
(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
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (/ 1.0 (pow (exp (- x)) x)))
(+
(+
(+ t_0 (/ (/ 0.5 (* x x)) (fabs x)))
(* (/ 3.0 4.0) (* (* (* (/ 1.0 (* x x)) t_0) t_0) 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))) * (1.0 / pow(exp(-x), x))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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)) * (1.0 / Math.pow(Math.exp(-x), x))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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)) * (1.0 / math.pow(math.exp(-x), x))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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)) * Float64(1.0 / (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(Float64(Float64(1.0 / Float64(x * x)) * t_0) * t_0) * t_0))) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) t_0 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * (1.0 / (exp(-x) ^ x))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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[(1.0 / N[Power[N[Exp[(-x)], $MachinePrecision], 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[(N[(N[(1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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 \frac{1}{{\left(e^{-x}\right)}^{x}}\right) \cdot \left(\left(\left(t\_0 + \frac{\frac{0.5}{x \cdot x}}{\left|x\right|}\right) + \frac{3}{4} \cdot \left(\left(\left(\frac{1}{x \cdot x} \cdot t\_0\right) \cdot t\_0\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-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-neg-revN/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
pow-expN/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
pow-negN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/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
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
frac-timesN/A
metadata-evalN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lift-*.f64100.0
Applied rewrites100.0%
(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) (* (* (* (* t_0 t_0) t_0) t_0) 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((-x * x)))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * 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((-x * x)))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * 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((-x * x)))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + (math.pow(x, -7.0) * 1.875))
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(1.0 / Float64(sqrt(pi) * exp(Float64(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(Float64(Float64(t_0 * t_0) * t_0) * t_0) * 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((-x * x)))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((x ^ -7.0) * 1.875)); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 / N[(N[Sqrt[Pi], $MachinePrecision] * N[Exp[N[((-x) * 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[(N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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|}\\
\frac{1}{\sqrt{\pi} \cdot e^{\left(-x\right) \cdot x}} \cdot \left(\left(\left(t\_0 + \frac{\frac{0.5}{x \cdot x}}{\left|x\right|}\right) + \frac{3}{4} \cdot \left(\left(\left(\left(t\_0 \cdot t\_0\right) \cdot t\_0\right) \cdot t\_0\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-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-neg-revN/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
pow-expN/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
pow-negN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/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
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-/.f64N/A
lift-pow.f64N/A
lift-neg.f64N/A
lift-exp.f64N/A
frac-timesN/A
metadata-evalN/A
lower-/.f64N/A
lower-*.f64N/A
pow-expN/A
lower-exp.f64N/A
lower-*.f64N/A
lift-neg.f64100.0
Applied rewrites100.0%
(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)) t_0) t_0) 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((x * x))) * (((t_0 + ((0.5 / (x * x)) / fabs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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((x * x))) * (((t_0 + ((0.5 / (x * x)) / Math.abs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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((x * x))) * (((t_0 + ((0.5 / (x * x)) / math.fabs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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(x * x))) * Float64(Float64(Float64(t_0 + Float64(Float64(0.5 / Float64(x * x)) / abs(x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(1.0 / Float64(x * x)) * t_0) * t_0) * 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((x * x))) * (((t_0 + ((0.5 / (x * x)) / abs(x))) + ((3.0 / 4.0) * ((((1.0 / (x * x)) * t_0) * t_0) * 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[(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[(N[(N[(1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] * t$95$0), $MachinePrecision] * t$95$0), $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^{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(\left(\left(\frac{1}{x \cdot x} \cdot t\_0\right) \cdot t\_0\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%
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
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrtN/A
frac-timesN/A
metadata-evalN/A
pow2N/A
lower-/.f64N/A
pow2N/A
lift-*.f64100.0
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (+ (pow x -1.0) (* (pow x -7.0) 1.875))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (pow(x, -1.0) + (pow(x, -7.0) * 1.875));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (Math.pow(x, -1.0) + (Math.pow(x, -7.0) * 1.875));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (math.pow(x, -1.0) + (math.pow(x, -7.0) * 1.875))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64((x ^ -1.0) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * ((x ^ -1.0) + ((x ^ -7.0) * 1.875)); 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, -1.0], $MachinePrecision] + N[(N[Power[x, -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \left({x}^{-1} + {x}^{-7} \cdot 1.875\right)
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
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
sqrt-unprodN/A
rem-square-sqrtN/A
lower-pow.f64N/A
metadata-evalN/A
metadata-eval99.5
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ (/ (pow (exp x) x) (sqrt PI)) x))
double code(double x) {
return (pow(exp(x), x) / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / Math.sqrt(Math.PI)) / x;
}
def code(x): return (math.pow(math.exp(x), x) / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64((exp(x) ^ x) / sqrt(pi)) / x) end
function tmp = code(x) tmp = ((exp(x) ^ x) / sqrt(pi)) / x; end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{{\left(e^{x}\right)}^{x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
lift-*.f64N/A
lift-pow.f64N/A
inv-powN/A
lift-exp.f64N/A
lift-pow.f64N/A
pow-expN/A
sqr-abs-revN/A
associate-*l/N/A
lower-/.f64N/A
pow2N/A
lower-*.f64N/A
pow2N/A
sqr-abs-revN/A
pow-expN/A
lift-pow.f64N/A
lift-exp.f6499.5
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ (* (pow (sqrt PI) -1.0) (exp (* x x))) x))
double code(double x) {
return (pow(sqrt(((double) M_PI)), -1.0) * exp((x * x))) / x;
}
public static double code(double x) {
return (Math.pow(Math.sqrt(Math.PI), -1.0) * Math.exp((x * x))) / x;
}
def code(x): return (math.pow(math.sqrt(math.pi), -1.0) * math.exp((x * x))) / x
function code(x) return Float64(Float64((sqrt(pi) ^ -1.0) * exp(Float64(x * x))) / x) end
function tmp = code(x) tmp = ((sqrt(pi) ^ -1.0) * exp((x * x))) / x; end
code[x_] := N[(N[(N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{\pi}\right)}^{-1} \cdot e^{x \cdot x}}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
lift-exp.f64N/A
lift-pow.f64N/A
pow-expN/A
pow2N/A
lower-exp.f64N/A
pow2N/A
lift-*.f6499.5
Applied rewrites99.5%
(FPCore (x) :precision binary64 (/ (* (pow (sqrt PI) -1.0) (pow (+ x 1.0) x)) x))
double code(double x) {
return (pow(sqrt(((double) M_PI)), -1.0) * pow((x + 1.0), x)) / x;
}
public static double code(double x) {
return (Math.pow(Math.sqrt(Math.PI), -1.0) * Math.pow((x + 1.0), x)) / x;
}
def code(x): return (math.pow(math.sqrt(math.pi), -1.0) * math.pow((x + 1.0), x)) / x
function code(x) return Float64(Float64((sqrt(pi) ^ -1.0) * (Float64(x + 1.0) ^ x)) / x) end
function tmp = code(x) tmp = ((sqrt(pi) ^ -1.0) * ((x + 1.0) ^ x)) / x; end
code[x_] := N[(N[(N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision] * N[Power[N[(x + 1.0), $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{\pi}\right)}^{-1} \cdot {\left(x + 1\right)}^{x}}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f6499.3
Applied rewrites99.3%
(FPCore (x) :precision binary64 (/ (* (pow (sqrt PI) -1.0) (fma (fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0) (* x x) 1.0)) x))
double code(double x) {
return (pow(sqrt(((double) M_PI)), -1.0) * fma(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (x * x), 1.0)) / x;
}
function code(x) return Float64(Float64((sqrt(pi) ^ -1.0) * fma(fma(fma(0.16666666666666666, Float64(x * x), 0.5), Float64(x * x), 1.0), Float64(x * x), 1.0)) / x) end
code[x_] := N[(N[(N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $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] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{\pi}\right)}^{-1} \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)}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
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-*.f6483.7
Applied rewrites83.7%
(FPCore (x) :precision binary64 (/ (* (pow (sqrt PI) -1.0) (fma (fma (* x x) 0.5 1.0) (* x x) 1.0)) x))
double code(double x) {
return (pow(sqrt(((double) M_PI)), -1.0) * fma(fma((x * x), 0.5, 1.0), (x * x), 1.0)) / x;
}
function code(x) return Float64(Float64((sqrt(pi) ^ -1.0) * fma(fma(Float64(x * x), 0.5, 1.0), Float64(x * x), 1.0)) / x) end
code[x_] := N[(N[(N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(\sqrt{\pi}\right)}^{-1} \cdot \mathsf{fma}\left(\mathsf{fma}\left(x \cdot x, 0.5, 1\right), x \cdot x, 1\right)}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
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-*.f6475.9
Applied rewrites75.9%
(FPCore (x) :precision binary64 (/ (* (fma x x 1.0) (pow PI -0.5)) x))
double code(double x) {
return (fma(x, x, 1.0) * pow(((double) M_PI), -0.5)) / x;
}
function code(x) return Float64(Float64(fma(x, x, 1.0) * (pi ^ -0.5)) / x) end
code[x_] := N[(N[(N[(x * x + 1.0), $MachinePrecision] * N[Power[Pi, -0.5], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x, x, 1\right) \cdot {\pi}^{-0.5}}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
Taylor expanded in x around 0
distribute-rgt1-inN/A
+-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
pow2N/A
lower-fma.f64N/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
lift-PI.f64N/A
inv-powN/A
lift-PI.f64N/A
lift-sqrt.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-PI.f64N/A
metadata-eval52.5
Applied rewrites52.5%
(FPCore (x) :precision binary64 (/ (pow PI -0.5) x))
double code(double x) {
return pow(((double) M_PI), -0.5) / x;
}
public static double code(double x) {
return Math.pow(Math.PI, -0.5) / x;
}
def code(x): return math.pow(math.pi, -0.5) / x
function code(x) return Float64((pi ^ -0.5) / x) end
function tmp = code(x) tmp = (pi ^ -0.5) / x; end
code[x_] := N[(N[Power[Pi, -0.5], $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\pi}^{-0.5}}{x}
\end{array}
Initial program 100.0%
lift-fabs.f64N/A
rem-sqrt-square-revN/A
sqrt-prodN/A
lower-*.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
inv-powN/A
lower-pow.f6499.5
Applied rewrites99.5%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r/N/A
lower-/.f64N/A
Applied rewrites99.5%
Taylor expanded in x around 0
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
lift-PI.f64N/A
inv-powN/A
lift-PI.f64N/A
lift-sqrt.f64N/A
sqrt-pow2N/A
lower-pow.f64N/A
lift-PI.f64N/A
metadata-eval2.3
Applied rewrites2.3%
herbie shell --seed 2025086
(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)))))))