
(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 10 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)) (t_1 (/ 1.0 (fabs x))))
(*
(* (/ 1.0 (sqrt PI)) (pow (* (exp x) (exp x)) (/ x 2.0)))
(+
(fma (- 1.0 (/ (/ -0.5 t_0) t_1)) t_1 (* (pow (fabs x) -7.0) 1.875))
(/ 0.75 (* (* t_0 x) (fabs x)))))))
double code(double x) {
double t_0 = (x * x) * x;
double t_1 = 1.0 / fabs(x);
return ((1.0 / sqrt(((double) M_PI))) * pow((exp(x) * exp(x)), (x / 2.0))) * (fma((1.0 - ((-0.5 / t_0) / t_1)), t_1, (pow(fabs(x), -7.0) * 1.875)) + (0.75 / ((t_0 * x) * fabs(x))));
}
function code(x) t_0 = Float64(Float64(x * x) * x) t_1 = Float64(1.0 / abs(x)) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (Float64(exp(x) * exp(x)) ^ Float64(x / 2.0))) * Float64(fma(Float64(1.0 - Float64(Float64(-0.5 / t_0) / t_1)), t_1, Float64((abs(x) ^ -7.0) * 1.875)) + Float64(0.75 / Float64(Float64(t_0 * x) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, Block[{t$95$1 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[(N[Exp[x], $MachinePrecision] * N[Exp[x], $MachinePrecision]), $MachinePrecision], N[(x / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(1.0 - N[(N[(-0.5 / t$95$0), $MachinePrecision] / t$95$1), $MachinePrecision]), $MachinePrecision] * t$95$1 + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(N[(t$95$0 * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
t_1 := \frac{1}{\left|x\right|}\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x} \cdot e^{x}\right)}^{\left(\frac{x}{2}\right)}\right) \cdot \left(\mathsf{fma}\left(1 - \frac{\frac{-0.5}{t\_0}}{t\_1}, t\_1, {\left(\left|x\right|\right)}^{-7} \cdot 1.875\right) + \frac{0.75}{\left(t\_0 \cdot x\right) \cdot \left|x\right|}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
metadata-evalN/A
lift-fma.f64N/A
lift-fabs.f64N/A
lift-pow.f64N/A
lift--.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
Applied rewrites100.0%
lift-exp.f64N/A
lift-pow.f64N/A
sqr-powN/A
pow-prod-downN/A
lower-pow.f64N/A
lower-*.f64N/A
lift-exp.f64N/A
lift-exp.f64N/A
lower-/.f64100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp x) x))
(+
(fma
(fma (/ (fabs x) t_0) 0.5 1.0)
(/ 1.0 (fabs x))
(* (pow (fabs x) -7.0) 1.875))
(/ 0.75 (* (* t_0 x) (fabs x)))))))
double code(double x) {
double t_0 = (x * x) * x;
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * (fma(fma((fabs(x) / t_0), 0.5, 1.0), (1.0 / fabs(x)), (pow(fabs(x), -7.0) * 1.875)) + (0.75 / ((t_0 * x) * fabs(x))));
}
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * Float64(fma(fma(Float64(abs(x) / t_0), 0.5, 1.0), Float64(1.0 / abs(x)), Float64((abs(x) ^ -7.0) * 1.875)) + Float64(0.75 / Float64(Float64(t_0 * x) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[(N[(N[Abs[x], $MachinePrecision] / t$95$0), $MachinePrecision] * 0.5 + 1.0), $MachinePrecision] * N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] + N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875), $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(N[(t$95$0 * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \left(\mathsf{fma}\left(\mathsf{fma}\left(\frac{\left|x\right|}{t\_0}, 0.5, 1\right), \frac{1}{\left|x\right|}, {\left(\left|x\right|\right)}^{-7} \cdot 1.875\right) + \frac{0.75}{\left(t\_0 \cdot x\right) \cdot \left|x\right|}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
metadata-evalN/A
lift-fma.f64N/A
lift-fabs.f64N/A
lift-pow.f64N/A
lift--.f64N/A
lift-fabs.f64N/A
lift-/.f64N/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
+-commutativeN/A
Applied rewrites100.0%
Taylor expanded in x around 0
div-subN/A
pow-divN/A
metadata-evalN/A
metadata-evalN/A
associate-*r/N/A
metadata-evalN/A
metadata-evalN/A
fp-cancel-sign-sub-invN/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-/.f64N/A
lift-fabs.f64N/A
pow3N/A
lift-*.f64N/A
lift-*.f64N/A
metadata-eval100.0
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(* (/ 1.0 (sqrt PI)) (pow (exp x) x))
(+
(fma (pow (fabs x) -7.0) 1.875 (- (/ 1.0 (fabs x)) (/ -0.5 t_0)))
(/ 0.75 (* (* t_0 x) (fabs x)))))))
double code(double x) {
double t_0 = (x * x) * x;
return ((1.0 / sqrt(((double) M_PI))) * pow(exp(x), x)) * (fma(pow(fabs(x), -7.0), 1.875, ((1.0 / fabs(x)) - (-0.5 / t_0))) + (0.75 / ((t_0 * x) * fabs(x))));
}
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * (exp(x) ^ x)) * Float64(fma((abs(x) ^ -7.0), 1.875, Float64(Float64(1.0 / abs(x)) - Float64(-0.5 / t_0))) + Float64(0.75 / Float64(Float64(t_0 * x) * abs(x))))) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision]}, N[(N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[x], $MachinePrecision], x], $MachinePrecision]), $MachinePrecision] * N[(N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision] - N[(-0.5 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(0.75 / N[(N[(t$95$0 * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\left(\frac{1}{\sqrt{\pi}} \cdot {\left(e^{x}\right)}^{x}\right) \cdot \left(\mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{1}{\left|x\right|} - \frac{-0.5}{t\_0}\right) + \frac{0.75}{\left(t\_0 \cdot x\right) \cdot \left|x\right|}\right)
\end{array}
\end{array}
Initial program 100.0%
lift-exp.f64N/A
lift-*.f64N/A
lift-fabs.f64N/A
lift-fabs.f64N/A
sqr-absN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64100.0
Applied rewrites100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
(FPCore (x) :precision binary64 (* (+ (fma (pow (fabs x) -7.0) 1.875 (/ 0.75 (* (* (* (* x x) x) x) (fabs x)))) (/ (- (/ 0.5 (* x x)) -1.0) (fabs x))) (/ (exp (* x x)) (sqrt PI))))
double code(double x) {
return (fma(pow(fabs(x), -7.0), 1.875, (0.75 / ((((x * x) * x) * x) * fabs(x)))) + (((0.5 / (x * x)) - -1.0) / fabs(x))) * (exp((x * x)) / sqrt(((double) M_PI)));
}
function code(x) return Float64(Float64(fma((abs(x) ^ -7.0), 1.875, Float64(0.75 / Float64(Float64(Float64(Float64(x * x) * x) * x) * abs(x)))) + Float64(Float64(Float64(0.5 / Float64(x * x)) - -1.0) / abs(x))) * Float64(exp(Float64(x * x)) / sqrt(pi))) end
code[x_] := N[(N[(N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(0.75 / N[(N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision] * N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] - -1.0), $MachinePrecision] / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{0.75}{\left(\left(\left(x \cdot x\right) \cdot x\right) \cdot x\right) \cdot \left|x\right|}\right) + \frac{\frac{0.5}{x \cdot x} - -1}{\left|x\right|}\right) \cdot \frac{e^{x \cdot x}}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (/ 1.0 (fabs x))))
(*
(/ 1.0 (sqrt PI))
(*
(exp (* x x))
(fma
t_0
(/ (fma 1.875 (/ 1.0 (* x x)) 0.75) (* (* (* x x) x) x))
(* (+ (/ 0.5 (* x x)) 1.0) t_0))))))
double code(double x) {
double t_0 = 1.0 / fabs(x);
return (1.0 / sqrt(((double) M_PI))) * (exp((x * x)) * fma(t_0, (fma(1.875, (1.0 / (x * x)), 0.75) / (((x * x) * x) * x)), (((0.5 / (x * x)) + 1.0) * t_0)));
}
function code(x) t_0 = Float64(1.0 / abs(x)) return Float64(Float64(1.0 / sqrt(pi)) * Float64(exp(Float64(x * x)) * fma(t_0, Float64(fma(1.875, Float64(1.0 / Float64(x * x)), 0.75) / Float64(Float64(Float64(x * x) * x) * x)), Float64(Float64(Float64(0.5 / Float64(x * x)) + 1.0) * t_0)))) end
code[x_] := Block[{t$95$0 = N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]}, N[(N[(1.0 / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision] * N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(t$95$0 * N[(N[(1.875 * N[(1.0 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 0.75), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * x), $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \frac{1}{\left|x\right|}\\
\frac{1}{\sqrt{\pi}} \cdot \left(e^{x \cdot x} \cdot \mathsf{fma}\left(t\_0, \frac{\mathsf{fma}\left(1.875, \frac{1}{x \cdot x}, 0.75\right)}{\left(\left(x \cdot x\right) \cdot x\right) \cdot x}, \left(\frac{0.5}{x \cdot x} + 1\right) \cdot t\_0\right)\right)
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
Applied rewrites100.0%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) x)))
(*
(* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x))))
(/ (+ (fma (/ (fabs x) t_0) 0.5 (/ 0.75 (* t_0 x))) 1.0) x))))
double code(double x) {
double t_0 = (x * x) * x;
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * ((fma((fabs(x) / t_0), 0.5, (0.75 / (t_0 * x))) + 1.0) / x);
}
function code(x) t_0 = Float64(Float64(x * x) * x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(Float64(fma(Float64(abs(x) / t_0), 0.5, Float64(0.75 / Float64(t_0 * x))) + 1.0) / x)) end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * x), $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[(N[(N[Abs[x], $MachinePrecision] / t$95$0), $MachinePrecision] * 0.5 + N[(0.75 / N[(t$95$0 * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] / x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot x\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \frac{\mathsf{fma}\left(\frac{\left|x\right|}{t\_0}, 0.5, \frac{0.75}{t\_0 \cdot x}\right) + 1}{x}
\end{array}
\end{array}
Initial program 100.0%
Applied rewrites49.9%
Taylor expanded in x around 0
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
Applied rewrites24.8%
Taylor expanded in x around inf
Applied rewrites99.6%
(FPCore (x) :precision binary64 (* (exp (* x x)) (/ (fma (pow (fabs x) -7.0) 1.875 (/ 1.0 (fabs x))) (sqrt PI))))
double code(double x) {
return exp((x * x)) * (fma(pow(fabs(x), -7.0), 1.875, (1.0 / fabs(x))) / sqrt(((double) M_PI)));
}
function code(x) return Float64(exp(Float64(x * x)) * Float64(fma((abs(x) ^ -7.0), 1.875, Float64(1.0 / abs(x))) / sqrt(pi))) end
code[x_] := N[(N[Exp[N[(x * x), $MachinePrecision]], $MachinePrecision] * N[(N[(N[Power[N[Abs[x], $MachinePrecision], -7.0], $MachinePrecision] * 1.875 + N[(1.0 / N[Abs[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[Sqrt[Pi], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot x} \cdot \frac{\mathsf{fma}\left({\left(\left|x\right|\right)}^{-7}, 1.875, \frac{1}{\left|x\right|}\right)}{\sqrt{\pi}}
\end{array}
Initial program 100.0%
Applied rewrites100.0%
Taylor expanded in x around inf
metadata-evalN/A
associate-/l*N/A
lower-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-exp.f64N/A
lower-/.f64N/A
Applied rewrites99.6%
(FPCore (x) :precision binary64 (* (* (/ 1.0 (sqrt PI)) (exp (* (fabs x) (fabs x)))) (/ 1.0 x)))
double code(double x) {
return ((1.0 / sqrt(((double) M_PI))) * exp((fabs(x) * fabs(x)))) * (1.0 / x);
}
public static double code(double x) {
return ((1.0 / Math.sqrt(Math.PI)) * Math.exp((Math.abs(x) * Math.abs(x)))) * (1.0 / x);
}
def code(x): return ((1.0 / math.sqrt(math.pi)) * math.exp((math.fabs(x) * math.fabs(x)))) * (1.0 / x)
function code(x) return Float64(Float64(Float64(1.0 / sqrt(pi)) * exp(Float64(abs(x) * abs(x)))) * Float64(1.0 / x)) end
function tmp = code(x) tmp = ((1.0 / sqrt(pi)) * exp((abs(x) * abs(x)))) * (1.0 / x); end
code[x_] := 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[(1.0 / x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\frac{1}{\sqrt{\pi}} \cdot e^{\left|x\right| \cdot \left|x\right|}\right) \cdot \frac{1}{x}
\end{array}
Initial program 100.0%
Applied rewrites49.9%
Taylor expanded in x around 0
metadata-evalN/A
metadata-evalN/A
lower-/.f64N/A
Applied rewrites24.8%
Taylor expanded in x around inf
lower-/.f6499.6
Applied rewrites99.6%
(FPCore (x) :precision binary64 (/ (/ 0.5 (* x x)) (* (sqrt PI) x)))
double code(double x) {
return (0.5 / (x * x)) / (sqrt(((double) M_PI)) * x);
}
public static double code(double x) {
return (0.5 / (x * x)) / (Math.sqrt(Math.PI) * x);
}
def code(x): return (0.5 / (x * x)) / (math.sqrt(math.pi) * x)
function code(x) return Float64(Float64(0.5 / Float64(x * x)) / Float64(sqrt(pi) * x)) end
function tmp = code(x) tmp = (0.5 / (x * x)) / (sqrt(pi) * x); end
code[x_] := N[(N[(0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(N[Sqrt[Pi], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{\frac{0.5}{x \cdot x}}{\sqrt{\pi} \cdot x}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
associate-*r*N/A
lower-*.f64N/A
pow2N/A
sqr-abs-revN/A
unpow3N/A
metadata-evalN/A
pow-prod-upN/A
pow-prod-downN/A
sqr-abs-revN/A
pow-prod-downN/A
pow-prod-upN/A
metadata-evalN/A
unpow3N/A
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f641.8
Applied rewrites1.8%
Applied rewrites1.8%
metadata-evalN/A
lift-/.f64N/A
lift-*.f64N/A
lift-*.f64N/A
pow2N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift-PI.f64N/A
associate-/r*N/A
pow2N/A
lower-/.f64N/A
pow2N/A
lower-/.f64N/A
metadata-evalN/A
pow2N/A
lift-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f641.8
Applied rewrites1.8%
(FPCore (x) :precision binary64 (/ 0.5 (* x (* x (* (sqrt PI) x)))))
double code(double x) {
return 0.5 / (x * (x * (sqrt(((double) M_PI)) * x)));
}
public static double code(double x) {
return 0.5 / (x * (x * (Math.sqrt(Math.PI) * x)));
}
def code(x): return 0.5 / (x * (x * (math.sqrt(math.pi) * x)))
function code(x) return Float64(0.5 / Float64(x * Float64(x * Float64(sqrt(pi) * x)))) end
function tmp = code(x) tmp = 0.5 / (x * (x * (sqrt(pi) * x))); end
code[x_] := N[(0.5 / N[(x * N[(x * N[(N[Sqrt[Pi], $MachinePrecision] * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{0.5}{x \cdot \left(x \cdot \left(\sqrt{\pi} \cdot x\right)\right)}
\end{array}
Initial program 100.0%
Taylor expanded in x around 0
Applied rewrites100.0%
Taylor expanded in x around 0
metadata-evalN/A
lower-/.f64N/A
metadata-evalN/A
associate-*r*N/A
lower-*.f64N/A
pow2N/A
sqr-abs-revN/A
unpow3N/A
metadata-evalN/A
pow-prod-upN/A
pow-prod-downN/A
sqr-abs-revN/A
pow-prod-downN/A
pow-prod-upN/A
metadata-evalN/A
unpow3N/A
lift-*.f64N/A
lift-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f641.8
Applied rewrites1.8%
Applied rewrites1.8%
lift-*.f64N/A
lift-*.f64N/A
lift-*.f64N/A
lift-sqrt.f64N/A
lift-PI.f64N/A
associate-*l*N/A
lower-*.f64N/A
lower-*.f64N/A
*-commutativeN/A
lower-*.f64N/A
lift-PI.f64N/A
lift-sqrt.f641.8
Applied rewrites1.8%
herbie shell --seed 2025136
(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)))))))