
(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 7 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
(*
(* (/ 1.0 (sqrt PI)) (exp (* x x)))
(+
(+
(* (+ (/ 0.5 (* x x)) 1.0) (/ 1.0 x))
(* (/ 3.0 4.0) (* (/ 1.0 (* (* x x) (* x x))) (/ 1.0 (fabs x)))))
(* (pow x -7.0) 1.875))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((1.0 / ((x * x) * (x * x))) * (1.0 / fabs(x))))) + (pow(x, -7.0) * 1.875));
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((1.0 / ((x * x) * (x * x))) * (1.0 / Math.abs(x))))) + (Math.pow(x, -7.0) * 1.875));
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((1.0 / ((x * x) * (x * x))) * (1.0 / math.fabs(x))))) + (math.pow(x, -7.0) * 1.875))
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(x * x))) * Float64(Float64(Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * Float64(1.0 / x)) + Float64(Float64(3.0 / 4.0) * Float64(Float64(1.0 / Float64(Float64(x * x) * Float64(x * x))) * Float64(1.0 / abs(x))))) + Float64((x ^ -7.0) * 1.875))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((x * x))) * (((((0.5 / (x * x)) + 1.0) * (1.0 / x)) + ((3.0 / 4.0) * ((1.0 / ((x * x) * (x * x))) * (1.0 / abs(x))))) + ((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[(N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * N[(N[(1.0 / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $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(\left(\left(\frac{0.5}{x \cdot x} + 1\right) \cdot \frac{1}{x} + \frac{3}{4} \cdot \left(\frac{1}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} \cdot \frac{1}{\left|x\right|}\right)\right) + {x}^{-7} \cdot 1.875\right)
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
lift-fabs.f64N/A
lift-pow.f64N/A
inv-powN/A
lower-/.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
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
pow2N/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
pow2N/A
frac-2negN/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
sqr-powN/A
pow-prod-downN/A
sqr-abs-revN/A
pow-prod-downN/A
sqr-powN/A
pow-negN/A
metadata-evalN/A
lower-pow.f64N/A
metadata-eval100.0
Applied rewrites100.0%
Final simplification100.0%
(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-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around inf
Applied rewrites99.7%
Taylor expanded in x around inf
inv-powN/A
lower-pow.f6499.7
Applied rewrites99.7%
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-abs-revN/A
lift-*.f6499.7
Applied rewrites99.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 0.5 (sqrt PI))) (t_1 (* (* x x) 0.5)))
(if (<= x 5.6e+102)
(*
t_0
(/
(+
(* (+ (* (+ (* 0.16666666666666666 (* x x)) 0.5) (* x x)) 1.0) (* x x))
1.0)
(* (* x x) x)))
(if (<= x 1.4e+154)
(* t_0 (+ (/ (+ (* t_1 x) x) (* x x)) (pow x -3.0)))
(/ (* 0.5 (+ (/ (+ t_1 1.0) x) (pow x -3.0))) (sqrt PI))))))
double code(double x) {
double t_0 = 0.5 / sqrt(((double) M_PI));
double t_1 = (x * x) * 0.5;
double tmp;
if (x <= 5.6e+102) {
tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else if (x <= 1.4e+154) {
tmp = t_0 * ((((t_1 * x) + x) / (x * x)) + pow(x, -3.0));
} else {
tmp = (0.5 * (((t_1 + 1.0) / x) + pow(x, -3.0))) / sqrt(((double) M_PI));
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 / Math.sqrt(Math.PI);
double t_1 = (x * x) * 0.5;
double tmp;
if (x <= 5.6e+102) {
tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else if (x <= 1.4e+154) {
tmp = t_0 * ((((t_1 * x) + x) / (x * x)) + Math.pow(x, -3.0));
} else {
tmp = (0.5 * (((t_1 + 1.0) / x) + Math.pow(x, -3.0))) / Math.sqrt(Math.PI);
}
return tmp;
}
def code(x): t_0 = 0.5 / math.sqrt(math.pi) t_1 = (x * x) * 0.5 tmp = 0 if x <= 5.6e+102: tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)) elif x <= 1.4e+154: tmp = t_0 * ((((t_1 * x) + x) / (x * x)) + math.pow(x, -3.0)) else: tmp = (0.5 * (((t_1 + 1.0) / x) + math.pow(x, -3.0))) / math.sqrt(math.pi) return tmp
function code(x) t_0 = Float64(0.5 / sqrt(pi)) t_1 = Float64(Float64(x * x) * 0.5) tmp = 0.0 if (x <= 5.6e+102) tmp = Float64(t_0 * Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.16666666666666666 * Float64(x * x)) + 0.5) * Float64(x * x)) + 1.0) * Float64(x * x)) + 1.0) / Float64(Float64(x * x) * x))); elseif (x <= 1.4e+154) tmp = Float64(t_0 * Float64(Float64(Float64(Float64(t_1 * x) + x) / Float64(x * x)) + (x ^ -3.0))); else tmp = Float64(Float64(0.5 * Float64(Float64(Float64(t_1 + 1.0) / x) + (x ^ -3.0))) / sqrt(pi)); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 / sqrt(pi); t_1 = (x * x) * 0.5; tmp = 0.0; if (x <= 5.6e+102) tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)); elseif (x <= 1.4e+154) tmp = t_0 * ((((t_1 * x) + x) / (x * x)) + (x ^ -3.0)); else tmp = (0.5 * (((t_1 + 1.0) / x) + (x ^ -3.0))) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision]}, If[LessEqual[x, 5.6e+102], N[(t$95$0 * N[(N[(N[(N[(N[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 1.4e+154], N[(t$95$0 * N[(N[(N[(N[(t$95$1 * x), $MachinePrecision] + x), $MachinePrecision] / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[Power[x, -3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 * N[(N[(N[(t$95$1 + 1.0), $MachinePrecision] / x), $MachinePrecision] + N[Power[x, -3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{0.5}{\sqrt{\pi}}\\
t_1 := \left(x \cdot x\right) \cdot 0.5\\
\mathbf{if}\;x \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;t\_0 \cdot \frac{\left(\left(0.16666666666666666 \cdot \left(x \cdot x\right) + 0.5\right) \cdot \left(x \cdot x\right) + 1\right) \cdot \left(x \cdot x\right) + 1}{\left(x \cdot x\right) \cdot x}\\
\mathbf{elif}\;x \leq 1.4 \cdot 10^{+154}:\\
\;\;\;\;t\_0 \cdot \left(\frac{t\_1 \cdot x + x}{x \cdot x} + {x}^{-3}\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{0.5 \cdot \left(\frac{t\_1 + 1}{x} + {x}^{-3}\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 5.60000000000000037e102Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites99.0%
Taylor expanded in x around 0
pow-expN/A
sqr-abs-revN/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites49.7%
lift-pow.f64N/A
unpow3N/A
pow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f6449.7
Applied rewrites49.7%
if 5.60000000000000037e102 < x < 1.4e154Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites0.0%
Taylor expanded in x around 0
Applied rewrites4.4%
lift-*.f64N/A
lift-/.f64N/A
lift-+.f64N/A
lift-*.f64N/A
lift-*.f64N/A
*-rgt-identityN/A
lift-*.f64N/A
lift-*.f64N/A
div-addN/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
*-commutativeN/A
frac-addN/A
pow2N/A
lower-/.f64N/A
Applied rewrites100.0%
if 1.4e154 < x Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites0.0%
Taylor expanded in x around 0
Applied rewrites100.0%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites100.0%
Final simplification84.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 0.5 (sqrt PI)))
(t_1 (+ (* (+ (* 0.16666666666666666 (* x x)) 0.5) (* x x)) 1.0)))
(if (<= x 2e+77)
(* t_0 (/ (+ (* t_1 (* x x)) 1.0) (* (* x x) x)))
(* t_0 (+ (/ t_1 x) (pow x -3.0))))))
double code(double x) {
double t_0 = 0.5 / sqrt(((double) M_PI));
double t_1 = (((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0;
double tmp;
if (x <= 2e+77) {
tmp = t_0 * (((t_1 * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = t_0 * ((t_1 / x) + pow(x, -3.0));
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 / Math.sqrt(Math.PI);
double t_1 = (((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0;
double tmp;
if (x <= 2e+77) {
tmp = t_0 * (((t_1 * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = t_0 * ((t_1 / x) + Math.pow(x, -3.0));
}
return tmp;
}
def code(x): t_0 = 0.5 / math.sqrt(math.pi) t_1 = (((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0 tmp = 0 if x <= 2e+77: tmp = t_0 * (((t_1 * (x * x)) + 1.0) / ((x * x) * x)) else: tmp = t_0 * ((t_1 / x) + math.pow(x, -3.0)) return tmp
function code(x) t_0 = Float64(0.5 / sqrt(pi)) t_1 = Float64(Float64(Float64(Float64(0.16666666666666666 * Float64(x * x)) + 0.5) * Float64(x * x)) + 1.0) tmp = 0.0 if (x <= 2e+77) tmp = Float64(t_0 * Float64(Float64(Float64(t_1 * Float64(x * x)) + 1.0) / Float64(Float64(x * x) * x))); else tmp = Float64(t_0 * Float64(Float64(t_1 / x) + (x ^ -3.0))); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 / sqrt(pi); t_1 = (((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0; tmp = 0.0; if (x <= 2e+77) tmp = t_0 * (((t_1 * (x * x)) + 1.0) / ((x * x) * x)); else tmp = t_0 * ((t_1 / x) + (x ^ -3.0)); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]}, If[LessEqual[x, 2e+77], N[(t$95$0 * N[(N[(N[(t$95$1 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(N[(t$95$1 / x), $MachinePrecision] + N[Power[x, -3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{0.5}{\sqrt{\pi}}\\
t_1 := \left(0.16666666666666666 \cdot \left(x \cdot x\right) + 0.5\right) \cdot \left(x \cdot x\right) + 1\\
\mathbf{if}\;x \leq 2 \cdot 10^{+77}:\\
\;\;\;\;t\_0 \cdot \frac{t\_1 \cdot \left(x \cdot x\right) + 1}{\left(x \cdot x\right) \cdot x}\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \left(\frac{t\_1}{x} + {x}^{-3}\right)\\
\end{array}
\end{array}
if x < 1.99999999999999997e77Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites98.6%
Taylor expanded in x around 0
pow-expN/A
sqr-abs-revN/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites32.9%
lift-pow.f64N/A
unpow3N/A
pow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f6432.9
Applied rewrites32.9%
if 1.99999999999999997e77 < x Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites10.2%
Taylor expanded in x around 0
Applied rewrites100.0%
Final simplification84.3%
(FPCore (x)
:precision binary64
(if (<= x 5.6e+102)
(*
(/ 0.5 (sqrt PI))
(/
(+
(* (+ (* (+ (* 0.16666666666666666 (* x x)) 0.5) (* x x)) 1.0) (* x x))
1.0)
(* (* x x) x)))
(/ (* 0.5 (+ (/ (+ (* (* x x) 0.5) 1.0) x) (pow x -3.0))) (sqrt PI))))
double code(double x) {
double tmp;
if (x <= 5.6e+102) {
tmp = (0.5 / sqrt(((double) M_PI))) * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = (0.5 * (((((x * x) * 0.5) + 1.0) / x) + pow(x, -3.0))) / sqrt(((double) M_PI));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (x <= 5.6e+102) {
tmp = (0.5 / Math.sqrt(Math.PI)) * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = (0.5 * (((((x * x) * 0.5) + 1.0) / x) + Math.pow(x, -3.0))) / Math.sqrt(Math.PI);
}
return tmp;
}
def code(x): tmp = 0 if x <= 5.6e+102: tmp = (0.5 / math.sqrt(math.pi)) * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)) else: tmp = (0.5 * (((((x * x) * 0.5) + 1.0) / x) + math.pow(x, -3.0))) / math.sqrt(math.pi) return tmp
function code(x) tmp = 0.0 if (x <= 5.6e+102) tmp = Float64(Float64(0.5 / sqrt(pi)) * Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.16666666666666666 * Float64(x * x)) + 0.5) * Float64(x * x)) + 1.0) * Float64(x * x)) + 1.0) / Float64(Float64(x * x) * x))); else tmp = Float64(Float64(0.5 * Float64(Float64(Float64(Float64(Float64(x * x) * 0.5) + 1.0) / x) + (x ^ -3.0))) / sqrt(pi)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 5.6e+102) tmp = (0.5 / sqrt(pi)) * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)); else tmp = (0.5 * (((((x * x) * 0.5) + 1.0) / x) + (x ^ -3.0))) / sqrt(pi); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 5.6e+102], N[(N[(0.5 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(0.5 * N[(N[(N[(N[(N[(x * x), $MachinePrecision] * 0.5), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] + N[Power[x, -3.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;\frac{0.5}{\sqrt{\pi}} \cdot \frac{\left(\left(0.16666666666666666 \cdot \left(x \cdot x\right) + 0.5\right) \cdot \left(x \cdot x\right) + 1\right) \cdot \left(x \cdot x\right) + 1}{\left(x \cdot x\right) \cdot x}\\
\mathbf{else}:\\
\;\;\;\;\frac{0.5 \cdot \left(\frac{\left(x \cdot x\right) \cdot 0.5 + 1}{x} + {x}^{-3}\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if x < 5.60000000000000037e102Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites99.0%
Taylor expanded in x around 0
pow-expN/A
sqr-abs-revN/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites49.7%
lift-pow.f64N/A
unpow3N/A
pow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f6449.7
Applied rewrites49.7%
if 5.60000000000000037e102 < x Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites0.0%
Taylor expanded in x around 0
Applied rewrites75.5%
lift-*.f64N/A
lift-/.f64N/A
associate-*l/N/A
lower-/.f64N/A
Applied rewrites75.5%
Final simplification67.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 0.5 (sqrt PI))))
(if (<= x 5.6e+102)
(*
t_0
(/
(+
(* (+ (* (+ (* 0.16666666666666666 (* x x)) 0.5) (* x x)) 1.0) (* x x))
1.0)
(* (* x x) x)))
(* t_0 (* 0.5 x)))))
double code(double x) {
double t_0 = 0.5 / sqrt(((double) M_PI));
double tmp;
if (x <= 5.6e+102) {
tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = t_0 * (0.5 * x);
}
return tmp;
}
public static double code(double x) {
double t_0 = 0.5 / Math.sqrt(Math.PI);
double tmp;
if (x <= 5.6e+102) {
tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x));
} else {
tmp = t_0 * (0.5 * x);
}
return tmp;
}
def code(x): t_0 = 0.5 / math.sqrt(math.pi) tmp = 0 if x <= 5.6e+102: tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)) else: tmp = t_0 * (0.5 * x) return tmp
function code(x) t_0 = Float64(0.5 / sqrt(pi)) tmp = 0.0 if (x <= 5.6e+102) tmp = Float64(t_0 * Float64(Float64(Float64(Float64(Float64(Float64(Float64(0.16666666666666666 * Float64(x * x)) + 0.5) * Float64(x * x)) + 1.0) * Float64(x * x)) + 1.0) / Float64(Float64(x * x) * x))); else tmp = Float64(t_0 * Float64(0.5 * x)); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 / sqrt(pi); tmp = 0.0; if (x <= 5.6e+102) tmp = t_0 * (((((((0.16666666666666666 * (x * x)) + 0.5) * (x * x)) + 1.0) * (x * x)) + 1.0) / ((x * x) * x)); else tmp = t_0 * (0.5 * x); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 5.6e+102], N[(t$95$0 * N[(N[(N[(N[(N[(N[(N[(0.16666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.5), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(0.5 * x), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{0.5}{\sqrt{\pi}}\\
\mathbf{if}\;x \leq 5.6 \cdot 10^{+102}:\\
\;\;\;\;t\_0 \cdot \frac{\left(\left(0.16666666666666666 \cdot \left(x \cdot x\right) + 0.5\right) \cdot \left(x \cdot x\right) + 1\right) \cdot \left(x \cdot x\right) + 1}{\left(x \cdot x\right) \cdot x}\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \left(0.5 \cdot x\right)\\
\end{array}
\end{array}
if x < 5.60000000000000037e102Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites99.0%
Taylor expanded in x around 0
pow-expN/A
sqr-abs-revN/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites49.7%
lift-pow.f64N/A
unpow3N/A
pow2N/A
lower-*.f64N/A
pow2N/A
lift-*.f6449.7
Applied rewrites49.7%
if 5.60000000000000037e102 < x Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites0.0%
Taylor expanded in x around 0
Applied rewrites75.5%
Taylor expanded in x around inf
lower-*.f646.0
Applied rewrites6.0%
(FPCore (x) :precision binary64 (* (/ 0.5 (sqrt PI)) (* 0.5 x)))
double code(double x) {
return (0.5 / sqrt(((double) M_PI))) * (0.5 * x);
}
public static double code(double x) {
return (0.5 / Math.sqrt(Math.PI)) * (0.5 * x);
}
def code(x): return (0.5 / math.sqrt(math.pi)) * (0.5 * x)
function code(x) return Float64(Float64(0.5 / sqrt(pi)) * Float64(0.5 * x)) end
function tmp = code(x) tmp = (0.5 / sqrt(pi)) * (0.5 * x); end
code[x_] := N[(N[(0.5 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(0.5 * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{\sqrt{\pi}} \cdot \left(0.5 \cdot x\right)
\end{array}
Initial program 100.0%
lift-+.f64N/A
lift-*.f64N/A
lift-/.f64N/A
lift-*.f64N/A
associate-*r*N/A
distribute-rgt1-inN/A
lower-*.f64N/A
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites30.9%
Taylor expanded in x around 0
Applied rewrites53.1%
Taylor expanded in x around inf
lower-*.f645.3
Applied rewrites5.3%
herbie shell --seed 2025065
(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)))))))