
(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 18 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) (sqrt PI))
(+
(/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))
(/
(fma (fabs x) 0.75 (/ 1.875 (fabs x)))
(* (* x x) (* (* x x) (* x x)))))))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) * ((((0.5 / (x * x)) + 1.0) / fabs(x)) + (fma(fabs(x), 0.75, (1.875 / fabs(x))) / ((x * x) * ((x * x) * (x * x)))));
}
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) + Float64(fma(abs(x), 0.75, Float64(1.875 / abs(x))) / Float64(Float64(x * x) * Float64(Float64(x * x) * Float64(x * x)))))) end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(N[Abs[x], $MachinePrecision] * 0.75 + N[(1.875 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \left(\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|} + \frac{\mathsf{fma}\left(\left|x\right|, 0.75, \frac{1.875}{\left|x\right|}\right)}{\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
*-lft-identity100.0
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64100.0
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
*-lft-identityN/A
associate-*l/N/A
associate-*l*N/A
*-commutativeN/A
lower-/.f64N/A
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))))
(/
(*
(+
(/ 1.875 (* (fabs x) (* t_0 t_0)))
(+ (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x)) (/ 0.75 (* t_0 (* x (fabs x))))))
(exp (* x x)))
(sqrt PI))))
double code(double x) {
double t_0 = x * (x * x);
return (((1.875 / (fabs(x) * (t_0 * t_0))) + ((((0.5 / (x * x)) + 1.0) / fabs(x)) + (0.75 / (t_0 * (x * fabs(x)))))) * exp((x * x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
double t_0 = x * (x * x);
return (((1.875 / (Math.abs(x) * (t_0 * t_0))) + ((((0.5 / (x * x)) + 1.0) / Math.abs(x)) + (0.75 / (t_0 * (x * Math.abs(x)))))) * Math.exp((x * x))) / Math.sqrt(Math.PI);
}
def code(x): t_0 = x * (x * x) return (((1.875 / (math.fabs(x) * (t_0 * t_0))) + ((((0.5 / (x * x)) + 1.0) / math.fabs(x)) + (0.75 / (t_0 * (x * math.fabs(x)))))) * math.exp((x * x))) / math.sqrt(math.pi)
function code(x) t_0 = Float64(x * Float64(x * x)) return Float64(Float64(Float64(Float64(1.875 / Float64(abs(x) * Float64(t_0 * t_0))) + Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) + Float64(0.75 / Float64(t_0 * Float64(x * abs(x)))))) * exp(Float64(x * x))) / sqrt(pi)) end
function tmp = code(x) t_0 = x * (x * x); tmp = (((1.875 / (abs(x) * (t_0 * t_0))) + ((((0.5 / (x * x)) + 1.0) / abs(x)) + (0.75 / (t_0 * (x * abs(x)))))) * exp((x * x))) / sqrt(pi); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(1.875 / N[(N[Abs[x], $MachinePrecision] * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(t$95$0 * N[(x * N[Abs[x], $MachinePrecision]), $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 x\right)\\
\frac{\left(\frac{1.875}{\left|x\right| \cdot \left(t\_0 \cdot t\_0\right)} + \left(\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|} + \frac{0.75}{t\_0 \cdot \left(x \cdot \left|x\right|\right)}\right)\right) \cdot e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (fabs x) (* (* x x) (* x x)))))
(*
(/ (exp (* x x)) (sqrt PI))
(+
(/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))
(+ (/ 0.75 t_0) (/ 1.875 (* (* x x) t_0)))))))
double code(double x) {
double t_0 = fabs(x) * ((x * x) * (x * x));
return (exp((x * x)) / sqrt(((double) M_PI))) * ((((0.5 / (x * x)) + 1.0) / fabs(x)) + ((0.75 / t_0) + (1.875 / ((x * x) * t_0))));
}
public static double code(double x) {
double t_0 = Math.abs(x) * ((x * x) * (x * x));
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((((0.5 / (x * x)) + 1.0) / Math.abs(x)) + ((0.75 / t_0) + (1.875 / ((x * x) * t_0))));
}
def code(x): t_0 = math.fabs(x) * ((x * x) * (x * x)) return (math.exp((x * x)) / math.sqrt(math.pi)) * ((((0.5 / (x * x)) + 1.0) / math.fabs(x)) + ((0.75 / t_0) + (1.875 / ((x * x) * t_0))))
function code(x) t_0 = Float64(abs(x) * Float64(Float64(x * x) * Float64(x * x))) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) + Float64(Float64(0.75 / t_0) + Float64(1.875 / Float64(Float64(x * x) * t_0))))) end
function tmp = code(x) t_0 = abs(x) * ((x * x) * (x * x)); tmp = (exp((x * x)) / sqrt(pi)) * ((((0.5 / (x * x)) + 1.0) / abs(x)) + ((0.75 / t_0) + (1.875 / ((x * x) * t_0)))); end
code[x_] := Block[{t$95$0 = N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / t$95$0), $MachinePrecision] + N[(1.875 / N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left|x\right| \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|} + \left(\frac{0.75}{t\_0} + \frac{1.875}{\left(x \cdot x\right) \cdot t\_0}\right)\right)
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
*-lft-identity100.0
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(/
(*
(exp (* x x))
(+
(/ 0.5 (fabs (* x (* x x))))
(+ (/ 0.75 (* (fabs x) (* (* x x) (* x x)))) (/ 1.0 (fabs x)))))
(sqrt PI)))
double code(double x) {
return (exp((x * x)) * ((0.5 / fabs((x * (x * x)))) + ((0.75 / (fabs(x) * ((x * x) * (x * x)))) + (1.0 / fabs(x))))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.exp((x * x)) * ((0.5 / Math.abs((x * (x * x)))) + ((0.75 / (Math.abs(x) * ((x * x) * (x * x)))) + (1.0 / Math.abs(x))))) / Math.sqrt(Math.PI);
}
def code(x): return (math.exp((x * x)) * ((0.5 / math.fabs((x * (x * x)))) + ((0.75 / (math.fabs(x) * ((x * x) * (x * x)))) + (1.0 / math.fabs(x))))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(0.5 / abs(Float64(x * Float64(x * x)))) + Float64(Float64(0.75 / Float64(abs(x) * Float64(Float64(x * x) * Float64(x * x)))) + Float64(1.0 / abs(x))))) / sqrt(pi)) end
function tmp = code(x) tmp = (exp((x * x)) * ((0.5 / abs((x * (x * x)))) + ((0.75 / (abs(x) * ((x * x) * (x * x)))) + (1.0 / abs(x))))) / sqrt(pi); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(0.5 / N[Abs[N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \left(\frac{0.5}{\left|x \cdot \left(x \cdot x\right)\right|} + \left(\frac{0.75}{\left|x\right| \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)} + \frac{1}{\left|x\right|}\right)\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-+.f64N/A
unpow2N/A
fabs-sqrN/A
unpow2N/A
fabs-mulN/A
unpow2N/A
unpow3N/A
lower-/.f64N/A
lower-fabs.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f64N/A
metadata-evalN/A
associate-*r/N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* (/ (exp (* x x)) (fabs x)) (+ (/ 0.5 (* x x)) (+ 1.0 (/ 0.75 (* (* x x) (* x x))))))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * ((exp((x * x)) / fabs(x)) * ((0.5 / (x * x)) + (1.0 + (0.75 / ((x * x) * (x * x))))));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * ((Math.exp((x * x)) / Math.abs(x)) * ((0.5 / (x * x)) + (1.0 + (0.75 / ((x * x) * (x * x))))));
}
def code(x): return math.sqrt((1.0 / math.pi)) * ((math.exp((x * x)) / math.fabs(x)) * ((0.5 / (x * x)) + (1.0 + (0.75 / ((x * x) * (x * x))))))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(Float64(exp(Float64(x * x)) / abs(x)) * Float64(Float64(0.5 / Float64(x * x)) + Float64(1.0 + Float64(0.75 / Float64(Float64(x * x) * Float64(x * x))))))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * ((exp((x * x)) / abs(x)) * ((0.5 / (x * x)) + (1.0 + (0.75 / ((x * x) * (x * x)))))); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(1.0 + N[(0.75 / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(\frac{e^{x \cdot x}}{\left|x\right|} \cdot \left(\frac{0.5}{x \cdot x} + \left(1 + \frac{0.75}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right)\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
*-lft-identity100.0
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64100.0
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ (* (exp (* x x)) (+ (/ 0.5 (fabs (* x (* x x)))) (/ 1.0 (fabs x)))) (sqrt PI)))
double code(double x) {
return (exp((x * x)) * ((0.5 / fabs((x * (x * x)))) + (1.0 / fabs(x)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.exp((x * x)) * ((0.5 / Math.abs((x * (x * x)))) + (1.0 / Math.abs(x)))) / Math.sqrt(Math.PI);
}
def code(x): return (math.exp((x * x)) * ((0.5 / math.fabs((x * (x * x)))) + (1.0 / math.fabs(x)))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(0.5 / abs(Float64(x * Float64(x * x)))) + Float64(1.0 / abs(x)))) / sqrt(pi)) end
function tmp = code(x) tmp = (exp((x * x)) * ((0.5 / abs((x * (x * x)))) + (1.0 / abs(x)))) / sqrt(pi); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(0.5 / N[Abs[N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \left(\frac{0.5}{\left|x \cdot \left(x \cdot x\right)\right|} + \frac{1}{\left|x\right|}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
metadata-evalN/A
lower-+.f64N/A
lower-/.f64N/A
lower-fabs.f64N/A
unpow2N/A
fabs-sqrN/A
unpow2N/A
fabs-mulN/A
unpow2N/A
unpow3N/A
lower-/.f64N/A
lower-fabs.f64N/A
cube-multN/A
unpow2N/A
lower-*.f64N/A
unpow2N/A
lower-*.f6499.5
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (* (+ (/ 0.5 (* x x)) 1.0) (/ (* (exp (* x x)) (sqrt (/ 1.0 PI))) (fabs x))))
double code(double x) {
return ((0.5 / (x * x)) + 1.0) * ((exp((x * x)) * sqrt((1.0 / ((double) M_PI)))) / fabs(x));
}
public static double code(double x) {
return ((0.5 / (x * x)) + 1.0) * ((Math.exp((x * x)) * Math.sqrt((1.0 / Math.PI))) / Math.abs(x));
}
def code(x): return ((0.5 / (x * x)) + 1.0) * ((math.exp((x * x)) * math.sqrt((1.0 / math.pi))) / math.fabs(x))
function code(x) return Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(Float64(exp(Float64(x * x)) * sqrt(Float64(1.0 / pi))) / abs(x))) end
function tmp = code(x) tmp = ((0.5 / (x * x)) + 1.0) * ((exp((x * x)) * sqrt((1.0 / pi))) / abs(x)); end
code[x_] := N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{e^{x \cdot x} \cdot \sqrt{\frac{1}{\pi}}}{\left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
*-lft-identity100.0
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
lift-*.f64100.0
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*l/N/A
unpow2N/A
sqr-absN/A
unpow2N/A
associate-*r/N/A
times-fracN/A
associate-*l/N/A
*-commutativeN/A
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ 1.0 (* (sqrt PI) (* (fabs x) (exp (- (* x x)))))))
double code(double x) {
return 1.0 / (sqrt(((double) M_PI)) * (fabs(x) * exp(-(x * x))));
}
public static double code(double x) {
return 1.0 / (Math.sqrt(Math.PI) * (Math.abs(x) * Math.exp(-(x * x))));
}
def code(x): return 1.0 / (math.sqrt(math.pi) * (math.fabs(x) * math.exp(-(x * x))))
function code(x) return Float64(1.0 / Float64(sqrt(pi) * Float64(abs(x) * exp(Float64(-Float64(x * x)))))) end
function tmp = code(x) tmp = 1.0 / (sqrt(pi) * (abs(x) * exp(-(x * x)))); end
code[x_] := N[(1.0 / N[(N[Sqrt[Pi], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * N[Exp[(-N[(x * x), $MachinePrecision])], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{\pi} \cdot \left(\left|x\right| \cdot e^{-x \cdot x}\right)}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x) :precision binary64 (* (exp (* x x)) (/ 1.0 (* (sqrt PI) (fabs x)))))
double code(double x) {
return exp((x * x)) * (1.0 / (sqrt(((double) M_PI)) * fabs(x)));
}
public static double code(double x) {
return Math.exp((x * x)) * (1.0 / (Math.sqrt(Math.PI) * Math.abs(x)));
}
def code(x): return math.exp((x * x)) * (1.0 / (math.sqrt(math.pi) * math.fabs(x)))
function code(x) return Float64(exp(Float64(x * x)) * Float64(1.0 / Float64(sqrt(pi) * abs(x)))) end
function tmp = code(x) tmp = exp((x * x)) * (1.0 / (sqrt(pi) * abs(x))); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(1.0 / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot x} \cdot \frac{1}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Applied rewrites99.4%
Final simplification99.4%
(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(exp(Float64(x * x)) / Float64(sqrt(pi) * abs(x))) end
function tmp = code(x) tmp = exp((x * x)) / (sqrt(pi) * abs(x)); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
(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(x, Float64(x * fma(Float64(x * 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[(x * N[(x * N[(N[(x * x), $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision]), $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, x \cdot \mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right), 1\right), 1\right)}{\left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites84.0%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (fma (fabs 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(fabs(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)) * fma(abs(x), fma(Float64(x * x), fma(Float64(x * x), 0.16666666666666666, 0.5), 1.0), Float64(1.0 / abs(x)))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * 0.16666666666666666 + 0.5), $MachinePrecision] + 1.0), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \mathsf{fma}\left(\left|x\right|, \mathsf{fma}\left(x \cdot x, \mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right), 1\right), \frac{1}{\left|x\right|}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites5.4%
Taylor expanded in x around 0
Applied rewrites80.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (fma (* x x) (* (fabs x) (fma (* x x) 0.16666666666666666 0.5)) (/ 1.0 (fabs x)))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * fma((x * x), (fabs(x) * fma((x * x), 0.16666666666666666, 0.5)), (1.0 / fabs(x)));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * fma(Float64(x * x), Float64(abs(x) * fma(Float64(x * x), 0.16666666666666666, 0.5)), Float64(1.0 / abs(x)))) 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] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \mathsf{fma}\left(x \cdot x, \left|x\right| \cdot \mathsf{fma}\left(x \cdot x, 0.16666666666666666, 0.5\right), \frac{1}{\left|x\right|}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites80.5%
Taylor expanded in x around inf
Applied rewrites80.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (fma (* x x) (* x (* x (* (fabs x) 0.16666666666666666))) (/ 1.0 (fabs x)))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * fma((x * x), (x * (x * (fabs(x) * 0.16666666666666666))), (1.0 / fabs(x)));
}
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * fma(Float64(x * x), Float64(x * Float64(x * Float64(abs(x) * 0.16666666666666666))), Float64(1.0 / abs(x)))) end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[(N[Abs[x], $MachinePrecision] * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \mathsf{fma}\left(x \cdot x, x \cdot \left(x \cdot \left(\left|x\right| \cdot 0.16666666666666666\right)\right), \frac{1}{\left|x\right|}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites80.5%
Taylor expanded in x around inf
Applied rewrites80.5%
Final simplification80.5%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (* 0.16666666666666666 (* (* x x) (* x (* x (fabs x)))))))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * (0.16666666666666666 * ((x * x) * (x * (x * fabs(x)))));
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * (0.16666666666666666 * ((x * x) * (x * (x * Math.abs(x)))));
}
def code(x): return math.sqrt((1.0 / math.pi)) * (0.16666666666666666 * ((x * x) * (x * (x * math.fabs(x)))))
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * Float64(0.16666666666666666 * Float64(Float64(x * x) * Float64(x * Float64(x * abs(x)))))) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * (0.16666666666666666 * ((x * x) * (x * (x * abs(x))))); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[(0.16666666666666666 * N[(N[(x * x), $MachinePrecision] * N[(x * N[(x * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left(0.16666666666666666 \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(x \cdot \left|x\right|\right)\right)\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites80.5%
Taylor expanded in x around inf
Applied rewrites80.5%
(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 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites54.2%
(FPCore (x) :precision binary64 (/ (+ (fabs x) (/ 1.0 (fabs x))) (sqrt PI)))
double code(double x) {
return (fabs(x) + (1.0 / fabs(x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.abs(x) + (1.0 / Math.abs(x))) / Math.sqrt(Math.PI);
}
def code(x): return (math.fabs(x) + (1.0 / math.fabs(x))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(abs(x) + Float64(1.0 / abs(x))) / sqrt(pi)) end
function tmp = code(x) tmp = (abs(x) + (1.0 / abs(x))) / sqrt(pi); end
code[x_] := N[(N[(N[Abs[x], $MachinePrecision] + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left|x\right| + \frac{1}{\left|x\right|}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites5.4%
Applied rewrites5.4%
(FPCore (x) :precision binary64 (* (sqrt (/ 1.0 PI)) (fabs x)))
double code(double x) {
return sqrt((1.0 / ((double) M_PI))) * fabs(x);
}
public static double code(double x) {
return Math.sqrt((1.0 / Math.PI)) * Math.abs(x);
}
def code(x): return math.sqrt((1.0 / math.pi)) * math.fabs(x)
function code(x) return Float64(sqrt(Float64(1.0 / pi)) * abs(x)) end
function tmp = code(x) tmp = sqrt((1.0 / pi)) * abs(x); end
code[x_] := N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{\frac{1}{\pi}} \cdot \left|x\right|
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
lower-*.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-/.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64N/A
lower-fabs.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites5.4%
Taylor expanded in x around inf
Applied rewrites5.4%
herbie shell --seed 2024257
(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)))))))