
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt PI))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))
double code(double x) {
double t_0 = (fabs(x) * fabs(x)) * fabs(x);
double t_1 = (t_0 * fabs(x)) * fabs(x);
return fabs(((1.0 / sqrt(((double) M_PI))) * ((((2.0 * fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * fabs(x)) * fabs(x))))));
}
public static double code(double x) {
double t_0 = (Math.abs(x) * Math.abs(x)) * Math.abs(x);
double t_1 = (t_0 * Math.abs(x)) * Math.abs(x);
return Math.abs(((1.0 / Math.sqrt(Math.PI)) * ((((2.0 * Math.abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * Math.abs(x)) * Math.abs(x))))));
}
def code(x): t_0 = (math.fabs(x) * math.fabs(x)) * math.fabs(x) t_1 = (t_0 * math.fabs(x)) * math.fabs(x) return math.fabs(((1.0 / math.sqrt(math.pi)) * ((((2.0 * math.fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * math.fabs(x)) * math.fabs(x))))))
function code(x) t_0 = Float64(Float64(abs(x) * abs(x)) * abs(x)) t_1 = Float64(Float64(t_0 * abs(x)) * abs(x)) return abs(Float64(Float64(1.0 / sqrt(pi)) * Float64(Float64(Float64(Float64(2.0 * abs(x)) + Float64(Float64(2.0 / 3.0) * t_0)) + Float64(Float64(1.0 / 5.0) * t_1)) + Float64(Float64(1.0 / 21.0) * Float64(Float64(t_1 * abs(x)) * abs(x)))))) end
function tmp = code(x) t_0 = (abs(x) * abs(x)) * abs(x); t_1 = (t_0 * abs(x)) * abs(x); tmp = abs(((1.0 / sqrt(pi)) * ((((2.0 * abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * abs(x)) * abs(x)))))); end
code[x_] := Block[{t$95$0 = N[(N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[Abs[N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(2.0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 5.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 21.0), $MachinePrecision] * N[(N[(t$95$1 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\pi}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 9 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* (fabs x) (fabs x)) (fabs x)))
(t_1 (* (* t_0 (fabs x)) (fabs x))))
(fabs
(*
(/ 1.0 (sqrt PI))
(+
(+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) t_0)) (* (/ 1.0 5.0) t_1))
(* (/ 1.0 21.0) (* (* t_1 (fabs x)) (fabs x))))))))
double code(double x) {
double t_0 = (fabs(x) * fabs(x)) * fabs(x);
double t_1 = (t_0 * fabs(x)) * fabs(x);
return fabs(((1.0 / sqrt(((double) M_PI))) * ((((2.0 * fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * fabs(x)) * fabs(x))))));
}
public static double code(double x) {
double t_0 = (Math.abs(x) * Math.abs(x)) * Math.abs(x);
double t_1 = (t_0 * Math.abs(x)) * Math.abs(x);
return Math.abs(((1.0 / Math.sqrt(Math.PI)) * ((((2.0 * Math.abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * Math.abs(x)) * Math.abs(x))))));
}
def code(x): t_0 = (math.fabs(x) * math.fabs(x)) * math.fabs(x) t_1 = (t_0 * math.fabs(x)) * math.fabs(x) return math.fabs(((1.0 / math.sqrt(math.pi)) * ((((2.0 * math.fabs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * math.fabs(x)) * math.fabs(x))))))
function code(x) t_0 = Float64(Float64(abs(x) * abs(x)) * abs(x)) t_1 = Float64(Float64(t_0 * abs(x)) * abs(x)) return abs(Float64(Float64(1.0 / sqrt(pi)) * Float64(Float64(Float64(Float64(2.0 * abs(x)) + Float64(Float64(2.0 / 3.0) * t_0)) + Float64(Float64(1.0 / 5.0) * t_1)) + Float64(Float64(1.0 / 21.0) * Float64(Float64(t_1 * abs(x)) * abs(x)))))) end
function tmp = code(x) t_0 = (abs(x) * abs(x)) * abs(x); t_1 = (t_0 * abs(x)) * abs(x); tmp = abs(((1.0 / sqrt(pi)) * ((((2.0 * abs(x)) + ((2.0 / 3.0) * t_0)) + ((1.0 / 5.0) * t_1)) + ((1.0 / 21.0) * ((t_1 * abs(x)) * abs(x)))))); end
code[x_] := Block[{t$95$0 = N[(N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[Abs[N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(2.0 * N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[(2.0 / 3.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 5.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / 21.0), $MachinePrecision] * N[(N[(t$95$1 * N[Abs[x], $MachinePrecision]), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(\left|x\right| \cdot \left|x\right|\right) \cdot \left|x\right|\\
t_1 := \left(t\_0 \cdot \left|x\right|\right) \cdot \left|x\right|\\
\left|\frac{1}{\sqrt{\pi}} \cdot \left(\left(\left(2 \cdot \left|x\right| + \frac{2}{3} \cdot t\_0\right) + \frac{1}{5} \cdot t\_1\right) + \frac{1}{21} \cdot \left(\left(t\_1 \cdot \left|x\right|\right) \cdot \left|x\right|\right)\right)\right|
\end{array}
\end{array}
(FPCore (x)
:precision binary64
(fabs
(*
(/ 1.0 (sqrt PI))
(+
(* (fabs x) (+ 2.0 (* x (* x 0.6666666666666666))))
(*
(fabs x)
(* (* x (* x (* x x))) (+ 0.2 (* x (* x 0.047619047619047616)))))))))
double code(double x) {
return fabs(((1.0 / sqrt(((double) M_PI))) * ((fabs(x) * (2.0 + (x * (x * 0.6666666666666666)))) + (fabs(x) * ((x * (x * (x * x))) * (0.2 + (x * (x * 0.047619047619047616))))))));
}
public static double code(double x) {
return Math.abs(((1.0 / Math.sqrt(Math.PI)) * ((Math.abs(x) * (2.0 + (x * (x * 0.6666666666666666)))) + (Math.abs(x) * ((x * (x * (x * x))) * (0.2 + (x * (x * 0.047619047619047616))))))));
}
def code(x): return math.fabs(((1.0 / math.sqrt(math.pi)) * ((math.fabs(x) * (2.0 + (x * (x * 0.6666666666666666)))) + (math.fabs(x) * ((x * (x * (x * x))) * (0.2 + (x * (x * 0.047619047619047616))))))))
function code(x) return abs(Float64(Float64(1.0 / sqrt(pi)) * Float64(Float64(abs(x) * Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666)))) + Float64(abs(x) * Float64(Float64(x * Float64(x * Float64(x * x))) * Float64(0.2 + Float64(x * Float64(x * 0.047619047619047616)))))))) end
function tmp = code(x) tmp = abs(((1.0 / sqrt(pi)) * ((abs(x) * (2.0 + (x * (x * 0.6666666666666666)))) + (abs(x) * ((x * (x * (x * x))) * (0.2 + (x * (x * 0.047619047619047616)))))))); end
code[x_] := N[Abs[N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Abs[x], $MachinePrecision] * N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Abs[x], $MachinePrecision] * N[(N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.2 + N[(x * N[(x * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]
\begin{array}{l}
\\
\left|\frac{1}{\sqrt{\pi}} \cdot \left(\left|x\right| \cdot \left(2 + x \cdot \left(x \cdot 0.6666666666666666\right)\right) + \left|x\right| \cdot \left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(0.2 + x \cdot \left(x \cdot 0.047619047619047616\right)\right)\right)\right)\right|
\end{array}
Initial program 99.8%
Applied egg-rr99.9%
(FPCore (x)
:precision binary64
(if (<= (fabs x) 0.01)
(*
(pow PI -0.5)
(fabs (* x (+ 2.0 (* (* x x) (+ 0.6666666666666666 (* (* x x) 0.2)))))))
(*
0.047619047619047616
(/ (* (fabs x) (* x (* x (* x (* x (* x x)))))) (sqrt PI)))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.01) {
tmp = pow(((double) M_PI), -0.5) * fabs((x * (2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * 0.2))))));
} else {
tmp = 0.047619047619047616 * ((fabs(x) * (x * (x * (x * (x * (x * x)))))) / sqrt(((double) M_PI)));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.01) {
tmp = Math.pow(Math.PI, -0.5) * Math.abs((x * (2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * 0.2))))));
} else {
tmp = 0.047619047619047616 * ((Math.abs(x) * (x * (x * (x * (x * (x * x)))))) / Math.sqrt(Math.PI));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.01: tmp = math.pow(math.pi, -0.5) * math.fabs((x * (2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * 0.2)))))) else: tmp = 0.047619047619047616 * ((math.fabs(x) * (x * (x * (x * (x * (x * x)))))) / math.sqrt(math.pi)) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.01) tmp = Float64((pi ^ -0.5) * abs(Float64(x * Float64(2.0 + Float64(Float64(x * x) * Float64(0.6666666666666666 + Float64(Float64(x * x) * 0.2))))))); else tmp = Float64(0.047619047619047616 * Float64(Float64(abs(x) * Float64(x * Float64(x * Float64(x * Float64(x * Float64(x * x)))))) / sqrt(pi))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.01) tmp = (pi ^ -0.5) * abs((x * (2.0 + ((x * x) * (0.6666666666666666 + ((x * x) * 0.2)))))); else tmp = 0.047619047619047616 * ((abs(x) * (x * (x * (x * (x * (x * x)))))) / sqrt(pi)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.01], N[(N[Power[Pi, -0.5], $MachinePrecision] * N[Abs[N[(x * N[(2.0 + N[(N[(x * x), $MachinePrecision] * N[(0.6666666666666666 + N[(N[(x * x), $MachinePrecision] * 0.2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(0.047619047619047616 * N[(N[(N[Abs[x], $MachinePrecision] * N[(x * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.01:\\
\;\;\;\;{\pi}^{-0.5} \cdot \left|x \cdot \left(2 + \left(x \cdot x\right) \cdot \left(0.6666666666666666 + \left(x \cdot x\right) \cdot 0.2\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;0.047619047619047616 \cdot \frac{\left|x\right| \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.0100000000000000002Initial program 99.8%
Applied egg-rr99.8%
Applied egg-rr99.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.8%
Simplified99.8%
if 0.0100000000000000002 < (fabs.f64 x) Initial program 99.9%
Simplified99.8%
Taylor expanded in x around inf
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
cube-unmultN/A
unpow2N/A
cube-unmultN/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
Simplified99.8%
fabs-mulN/A
fabs-sqrN/A
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
fabs-divN/A
fabs-mulN/A
fabs-fabsN/A
metadata-evalN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
un-div-invN/A
metadata-evalN/A
sqrt-divN/A
*-commutativeN/A
Applied egg-rr99.9%
associate-*l*N/A
associate-*r*N/A
pow3N/A
associate-*l/N/A
*-commutativeN/A
associate-*l*N/A
*-lft-identityN/A
times-fracN/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
(FPCore (x)
:precision binary64
(if (<= (fabs x) 0.01)
(* (pow PI -0.5) (fabs (* x (+ 2.0 (* x (* x 0.6666666666666666))))))
(*
0.047619047619047616
(/ (* (fabs x) (* x (* x (* x (* x (* x x)))))) (sqrt PI)))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.01) {
tmp = pow(((double) M_PI), -0.5) * fabs((x * (2.0 + (x * (x * 0.6666666666666666)))));
} else {
tmp = 0.047619047619047616 * ((fabs(x) * (x * (x * (x * (x * (x * x)))))) / sqrt(((double) M_PI)));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.01) {
tmp = Math.pow(Math.PI, -0.5) * Math.abs((x * (2.0 + (x * (x * 0.6666666666666666)))));
} else {
tmp = 0.047619047619047616 * ((Math.abs(x) * (x * (x * (x * (x * (x * x)))))) / Math.sqrt(Math.PI));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.01: tmp = math.pow(math.pi, -0.5) * math.fabs((x * (2.0 + (x * (x * 0.6666666666666666))))) else: tmp = 0.047619047619047616 * ((math.fabs(x) * (x * (x * (x * (x * (x * x)))))) / math.sqrt(math.pi)) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.01) tmp = Float64((pi ^ -0.5) * abs(Float64(x * Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666)))))); else tmp = Float64(0.047619047619047616 * Float64(Float64(abs(x) * Float64(x * Float64(x * Float64(x * Float64(x * Float64(x * x)))))) / sqrt(pi))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.01) tmp = (pi ^ -0.5) * abs((x * (2.0 + (x * (x * 0.6666666666666666))))); else tmp = 0.047619047619047616 * ((abs(x) * (x * (x * (x * (x * (x * x)))))) / sqrt(pi)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.01], N[(N[Power[Pi, -0.5], $MachinePrecision] * N[Abs[N[(x * N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(0.047619047619047616 * N[(N[(N[Abs[x], $MachinePrecision] * N[(x * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.01:\\
\;\;\;\;{\pi}^{-0.5} \cdot \left|x \cdot \left(2 + x \cdot \left(x \cdot 0.6666666666666666\right)\right)\right|\\
\mathbf{else}:\\
\;\;\;\;0.047619047619047616 \cdot \frac{\left|x\right| \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)}{\sqrt{\pi}}\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.0100000000000000002Initial program 99.8%
Applied egg-rr99.8%
Applied egg-rr99.8%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6499.5%
Simplified99.5%
if 0.0100000000000000002 < (fabs.f64 x) Initial program 99.9%
Simplified99.8%
Taylor expanded in x around inf
associate-*l*N/A
*-commutativeN/A
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
cube-unmultN/A
unpow2N/A
cube-unmultN/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
Simplified99.8%
fabs-mulN/A
fabs-sqrN/A
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
fabs-divN/A
fabs-mulN/A
fabs-fabsN/A
metadata-evalN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
un-div-invN/A
metadata-evalN/A
sqrt-divN/A
*-commutativeN/A
Applied egg-rr99.9%
associate-*l*N/A
associate-*r*N/A
pow3N/A
associate-*l/N/A
*-commutativeN/A
associate-*l*N/A
*-lft-identityN/A
times-fracN/A
metadata-evalN/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
Applied egg-rr100.0%
(FPCore (x) :precision binary64 (if (<= (fabs x) 0.01) (* (fabs x) (/ 2.0 (sqrt PI))) (* (pow PI -0.5) (fabs (* x (* 0.6666666666666666 (* x x)))))))
double code(double x) {
double tmp;
if (fabs(x) <= 0.01) {
tmp = fabs(x) * (2.0 / sqrt(((double) M_PI)));
} else {
tmp = pow(((double) M_PI), -0.5) * fabs((x * (0.6666666666666666 * (x * x))));
}
return tmp;
}
public static double code(double x) {
double tmp;
if (Math.abs(x) <= 0.01) {
tmp = Math.abs(x) * (2.0 / Math.sqrt(Math.PI));
} else {
tmp = Math.pow(Math.PI, -0.5) * Math.abs((x * (0.6666666666666666 * (x * x))));
}
return tmp;
}
def code(x): tmp = 0 if math.fabs(x) <= 0.01: tmp = math.fabs(x) * (2.0 / math.sqrt(math.pi)) else: tmp = math.pow(math.pi, -0.5) * math.fabs((x * (0.6666666666666666 * (x * x)))) return tmp
function code(x) tmp = 0.0 if (abs(x) <= 0.01) tmp = Float64(abs(x) * Float64(2.0 / sqrt(pi))); else tmp = Float64((pi ^ -0.5) * abs(Float64(x * Float64(0.6666666666666666 * Float64(x * x))))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (abs(x) <= 0.01) tmp = abs(x) * (2.0 / sqrt(pi)); else tmp = (pi ^ -0.5) * abs((x * (0.6666666666666666 * (x * x)))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[Abs[x], $MachinePrecision], 0.01], N[(N[Abs[x], $MachinePrecision] * N[(2.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[Pi, -0.5], $MachinePrecision] * N[Abs[N[(x * N[(0.6666666666666666 * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;\left|x\right| \leq 0.01:\\
\;\;\;\;\left|x\right| \cdot \frac{2}{\sqrt{\pi}}\\
\mathbf{else}:\\
\;\;\;\;{\pi}^{-0.5} \cdot \left|x \cdot \left(0.6666666666666666 \cdot \left(x \cdot x\right)\right)\right|\\
\end{array}
\end{array}
if (fabs.f64 x) < 0.0100000000000000002Initial program 99.8%
Simplified99.2%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f64N/A
sqrt-lowering-sqrt.f64N/A
*-inversesN/A
/-lowering-/.f64N/A
*-inversesN/A
PI-lowering-PI.f6498.5%
Simplified98.5%
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
div-fabsN/A
fabs-mulN/A
fabs-fabsN/A
metadata-evalN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
un-div-invN/A
metadata-evalN/A
sqrt-divN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr98.5%
if 0.0100000000000000002 < (fabs.f64 x) Initial program 99.9%
Applied egg-rr99.9%
Applied egg-rr99.8%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6465.3%
Simplified65.3%
Taylor expanded in x around inf
unpow3N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6465.3%
Simplified65.3%
Final simplification87.0%
(FPCore (x)
:precision binary64
(*
(pow PI -0.5)
(fabs
(*
x
(+
2.0
(*
x
(*
x
(+
0.6666666666666666
(* (* x x) (+ 0.2 (* (* x x) 0.047619047619047616)))))))))))
double code(double x) {
return pow(((double) M_PI), -0.5) * fabs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616)))))))));
}
public static double code(double x) {
return Math.pow(Math.PI, -0.5) * Math.abs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616)))))))));
}
def code(x): return math.pow(math.pi, -0.5) * math.fabs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616)))))))))
function code(x) return Float64((pi ^ -0.5) * abs(Float64(x * Float64(2.0 + Float64(x * Float64(x * Float64(0.6666666666666666 + Float64(Float64(x * x) * Float64(0.2 + Float64(Float64(x * x) * 0.047619047619047616)))))))))) end
function tmp = code(x) tmp = (pi ^ -0.5) * abs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616))))))))); end
code[x_] := N[(N[Power[Pi, -0.5], $MachinePrecision] * N[Abs[N[(x * N[(2.0 + N[(x * N[(x * N[(0.6666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(0.2 + N[(N[(x * x), $MachinePrecision] * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\pi}^{-0.5} \cdot \left|x \cdot \left(2 + x \cdot \left(x \cdot \left(0.6666666666666666 + \left(x \cdot x\right) \cdot \left(0.2 + \left(x \cdot x\right) \cdot 0.047619047619047616\right)\right)\right)\right)\right|
\end{array}
Initial program 99.8%
Applied egg-rr99.9%
Applied egg-rr99.8%
(FPCore (x)
:precision binary64
(/
(fabs
(*
x
(+
2.0
(*
x
(*
x
(+
0.6666666666666666
(* (* x x) (+ 0.2 (* (* x x) 0.047619047619047616)))))))))
(sqrt PI)))
double code(double x) {
return fabs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616))))))))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return Math.abs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616))))))))) / Math.sqrt(Math.PI);
}
def code(x): return math.fabs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616))))))))) / math.sqrt(math.pi)
function code(x) return Float64(abs(Float64(x * Float64(2.0 + Float64(x * Float64(x * Float64(0.6666666666666666 + Float64(Float64(x * x) * Float64(0.2 + Float64(Float64(x * x) * 0.047619047619047616))))))))) / sqrt(pi)) end
function tmp = code(x) tmp = abs((x * (2.0 + (x * (x * (0.6666666666666666 + ((x * x) * (0.2 + ((x * x) * 0.047619047619047616))))))))) / sqrt(pi); end
code[x_] := N[(N[Abs[N[(x * N[(2.0 + N[(x * N[(x * N[(0.6666666666666666 + N[(N[(x * x), $MachinePrecision] * N[(0.2 + N[(N[(x * x), $MachinePrecision] * 0.047619047619047616), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left|x \cdot \left(2 + x \cdot \left(x \cdot \left(0.6666666666666666 + \left(x \cdot x\right) \cdot \left(0.2 + \left(x \cdot x\right) \cdot 0.047619047619047616\right)\right)\right)\right)\right|}{\sqrt{\pi}}
\end{array}
Initial program 99.8%
Simplified99.4%
associate-*l/N/A
fabs-divN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
/-lowering-/.f64N/A
Applied egg-rr99.4%
*-commutativeN/A
fabs-mulN/A
distribute-lft-inN/A
associate-*r*N/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
fabs-fabsN/A
mul-fabsN/A
Applied egg-rr99.4%
Final simplification99.4%
(FPCore (x) :precision binary64 (* (pow PI -0.5) (fabs (* x (+ 2.0 (* x (* x 0.6666666666666666)))))))
double code(double x) {
return pow(((double) M_PI), -0.5) * fabs((x * (2.0 + (x * (x * 0.6666666666666666)))));
}
public static double code(double x) {
return Math.pow(Math.PI, -0.5) * Math.abs((x * (2.0 + (x * (x * 0.6666666666666666)))));
}
def code(x): return math.pow(math.pi, -0.5) * math.fabs((x * (2.0 + (x * (x * 0.6666666666666666)))))
function code(x) return Float64((pi ^ -0.5) * abs(Float64(x * Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666)))))) end
function tmp = code(x) tmp = (pi ^ -0.5) * abs((x * (2.0 + (x * (x * 0.6666666666666666))))); end
code[x_] := N[(N[Power[Pi, -0.5], $MachinePrecision] * N[Abs[N[(x * N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
{\pi}^{-0.5} \cdot \left|x \cdot \left(2 + x \cdot \left(x \cdot 0.6666666666666666\right)\right)\right|
\end{array}
Initial program 99.8%
Applied egg-rr99.9%
Applied egg-rr99.8%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6487.6%
Simplified87.6%
(FPCore (x) :precision binary64 (/ (fabs (* x (+ 2.0 (* x (* x 0.6666666666666666))))) (sqrt PI)))
double code(double x) {
return fabs((x * (2.0 + (x * (x * 0.6666666666666666))))) / sqrt(((double) M_PI));
}
public static double code(double x) {
return Math.abs((x * (2.0 + (x * (x * 0.6666666666666666))))) / Math.sqrt(Math.PI);
}
def code(x): return math.fabs((x * (2.0 + (x * (x * 0.6666666666666666))))) / math.sqrt(math.pi)
function code(x) return Float64(abs(Float64(x * Float64(2.0 + Float64(x * Float64(x * 0.6666666666666666))))) / sqrt(pi)) end
function tmp = code(x) tmp = abs((x * (2.0 + (x * (x * 0.6666666666666666))))) / sqrt(pi); end
code[x_] := N[(N[Abs[N[(x * N[(2.0 + N[(x * N[(x * 0.6666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\left|x \cdot \left(2 + x \cdot \left(x \cdot 0.6666666666666666\right)\right)\right|}{\sqrt{\pi}}
\end{array}
Initial program 99.8%
Simplified99.4%
associate-*l/N/A
fabs-divN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
/-lowering-/.f64N/A
Applied egg-rr99.4%
*-commutativeN/A
fabs-mulN/A
distribute-lft-inN/A
associate-*r*N/A
associate-+r+N/A
associate-*r*N/A
associate-*r*N/A
fabs-fabsN/A
mul-fabsN/A
Applied egg-rr99.4%
Taylor expanded in x around 0
*-commutativeN/A
*-lowering-*.f6487.2%
Simplified87.2%
Final simplification87.2%
(FPCore (x) :precision binary64 (* (fabs x) (/ 2.0 (sqrt PI))))
double code(double x) {
return fabs(x) * (2.0 / sqrt(((double) M_PI)));
}
public static double code(double x) {
return Math.abs(x) * (2.0 / Math.sqrt(Math.PI));
}
def code(x): return math.fabs(x) * (2.0 / math.sqrt(math.pi))
function code(x) return Float64(abs(x) * Float64(2.0 / sqrt(pi))) end
function tmp = code(x) tmp = abs(x) * (2.0 / sqrt(pi)); end
code[x_] := N[(N[Abs[x], $MachinePrecision] * N[(2.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left|x\right| \cdot \frac{2}{\sqrt{\pi}}
\end{array}
Initial program 99.8%
Simplified99.4%
Taylor expanded in x around 0
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
fabs-lowering-fabs.f64N/A
sqrt-lowering-sqrt.f64N/A
*-inversesN/A
/-lowering-/.f64N/A
*-inversesN/A
PI-lowering-PI.f6466.1%
Simplified66.1%
sqrt-divN/A
metadata-evalN/A
un-div-invN/A
div-fabsN/A
fabs-mulN/A
fabs-fabsN/A
metadata-evalN/A
rem-sqrt-squareN/A
add-sqr-sqrtN/A
un-div-invN/A
metadata-evalN/A
sqrt-divN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
Applied egg-rr66.1%
Final simplification66.1%
herbie shell --seed 2024161
(FPCore (x)
:name "Jmat.Real.erfi, branch x less than or equal to 0.5"
:precision binary64
:pre (<= x 0.5)
(fabs (* (/ 1.0 (sqrt PI)) (+ (+ (+ (* 2.0 (fabs x)) (* (/ 2.0 3.0) (* (* (fabs x) (fabs x)) (fabs x)))) (* (/ 1.0 5.0) (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)))) (* (/ 1.0 21.0) (* (* (* (* (* (* (fabs x) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)) (fabs x)))))))