
(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 15 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) (* (fabs x) x))))
(/
(*
(+
(/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))
(+ (/ 1.875 (* t_0 (* x x))) (/ 0.75 t_0)))
(pow (exp x) x))
(sqrt PI))))
double code(double x) {
double t_0 = ((x * x) * x) * (fabs(x) * x);
return (((((0.5 / (x * x)) + 1.0) / fabs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0))) * pow(exp(x), x)) / sqrt(((double) M_PI));
}
public static double code(double x) {
double t_0 = ((x * x) * x) * (Math.abs(x) * x);
return (((((0.5 / (x * x)) + 1.0) / Math.abs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0))) * Math.pow(Math.exp(x), x)) / Math.sqrt(Math.PI);
}
def code(x): t_0 = ((x * x) * x) * (math.fabs(x) * x) return (((((0.5 / (x * x)) + 1.0) / math.fabs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0))) * math.pow(math.exp(x), x)) / math.sqrt(math.pi)
function code(x) t_0 = Float64(Float64(Float64(x * x) * x) * Float64(abs(x) * x)) return Float64(Float64(Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) + Float64(Float64(1.875 / Float64(t_0 * Float64(x * x))) + Float64(0.75 / t_0))) * (exp(x) ^ x)) / sqrt(pi)) end
function tmp = code(x) t_0 = ((x * x) * x) * (abs(x) * x); tmp = (((((0.5 / (x * x)) + 1.0) / abs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0))) * (exp(x) ^ x)) / sqrt(pi); end
code[x_] := Block[{t$95$0 = N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(1.875 / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.75 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left(x \cdot x\right) \cdot x\right) \cdot \left(\left|x\right| \cdot x\right)\\
\frac{\left(\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|} + \left(\frac{1.875}{t\_0 \cdot \left(x \cdot x\right)} + \frac{0.75}{t\_0}\right)\right) \cdot {\left(e^{x}\right)}^{x}}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
associate-*l/N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/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 (* (* (fabs x) x) x)))
(/
(+
(/ 1.875 (* (* (* (* x x) x) x) t_0))
(+ (/ 0.75 (* t_0 (* x x))) (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))))
(* (exp (* (- x) x)) (sqrt PI)))))
double code(double x) {
double t_0 = (fabs(x) * x) * x;
return ((1.875 / ((((x * x) * x) * x) * t_0)) + ((0.75 / (t_0 * (x * x))) + (((0.5 / (x * x)) + 1.0) / fabs(x)))) / (exp((-x * x)) * sqrt(((double) M_PI)));
}
public static double code(double x) {
double t_0 = (Math.abs(x) * x) * x;
return ((1.875 / ((((x * x) * x) * x) * t_0)) + ((0.75 / (t_0 * (x * x))) + (((0.5 / (x * x)) + 1.0) / Math.abs(x)))) / (Math.exp((-x * x)) * Math.sqrt(Math.PI));
}
def code(x): t_0 = (math.fabs(x) * x) * x return ((1.875 / ((((x * x) * x) * x) * t_0)) + ((0.75 / (t_0 * (x * x))) + (((0.5 / (x * x)) + 1.0) / math.fabs(x)))) / (math.exp((-x * x)) * math.sqrt(math.pi))
function code(x) t_0 = Float64(Float64(abs(x) * x) * x) return Float64(Float64(Float64(1.875 / Float64(Float64(Float64(Float64(x * x) * x) * x) * t_0)) + Float64(Float64(0.75 / Float64(t_0 * Float64(x * x))) + Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)))) / Float64(exp(Float64(Float64(-x) * x)) * sqrt(pi))) end
function tmp = code(x) t_0 = (abs(x) * x) * x; tmp = ((1.875 / ((((x * x) * x) * x) * t_0)) + ((0.75 / (t_0 * (x * x))) + (((0.5 / (x * x)) + 1.0) / abs(x)))) / (exp((-x * x)) * sqrt(pi)); end
code[x_] := Block[{t$95$0 = N[(N[(N[Abs[x], $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(N[(1.875 / N[(N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(0.75 / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot x\right) \cdot x\\
\frac{\frac{1.875}{\left(\left(\left(x \cdot x\right) \cdot x\right) \cdot x\right) \cdot t\_0} + \left(\frac{0.75}{t\_0 \cdot \left(x \cdot x\right)} + \frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|}\right)}{e^{\left(-x\right) \cdot x} \cdot \sqrt{\pi}}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
associate-*l/N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (* x x) x) (* (fabs x) x))))
(/
(*
(exp (* x x))
(+
(/ (+ (/ 0.5 (* x x)) 1.0) (fabs x))
(+ (/ 1.875 (* t_0 (* x x))) (/ 0.75 t_0))))
(sqrt PI))))
double code(double x) {
double t_0 = ((x * x) * x) * (fabs(x) * x);
return (exp((x * x)) * ((((0.5 / (x * x)) + 1.0) / fabs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0)))) / sqrt(((double) M_PI));
}
public static double code(double x) {
double t_0 = ((x * x) * x) * (Math.abs(x) * x);
return (Math.exp((x * x)) * ((((0.5 / (x * x)) + 1.0) / Math.abs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0)))) / Math.sqrt(Math.PI);
}
def code(x): t_0 = ((x * x) * x) * (math.fabs(x) * x) return (math.exp((x * x)) * ((((0.5 / (x * x)) + 1.0) / math.fabs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0)))) / math.sqrt(math.pi)
function code(x) t_0 = Float64(Float64(Float64(x * x) * x) * Float64(abs(x) * x)) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) + Float64(Float64(1.875 / Float64(t_0 * Float64(x * x))) + Float64(0.75 / t_0)))) / sqrt(pi)) end
function tmp = code(x) t_0 = ((x * x) * x) * (abs(x) * x); tmp = (exp((x * x)) * ((((0.5 / (x * x)) + 1.0) / abs(x)) + ((1.875 / (t_0 * (x * x))) + (0.75 / t_0)))) / sqrt(pi); end
code[x_] := Block[{t$95$0 = N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * N[(N[Abs[x], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(1.875 / N[(t$95$0 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.75 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left(x \cdot x\right) \cdot x\right) \cdot \left(\left|x\right| \cdot x\right)\\
\frac{e^{x \cdot x} \cdot \left(\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|} + \left(\frac{1.875}{t\_0 \cdot \left(x \cdot x\right)} + \frac{0.75}{t\_0}\right)\right)}{\sqrt{\pi}}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
associate-*l/N/A
Applied rewrites100.0%
Final simplification100.0%
(FPCore (x) :precision binary64 (/ (* (+ (+ (/ 0.75 (* (* x x) (* x x))) 1.0) (/ 0.5 (* x x))) (/ (exp (* x x)) (fabs x))) (sqrt PI)))
double code(double x) {
return ((((0.75 / ((x * x) * (x * x))) + 1.0) + (0.5 / (x * x))) * (exp((x * x)) / fabs(x))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return ((((0.75 / ((x * x) * (x * x))) + 1.0) + (0.5 / (x * x))) * (Math.exp((x * x)) / Math.abs(x))) / Math.sqrt(Math.PI);
}
def code(x): return ((((0.75 / ((x * x) * (x * x))) + 1.0) + (0.5 / (x * x))) * (math.exp((x * x)) / math.fabs(x))) / math.sqrt(math.pi)
function code(x) return Float64(Float64(Float64(Float64(Float64(0.75 / Float64(Float64(x * x) * Float64(x * x))) + 1.0) + Float64(0.5 / Float64(x * x))) * Float64(exp(Float64(x * x)) / abs(x))) / sqrt(pi)) end
function tmp = code(x) tmp = ((((0.75 / ((x * x) * (x * x))) + 1.0) + (0.5 / (x * x))) * (exp((x * x)) / abs(x))) / sqrt(pi); end
code[x_] := N[(N[(N[(N[(N[(0.75 / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left(\left(\frac{0.75}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} + 1\right) + \frac{0.5}{x \cdot x}\right) \cdot \frac{e^{x \cdot x}}{\left|x\right|}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
lift-*.f64N/A
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
associate-*l/N/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-*.f64N/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around inf
+-commutativeN/A
associate-*r/N/A
times-fracN/A
unpow2N/A
sqr-absN/A
unpow2N/A
unpow2N/A
sqr-absN/A
unpow2N/A
distribute-lft1-inN/A
associate-*r/N/A
times-fracN/A
Applied rewrites99.6%
Final simplification99.6%
(FPCore (x) :precision binary64 (/ (/ (+ (/ 0.5 (* x x)) 1.0) (fabs x)) (* (exp (* (- x) x)) (sqrt PI))))
double code(double x) {
return (((0.5 / (x * x)) + 1.0) / fabs(x)) / (exp((-x * x)) * sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((0.5 / (x * x)) + 1.0) / Math.abs(x)) / (Math.exp((-x * x)) * Math.sqrt(Math.PI));
}
def code(x): return (((0.5 / (x * x)) + 1.0) / math.fabs(x)) / (math.exp((-x * x)) * math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / abs(x)) / Float64(exp(Float64(Float64(-x) * x)) * sqrt(pi))) end
function tmp = code(x) tmp = (((0.5 / (x * x)) + 1.0) / abs(x)) / (exp((-x * x)) * sqrt(pi)); end
code[x_] := N[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision] / N[(N[Exp[N[((-x) * x), $MachinePrecision]], $MachinePrecision] * N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{\frac{0.5}{x \cdot x} + 1}{\left|x\right|}}{e^{\left(-x\right) \cdot x} \cdot \sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
Applied rewrites99.5%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x) :precision binary64 (/ (* (/ (exp (* x x)) (sqrt PI)) (+ (/ 0.5 (* x x)) 1.0)) (fabs x)))
double code(double x) {
return ((exp((x * x)) / sqrt(((double) M_PI))) * ((0.5 / (x * x)) + 1.0)) / fabs(x);
}
public static double code(double x) {
return ((Math.exp((x * x)) / Math.sqrt(Math.PI)) * ((0.5 / (x * x)) + 1.0)) / Math.abs(x);
}
def code(x): return ((math.exp((x * x)) / math.sqrt(math.pi)) * ((0.5 / (x * x)) + 1.0)) / math.fabs(x)
function code(x) return Float64(Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(0.5 / Float64(x * x)) + 1.0)) / abs(x)) end
function tmp = code(x) tmp = ((exp((x * x)) / sqrt(pi)) * ((0.5 / (x * x)) + 1.0)) / abs(x); end
code[x_] := N[(N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \left(\frac{0.5}{x \cdot x} + 1\right)}{\left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
Applied rewrites99.5%
(FPCore (x) :precision binary64 (/ (* (exp (* x x)) (+ (/ 0.5 (* x x)) 1.0)) (* (sqrt PI) (fabs x))))
double code(double x) {
return (exp((x * x)) * ((0.5 / (x * x)) + 1.0)) / (sqrt(((double) M_PI)) * fabs(x));
}
public static double code(double x) {
return (Math.exp((x * x)) * ((0.5 / (x * x)) + 1.0)) / (Math.sqrt(Math.PI) * Math.abs(x));
}
def code(x): return (math.exp((x * x)) * ((0.5 / (x * x)) + 1.0)) / (math.sqrt(math.pi) * math.fabs(x))
function code(x) return Float64(Float64(exp(Float64(x * x)) * Float64(Float64(0.5 / Float64(x * x)) + 1.0)) / Float64(sqrt(pi) * abs(x))) end
function tmp = code(x) tmp = (exp((x * x)) * ((0.5 / (x * x)) + 1.0)) / (sqrt(pi) * abs(x)); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x} \cdot \left(\frac{0.5}{x \cdot x} + 1\right)}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
Applied rewrites99.5%
Final simplification99.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (fma 0.16666666666666666 (* x x) 0.5)) (t_1 (* t_0 x)))
(if (<= (fabs x) 2e+77)
(*
(fma
(/ (fma (* t_1 t_1) (* x x) -1.0) (fma t_0 (* x x) -1.0))
(* x x)
1.0)
(/ (sqrt (/ 1.0 PI)) (fabs x)))
(/ (fma (fma 0.5 (* x x) 1.0) (* x x) 1.0) (* (sqrt PI) (fabs x))))))
double code(double x) {
double t_0 = fma(0.16666666666666666, (x * x), 0.5);
double t_1 = t_0 * x;
double tmp;
if (fabs(x) <= 2e+77) {
tmp = fma((fma((t_1 * t_1), (x * x), -1.0) / fma(t_0, (x * x), -1.0)), (x * x), 1.0) * (sqrt((1.0 / ((double) M_PI))) / fabs(x));
} else {
tmp = fma(fma(0.5, (x * x), 1.0), (x * x), 1.0) / (sqrt(((double) M_PI)) * fabs(x));
}
return tmp;
}
function code(x) t_0 = fma(0.16666666666666666, Float64(x * x), 0.5) t_1 = Float64(t_0 * x) tmp = 0.0 if (abs(x) <= 2e+77) tmp = Float64(fma(Float64(fma(Float64(t_1 * t_1), Float64(x * x), -1.0) / fma(t_0, Float64(x * x), -1.0)), Float64(x * x), 1.0) * Float64(sqrt(Float64(1.0 / pi)) / abs(x))); else tmp = Float64(fma(fma(0.5, Float64(x * x), 1.0), Float64(x * x), 1.0) / Float64(sqrt(pi) * abs(x))); end return tmp end
code[x_] := Block[{t$95$0 = N[(0.16666666666666666 * N[(x * x), $MachinePrecision] + 0.5), $MachinePrecision]}, Block[{t$95$1 = N[(t$95$0 * x), $MachinePrecision]}, If[LessEqual[N[Abs[x], $MachinePrecision], 2e+77], N[(N[(N[(N[(N[(t$95$1 * t$95$1), $MachinePrecision] * N[(x * x), $MachinePrecision] + -1.0), $MachinePrecision] / N[(t$95$0 * N[(x * x), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[Sqrt[N[(1.0 / Pi), $MachinePrecision]], $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \mathsf{fma}\left(0.16666666666666666, x \cdot x, 0.5\right)\\
t_1 := t\_0 \cdot x\\
\mathbf{if}\;\left|x\right| \leq 2 \cdot 10^{+77}:\\
\;\;\;\;\mathsf{fma}\left(\frac{\mathsf{fma}\left(t\_1 \cdot t\_1, x \cdot x, -1\right)}{\mathsf{fma}\left(t\_0, x \cdot x, -1\right)}, x \cdot x, 1\right) \cdot \frac{\sqrt{\frac{1}{\pi}}}{\left|x\right|}\\
\mathbf{else}:\\
\;\;\;\;\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5, x \cdot x, 1\right), x \cdot x, 1\right)}{\sqrt{\pi} \cdot \left|x\right|}\\
\end{array}
\end{array}
if (fabs.f64 x) < 1.99999999999999997e77Initial program 99.8%
Applied rewrites99.8%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6497.9
Applied rewrites97.9%
Taylor expanded in x around 0
Applied rewrites37.0%
Applied rewrites49.4%
if 1.99999999999999997e77 < (fabs.f64 x) Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f64100.0
Applied rewrites100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Final simplification86.6%
(FPCore (x) :precision binary64 (/ (/ (exp (* x x)) (sqrt PI)) (fabs x)))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) / fabs(x);
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) / Math.abs(x);
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) / math.fabs(x)
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) / abs(x)) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) / abs(x); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{e^{x \cdot x}}{\sqrt{\pi}}}{\left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
(FPCore (x) :precision binary64 (/ (exp (* x x)) (* (sqrt PI) (fabs x))))
double code(double x) {
return exp((x * x)) / (sqrt(((double) M_PI)) * fabs(x));
}
public static double code(double x) {
return Math.exp((x * x)) / (Math.sqrt(Math.PI) * Math.abs(x));
}
def code(x): return math.exp((x * x)) / (math.sqrt(math.pi) * math.fabs(x))
function code(x) return Float64(exp(Float64(x * x)) / Float64(sqrt(pi) * abs(x))) end
function tmp = code(x) tmp = exp((x * x)) / (sqrt(pi) * abs(x)); end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Final simplification99.4%
(FPCore (x)
:precision binary64
(/
(*
(/
(fma (fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0) (* x x) 1.0)
(sqrt PI))
(+ (/ 0.5 (* x x)) 1.0))
(fabs x)))
double code(double x) {
return ((fma(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (x * x), 1.0) / sqrt(((double) M_PI))) * ((0.5 / (x * x)) + 1.0)) / fabs(x);
}
function code(x) return Float64(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(0.5 / Float64(x * x)) + 1.0)) / abs(x)) end
code[x_] := N[(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[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\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(\frac{0.5}{x \cdot x} + 1\right)}{\left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
distribute-rgt-outN/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites99.5%
Applied rewrites99.5%
Taylor expanded in x around 0
Applied rewrites83.3%
(FPCore (x) :precision binary64 (/ (fma (fma (fma 0.16666666666666666 (* x x) 0.5) (* x x) 1.0) (* x x) 1.0) (* (sqrt PI) (fabs x))))
double code(double x) {
return fma(fma(fma(0.16666666666666666, (x * x), 0.5), (x * x), 1.0), (x * x), 1.0) / (sqrt(((double) M_PI)) * fabs(x));
}
function code(x) return Float64(fma(fma(fma(0.16666666666666666, Float64(x * x), 0.5), Float64(x * x), 1.0), Float64(x * x), 1.0) / Float64(sqrt(pi) * abs(x))) end
code[x_] := 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[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\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|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites83.3%
Applied rewrites83.3%
(FPCore (x) :precision binary64 (/ (fma (fma 0.5 (* x x) 1.0) (* x x) 1.0) (* (sqrt PI) (fabs x))))
double code(double x) {
return fma(fma(0.5, (x * x), 1.0), (x * x), 1.0) / (sqrt(((double) M_PI)) * fabs(x));
}
function code(x) return Float64(fma(fma(0.5, Float64(x * x), 1.0), Float64(x * x), 1.0) / Float64(sqrt(pi) * abs(x))) end
code[x_] := N[(N[(N[(0.5 * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(\mathsf{fma}\left(0.5, x \cdot x, 1\right), x \cdot x, 1\right)}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites74.6%
Final simplification74.6%
(FPCore (x) :precision binary64 (/ (fma x x 1.0) (* (sqrt PI) (fabs x))))
double code(double x) {
return fma(x, x, 1.0) / (sqrt(((double) M_PI)) * fabs(x));
}
function code(x) return Float64(fma(x, x, 1.0) / Float64(sqrt(pi) * abs(x))) end
code[x_] := N[(N[(x * x + 1.0), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites49.7%
Final simplification49.7%
(FPCore (x) :precision binary64 (/ 1.0 (* (sqrt PI) (fabs x))))
double code(double x) {
return 1.0 / (sqrt(((double) M_PI)) * fabs(x));
}
public static double code(double x) {
return 1.0 / (Math.sqrt(Math.PI) * Math.abs(x));
}
def code(x): return 1.0 / (math.sqrt(math.pi) * math.fabs(x))
function code(x) return Float64(1.0 / Float64(sqrt(pi) * abs(x))) end
function tmp = code(x) tmp = 1.0 / (sqrt(pi) * abs(x)); end
code[x_] := N[(1.0 / N[(N[Sqrt[Pi], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{\pi} \cdot \left|x\right|}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
associate-*r/N/A
associate-*l/N/A
lower-*.f64N/A
lower-/.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-PI.f64N/A
lower-fabs.f64N/A
unpow2N/A
sqr-absN/A
unpow2N/A
lower-exp.f64N/A
unpow2N/A
lower-*.f6499.4
Applied rewrites99.4%
Applied rewrites99.4%
Taylor expanded in x around 0
Applied rewrites2.3%
Final simplification2.3%
herbie shell --seed 2024235
(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)))))))