
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x)))
(t_1 (* (* t_0 t_0) t_0))
(t_2 (* (* t_1 t_0) t_0)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(+
(+ (+ t_0 (* (/ 1.0 2.0) t_1)) (* (/ 3.0 4.0) t_2))
(* (/ 15.0 8.0) (* (* t_2 t_0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
public static double code(double x) {
double t_0 = 1.0 / Math.abs(x);
double t_1 = (t_0 * t_0) * t_0;
double t_2 = (t_1 * t_0) * t_0;
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)));
}
def code(x): t_0 = 1.0 / math.fabs(x) t_1 = (t_0 * t_0) * t_0 t_2 = (t_1 * t_0) * t_0 return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0)))
function code(x) t_0 = Float64(1.0 / abs(x)) t_1 = Float64(Float64(t_0 * t_0) * t_0) t_2 = Float64(Float64(t_1 * t_0) * t_0) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(Float64(t_0 + Float64(Float64(1.0 / 2.0) * t_1)) + Float64(Float64(3.0 / 4.0) * t_2)) + Float64(Float64(15.0 / 8.0) * Float64(Float64(t_2 * t_0) * t_0)))) end
function tmp = code(x) t_0 = 1.0 / abs(x); t_1 = (t_0 * t_0) * t_0; t_2 = (t_1 * t_0) * t_0; tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (((t_0 + ((1.0 / 2.0) * t_1)) + ((3.0 / 4.0) * t_2)) + ((15.0 / 8.0) * ((t_2 * t_0) * t_0))); end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(t$95$0 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t$95$1 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[Abs[x], $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(t$95$0 + N[(N[(1.0 / 2.0), $MachinePrecision] * t$95$1), $MachinePrecision]), $MachinePrecision] + N[(N[(3.0 / 4.0), $MachinePrecision] * t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[(15.0 / 8.0), $MachinePrecision] * N[(N[(t$95$2 * t$95$0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
t_1 := \left(t\_0 \cdot t\_0\right) \cdot t\_0\\
t_2 := \left(t\_1 \cdot t\_0\right) \cdot t\_0\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \left(\left(\left(t\_0 + \frac{1}{2} \cdot t\_1\right) + \frac{3}{4} \cdot t\_2\right) + \frac{15}{8} \cdot \left(\left(t\_2 \cdot t\_0\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Herbie found 9 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)) (pow (exp (- x)) (- x)))
(-
(/
(-
(- (- (/ (+ (/ 1.875 (* x x)) 0.75) (* (* x x) (* x x)))) 1.0)
(/ 0.5 (* x x)))
x))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(-x), -x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(-x), -x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(-x), -x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(Float64(-x)) ^ Float64(-x))) * Float64(-Float64(Float64(Float64(Float64(-Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(Float64(x * x) * Float64(x * x)))) - 1.0) - Float64(0.5 / Float64(x * x))) / x))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * (exp(-x) ^ -x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[(-x)], $MachinePrecision], (-x)], $MachinePrecision]), $MachinePrecision] * (-N[(N[(N[((-N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - 1.0), $MachinePrecision] - N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{-x}\right)}^{\left(-x\right)}\right) \cdot \left(-\frac{\left(\left(-\frac{\frac{1.875}{x \cdot x} + 0.75}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right) - 1\right) - \frac{0.5}{x \cdot x}}{x}\right)
\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
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
Taylor expanded in x around 0
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(*
(* (/ 1.0 (sqrt PI)) (pow (exp x) x))
(-
(/
(-
(- (- (/ (+ (/ 1.875 (* x x)) 0.75) (* (* x x) (* x x)))) 1.0)
(/ 0.5 (* x x)))
x))))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(x), x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(x), x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * Float64(-Float64(Float64(Float64(Float64(-Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(Float64(x * x) * Float64(x * x)))) - 1.0) - Float64(0.5 / Float64(x * x))) / x))) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * (exp(x) ^ x)) * -(((-(((1.875 / (x * x)) + 0.75) / ((x * x) * (x * x))) - 1.0) - (0.5 / (x * x))) / x); end
code[x_] := N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * (-N[(N[(N[((-N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]) - 1.0), $MachinePrecision] - N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / x), $MachinePrecision])), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \left(-\frac{\left(\left(-\frac{\frac{1.875}{x \cdot x} + 0.75}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)}\right) - 1\right) - \frac{0.5}{x \cdot x}}{x}\right)
\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
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
lift-pow.f64N/A
lift-exp.f64N/A
pow-expN/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
sqr-neg-revN/A
exp-prodN/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
lower-pow.f64N/A
rem-sqrt-square-revN/A
pow2N/A
sqrt-pow1N/A
metadata-evalN/A
unpow1N/A
lower-exp.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(*
(/ (exp (+ 0.0 (* x x))) (sqrt PI))
(/
(-
(- (/ (+ (/ 1.875 (* x x)) 0.75) (- (* (* (* x x) x) x))) 1.0)
(/ 0.5 (* x x)))
(- x))))
double code(double x) {
return (exp((0.0 + (x * x))) / sqrt(((double) M_PI))) * ((((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) - (0.5 / (x * x))) / -x);
}
public static double code(double x) {
return (Math.exp((0.0 + (x * x))) / Math.sqrt(Math.PI)) * ((((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) - (0.5 / (x * x))) / -x);
}
def code(x): return (math.exp((0.0 + (x * x))) / math.sqrt(math.pi)) * ((((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) - (0.5 / (x * x))) / -x)
function code(x) return Float64(Float64(exp(Float64(0.0 + Float64(x * x))) / sqrt(pi)) * Float64(Float64(Float64(Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(-Float64(Float64(Float64(x * x) * x) * x))) - 1.0) - Float64(0.5 / Float64(x * x))) / Float64(-x))) end
function tmp = code(x) tmp = (exp((0.0 + (x * x))) / sqrt(pi)) * ((((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) - (0.5 / (x * x))) / -x); end
code[x_] := N[(N[(N[Exp[N[(0.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / (-N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision])), $MachinePrecision] - 1.0), $MachinePrecision] - N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / (-x)), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{0 + x \cdot x}}{\sqrt{\pi}} \cdot \frac{\left(\frac{\frac{1.875}{x \cdot x} + 0.75}{-\left(\left(x \cdot x\right) \cdot x\right) \cdot x} - 1\right) - \frac{0.5}{x \cdot x}}{-x}
\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
Applied rewrites100.0%
Taylor expanded in x around -inf
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (- (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp t_0) t_0))
(/ (+ (/ 0.5 (* x x)) 1.0) x))))
double code(double x) {
double t_0 = -fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(t_0), t_0)) * (((0.5 / (x * x)) + 1.0) / x);
}
public static double code(double x) {
double t_0 = -Math.abs(x);
return ((1.0 / Math.sqrt(Math.PI)) * Math.pow(Math.exp(t_0), t_0)) * (((0.5 / (x * x)) + 1.0) / x);
}
def code(x): t_0 = -math.fabs(x) return ((1.0 / math.sqrt(math.pi)) * math.pow(math.exp(t_0), t_0)) * (((0.5 / (x * x)) + 1.0) / x)
function code(x) t_0 = Float64(-abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) / x)) end
function tmp = code(x) t_0 = -abs(x); tmp = ((1.0 / sqrt(pi)) * (exp(t_0) ^ t_0)) * (((0.5 / (x * x)) + 1.0) / x); end
code[x_] := Block[{t$95$0 = (-N[Abs[x], $MachinePrecision])}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[t$95$0], $MachinePrecision], t$95$0], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := -\left|x\right|\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{t\_0}\right)}^{t\_0}\right) \cdot \frac{\frac{0.5}{x \cdot x} + 1}{x}
\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
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
pow2N/A
+-commutativeN/A
lower-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-+.f64N/A
metadata-eval99.7
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (/ (- (/ (+ (/ 1.875 (* x x)) 0.75) (- (* (* (* x x) x) x))) 1.0) (- x))))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) / -x);
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) / -x);
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) / -x)
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(Float64(Float64(Float64(Float64(1.875 / Float64(x * x)) + 0.75) / Float64(-Float64(Float64(Float64(x * x) * x) * x))) - 1.0) / Float64(-x))) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (((((1.875 / (x * x)) + 0.75) / -(((x * x) * x) * x)) - 1.0) / -x); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[(1.875 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / (-N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision])), $MachinePrecision] - 1.0), $MachinePrecision] / (-x)), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \frac{\frac{\frac{1.875}{x \cdot x} + 0.75}{-\left(\left(x \cdot x\right) \cdot x\right) \cdot x} - 1}{-x}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
+-commutativeN/A
pow-flipN/A
metadata-evalN/A
*-commutativeN/A
Applied rewrites99.7%
Taylor expanded in x around -inf
metadata-evalN/A
metadata-evalN/A
mul-1-negN/A
lower-neg.f64N/A
lower-/.f64N/A
Applied rewrites99.7%
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ (+ (/ 0.75 (* (* x x) (* x x))) 1.0) x) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (((0.75 / ((x * x) * (x * x))) + 1.0) / x) * (exp((x * x)) / sqrt(((double) M_PI)));
}
public static double code(double x) {
return (((0.75 / ((x * x) * (x * x))) + 1.0) / x) * (Math.exp((x * x)) / Math.sqrt(Math.PI));
}
def code(x): return (((0.75 / ((x * x) * (x * x))) + 1.0) / x) * (math.exp((x * x)) / math.sqrt(math.pi))
function code(x) return Float64(Float64(Float64(Float64(0.75 / Float64(Float64(x * x) * Float64(x * x))) + 1.0) / x) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
function tmp = code(x) tmp = (((0.75 / ((x * x) * (x * x))) + 1.0) / x) * (exp((x * x)) / sqrt(pi)); end
code[x_] := N[(N[(N[(N[(0.75 / N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.75}{\left(x \cdot x\right) \cdot \left(x \cdot x\right)} + 1}{x} \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
+-commutativeN/A
pow-flipN/A
metadata-evalN/A
*-commutativeN/A
Applied rewrites99.7%
Taylor expanded in x around inf
metadata-evalN/A
lower-/.f64N/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
metadata-evalN/A
metadata-evalN/A
pow-prod-upN/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
pow2N/A
lift-*.f6499.7
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ (exp (* x x)) (sqrt PI)) (/ 1.0 x)))
double code(double x) {
return (exp((x * x)) / sqrt(((double) M_PI))) * (1.0 / x);
}
public static double code(double x) {
return (Math.exp((x * x)) / Math.sqrt(Math.PI)) * (1.0 / x);
}
def code(x): return (math.exp((x * x)) / math.sqrt(math.pi)) * (1.0 / x)
function code(x) return Float64(Float64(exp(Float64(x * x)) / sqrt(pi)) * Float64(1.0 / x)) end
function tmp = code(x) tmp = (exp((x * x)) / sqrt(pi)) * (1.0 / x); end
code[x_] := N[(N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(1.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x \cdot x}}{\sqrt{\pi}} \cdot \frac{1}{x}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
+-commutativeN/A
pow-flipN/A
metadata-evalN/A
*-commutativeN/A
Applied rewrites99.7%
Taylor expanded in x around inf
lift-/.f6499.7
Applied rewrites99.7%
Applied rewrites99.7%
(FPCore (x) :precision binary64 (* (/ 1.0 x) (/ (fma x x 1.0) (sqrt PI))))
double code(double x) {
return (1.0 / x) * (fma(x, x, 1.0) / sqrt(((double) M_PI)));
}
function code(x) return Float64(Float64(1.0 / x) * Float64(fma(x, x, 1.0) / sqrt(pi))) end
code[x_] := N[(N[(1.0 / x), $MachinePrecision] * N[(N[(x * x + 1.0), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{x} \cdot \frac{\mathsf{fma}\left(x, x, 1\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
+-commutativeN/A
pow-flipN/A
metadata-evalN/A
*-commutativeN/A
Applied rewrites99.7%
Taylor expanded in x around inf
lift-/.f6499.7
Applied rewrites99.7%
Taylor expanded in x around 0
sqr-abs-revN/A
sqr-neg-revN/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
pow-expN/A
lift-fabs.f64N/A
lift-neg.f64N/A
lift-fabs.f64N/A
lift-neg.f64N/A
+-commutativeN/A
pow2N/A
lower-fma.f6452.0
Applied rewrites52.0%
(FPCore (x) :precision binary64 (/ 1.0 (* (sqrt PI) x)))
double code(double x) {
return 1.0 / (sqrt(((double) M_PI)) * x);
}
public static double code(double x) {
return 1.0 / (Math.sqrt(Math.PI) * x);
}
def code(x): return 1.0 / (math.sqrt(math.pi) * x)
function code(x) return Float64(1.0 / Float64(sqrt(pi) * x)) end
function tmp = code(x) tmp = 1.0 / (sqrt(pi) * x); end
code[x_] := N[(1.0 / N[(N[Sqrt[Pi], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\sqrt{\pi} \cdot x}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites2.3%
Taylor expanded in x around inf
*-commutativeN/A
sqrt-divN/A
metadata-evalN/A
lift-sqrt.f64N/A
lift-PI.f64N/A
frac-timesN/A
metadata-evalN/A
lower-/.f64N/A
lower-*.f642.3
Applied rewrites2.3%
herbie shell --seed 2025115
(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)))))))