
(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 (- (fabs x))) (t_1 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp t_0) t_0))
(+
(+
(- t_1 (/ -0.5 (* (* x x) x)))
(* (/ 3.0 4.0) (* (/ -1.0 (* (* x x) (* x x))) (- t_1))))
(* (/ 15.0 8.0) (pow x -7.0))))))
double code(double x) {
double t_0 = -fabs(x);
double t_1 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(t_0), t_0)) * (((t_1 - (-0.5 / ((x * x) * x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_1))) + ((15.0 / 8.0) * pow(x, -7.0)));
}
public static double code(double x) {
double t_0 = -Math.abs(x);
double t_1 = 1.0 / Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(t_0), t_0)) * (((t_1 - (-0.5 / ((x * x) * x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_1))) + ((15.0 / 8.0) * Math.pow(x, -7.0)));
}
def code(x): t_0 = -math.fabs(x) t_1 = 1.0 / math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(t_0), t_0)) * (((t_1 - (-0.5 / ((x * x) * x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_1))) + ((15.0 / 8.0) * math.pow(x, -7.0)))
function code(x) t_0 = Float64(-abs(x)) t_1 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * Float64(Float64(Float64(t_1 - Float64(-0.5 / Float64(Float64(x * x) * x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(-1.0 / Float64(Float64(x * x) * Float64(x * x))) * Float64(-t_1)))) + Float64(Float64(15.0 / 8.0) * (x ^ -7.0)))) end
function tmp = code(x) t_0 = -abs(x); t_1 = 1.0 / abs(x); tmp = ((1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * (((t_1 - (-0.5 / ((x * x) * x))) + ((3.0 / 4.0) * ((-1.0 / ((x * x) * (x * x))) * -t_1))) + ((15.0 / 8.0) * (x ^ -7.0))); end
code[x_] := Block[{t$95$0 = (-N[Abs[x], $MachinePrecision])}, Block[{t$95$1 = N[(1.0 / N[Abs[x], $MachinePrecision]), $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[(N[(t$95$1 - N[(-0.5 / N[(N[(x * x), $MachinePrecision] * 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$1)), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[Power[x, -7.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -\left|x\right|\\
t_1 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{t\_0}\right)}^{t\_0}\right) \cdot \left(\left(\left(t\_1 - \frac{-0.5}{\left(x \cdot x\right) \cdot x}\right) + \frac{3}{4} \cdot \left(\frac{-1}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} \cdot \left(-t\_1\right)\right)\right) + \frac{15}{8} \cdot {x}^{-7}\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%
Taylor expanded in x around 0
pow-flipN/A
metadata-evalN/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrt100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow3N/A
lift-/.f64N/A
lift-fabs.f64N/A
cube-divN/A
metadata-evalN/A
associate-*r/N/A
unpow3N/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-fabs.f64N/A
lift-neg.f64N/A
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
associate-*l*N/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
lift-*.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-fabs.f64N/A
frac-timesN/A
metadata-evalN/A
sqr-abs-revN/A
lift-*.f64N/A
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(/ 1.0 (* (sqrt PI) (exp (* (- x) x))))
(+
(+
(- t_0 (/ -0.5 (* (* x x) x)))
(* (/ 3.0 4.0) (* (* (* (* t_0 t_0) t_0) t_0) t_0)))
(* (/ 15.0 8.0) (pow x -7.0))))))
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * pow(x, -7.0)));
}
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * Math.pow(x, -7.0)));
}
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * math.pow(x, -7.0)))
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(-0.5 / Float64(Float64(x * x) * x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0))) + Float64(Float64(15.0 / 8.0) * (x ^ -7.0)))) 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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * (x ^ -7.0))); 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[(-0.5 / N[(N[(x * x), $MachinePrecision] * 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[(15.0 / 8.0), $MachinePrecision] * N[Power[x, -7.0], $MachinePrecision]), $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{-0.5}{\left(x \cdot x\right) \cdot x}\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) + \frac{15}{8} \cdot {x}^{-7}\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%
Taylor expanded in x around 0
pow-flipN/A
metadata-evalN/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrt100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow3N/A
lift-/.f64N/A
lift-fabs.f64N/A
cube-divN/A
metadata-evalN/A
associate-*r/N/A
unpow3N/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-fabs.f64N/A
lift-neg.f64N/A
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-pow.f64N/A
lift-exp.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
pow-negN/A
frac-timesN/A
metadata-evalN/A
lower-/.f64N/A
lower-*.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(+
(- t_0 (/ -0.5 (* (* x x) x)))
(* (/ 3.0 4.0) (* (* (* (* t_0 t_0) t_0) t_0) t_0)))
(* (/ 15.0 8.0) (pow x -7.0))))))
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * pow(x, -7.0)));
}
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * Math.pow(x, -7.0)));
}
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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * math.pow(x, -7.0)))
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(-0.5 / Float64(Float64(x * x) * x))) + Float64(Float64(3.0 / 4.0) * Float64(Float64(Float64(Float64(t_0 * t_0) * t_0) * t_0) * t_0))) + Float64(Float64(15.0 / 8.0) * (x ^ -7.0)))) 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) * x))) + ((3.0 / 4.0) * ((((t_0 * t_0) * t_0) * t_0) * t_0))) + ((15.0 / 8.0) * (x ^ -7.0))); 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[(-0.5 / N[(N[(x * x), $MachinePrecision] * 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[(15.0 / 8.0), $MachinePrecision] * N[Power[x, -7.0], $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{-0.5}{\left(x \cdot x\right) \cdot x}\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) + \frac{15}{8} \cdot {x}^{-7}\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%
Taylor expanded in x around 0
pow-flipN/A
metadata-evalN/A
lift-pow.f64N/A
rem-sqrt-square-revN/A
sqrt-unprodN/A
rem-square-sqrt100.0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow3N/A
lift-/.f64N/A
lift-fabs.f64N/A
cube-divN/A
metadata-evalN/A
associate-*r/N/A
unpow3N/A
sqr-abs-revN/A
pow2N/A
frac-timesN/A
frac-2negN/A
metadata-evalN/A
lift-fabs.f64N/A
lift-neg.f64N/A
Applied rewrites100.0%
lift-pow.f64N/A
lift-exp.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
pow-to-expN/A
exp-prodN/A
exp-negN/A
log-recN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
rem-log-expN/A
lift-neg.f64N/A
lift-fabs.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(pow x -1.0)
(* (/ 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))) * (pow(x, -1.0) + ((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))) * (Math.pow(x, -1.0) + ((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))) * (math.pow(x, -1.0) + ((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((x ^ -1.0) + 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))) * ((x ^ -1.0) + ((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[Power[x, -1.0], $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({x}^{-1} + \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-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
Applied rewrites99.1%
Final simplification99.1%
(FPCore (x) :precision binary64 (* (/ (pow (exp x) x) x) (pow (sqrt PI) -1.0)))
double code(double x) {
return (pow(exp(x), x) / x) * pow(sqrt(((double) M_PI)), -1.0);
}
public static double code(double x) {
return (Math.pow(Math.exp(x), x) / x) * Math.pow(Math.sqrt(Math.PI), -1.0);
}
def code(x): return (math.pow(math.exp(x), x) / x) * math.pow(math.sqrt(math.pi), -1.0)
function code(x) return Float64(Float64((exp(x) ^ x) / x) * (sqrt(pi) ^ -1.0)) end
function tmp = code(x) tmp = ((exp(x) ^ x) / x) * (sqrt(pi) ^ -1.0); end
code[x_] := N[(N[(N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision] / x), $MachinePrecision] * N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(e^{x}\right)}^{x}}{x} \cdot {\left(\sqrt{\pi}\right)}^{-1}
\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
Applied rewrites99.1%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* x x))) (pow x -1.0)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * pow(x, -1.0);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * Math.pow(x, -1.0);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * math.pow(x, -1.0)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * (x ^ -1.0)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (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[Power[x, -1.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{x \cdot x}\right) \cdot {x}^{-1}
\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
Applied rewrites99.1%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
lift-*.f6499.1
Applied rewrites99.1%
(FPCore (x) :precision binary64 (* (/ (pow (+ x 1.0) x) x) (pow (sqrt PI) -1.0)))
double code(double x) {
return (pow((x + 1.0), x) / x) * pow(sqrt(((double) M_PI)), -1.0);
}
public static double code(double x) {
return (Math.pow((x + 1.0), x) / x) * Math.pow(Math.sqrt(Math.PI), -1.0);
}
def code(x): return (math.pow((x + 1.0), x) / x) * math.pow(math.sqrt(math.pi), -1.0)
function code(x) return Float64(Float64((Float64(x + 1.0) ^ x) / x) * (sqrt(pi) ^ -1.0)) end
function tmp = code(x) tmp = (((x + 1.0) ^ x) / x) * (sqrt(pi) ^ -1.0); end
code[x_] := N[(N[(N[Power[N[(x + 1.0), $MachinePrecision], x], $MachinePrecision] / x), $MachinePrecision] * N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{{\left(x + 1\right)}^{x}}{x} \cdot {\left(\sqrt{\pi}\right)}^{-1}
\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
Applied rewrites99.1%
Taylor expanded in x around 0
+-commutativeN/A
lower-+.f6499.0
Applied rewrites99.0%
(FPCore (x) :precision binary64 (* (/ (fma (fma (fma (* 0.16666666666666666 x) x 0.5) (* x x) 1.0) (* x x) 1.0) x) (pow (sqrt PI) -1.0)))
double code(double x) {
return (fma(fma(fma((0.16666666666666666 * x), x, 0.5), (x * x), 1.0), (x * x), 1.0) / x) * pow(sqrt(((double) M_PI)), -1.0);
}
function code(x) return Float64(Float64(fma(fma(fma(Float64(0.16666666666666666 * x), x, 0.5), Float64(x * x), 1.0), Float64(x * x), 1.0) / x) * (sqrt(pi) ^ -1.0)) end
code[x_] := N[(N[(N[(N[(N[(N[(0.16666666666666666 * x), $MachinePrecision] * x + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] * N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.16666666666666666 \cdot x, x, 0.5\right), x \cdot x, 1\right), x \cdot x, 1\right)}{x} \cdot {\left(\sqrt{\pi}\right)}^{-1}
\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
Applied rewrites99.1%
Taylor expanded in x around 0
Applied rewrites82.9%
(FPCore (x) :precision binary64 (* (/ (fma (fma 0.5 (* x x) 1.0) (* x x) 1.0) x) (pow (sqrt PI) -1.0)))
double code(double x) {
return (fma(fma(0.5, (x * x), 1.0), (x * x), 1.0) / x) * pow(sqrt(((double) M_PI)), -1.0);
}
function code(x) return Float64(Float64(fma(fma(0.5, Float64(x * x), 1.0), Float64(x * x), 1.0) / x) * (sqrt(pi) ^ -1.0)) end
code[x_] := N[(N[(N[(N[(0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] * N[Power[N[Sqrt[Pi], $MachinePrecision], -1.0], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5, x \cdot x, 1\right), x \cdot x, 1\right)}{x} \cdot {\left(\sqrt{\pi}\right)}^{-1}
\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
Applied rewrites99.1%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
+-commutativeN/A
pow2N/A
lift-*.f64N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
pow2N/A
lift-*.f64N/A
lower-fma.f64N/A
metadata-eval74.7
Applied rewrites74.7%
(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
Applied rewrites99.1%
Taylor expanded in x around 0
lower-/.f64N/A
Applied rewrites48.6%
(FPCore (x) :precision binary64 (pow (* x (sqrt PI)) -1.0))
double code(double x) {
return pow((x * sqrt(((double) M_PI))), -1.0);
}
public static double code(double x) {
return Math.pow((x * Math.sqrt(Math.PI)), -1.0);
}
def code(x): return math.pow((x * math.sqrt(math.pi)), -1.0)
function code(x) return Float64(x * sqrt(pi)) ^ -1.0 end
function tmp = code(x) tmp = (x * sqrt(pi)) ^ -1.0; end
code[x_] := N[Power[N[(x * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision], -1.0], $MachinePrecision]
\begin{array}{l}
\\
{\left(x \cdot \sqrt{\pi}\right)}^{-1}
\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
Applied rewrites99.1%
Taylor expanded in x around 0
inv-powN/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
lift-PI.f64N/A
inv-powN/A
pow-prod-downN/A
lower-pow.f64N/A
lower-*.f642.4
Applied rewrites2.4%
herbie shell --seed 2025060
(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)))))))