
(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 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
(let* ((t_0 (/ 1.0 (fabs x))) (t_1 (* (* (* (* t_0 t_0) t_0) t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp (* 2.0 x)) (/ x 2.0)))
(+
(+ (* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x)) (* (/ 3.0 4.0) t_1))
(* (/ 15.0 8.0) (* (* t_1 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * pow(exp((2.0 * x)), (x / 2.0))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * 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) * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp((2.0 * x)), (x / 2.0))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp((2.0 * x)), (x / 2.0))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(Float64(2.0 * x)) ^ Float64(x / 2.0))) * Float64(Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x)) + Float64(Float64(3.0 / 4.0) * t_1)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_1 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * (exp((2.0 * x)) ^ (x / 2.0))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * 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[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[N[(2.0 * x), $MachinePrecision]], $MachinePrecision], N[(x / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$1 * 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(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{2 \cdot x}\right)}^{\left(\frac{x}{2}\right)}\right) \cdot \left(\left(\left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x} + \frac{3}{4} \cdot t\_1\right) + \frac{15}{8} \cdot \left(\left(t\_1 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
pow-expN/A
sqr-powN/A
pow-prod-downN/A
lower-pow.f64N/A
lower-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
exp-lft-sqr-revN/A
*-commutativeN/A
lower-exp.f64N/A
lower-*.f64100.0
Applied rewrites100.0%
lift-fabs.f64N/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
inv-powN/A
lift-/.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))) (t_1 (* (* (* (* t_0 t_0) t_0) t_0) t_0)))
(*
(/ (pow (exp x) x) (sqrt PI))
(+
(+ (* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x)) (* (/ 3.0 4.0) t_1))
(* (/ 15.0 8.0) (* (* t_1 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0;
return (pow(exp(x), x) / sqrt(((double) M_PI))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * 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) * t_0) * t_0;
return (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI)) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0 return (math.pow(math.exp(x), x) / math.sqrt(math.pi)) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * Float64(Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x)) + Float64(Float64(3.0 / 4.0) * t_1)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_1 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (((t_0 * t_0) * t_0) * t_0) * t_0; tmp = ((exp(x) ^ x) / sqrt(pi)) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * t_1)) + ((15.0 / 8.0) * ((t_1 * 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[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$1 * 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(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \cdot \left(\left(\left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x} + \frac{3}{4} \cdot t\_1\right) + \frac{15}{8} \cdot \left(\left(t\_1 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-fabs.f64N/A
lift-pow.f64N/A
inv-powN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
associate-*l/N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
pow2N/A
sqr-abs-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(/ (pow (exp x) x) (sqrt PI))
(+
(+
(+ t_0 (/ (/ 0.5 (* x x)) (fabs x)))
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (* x x))) (- t_0))))
(* (/ 15.0 8.0) (* (* (* (* (* (* t_0 t_0) t_0) t_0) t_0) t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return (pow(exp(x), x) / sqrt(((double) M_PI))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
return (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI)) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) return (math.pow(math.exp(x), x) / math.sqrt(math.pi)) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) * 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(x * x))) * Float64(-t_0)))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((exp(x) ^ x) / sqrt(pi)) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $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[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}} \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 \left(-t\_0\right)\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right)\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
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*l*N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
associate-*l/N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
pow2N/A
sqr-abs-revN/A
exp-prodN/A
lower-pow.f64N/A
lift-exp.f64100.0
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(+
(* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x))
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (* x x))) (- t_0))))
(* (/ 15.0 8.0) (* (* (* (* (* (* t_0 t_0) t_0) t_0) t_0) t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x)) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(Float64(x * x) * Float64(x * x))) * Float64(-t_0)))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0))); 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[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $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[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \left(\left(\left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x} + \frac{3}{4} \cdot \left(\frac{-1}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} \cdot \left(-t\_0\right)\right)\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-fabs.f64N/A
lift-pow.f64N/A
inv-powN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*l*N/A
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (fma (pow x -3.0) 0.5 (pow x -1.0))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * fma(pow(x, -3.0), 0.5, pow(x, -1.0));
}
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * fma((x ^ -3.0), 0.5, (x ^ -1.0))) end
code[x_] := 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 + N[Power[x, -1.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \mathsf{fma}\left({x}^{-3}, 0.5, {x}^{-1}\right)
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-fabs.f64N/A
lift-pow.f64N/A
inv-powN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(+
(+ t_0 (/ (/ 0.5 (* x x)) (fabs x)))
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (* x x))) (- t_0))))
(*
(/ 15.0 8.0)
(* (* (/ (/ -1.0 (* x x)) (* (* (- x) x) x)) t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((-1.0 / (x * x)) / ((-x * x) * x)) * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((-1.0 / (x * x)) / ((-x * x) * x)) * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((-1.0 / (x * x)) / ((-x * x) * x)) * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * 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(x * x))) * Float64(-t_0)))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(-1.0 / Float64(x * x)) / Float64(Float64(Float64(-x) * x) * x)) * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_0))) + ((15.0 / 8.0) * ((((-1.0 / (x * x)) / ((-x * x) * x)) * t_0) * t_0))); 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[(x * x), $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[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(-1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(N[((-x) * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\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 \left(-t\_0\right)\right)\right) + \frac{15}{8} \cdot \left(\left(\frac{\frac{-1}{x \cdot x}}{\left(\left(-x\right) \cdot x\right) \cdot x} \cdot t\_0\right) \cdot t\_0\right)\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
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*l*N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
Applied rewrites100.0%
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(if (<= x 4e+51)
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(/ (fma (/ (* x x) x) 0.5 (/ 0.75 x)) (pow x 4.0)))
(*
(/
(fma
(fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0)
(* x x)
1.0)
(sqrt PI))
(+
(+
(- t_0 (/ -0.5 (* (* x x) x)))
(* (/ 3.0 4.0) (/ (/ -1.0 (* x x)) (* (* (- x) x) x))))
(*
(/ 15.0 8.0)
(* (* (* (* (* (* t_0 t_0) t_0) t_0) t_0) t_0) t_0)))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double tmp;
if (x <= 4e+51) {
tmp = ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (fma(((x * x) / x), 0.5, (0.75 / x)) / pow(x, 4.0));
} else {
tmp = (fma(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (x * x), 1.0) / sqrt(((double) M_PI))) * (((t_0 - (-0.5 / ((x * x) * x))) + ((3.0 / 4.0) * ((-1.0 / (x * x)) / ((-x * x) * x)))) + ((15.0 / 8.0) * ((((((t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)));
}
return tmp;
}
function code(x) t_0 = Float64(1.0 / abs(x)) tmp = 0.0 if (x <= 4e+51) tmp = Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(fma(Float64(Float64(x * x) / x), 0.5, Float64(0.75 / x)) / (x ^ 4.0))); else tmp = Float64(Float64(fma(fma(fma(0.16666666666666666, Float64(x * x), 0.5), Float64(x * x), 1.0), Float64(x * x), 1.0) / sqrt(pi)) * Float64(Float64(Float64(t_0 - Float64(-0.5 / Float64(Float64(x * x) * x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(x * x)) / Float64(Float64(Float64(-x) * x) * x)))) + Float64(Float64(15.0 / 8.0) * Float64(Float64(Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0) * t_0) * t_0)))); end return tmp end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 4e+51], N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $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[(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] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 - N[(-0.5 / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(-1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(N[((-x) * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(N[(N[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\mathbf{if}\;x \leq 4 \cdot 10^{+51}:\\
\;\;\;\;\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \frac{\mathsf{fma}\left(\frac{x \cdot x}{x}, 0.5, \frac{0.75}{x}\right)}{{x}^{4}}\\
\mathbf{else}:\\
\;\;\;\;\frac{\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)}{\sqrt{\pi}} \cdot \left(\left(\left(t\_0 - \frac{-0.5}{\left(x \cdot x\right) \cdot x}\right) + \frac{3}{4} \cdot \frac{\frac{-1}{x \cdot x}}{\left(\left(-x\right) \cdot x\right) \cdot x}\right) + \frac{15}{8} \cdot \left(\left(\left(\left(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\right)\right)\\
\end{array}
\end{array}
if x < 4e51Initial 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
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*l*N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
Applied rewrites99.9%
Taylor expanded in x around 0
Applied rewrites96.6%
if 4e51 < 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
pow-expN/A
sqr-abs-revN/A
+-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-*.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
metadata-evalN/A
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
associate-*r*N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
pow2N/A
associate-*r/N/A
metadata-evalN/A
Applied rewrites100.0%
Final simplification99.3%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (/ (/ 0.5 x) (* x x))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * ((0.5 / x) / (x * x));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * ((0.5 / x) / (x * x));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * ((0.5 / x) / (x * x))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(0.5 / x) / Float64(x * x))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * ((0.5 / x) / (x * x)); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 / x), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \frac{\frac{0.5}{x}}{x \cdot x}
\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
metadata-evalN/A
frac-timesN/A
metadata-evalN/A
associate-*r/N/A
metadata-evalN/A
pow2N/A
sqr-abs-revN/A
frac-timesN/A
associate-*r*N/A
Applied rewrites37.6%
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
metadata-evalN/A
pow-flipN/A
associate-*r/N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
unpow3N/A
pow2N/A
frac-timesN/A
pow2N/A
associate-/r*N/A
frac-timesN/A
pow2N/A
lower-/.f64N/A
lower-*.f64N/A
lower-/.f64N/A
pow2N/A
lift-*.f6437.6
Applied rewrites37.6%
Final simplification37.6%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (/ -0.5 (* (* (- x) x) x))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (-0.5 / ((-x * x) * x));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (-0.5 / ((-x * x) * x));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (-0.5 / ((-x * x) * x))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(-0.5 / Float64(Float64(Float64(-x) * x) * x))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (-0.5 / ((-x * x) * x)); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(-0.5 / N[(N[((-x) * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \frac{-0.5}{\left(\left(-x\right) \cdot x\right) \cdot x}
\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
metadata-evalN/A
frac-timesN/A
metadata-evalN/A
associate-*r/N/A
metadata-evalN/A
pow2N/A
sqr-abs-revN/A
frac-timesN/A
associate-*r*N/A
Applied rewrites37.6%
lift-*.f64N/A
*-commutativeN/A
lift-pow.f64N/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
metadata-evalN/A
pow-flipN/A
associate-*r/N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
unpow3N/A
pow2N/A
frac-timesN/A
frac-2negN/A
frac-timesN/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
lower-*.f64N/A
Applied rewrites35.7%
Final simplification35.7%
(FPCore (x) :precision binary64 (/ (* (pow x -3.0) 0.5) (sqrt PI)))
double code(double x) {
return (pow(x, -3.0) * 0.5) / sqrt(((double) M_PI));
}
public static double code(double x) {
return (Math.pow(x, -3.0) * 0.5) / Math.sqrt(Math.PI);
}
def code(x): return (math.pow(x, -3.0) * 0.5) / math.sqrt(math.pi)
function code(x) return Float64(Float64((x ^ -3.0) * 0.5) / sqrt(pi)) end
function tmp = code(x) tmp = ((x ^ -3.0) * 0.5) / sqrt(pi); end
code[x_] := N[(N[(N[Power[x, -3.0], $MachinePrecision] * 0.5), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{x}^{-3} \cdot 0.5}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
pow-expN/A
sqr-powN/A
pow-prod-downN/A
lower-pow.f64N/A
lower-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate-*r*N/A
Applied rewrites1.9%
lift-/.f64N/A
lift-pow.f64N/A
lower-*.f64N/A
associate-/r*N/A
frac-2neg-revN/A
cube-neg-revN/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
cube-neg-revN/A
frac-2negN/A
metadata-evalN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites1.9%
(FPCore (x) :precision binary64 (/ 0.5 (* (* (* x x) x) (sqrt PI))))
double code(double x) {
return 0.5 / (((x * x) * x) * sqrt(((double) M_PI)));
}
public static double code(double x) {
return 0.5 / (((x * x) * x) * Math.sqrt(Math.PI));
}
def code(x): return 0.5 / (((x * x) * x) * math.sqrt(math.pi))
function code(x) return Float64(0.5 / Float64(Float64(Float64(x * x) * x) * sqrt(pi))) end
function tmp = code(x) tmp = 0.5 / (((x * x) * x) * sqrt(pi)); end
code[x_] := N[(0.5 / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\left(\left(x \cdot x\right) \cdot x\right) \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
pow-expN/A
sqr-powN/A
pow-prod-downN/A
lower-pow.f64N/A
lower-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
unpow1N/A
metadata-evalN/A
sqrt-pow1N/A
pow2N/A
rem-sqrt-square-revN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
associate-*r*N/A
Applied rewrites1.9%
lift-pow.f64N/A
unpow3N/A
pow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f641.9
Applied rewrites1.9%
herbie shell --seed 2025085
(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)))))))