
(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 12 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 (* (* x x) x)) (t_1 (- (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp t_1) t_1))
(+
(+ (/ 0.5 t_0) (- (/ 1.0 x) (/ -0.75 (* (* t_0 x) x))))
(* (pow x -7.0) 1.875)))))
double code(double x) {
double t_0 = (x * x) * x;
double t_1 = -fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(t_1), t_1)) * (((0.5 / t_0) + ((1.0 / x) - (-0.75 / ((t_0 * x) * x)))) + (pow(x, -7.0) * 1.875));
}
public static double code(double x) {
double t_0 = (x * x) * x;
double t_1 = -Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(t_1), t_1)) * (((0.5 / t_0) + ((1.0 / x) - (-0.75 / ((t_0 * x) * x)))) + (Math.pow(x, -7.0) * 1.875));
}
def code(x): t_0 = (x * x) * x t_1 = -math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(t_1), t_1)) * (((0.5 / t_0) + ((1.0 / x) - (-0.75 / ((t_0 * x) * x)))) + (math.pow(x, -7.0) * 1.875))
function code(x) t_0 = Float64(Float64(x * x) * x) t_1 = Float64(-abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(t_1) ^ t_1)) * Float64(Float64(Float64(0.5 / t_0) + Float64(Float64(1.0 / x) - Float64(-0.75 / Float64(Float64(t_0 * x) * x)))) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) t_0 = (x * x) * x; t_1 = -abs(x); tmp = ((1.0 / sqrt(pi)) * (exp(t_1) ^ t_1)) * (((0.5 / t_0) + ((1.0 / x) - (-0.75 / ((t_0 * x) * x)))) + ((x ^ -7.0) * 1.875)); end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, Block[{t$95$1 = (-N[Abs[x], $MachinePrecision])}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[t$95$1], $MachinePrecision], t$95$1], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.5 / t$95$0), $MachinePrecision] + N[(N[(1.0 / x), $MachinePrecision] - N[(-0.75 / N[(N[(t$95$0 * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Power[x, -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
t_1 := -\left|x\right|\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{t\_1}\right)}^{t\_1}\right) \cdot \left(\left(\frac{0.5}{t\_0} + \left(\frac{1}{x} - \frac{-0.75}{\left(t\_0 \cdot x\right) \cdot x}\right)\right) + {x}^{-7} \cdot 1.875\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-neg-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lift-fabs.f64N/A
lower-neg.f64N/A
lift-fabs.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
mult-flipN/A
*-commutativeN/A
pow-flipN/A
metadata-evalN/A
sqr-powN/A
pow-prod-downN/A
sqr-abs-revN/A
pow-prod-downN/A
sqr-powN/A
lift-pow.f64N/A
lower-*.f64N/A
metadata-eval100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (- (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp t_0) t_0))
(fma
(pow x -7.0)
1.875
(- (/ (- (- (/ (+ (/ 0.75 (* x x)) 0.5) (* x x))) 1.0) x))))))
double code(double x) {
double t_0 = -fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(t_0), t_0)) * fma(pow(x, -7.0), 1.875, -((-(((0.75 / (x * x)) + 0.5) / (x * x)) - 1.0) / x));
}
function code(x) t_0 = Float64(-abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * fma((x ^ -7.0), 1.875, Float64(-Float64(Float64(Float64(-Float64(Float64(Float64(0.75 / Float64(x * x)) + 0.5) / Float64(x * x))) - 1.0) / x)))) end
code[x_] := Block[{t$95$0 = (-N[Abs[x], $MachinePrecision])}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[t$95$0], $MachinePrecision], t$95$0], $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -7.0], $MachinePrecision] * 1.875 + (-N[(N[((-N[(N[(N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision]) - 1.0), $MachinePrecision] / x), $MachinePrecision])), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -\left|x\right|\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{t\_0}\right)}^{t\_0}\right) \cdot \mathsf{fma}\left({x}^{-7}, 1.875, -\frac{\left(-\frac{\frac{0.75}{x \cdot x} + 0.5}{x \cdot x}\right) - 1}{x}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-neg-revN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lift-fabs.f64N/A
lower-neg.f64N/A
lift-fabs.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (fma (pow x -7.0) 1.875 (- (/ (- (- (/ (+ (/ 0.75 (* (* x x) x)) (/ 0.5 x)) x)) 1.0) x)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * fma(pow(x, -7.0), 1.875, -((-(((0.75 / ((x * x) * x)) + (0.5 / x)) / x) - 1.0) / x));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * fma((x ^ -7.0), 1.875, Float64(-Float64(Float64(Float64(-Float64(Float64(Float64(0.75 / Float64(Float64(x * x) * x)) + Float64(0.5 / x)) / x)) - 1.0) / x)))) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Power[x, -7.0], $MachinePrecision] * 1.875 + (-N[(N[((-N[(N[(N[(0.75 / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] + N[(0.5 / x), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]) - 1.0), $MachinePrecision] / x), $MachinePrecision])), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \mathsf{fma}\left({x}^{-7}, 1.875, -\frac{\left(-\frac{\frac{0.75}{\left(x \cdot x\right) \cdot x} + \frac{0.5}{x}}{x}\right) - 1}{x}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around -inf
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(-
(/ 1.0 x)
(- (/ -0.5 t_0) (/ (+ (/ 1.875 (* x x)) 0.75) (* t_0 (* x x))))))))
double code(double x) {
double t_0 = (x * x) * x;
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * ((1.0 / x) - ((-0.5 / t_0) - (((1.875 / (x * x)) + 0.75) / (t_0 * (x * x)))));
}
public static double code(double x) {
double t_0 = (x * x) * x;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * ((1.0 / x) - ((-0.5 / t_0) - (((1.875 / (x * x)) + 0.75) / (t_0 * (x * x)))));
}
def code(x): t_0 = (x * x) * x return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * ((1.0 / x) - ((-0.5 / t_0) - (((1.875 / (x * x)) + 0.75) / (t_0 * (x * x)))))
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(1.0 / x) - Float64(Float64(-0.5 / t_0) - Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(t_0 * Float64(x * x)))))) end
function tmp = code(x) t_0 = (x * x) * x; tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * ((1.0 / x) - ((-0.5 / t_0) - (((1.875 / (x * x)) + 0.75) / (t_0 * (x * x))))); end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - N[(N[(-0.5 / t$95$0), $MachinePrecision] - N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot \left(\frac{1}{x} - \left(\frac{-0.5}{t\_0} - \frac{\frac{1.875}{x \cdot x} + 0.75}{t\_0 \cdot \left(x \cdot x\right)}\right)\right)
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
pow2N/A
lift-*.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-prod-upN/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (+ (/ (- 1.0 (/ -0.5 (* x x))) x) (/ (+ (/ 1.875 (* x x)) 0.75) (* (* (* (* x x) x) x) x)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((1.0 - (-0.5 / (x * x))) / x) + (((1.875 / (x * x)) + 0.75) / ((((x * x) * x) * x) * x)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((1.0 - (-0.5 / (x * x))) / x) + (((1.875 / (x * x)) + 0.75) / ((((x * x) * x) * x) * x)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((1.0 - (-0.5 / (x * x))) / x) + (((1.875 / (x * x)) + 0.75) / ((((x * x) * x) * x) * x)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(1.0 - Float64(-0.5 / Float64(x * x))) / x) + Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(Float64(Float64(Float64(x * x) * x) * x) * x)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((1.0 - (-0.5 / (x * x))) / x) + (((1.875 / (x * x)) + 0.75) / ((((x * x) * x) * x) * x))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 - N[(-0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision] + N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1 - \frac{-0.5}{x \cdot x}}{x} + \frac{\frac{1.875}{x \cdot x} + 0.75}{\left(\left(\left(x \cdot x\right) \cdot x\right) \cdot x\right) \cdot x}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
pow2N/A
lift-*.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-prod-upN/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x) :precision binary64 (/ (* (exp (* x x)) (- (/ 1.0 x) (/ (fma -0.5 x (/ -0.75 x)) (* (* (* x x) x) x)))) (sqrt PI)))
double code(double x) {
return (exp((x * x)) * ((1.0 / x) - (fma(-0.5, x, (-0.75 / x)) / (((x * x) * x) * x)))) / sqrt(((double) M_PI));
}
function code(x) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(1.0 / x) - Float64(fma(-0.5, x, Float64(-0.75 / x)) / Float64(Float64(Float64(x * x) * x) * x)))) / sqrt(pi)) end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - N[(N[(-0.5 * x + N[(-0.75 / x), $MachinePrecision]), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \left(\frac{1}{x} - \frac{\mathsf{fma}\left(-0.5, x, \frac{-0.75}{x}\right)}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (- (/ 1.0 x) (- (/ (+ (/ 0.75 (* x x)) 0.5) (* (* x x) x))))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / x) - -(((0.75 / (x * x)) + 0.5) / ((x * x) * x)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / x) - -(((0.75 / (x * x)) + 0.5) / ((x * x) * x)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / x) - -(((0.75 / (x * x)) + 0.5) / ((x * x) * x)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / x) - Float64(-Float64(Float64(Float64(0.75 / Float64(x * x)) + 0.5) / Float64(Float64(x * x) * x))))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / x) - -(((0.75 / (x * x)) + 0.5) / ((x * x) * x))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - (-N[(N[(N[(0.75 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision])), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{x} - \left(-\frac{\frac{0.75}{x \cdot x} + 0.5}{\left(x \cdot x\right) \cdot x}\right)\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around inf
metadata-evalN/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
pow2N/A
lift-*.f64N/A
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (- (/ 1.0 x) (/ -0.5 (* (* x x) x)))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * ((1.0 / x) - (-0.5 / ((x * x) * x)));
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((1.0 / x) - (-0.5 / ((x * x) * x)));
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * ((1.0 / x) - (-0.5 / ((x * x) * x)))
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(1.0 / x) - Float64(-0.5 / Float64(Float64(x * x) * x)))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * ((1.0 / x) - (-0.5 / ((x * x) * x))); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(1.0 / x), $MachinePrecision] - N[(-0.5 / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{1}{x} - \frac{-0.5}{\left(x \cdot x\right) \cdot x}\right)
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
Taylor expanded in x around inf
lower-/.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f6499.6
Applied rewrites99.6%
(FPCore (x) :precision binary64 (/ (/ (exp (* x x)) (sqrt PI)) x))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) / x;
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / x) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) / x; end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in x around inf
pow2N/A
sqr-abs-revN/A
pow2N/A
associate-*l/N/A
*-commutativeN/A
lower-/.f64N/A
Applied rewrites99.6%
(FPCore (x) :precision binary64 (/ (exp (* x x)) (* x (sqrt PI))))
double code(double x) {
return exp((x * x)) / (x * sqrt(((double) M_PI)));
}
public static double code(double x) {
return Math.exp((x * x)) / (x * Math.sqrt(Math.PI));
}
def code(x): return math.exp((x * x)) / (x * math.sqrt(math.pi))
function code(x) return Float64(exp(Float64(x * x)) / Float64(x * sqrt(pi))) end
function tmp = code(x) tmp = exp((x * x)) / (x * sqrt(pi)); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{x \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in x around inf
pow2N/A
sqr-abs-revN/A
pow2N/A
associate-*l/N/A
*-commutativeN/A
lower-/.f64N/A
Applied rewrites99.6%
lift-/.f64N/A
lift-/.f64N/A
lift-exp.f64N/A
lift-*.f64N/A
associate-/l/N/A
sqr-abs-revN/A
pow2N/A
*-commutativeN/A
lift-PI.f64N/A
lift-sqrt.f64N/A
Applied rewrites99.5%
(FPCore (x) :precision binary64 (/ (/ (fma x x 1.0) (sqrt PI)) x))
double code(double x) {
return (fma(x, x, 1.0) / sqrt(((double) M_PI))) / x;
}
function code(x) return Float64(Float64(fma(x, x, 1.0) / sqrt(pi)) / x) end
code[x_] := N[(N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in x around inf
pow2N/A
sqr-abs-revN/A
pow2N/A
associate-*l/N/A
*-commutativeN/A
lower-/.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
sqr-abs-revN/A
+-commutativeN/A
pow2N/A
lower-fma.f6452.8
Applied rewrites52.8%
(FPCore (x) :precision binary64 (/ (/ 1.0 (sqrt PI)) x))
double code(double x) {
return (1.0 / sqrt(((double) M_PI))) / x;
}
public static double code(double x) {
return (1.0 / Math.sqrt(Math.PI)) / x;
}
def code(x): return (1.0 / math.sqrt(math.pi)) / x
function code(x) return Float64(Float64(1.0 / sqrt(pi)) / x) end
function tmp = code(x) tmp = (1.0 / sqrt(pi)) / x; end
code[x_] := N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{1}{\sqrt{\pi}}}{x}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.6%
Taylor expanded in x around inf
pow2N/A
sqr-abs-revN/A
pow2N/A
associate-*l/N/A
*-commutativeN/A
lower-/.f64N/A
Applied rewrites99.6%
Taylor expanded in x around 0
sqr-abs-rev2.3
Applied rewrites2.3%
herbie shell --seed 2025120
(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)))))))