34.5%
Taylor expanded in x around 0
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6434.5
Applied rewrites34.5%
Taylor expanded in x around 0
Applied rewrites1.8%
(FPCore (x) :precision binary64 (/ (* 0.75 (pow x -5.0)) (sqrt PI)))
double code(double x) {
return (0.75 * pow(x, -5.0)) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (0.75 * Math.pow(x, -5.0)) / Math.sqrt(Math.PI);
}
def code(x): return (0.75 * math.pow(x, -5.0)) / math.sqrt(math.pi)
function code(x) return Float64(Float64(0.75 * (x ^ -5.0)) / sqrt(pi)) end
function tmp = code(x) tmp = (0.75 * (x ^ -5.0)) / sqrt(pi); end
code[x_] := N[(N[(0.75 * N[Power[x, -5.0], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.75 \cdot {x}^{-5}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites1.7%
Applied rewrites1.7%
(FPCore (x) :precision binary64 (/ 0.75 (* (pow x 5.0) (sqrt PI))))
double code(double x) {
return 0.75 / (pow(x, 5.0) * sqrt(((double) M_PI)));
}
public static double code(double x) {
return 0.75 / (Math.pow(x, 5.0) * Math.sqrt(Math.PI));
}
def code(x): return 0.75 / (math.pow(x, 5.0) * math.sqrt(math.pi))
function code(x) return Float64(0.75 / Float64((x ^ 5.0) * sqrt(pi))) end
function tmp = code(x) tmp = 0.75 / ((x ^ 5.0) * sqrt(pi)); end
code[x_] := N[(0.75 / N[(N[Power[x, 5.0], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.75}{{x}^{5} \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
pow2N/A
associate-*l/N/A
*-lft-identityN/A
lower-/.f64N/A
pow2N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-2negN/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites1.7%
herbie shell --seed 2025098
(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)))))))